Odds of President Trump winning US elections drop after ...

[WTS] British & Swiss Forex, Aussie & Canadian Odds & Ends, Bulk Indian Head Cents

Items
Proof / Pics
Both lots are suitable both as foreign exchange and as a start to a collection