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Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Beating the UK brokerage via true arbitrage - £8k -> £98k ($128k) since 21st April

Beating the UK brokerage via true arbitrage - £8k -> £98k ($128k) since 21st April
Alright you American autists, here's a gains post from the UK across the pond - listen up because it's pretty incredible, managed to screw over our broker to turn ~£8k into £98k / $128k USD by reading the small print, true u/fuzzyblankeet style.

https://preview.redd.it/9mlup18v0q951.png?width=343&format=png&auto=webp&s=aea1393d304d16063d62d54d30cc5be9b23d937a
Unfortunately, we don't have options trading, commission free robinhood which crashes, or any other US based degeneracy, but instead we British chaps can trade "CFDs" ie. 'contracts-for-difference', which are essentially naked long / short positions with a 10-20% margin (5-10x leveraged), a 'holding cost' and you could theoretically lose more than your initial margin - sounds like true wallstreetbets autism, right? Well grab a lite beer (or whatever you lite alcoholic chaps drink over there) and strap in for this stuff:
So, CMC Markets, a UK based CFD brokerage, wanted to create a West Texas Intermediate Crude Oil 'Spot' product, despite WTI contracts trading in specific monthly expirations which can thus have severe contango effects (as all of you $USO call holders who got screwed know) - this was just a product called "Crude Oil West Texas - Cash", and was pegged to the nearest front-month, but had no expiry date, only a specific holding cost -> already a degenerate idea from their part.
So in early April, just before when the WTI May-20 expiry contract 'rolled' at **negative** $-37, the "WTI Cash" was trading at $15 at the time, but the *next* month June-20 expiry was still $30+ we (I am co-running an account with an ex-Goldman colleague of mine) simultaneously entered into a long position on the "WTI - Cash" product, and went short on the "WTI Jun-20 expiry", a pure convergence play. Sure enough, the June-20 tanked the following week, and we made over £35k, realised profits. But meanwhile the May-20 also tanked, and we were down £28k. But rather than realise this loss, we figured we could just hold it until Oil prices recover, and profit on both legs of the trade.
However, CMC Markets suddenly realised they are going to lose a lot of money with negative oil prices (Interactive Brokers lost $104m, also retards), so they screwed everyone holding the "WTI - Cash" product trading at $8 at the time, and pegged it to the December 2020 expiry trading at $30, with a 'discount factor' to catch up between the two.
https://preview.redd.it/zjjzyahx0q951.png?width=517&format=png&auto=webp&s=9523bab878f06702133631f12c1109081f299f65
Now fellow autists, read the above email and try to figure out what the pure arbitrage is. CMC markets will charge us a 0.61% **per day** holding cost (calculated as the 10x levered value of whatever original margin you put up, so in our case £8k*10x=£80k*0.61% = £500 per day, £1.5k on weekends for extra fun) on our open positions, but also "increase" the position value by 0.61% per day vs. the **previous day's** WTI - Cash value. Got it yet? No? Still retarded? Here's where maths really helps you make tendies:-> If your 'cost' is fixed at 0.61% of your original levered position, but your 'gains' are 0.61% of the previous day's position, then your gains will be ever increasing, whereas your costs are fixed.
So we added some extra £££ (as much as we could justifiably put into a degenerate 10x levered CFD account) and tried to see if it works. Long story short, it does. At this point in July we were making **over £1k per day on a £8k initial position*\* regardless where the WTI Dec-20 fwd moved.
Unfortunately, eventually CMC markets realised what utter retards they were, and closed down the arbitrage loophole, applying the holding costs to the previous day's value. But not before we turned £8k into £98k, less holding costs.
https://preview.redd.it/uh0f8knz0q951.png?width=553&format=png&auto=webp&s=c7e629f72de5aeb4e837ccef44ecae708f058bee
Long story short, puts on $CMCX they're total retards, and given what a startup robinhood / other brokerages are, never assume that only they are the ones taking your tendies away, sometimes you can turn the tables on them!
submitted by mppecapital to wallstreetbets [link] [comments]

The Mouthbreather's Guide to the Galaxy

The Mouthbreather's Guide to the Galaxy
Alright CYKAS, Drill Sgt. Retarded TQQQ Burry is in the house. Listen up, I'm gonna train yo monkey asses to make some motherfucking money.

“Reeee can’t read, strike?” - random_wsb_autist
Bitch you better read if you want your Robinhood to look like this:
gainz, bitch


Why am I telling you this?
Because I like your dumb asses. Even dickbutts like cscqb4. And because I like seeing Wall St. fucking get rekt. Y’all did good until now, and Wall St. is salty af. Just google for “retail traders” news if you haven’t seen it, and you’ll see the salty tears of Wall Street assholes. And I like salty Wall St. assholes crying like bitches.
https://www.zerohedge.com/markets/retail-investors-are-crushing-hedge-funds-again

That said, some of you here are really motherfucking dense & the sheer influx of retardation has been driving away some of the more knowledgeable folks on this sub. In fact, in my last post, y'all somehow managed to downvote to shit the few guys that really understood the points I was making and tried to explain it to you poo-slinging apes. Stop that shit yo! A lot of you need to sit the fuck down, shut your fucking mouth and listen.
So I'm going to try and turn you rag-tag band of dimwits into a respectable army of peasants that can clap some motherfucking Wall Street cheeks. Then, I'm going to give you a mouthbreather-proof trade that I don't think even you knuckleheads can mess up (though I may be underestimating you).
If you keep PM-ing me about your stupid ass losses after this, I will find out where you live and personally, PERSONALLY, shit on your doorstep.
This is going to be a long ass post. Read the damned post. I don't care if you're dyslexic, use text-to-speech. Got ADHD? Pop your addys, rub one out, and focus! Are you 12? Make sure to go post in the paper trading contest thread first.

THE RULES:
  1. Understand that most of this sub has the critical reading skills of a 6 year old and the attention span of a goldfish. As such, my posts are usually written with a level of detail aimed at the lowest common denominator. A lot of details on the thesis are omitted, but that doesn't mean that the contents in the post are all there is to it. If I didn't do that, every post'd have to be longer than this one, and 98% of you fucks wouldn't read it anyway. Fuck that.
  2. Understand that my style of making plays is finding the >10+ baggers that are underpriced. As such, ALL THE GOD DAMN PLAYS I POST ARE HIGH-RISK / HIGH-REWARD. Only play what you can afford to risk. And stop PM-ing me the second the market goes the other way, god damn it! If you can't manage your own positions, I'm going to teach your ass the basics.
  3. Do you have no idea what you're doing and have a question? Google it first. Then google it again. Then Bing it, for good measure. Might as well check PornHub too, you never know. THEN, if you still didn't find the answer, you ask.
  4. This sub gives me Tourette's. If you got a problem with that, well fuck you.

This shit is targeted at the mouthbreathers, but maybe more knowledgeable folk’ll find some useful info, idk. How do you know if you’re in the mouthbreather category? If your answer to any of the following questions is yes, then you are:
  • Are you new to trading?
  • Are you unable to manage your own positions?
  • Did you score into the negatives on the SAT Critical Reading section?
  • Do you think Delta is just an airline?
  • Do you buy high & sell low?
  • Do you want to buy garbage like Hertz or American Airlines because it's cheap?
  • Did you buy USO at the bottom and are now proud of yourself for making $2?
  • Do you think stOnKs oNLy Go uP because Fed brrr?
  • Do you think I'm trying to sell you puts?
  • If you take a trade you see posted on this sub and are down, do you PM the guy posting it?
  • Do you generally PM people on this sub to ask them basic questions?
  • Is your mouth your primary breathing apparatus?
Well I have just the thing for you!


Table of Contents:
I. Maybe, just maybe, I know what I’m talking about
II. Post-mortem of the February - March 2020 Great Depression
III. Mouthbreather's bootcamp on managing a position – THE TECHNICALS
IV. Busting your retarded myths
V. LIQUIDITY NUKE INBOUND
VI. The mouthbreather-proof trade - The Akimbo
VII. Quick hints for non-mouthbreathers


Chapter I - Maybe, just maybe, I know what I’m talking about
I'm not here to rip you off. Every fucking time I post something, a bunch of dumbasses show up saying I'm selling you puts or whatever the fuck retarded thoughts come through their caveman brains.
"hurr durr OP retarded, OP sell puts" - random_wsb_autist
Sit down, Barney, I'm not here to scam you for your 3 cents on OTM puts. Do I always get it right? Of course not, dumbasses. Eurodollar play didn't work out (yet). Last TQQQ didn't work out (yet). That’s just how it goes. Papa Buffet got fucked on airlines. Plain retard Burry bought GME. What do you fucking expect?
Meanwhile, I keep giving y'all good motherfucking plays:
  1. 28/10/2019: "I'ma say this again, in case you haven't heard me the first time. BUY $JNK PUTS NOW!". Strike: "11/15, 1/17 and 6/19". "This thing can easily go below 50, so whatever floats your boat. Around $100 strike is a good entry point."
  2. 3/9/2020: "I mean it's a pretty obvious move, but $JNK puts."
  3. 3/19/2020, 12pm: "UVXY put FDs are free money." & “Buy $UVXY puts expiring tomorrow if we're still green at 3pm. Trust me.”
  4. 3/24/2020: “$UUP 3/27 puts at $27.5 or $27 should be 10-baggers once the bill passes. I'd expect it to go to around $26.”
And of course, the masterpiece that was the TQQQ put play.
Chapter II. Post-mortem of the February - March 2020 Great Depression
Do you really understand what happened? Let's go through it.
I got in puts on 2/19, right at the motherfucking top, TQQQ at $118. I told you on 2/24 TQQQ ($108) was going to shit, and to buy fucking puts, $90ps, $70ps, $50ps, all the way to 3/20 $30ps. You think I just pulled that out of my ass? You think I just keep getting lucky, punks? Do you have any idea how unlikely that is?
Well, let's take a look at what the fuckstick Kevin Cook from Zacks wrote on 3/5:
How Many Sigmas Was the Flash Correction Plunge?
"Did you know that last week's 14% plunge in the S&P 500 SPY was so rare, by statistical measures, that it shouldn't happen once but every 14,000 years?"
"By several measures, it was about a 5-sigma move, something that's not "supposed to" happen more than once in your lifetime -- or your prehistoric ancestors' lifetimes!
"According to general statistical principles, a 4-sigma event is to be expected about every 31,560 days, or about 1 trading day in 126 years. And a 5-sigma event is to be expected every 3,483,046 days, or about 1 day every 13,932 years."

On 3/5, TQQQ closed at $81. I just got lucky, right? You should buy after a 5-sigma move, right? That's what fuckstick says:
"Big sigma moves happen all the time in markets, more than any other field where we collect and analyze historical data, because markets are social beasts subject to "wild randomness" that is not found in the physical sciences.
This was the primary lesson of Nassim Taleb's 2007 book The Black Swan, written before the financial crisis that found Wall Street bankers completely ignorant of randomness and the risks of ruin."
I also took advantage of the extreme 5-sigma sell-off by grabbing a leveraged ETF on the Nasdaq 100, the ProShares UltraPro QQQ TQQQ. In my plan, while I might debate the merits of buying AAPL or MSFT for hours, I knew I could immediately buy them both with TQQQ and be rewarded very quickly after the 14% plunge."
Ahahaha, fuckstick bought TQQQ at $70, cuz that's what you do after a random 5-sigma move, right? How many of you dumbasses did the same thing? Don't lie, I see you buying 3/5 on this TQQQ chart:
https://preview.redd.it/9ks35zdla5151.png?width=915&format=png&auto=webp&s=2c90d08494c52a1b874575ee233624e61ac27620
Meanwhile, on 3/3, I answered the question "Where do you see this ending up at in the next couple weeks? I have 3/20s" with "under 30 imo".

Well good fucking job, because a week later on 3/11, TQQQ closed at $61, and it kept going.
Nomura: Market staring into the abyss
"The plunge in US equities yesterday (12 March) pushed weekly returns down to 7.7 standard deviations below the norm. In statistical science, the odds of a greater-than seven-sigma event of this kind are astronomical to the point of being comical (about one such event every 160 billion years).
Let's see what Stephen Mathai-Davis, CFA, CQF, WTF, BBQ, Founder and CEO of Q.ai - Investing Reimagined, a Forbes Company, and a major fucktard has to say at this point:

"Our AI models are telling us to buy SPY (the SPDR S&P500 ETF and a great proxy for US large-cap stocks) but since all models are based on past data, does it really make sense? "
"While it may or may not make sense to buy stocks, it definitely is a good time to sell “volatility.” And yes, you can do it in your brokerage account! Or, you can ask your personal finance advisor about it."
"So what is the takeaway? I don’t know if now is the right time to start buying stocks again but it sure looks like the probabilities are in your favor to say that we are not going to experience another 7 standard deviation move in U.S. Stocks. OTM (out-of-the-money) Put Spreads are a great way to get some bullish exposure to a rally in the SPY while also shorting such rich volatility levels."
Good job, fuckfaces. Y'all bought this one too, admit it. I see you buying on this chart:
https://preview.redd.it/s9344geza5151.png?width=915&format=png&auto=webp&s=ebaef4b1414d901e6dafe354206ba39eb03cb199
Well guess what, by 3/18, a week later, we did get another 5 standard deviation move. TQQQ bottomed on 3/18 at $32.73. Still think that was just luck, punk? You know how many sigmas that was? Over 12 god-damn sigmas. 12 standard deviations. I'd have a much better chance of guessing everyone's buttcoin private key, in a row, on the first try. That's how unlikely that is.
https://preview.redd.it/luz0s3kbb5151.png?width=587&format=png&auto=webp&s=7542973d56c42e13efd3502331ac6cc5aea42630
"Hurr durr you said it's going to 0, so you're retarded because it didn't go to 0" - random_wsb_autist
Yeah, fuckface, because the Fed bailed ‘em out. Remember the $150b “overnight repo” bazooka on 3/17? That’s what that was, a bailout. A bailout for shitty funds and market makers like Trump's handjob buddy Kenny Griffin from Citadel. Why do you think Jamie Dimon had a heart attack in early March? He saw all the dogshit that everyone put on his books.

https://preview.redd.it/8fqvt37ama151.png?width=3711&format=png&auto=webp&s=0b06ee5101685c5274c6641a62ee9eb1a2a3f3ee


Read:
https://dealbreaker.com/2020/01/griffin-no-show-at-white-house
https://www.cnbc.com/2020/03/11/bank-ceos-convene-in-washington-with-president-trump-on-coronavirus.html
https://www.proactiveinvestors.co.uk/companies/news/914736/market-makers--didn-t-show-up-for-work--macro-risk-ceo-says-914736.html
https://www.chicagobusiness.com/finance-banking/chicago-trading-firms-seek-more-capital
https://www.housingwire.com/articles/did-non-qm-just-disappear-from-the-market/
https://www.bloomberg.com/news/articles/2020-03-22/bruised-hedge-funds-ask-clients-for-fresh-cash-to-buy-the-dip
https://fin24.com/Markets/Bonds/rand-bonds-rally-after-reserve-bank-intervention-20200320

Yup, everyone got clapped on their stupidly leveraged derivatives books. It seems Citadel is “too big to fail”. On 3/18, the payout on 3/20 TQQQ puts alone if it went to 0 was $468m. And every single TQQQ put expiration would have had to be paid. Tens or hundreds of billions on TQQQ puts alone. I’d bet my ass Citadel was on the hook for a big chunk of those. And that’s just a drop in the bucket compared to all the other blown derivative trades out there.

https://preview.redd.it/9ww27p2qb5151.png?width=2485&format=png&auto=webp&s=78f24265f3ea08fdbb37a4325f15ad9b61b0c694
Y’all still did good, 3/20 closed at $35. That’s $161m/$468m payoff just there. I even called you the bottom on 3/17, when I saw that bailout:

"tinygiraffe21 1 point 2 months ago
Haha when? I’m loading up in 4/17 25 puts"
"dlkdev
Scratch that, helicopter money is here."
"AfgCric 1 point 2 months ago
What does that mean?"
"It means the Fed & Trump are printing trillions with no end in sight. If they go through with this, this was probably the bottom."

"hurr durr, it went lower on 3/18 so 3/17 wasn't the bottom" - random_wsb_autist
Idiot, I have no way of knowing that Billy boy Ackman was going to go on CNBC and cry like a little bitch to make everyone dump, so he can get out of his shorts. Just like I have no way of knowing when the Fed decides to do a bailout. But you react to that, when you see it.
Do you think "Oh no world's ending" and go sell everything? No, dumbass, you try to figure out what Billy's doing. And in this case it was pretty obvious, Billy saw the Fed train coming and wanted to close his shorts. So you give the dude a hand, quick short in and out, and position for Billy dumping his short bags.
Video of Billy & the Fed train

Here's what Billy boy says:
“But if they don’t, and the government takes the right steps, this hedge could be worth zero, and the stock market could go right back up to where it was. So we made the decision to exit.”
https://www.businessinsider.sg/bill-ackman-explains-coronavirus-trade-single-best-all-time-podcast-2020-5
Also, “the single best trade of all time.” my ass, it was only a 100-bagger. I gave y’all a 150-bagger.
So how could I catch that? Because it wasn't random, yo. And I'm here to teach your asses how to try to spot such potential moves. But first, the technical bootcamp.

Chapter III. Mouthbreather's bootcamp on managing a position – THE TECHNICALS

RULE 1. YOU NEVER BUY OPTIONS AT OPEN. You NEVER OVERPAY for an option. You never FOMO into buying too fast. You NEVER EVER NEVER pump the premium on a play.
I saw you fuckers buying over 4k TQQQ 5/22 $45 puts in the first minutes of trading. You pumped the premium to over $0.50 dudes. The play's never going to work if you do that, because you give the market maker free delta, and he's going to hedge that against you. Let me explain simply:

Let's say a put on ticker $X at strike $50 is worth $1, and a put at strike $51 is worth $2.
If you all fomo in at once into the same strike, the market maker algos will just pull the asks higher. If you overpay at $2 for the $50p, the market maker will just buy $51ps for $2 and sell you $50ps for 2$. Or he'll buy longer-dated $50ps and sell you shorter-dated $50ps. Max risk for him is now 0, max gain is $1. You just gave him free downside insurance, so of course he's going to start going long. And you just traded against yourself, congrats.

You need to get in with patience, especially if you see other autists here wanting to go in at the same time. Don't step on each other's toes. You put in an order, and you wait for it to fill for a couple of seconds. If it doesn't fill, AND the price of the option hasn't moved much recently, you can bump the bid $0.01. And you keep doing that a few times. Move your strikes, if needed. Only get a partial fill or don't get a fill at all? You cancel your bid. Don't fucking leave it hanging there, or you're going to put a floor on the price. Let the mm algos chill out and go again later.

RULE 2. WATCH THE TIME. Algos are especially active at x:00, x:02, x:08, x:12, x:30 and x:58. Try not to buy at those times.
RULE 3. YOU USE MULTIPLE BROKERS. Don't just roll with Robinhood, you're just gimping yourself. If you don't have another one, open up a tasty, IB, TD, Schwab, whatever. But for cheap faggy puts (or calls), Robinhood is the best. If you want to make a play for which the other side would think "That's free money!", Robinhood is the best. Because Citadel will snag that free money shit like no other. Seriously, if you don't have a RH account, open one. It's great for making meme plays.

RULE 4. YOU DON'T START A TRADE WITH BIG POSITIONS. Doesn't matter how big or small your bankroll is. If you go all-in, you're just gambling, and the odds are stacked against you. You need to have extra cash to manage your positions. Which leads to
RULE 5. MANAGING YOUR WINNERS: Your position going for you? Good job! Now POUND THAT SHIT! And again. Move your strikes to cheaper puts/calls, and pound again. And again. Snowball those gains.
RULE 6A. POUND THOSE $0.01 PUTS:
So you bought some puts and they’re going down? Well, the moment they reach $0.01, YOU POUND THOSE PUTS (assuming there’s enough time left on them, not shit expiring in 2h). $0.01 puts have amazing risk/return around the time they reach $0.01. This is not as valid for calls. Long explanation why, but the gist of it is this: you know how calls have unlimited upside while puts have limited upside? Well it’s the reverse of that.
RULE 6B. MANAGING YOUR LOSERS:
Your position going against you? Do you close the position, take your loss porn and post it on wsb? WRONG DUMBASS. You manage that by POUNDING THAT SHIT. Again and again. You don't manage losing positions by closing. That removes your gainz when the market turns around. You ever close a position, just to have it turn out it would have been a winner afterwards? Yeah, don't do that. You manage it by opening other positions. Got puts? Buy calls. Got calls? Buy puts. Turn positions into spreads. Buy spreads. Buy the VIX. Sell the VIX. They wanna pin for OPEX? Sell them options. Not enough bankroll to sell naked? Sell spreads. Make them fight you for your money, motherfuckers, don't just give it away for free. When you trade, YOU have the advantage of choosing when and where to engage. The market can only react. That's your edge, so USE IT! Like this:

Example 1:
Initial TQQQ 5/22 position = $5,000. Starts losing? You pound it.

https://preview.redd.it/gq938ty8e5151.png?width=944&format=png&auto=webp&s=734ab7ed517f0e6822bfaaed5765d1272de398d1
Total pounded in 5/22 TQQQ puts = $10,824. Unfortunately expired worthless (but also goes to show I'm not selling you puts, dickwads)
Then the autists show up:
"Hahaha you lost all your money nice job you fucking idiot why do you even live?" - cscqb4
Wrong fuckface. You see the max pain at SPX 2975 & OPEX pin coming? Sell them some calls or puts (or spreads).

https://preview.redd.it/7nv23fr41a151.jpg?width=750&format=pjpg&auto=webp&s=14a8879c975646ffbfe2942ca1982bfabfcf90df
Sold 9x5/20 SPX [email protected], bam +$6,390. Still wanna pin? Well have some 80x5/22 TQQQ $80cs, bam anotha +$14,700.

https://preview.redd.it/1iqtpmc71a151.jpg?width=750&format=pjpg&auto=webp&s=df9b954131b0877f4acc43038b4a5a4acf544237
+$21,090 - $10,824 = +$10,266 => Turned that shit into a +94.85% gain.

.cscqb4 rn

You have a downside position, but market going up or nowhere? You play that as well. At least make some money back, if not profit.

Example 2:

5/22, long weekend coming right? So you use your brain & try to predict what could happen over the 3-day weekend. Hmm, 3 day weekend, well you should expect either a shitty theta-burn or maybe the pajama traders will try to pooomp that shite on the low volume. Well make your play. I bet on the shitty theta burn, but could be the other, idk, so make a small play.

Sold some ES_F spreads (for those unaware, ES is a 50x multiplier, so 1 SPX = 2 ES = 10 SPY, approximately). -47x 2955/2960 bear call spreads for $2.5. Max gain is $2.5, max loss is 2960-2955 = $5. A double-or-nothing basically. That's $5,875 in premium, max loss = 2x premium = $11,750.
Well, today comes around and futures are pumping. Up to 3,014 now. Do you just roll over? You think I'm gonna sit and take it up the ass? Nah bros that's not how you trade, you fucking fight them. How?
I have:
47x 2960 calls
-47x 2955 calls

Pajama traders getting all up in my grill? Well then I buy back 1 of the 2955 calls. Did that shit yesterday when futures were a little over 2980, around 2982-ish. Paid $34.75, initially shorted at $16.95, so booked a -$892 loss, for now. But now what do I have?

46x 2955/2960 bear calls
1x 2960 long call

So the fuckers can pump it. In fact, the harder they pump it, the more I make. Each $2.5 move up in the futures covers the max loss for 1 spread. With SPX now at ~3015, that call is $55 ITM. Covers 24/46 contracts rn. If they wanna run it up, at 3070 it's break-even. Over that, it's profit. I'll sell them some bear call spreads over 3050 if they run it there too. They gonna dump it? well under 2960 it's profit time again. They wanna do a shitty pin at 3000 today? Well then I'll sell them some theta there.
Later edit: that was written yesterday. Got out with a loss of only $1.5k out of the max $5,875. Not bad.
And that, my dudes, is how you manage a position.

RULE 7 (ESPECIALLY FOR BEARS). YOU DON'T KEEP EXTRA CASH IN YOUR BROKER ACCOUNT. You don't do it with Robinhood, because it's a shitty dumpsterfire of a broker. But you don't do it with other brokers either. Pull that shit out. Preferably to a bank that doesn't play in the markets either, use a credit union or some shit. Why? Because you're giving the market free liquidity. Free margin loans. Squeeze that shit out, make them work for it. Your individual cash probably doesn't make a dent, but a million autists with an extra $1200 trumpbucks means $1.2b. That's starting to move the needle. You wanna make a play, use instant deposits. And that way you don't lose your shit when your crappy ass broker or bank gets its ass blown up on derivative trades. Even if it's FDIC or SIPC insured, it's gonna take time until you see that money again.


Chapter IV. BUSTING YOUR RETARDED MYTHS

MYTH 1 - STONKS ONLY GO UP

Do you think the market can go up forever? Do you think stOnKs oNLy Go uP because Fed brrr? Do you think SPX will be at 5000 by the end of the month? Do you think $1.5 trillion is a good entry point for stonks like AAPL or MSFT? Do you want to buy garbage like Hertz or American Airlines because it's cheap? Did you buy USO at the bottom and are now proud of yourself for making $2? Well, this section is for you!
Let's clear up the misconception that stonks only go up while Fed brrrs.

What's your target for the SPX top? Think 3500 by the end of the year? 3500 by September? 4000? 4500? 5000? Doesn't matter, you can plug in your own variables.

Let's say SPX only goes up, a moderate 0.5% each period as a compounded avg. (i.e. up a bit down a bit whatever, doesn't matter as long as at the end of your period, if you look back and do the math, you'll get that number). Let's call this variable BRRR = 0.005.

Can you do the basic math to calculate the value at the end of x periods? Or did you drop out in 5th grade? Doesn't matter if not, I'll teach you.


Let's say our period is one week. That is, SPX goes up on average 0.5% each week on Fed BRRR:
2950 * (1.005^x), where x is the number of periods (weeks in this case)

So, after 1 month, you have: 2950 * (1.005^4) = 3009
After 2 months: 2950 * (1.005^8) = 3070
End of the year? 2950 * (1.005^28) = 3392

Now clearly, we're already at 3015 on the futures, so we're moving way faster than that. More like at a speed of BRRR = 1%/wk

2950 * (1.01^4) = 3069
2950 * (1.01^8) = 3194
2950 * (1.01^28) = 3897


Better, but still slower than a lot of permabulls would expect. In fact, some legit fucks are seriously predicting SPX 4000-4500 by September. Like this dude, David Hunter, "Contrarian Macro Strategist w/40+ years on Wall Street". IDIOTIC.
https://twitter.com/DaveHcontrarian/status/1263066368414568448

That'd be 2950 * (BRRR^12) = 4000 => BRRR = 1.0257 and 2950 * (BRRR^12) = 4500 => BRRR = 1.0358, respectively.

Here's why that can't happen, no matter the amount of FED BRRR: Leverage. Compounded Leverage.

There's currently over $100b in leveraged etfs with a 2.5x avg. leverage. And that's just the ones I managed to tally, there's a lot of dogshit small ones on top of that. TQQQ alone is now at almost $6b in AUM (topped in Fed at a little over $7b).

Now, let's try to estimate what happens to TQQQ's AUM when BRRR = 1.0257. 3XBRRR = 1.0771. Take it at 3XBRRR = 1.07 to account for slippage in a medium-volatility environment and ignore the fact that the Nasdaq-100 would go up more than SPX anyway.

$6,000,000,000 * (1.07^4) = $7,864,776,060
$6,000,000,000 * (1.07^8) = $10,309,100,000
$6,000,000,000 * (1.07^12) = $13,513,100,000
$6,000,000,000 * (1.07^28) = $39,893,000,000.

What if BRRR = 1.0358? => 3XBRR = 1.1074. Take 3XBRRR = 1.10.
$6,000,000,000 * (1.1^4) = $8,784,600,000
$6,000,000,000 * (1.1^8) = $12,861,500,000
$6,000,000,000 * (1.1^12) = $18,830,600,000
$6,000,000,000 * (1.1^28) = $86,526,000,000

And this would have to get 3x leveraged every day. And this is just for TQQQ.

Let's do an estimation for all leveraged funds. $100b AUM, 2.5 avg. leverage factor, BRRR = 1.0257 => 2.5BRRR = 1.06425

$100b * (1.06^4) = $128.285b
$100b * (1.06^8) = $159.385b
$100b * (1.06^12) = $201.22b
$100b * (1.06^28) = $511.169b

That'd be $1.25 trillion sloshing around each day. And the market would have to lose each respective amount of cash into these leveraged funds. Think the market can do that? You can play around with your own variables. But understand that this is just a small part of the whole picture, many other factors go into this. It's a way to put a simple upper limit on an assumption, to check if it's reasonable.

In the long run, it doesn't matter if the Fed goes BRRR, if TQQQ takes in it's share of 3XBRRR. And the Fed can't go 3XBRRR, because then TQQQ would take in 9XBRRR. And on top of this, you have a whole pile of leveraged derivatives on top of these leveraged things. Watch (or rewatch) this: Selena Gomez & Richard H. Thaler Explaining Synthetic CDO through BLACKJACK

My general point, at the mouth-breather level, is that Fed BRRR cannot be infinite, because leverage.
And these leveraged ETFs are flawed instruments in the first place. It didn't matter when they started out. TQQQ and SQQQ started out at $8m each. For the banks providing the swaps, for the market providing the futures contracts, whatever counter-party to whatever instrument they would use, that was fine. Because it balanced out. When TQQQ made a million, SQQQ lost a million (minus a small spread, which was the bank's profit). Bank was happy, in the long run things would even out. Slippage and spreads and fees would make them money. But then something happened. Stonks only went up. And leveraged ETFs got bigger and more and more popular.
And so, TQQQ ended up being $6-7b, while SQQQ was at $1b. And the same goes for all the other ETFs. Long leveraged ETF AUM became disproportionate to short AUM. And it matters a whole fucking lot. Because if you think of the casino, TQQQ walks up every day and says "I'd like to put $18b on red", while SQQQ walks up and says "I'd only like to put $3b on black". And that, in turn, forces the banks providing the swaps to either eat shit with massive losses, or go out and hedge. Probably a mix of both. But it doesn't matter if the banks are hedged, someone else is on the other side of those hedges anyway. Someone's eating a loss. Can think of it as "The Market", in general, eating the loss. And there's only so much loss the market can eat before it craps itself.

If you were a time traveller, how much money do you think you could make by trading derivatives? Do you think you could make $20 trillion? You know the future prices after all... But no, you couldn't. There isn't enough money out there to pay you. So you'd move the markets by blowing them up. Call it the Time-travelling WSB Autist Paradox.

If you had a bucket with a hole in the bottom, even if you poured an infinite amount of water into it, it would never be full. Because there's a LIQUIDITY SINK, just like there is one in the markets.
And that, my mouth-breathing friends, is the reason why FED BRRR cannot be infinite. Or alternatively, "STONKS MUST GO BOTH UP AND DOWN".

MYTH 2 - YOU CAN'T TIME THE MARKET

On Jan 14, 2020, I predicted this: Assuming that corona doesn't become a problem, "AAPL: Jan 28 $328.3, Jan 31 $316.5, April 1 $365.7, May 1 $386, July 1 $429 December 31 $200."
Now take a look at the AAPL chart in January. After earnings AAPL peaked at $327.85. On 1/31, after the 1st hour of trading, when the big boys make moves, it was at $315.63. Closed 1/31 at $309.51. Ya think I pulled this one out of my ass too?
Yes you can time it. Flows, motherfucker, flows. Money flow moves everything. And these days, we have a whole lot of RETARDED FLOW. Can't even call it dumb flow, because it literally doesn't think. Stuff like:

  • ETF flows. If MSFT goes up and AAPL goes down, part of that flow is going to move from AAPL to MSFT. Even if MSFT flash-crashes up to $1000, the ETF will still "buy". Because it's passive.
  • Option settlement flows. Once options expire, money is going to flow from one side to another, and that my friends is accurately predictable from the data.
  • Index rebalancing flows
  • Buyback flows
  • 401k passive flows
  • Carry trade flows
  • Tax day flows
  • Flows of people front-running the flows

And many many others. Spot the flow, and you get an edge. How could I predict where AAPL would be after earnings within 50 cents and then reverse down to $316 2 days later? FLOWS MOTHERFUCKER FLOWS. The market was so quiet in that period, that is was possible to precisely figure out where it ended up. Why the dump after? Well, AAPL earnings (The 8-K) come out on a Wednesday. The next morning, after market opens the 10-Q comes out. And that 10-Q contains a very important nugget of information: the latest number of outstanding shares. But AAPL buybacks are regular as fuck. You can predict the outstanding shares before the market gets the 10-Q. And that gives you EDGE. Which leads to

MYTH 3 - BUYBACKS DON'T MATTER

Are you one of those mouthbreathers that parrots the phrase "buybacks are just a tax-efficient way to return capital to shareholders"? Well sit the fuck down, I have news for you. First bit of news, you're dumb as shit. Second bit:

On 1/28, AAPL's market cap is closing_price x free_float_outstanding_shares. But that's not the REAL MARKET CAP. Because the number of outstanding shares is OLD AS FUCK. When the latest number comes out, the market cap changes instantly. And ETFs start moving, and hedges start being changed, and so on.

"But ETFs won't change the number of shares they hold, they will still hold the same % of AAPL in the index" - random_wsb_autist

Oh my fucking god you're dumb as fuck. FLOWS change. And the next day, when TQQQ comes by and puts its massive $18b dong on the table, the market will hedge that differently. And THAT CAN BE PREDICTED. That's why AAPL was exactly at $316 1 hour after the market opened on 1/31.

So, what can you use to spot moves? Let me show you:
Market topped on 2/19. Here’s SPY. I even marked interesting dates for you with vertical lines.

https://preview.redd.it/7agm171eh5151.png?width=3713&format=png&auto=webp&s=d94b90dcd634c8dc688925585bf0a02c3299f71b
Nobody could have seen it coming, right? WRONG AGAIN. Here:

https://preview.redd.it/i1kdp3cgh5151.png?width=3713&format=png&auto=webp&s=7a1e086e9217846547efd3b6c5249f4a7ebe6d9e
In fact, JPYUSD gave you two whole days to see it. Those are NOT normal JPYUSD moves. But hey maybe it’s just a fluke? Wrong again.

https://preview.redd.it/fsyhenckh5151.png?width=3693&format=png&auto=webp&s=03200e10b008257ae15d40b474c4cf4d8c23670f
Forex showed you that all over the place. Why? FLOWS MOTHERFUCKER FLOWS. When everything moves like that, it means the market needs CASH. It doesn’t matter why, but remember people pulling cash out of ATMs all over the world? Companies drawing massive revolvers? Just understand what this flow means.
The reversal:
https://preview.redd.it/4xe97l0oh5151.png?width=1336&format=png&auto=webp&s=07aaa93f6b1d8f542101e40e431edccbc109918f
https://preview.redd.it/v6i0pdmoh5151.png?width=1338&format=png&auto=webp&s=74d5589961db2f978d4d582e6d7c58a85f6305f9
But it wasn’t just forex. Gold showed it to you as well. Bonds showed it to you as well.
https://preview.redd.it/40j53u8th5151.png?width=3711&format=png&auto=webp&s=fe39ab51321d0f98149d33e33253e69f96c48e23
Even god damn buttcoin showed it to you.
https://preview.redd.it/43lvafhvh5151.png?width=3705&format=png&auto=webp&s=1ef53283cbc0fb97f71c1ba935c0bd747809636e
And they all did it for 2 days before the move hit equities.

Chapter V. LIQUIDITY NUKE INBOUND
You see all these bankruptcies that happened so far, and all the ones that are going to follow? Do you think that’s just dogshit companies and it won’t have major effects on anything outside them? WRONG.
Because there’s a lot of leveraged instruments on top of those equities. When the stock goes to 0, all those outstanding puts across all expirations get instantly paid.
Understand that Feb-March was a liquidity MOAB. But this will end with a liquidity nuke.
Here’s just HTZ for example: $239,763,550 in outstanding puts. Just on a single dogshit small-cap company (this thing was like $400m mkt. cap last week).
And that’s just the options on the equity. There’s also instruments on etfs that hold HTZ, on the bonds, on the ETFs that hold their bonds, swaps, warrants, whatever. It’s a massive pile of leverage.
Then there’s also the ripple effects. Were you holding a lot of HTZ in your brokerage margin account? Well guess what big boi, when that gaps to 0 you get a margin call, and then you become a liquidity drain. Holding long calls? 0. Bonds 0. DOG SHIT!
And the market instantly goes from holding $x in assets (HTZ equity / bonds / calls) to holding many multiples of x in LIABILITIES (puts gone wrong, margin loans, derivatives books, revolvers, all that crap). And it doesn’t matter if the Fed buys crap like HTZ bonds. You short them some. Because when it hits 0, it’s no longer about supply and demand. You get paid full price, straight from Jerome’s printer. Is the Fed going to buy every blown up derivative too? Because that's what they'd have to do.
Think of liquidity as a car. The faster it goes, the harder it becomes to go even faster. At some point, you can only go faster by driving off a cliff. THE SQUEEZE. But you stop instantly when you hit the ground eventually. And that’s what shit’s doing all over the place right now.
Rewatch: https://www.youtube.com/watch?v=3hG4X5iTK8M
And just like that fucker, “I’m standing in front of a burning house, and I’m offering you fire insurance on it.”

Don’t baghold!
Now is not the time to baghold junk. Take your cash. Not the time to buy cheap crap. You don’t buy Hertz. You don’t buy USO. You don’t buy airlines, or cruises, or GE, or motherfucking Disney. And if you have it, dump that shit.
And the other dogshit that’s at ATH, congrats you’re in the green. Now you take your profits and fucking dump that shit. I’m talking shit like garbage SaaS, app shit, AI shit, etc. Garbage like MDB, OKTA, SNAP, TWLO, ZM, CHGG etc.
And you dump those garbage ass leveraged ETFs. SQQQ, TQQQ, whatever, they’re all dogshit now.
The leverage MUST unwind. And once that’s done, some of you will no longer be among us if you don’t listen. A lot of leveraged ETFs will be gone. Even some non-leveraged ETFs will be gone. Some brokers will be gone, some market makers will be gone, hell maybe even some big bank has to go under. I can’t know which ones will go poof, but I can guarantee you that some will. Another reason to diversify your shit. There’s a reason papa Warrant Buffet dumped his bags, don’t think you’re smarter than him. He may be senile, but he’s still a snake.
And once the unwind is done, THEN you buy whatever cheap dogshit’s still standing.
Got it? Good.
You feel ready to play yet? Alright, so you catch a move. Or I post a move and you wanna play it. You put on a small position. When it’s going your way, YOU POUND DAT SHIT. Still going? Well RUSH B CYKA BLYAT AND PLANT THE GOD DAMN 3/20 $30p BOMB.

Chapter VI - The mouthbreather-proof play - THE AKIMBO
Still a dumbass that can’t make a play? Still want to go long? Well then, I got a dumbass-proof trade for you. I present to you THE AKIMBO:

STEP 1. You play this full blast. You need some real Russian hardbass to get you in the right mood for trading, cyka.
STEP 2. Split your play money in 3. Remember to keep extra bankroll for POUNDING THAT SHIT.
STEP 3. Use 1/3 of your cash to buy SQQQ 9/18 $5p, pay $0.05. Not more than $0.10.
STEP 4. Use 1/3 of your cash to buy TQQQ 9/18 $20p, pay around $0.45. Alternatively, if you’re feeling adventurous, 7/17 $35p’s for around $0.5.
STEP 5. Use 1/3 of your cash to buy VIX PUT SPREADS 9/15 $21/$20 spread for around $0.15, no more than $0.25. That is, you BUY the 21p and SELL the 20p. Only using Robinhood and don’t have the VIX? What did I just tell you? Well fine, use UVXY then. Just make sure you don’t overpay.


Chapter VII - Quick hints for non-mouthbreathers
Quick tips, cuz apparently I'm out of space, there's a 40k character limit on reddit posts. Who knew?

  1. Proshares is dogshit. If you don't understand the point in my last post, do this: download https://accounts.profunds.com/etfdata/ByFund/SQQQ-historical_nav.csv and https://accounts.profunds.com/etfdata/ByFund/SQQQ-psdlyhld.csv. Easier to see than with TQQQ. AUM: 1,174,940,072. Add up the value of all the t-bills = 1,686,478,417.49 and "Net other assets / cash". It should equal the AUM, but you get 2,861,340,576. Why? Because that line should read: NET CASH = -$511,538,344.85
  2. Major index rebalancing June 22.
  3. Watch the violent forex moves.
  4. 6/25 will be red. Don't ask, play a spread, bag a 2x-er.
  5. 6/19 will be red.
  6. Not settled yet, but a good chance 5/28 is red.
  7. Front run the rebalance. Front-run the front-runners of the rebalance too. TQQQ puts.
  8. Major retard flow in financials yesterday. Downward pressure now. GS 180 next weeks looks good.
  9. Buy leaps puts on dogshit bond ETFs (check holdings for dogshit)
  10. Buy TLT 1/15/2021 $85ps for cheap, sell over $1 when the Fed stops the ass rape, rinse and repeat
  11. TQQQ flow looks good:
https://preview.redd.it/untvykuxea151.jpg?width=750&format=pjpg&auto=webp&s=a0a38c0acb088ebff689d043e48466eb76d38e2f

Good luck. Dr. Retard TQQQ Burry out.
submitted by dlkdev to wallstreetbets [link] [comments]

Forex trader looking to start trading Crytpo as well (help with brokers and lot sizes?)

Hey there -- I'm no stranger to trading. I trade Forex and Futures. I'm also not a complete newb to cryptocurrency in general, but I am when it comes to actively trading it.
To me, it just seems like Forex but with crypto and I'd really like to start building up my crypto holdings by "trading up" my account rather than solely just converting cash into crypto over time.
What is confusing me a little bit is lot sizing, leverage, and the right brokers to use.
I was eyeing CryptoAltum if anybody has experience with that?
Although I'd prefer something I can trade with Tradingview (my preferred charting / execution platform).
Aslo -- lot sizing.
With Forex it's pretty simple...
1,000 = micro-lot (approx. 10 cents per pip value on majors)
10,000 = mini-lot (approx $1 per pip value on majors)
100,000 = standard lot (approx $10 per pip value on majors).
But how is lot sizing determined with Crypto pairs?
I'm interested in trading crypto-against-crypto (for example LTC/BTC).
Is there an online calculator somewhere where I can easily determine the value per pip (or "tick"?) based on leverage and lot size?
Sorry if this has been answered a bazillion times.
submitted by AHoomanBeanz to CryptoCurrency [link] [comments]

Minimizing risk in Forex Trading

https://www.safeinvestingsites.com/minimizing-risk-in-the-forex-trading-useful-software-forex-trendy/
Why did Forex Traders fail? One of the reasons is the lack of risk management! Most people try Forex trading because they heard or read the success story of Forex Trader somewhere. He may be a relative, friend, or experienced trader. They jump into Forex trading and here they get the option of Leverage or margin. Every Forex trading account provider allows you to trade big against less balance in your account.
It is good but only experienced traders can use it for profit. It gives you a bigger chance to earn money but, even bigger risk opens, as you may lose entire money in your account in just one trade!!! It is no joke. It happens to every trader because of shame he doesn’t tell others about his huge loss. There are many reasons to fail in Forex trading like over trading, trading addiction, not adapting to market conditions, trade without a proper plan, and most important unrealistic expectations.
The trader expects a huge profit in a single trade and even if he is in loss, he doesn’t exit the trade by taking a minimum loss. He waits, waits, and waits until the end. The result is obvious. Huge Loss! Here comes the Forex risk management calculator to help you. There are many Forex risk management calculators in the market. You can download it from the Google play store. Using the Forex risk management calculator you get an idea about how to trade safely in the Forex market
submitted by bhagwat68 to investing [link] [comments]

When does leverage matter?

Hey, guys! Beginner trader here. I'm trying to ease myself into this and I want to make sure I have plenty of opportunities to make mistakes, and learn from them. Right now, I'm struggling to understand leverage; I see how risky it is, and I understand how to calculate it, but I don't understand how that effects my actual account. So if anyone can explain what I can expect here, I would appreciate it.
So I have an account with Hugo's Way. I use Bitcoin for my account, so my initial deposit was .005 BTC ($50, for argument's sake), but I added another .01 BTC ($100) before I did any trading. So my account started at a total of .015 BTC ($150), and I chose a leverage of 1:50. Due to my inexperience, I proceeded to lose about .001 BTC ($10). After consulting my teacher, who isn't exactly a forex guru, I was told to change my leverage to 1:500, and I did so, thinking it was safer, which in hindsight probably wasn't where my teacher's mind was. Afterward, through a mix of trades that I can learn from and some genuine bad luck, I lost another .001 BTC ($10), leaving my account with .013 BTC ($130) remaining. So I decided to refresh my understanding of leverage, and by my calculations, I should owe 5.05 BTC ($50,500)... Yikes. However, I see no indication that someone is looking to collect or sue my pants off.
So my calculations must be way off, but what am I getting wrong? I was thinking my broker would ask for reimbursement if I closed this account. But I read somewhere that it's calculated during my trades, so it's the big red or blue number I see next to my pips, meaning it's the same as my net profit. I've even read one top answer saying the broker doesn't care! I think I'm overreacting, but before I continue trading, I need to ask: how screwed am I really?
submitted by freezecook to Forex [link] [comments]

Statistical Edge Trading

Statistical Edge Trading

Statistical Edge Trading

Have you ever traded with statistical edge? Our Allen trade talks about backing up the trading network and leveraging it from excellent newspapering. This is a stage that is undermined by many traders but fairly, it can be a crucial factor in boosting your trust and believing in your system. For those interested in this sort of research, you can check out the FTMO Statistical Application.
Trading with a Statistical edge
Although many traders back-test and record their trades to verify the trading system 's feasibility, monitoring and using the data to maximize both your stop loss and profit goal is a tremendous advantage. Two of the most critical pieces of data that I record when reporting trades is the drawdown and the benefit potential.

The drawdown, to be sure, is how far a trade goes against my place before it goes in my favour.

Whereas the benefit potential is the maximum distance from my entry which the trade moves in my favor. It isn't important and it's uncommon, in general, that I actually exit the trade. Yet definitely coming out at or as close as can be.
Firstly, I record my trades in two ways, using screenshots of the charts themselves where I annotate my entry, date, type of trade and all other relevant details related to my methodology, such as strength and weakness analysis , multiple time frame analysis and correlation. I also note on the map the drawdown and benefit potential of the trade.

Then I go through my Excel spreadsheet with main details. See "excel" below.

Excel spreadsheet with main details.

This includes the date, day, session, pair, time, route, entry price, closing price, type of setup, type of entry, type of exit, drawdown, potential for benefit and outcome. I then let excel do all the heavy lifting for myself as I can sort my trades numerous ways, by day, by session, by pair, by route, by type of set-up etc.

But where the really cool stuff is under the "Mind-blowing stats" tab where I have some of the above filterable statistics that will help me to optimize both my stop loss and my benefit goal.

Here is a summary of the specification.

When you use a risk percentage account to calculate your position size (as you should), so the lower the pause, the larger a position size you will trade in. The stop must, therefore, have a high likelihood of remaining. The vast majority of trading books, guides, videos, etc., advise that after a recent high / low swing, the stop will be many pips.

But my trade documents helped me to come up with a statistical advantage for my stoppage placement.

As can be seen in the "Drawdown" tag, Trading my Type 1 BO (breakout out) on GBPAUD, 79.55 percent of the time my drawdown was less than 25 pips, although it was just 81.82 percent at 30 pips and 84.09 percent at 35 pips.

Statistical Edge Trading
So when using a larger pause, an extra loss or 2, the advantage of having a greater size of the place and thereby netting more money makes the extra loss(s) inconsequential.

Furthermore, the income goal can also be optimized.

Looking at the "Profit Potential" connection and remaining on GBPAUD again for my Type 1 BO trades, we can easily see that almost 80 percent of the time, those trades get between 20 and 30 pips.

Statistical Edge Trading (b)
It is a perfect place to take off 1/2 of the spot and push the stop to flat. So we can let the rest of the half run to about 50 pips where 59.09 percent of the trades touch.

Obviously market conditions aren't always the same, so if you can recognise when they are, i.e. linked moves or strengthening or weakening other classes (commodity pairs or safe haven pairs), then you can make educated decisions about how far a trade will go.

Statistical Edge Trading (meme)

I hope this information 's helpful to you.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
submitted by Eva_Canares to FTMO_Forex_Trading [link] [comments]

Daily rollover (swap) interest for IB spot forex trading.

I want to open an IB (interactive broker) trading account for spot forex.
  1. I have no way to find the place for daily position carrying interest (rollover or swap).

  1. Is there a place to set your leverage level, e.g., 1:30 or 1:100.

  1. It is NOT clear how the rollover (swap) being calculated. For example, I have $10K cash in my account and I want to long $100K GBP.USD. How the interest is calculated daily? Do I get interest paid if I long the higher interest currency.

Thank you for your help.
submitted by bxlai to Forex [link] [comments]

Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)


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Download PDF of this article here: https://docdro.id/6eLgUPo
In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company.
Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound.
In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it!
Stock code: 5199.KL
Stock name: Hibiscus Petroleum Berhad
Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199
Company website: https://www.hibiscuspetroleum.com/

Company Snapshot

Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as:
· looking for oil,
· drawing it out of the ground, and
· selling it on global oil markets.
This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020).
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While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields.
Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices.
At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.

Reserves (Total recoverable oil) & Production (bbl/day)

To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production.
In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below:
As defined by the SPE PRMS, Reserves are “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.)
Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:)
- A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria; - A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development; - Evidence that the necessary production and transportation facilities are available or can be made available; and - Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated.
Contingent Resources and Prospective Resources are further defined as below:
- Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and) - Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes.
In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes:
- Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate; - Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and - High/3C/3P estimate: there is a low probability that the estimate will be exceeded.
Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”.
However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation:
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Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022).
Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl.
In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources.
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The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl).
This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million).
However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus.
To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field.

North Sabah oil field
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Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field.
For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are:
· Average uptime
· Total oil sold
· Average realized oil price
· Average OPEX per bbl
With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields.
Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime.
As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross.
We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl.
Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl.
Thus, we can sum up the above financial performance of the North Sabah field with the following figures:
· Total oil sold: 2,075,305 bbl
· Average realized oil price: USD 68.57/bbl
· Average OPEX per bbl: USD 13.23/bbl

Anasuria oil field
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Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field:
· Total oil sold: 1,073,304 bbl
· Average realized oil price: USD 63.57/bbl
· Average OPEX per bbl: USD 23.22/bbl
As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.

Valuation (Method 1)

Putting the figures from both oil fields together, we get the following data:
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Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x.
Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant:
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From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices.
Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).

Valuation (Method 2)

Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another.
As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it.
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From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet).
Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit:
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Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price.
However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that.
Intangible Assets
I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet.
As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion).
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Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all?
To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs:
E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets.
E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.)
Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment.
On page 169 of the AR20, we find the following:
Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).)
So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate.
Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required.
So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following:
Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116))
Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation?
Fortunately, we find just that on page 185:
17 INTANGIBLE ASSETS (CONTINUED)
(a Anasuria Cluster)
The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.)
The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows:
(i Discount rate of 10%;)
(ii Future cost inflation factor of 2% per annum;)
(iii Oil price forecast based on the oil price forward curve from independent parties; and,)
(iv Oil production profile based on the assessment by independent oil and gas reserve experts.)
Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount.
(b North Sabah)
The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements.
The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year.
Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field.
How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively.
In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:

Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion

Financials

By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis.
For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business.
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Income Statement
First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m.
Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32).
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This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m).
Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later.
Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis.
Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment.
Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense.
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Balance Sheet
The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity.
We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again.
Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations.
Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes.
Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020)
Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m.
Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes.
The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large.
We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m.
Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices.
Cash Flow Statement
There is nothing in the cash flow statement which warrants concern.
Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI.
Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).

Risks

There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are:
· Oil prices remaining subdued for long periods of time
· Fluctuation of exchange rates
· Customer concentration risk
· 2P Reserves being less than estimated
· Significant current and non-current liabilities
· Potential issuance of equity
Oil prices remaining subdued
Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing.
Table 1: Hibiscus EBITDA at different oil price and exchange rates
https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51
The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36.
Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green).
Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing.
Customer Concentration Risk
With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished.
2P Reserves being less than estimated
2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’).
Significant non-current and current liabilities
The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern.
Potential issuance of equity
Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years.
Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out.
However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.

Opportunities

As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below:
· Increased Daily Oil Production Rate
· Inclusion of 2C Resources
· Future oil prices exceeding $50 and effects from coronavirus dissipating
Increased Daily Oil Production Rate
The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production.
The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward.
By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day).
Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day).
This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet.
Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day.
While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations.
Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates:
Table 2: Hibiscus EBITDA at different oil price and daily oil production rates
https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159
The left column represents different oil prices while the top row represents different daily oil production rates.
The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day.
Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above.
2C Resources
Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates.
To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil.
https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a
This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil.
Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20.
For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby.
Future oil prices exceeding $50 and effects from coronavirus dissipating
Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented).
Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years.
When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.

Conclusion

Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
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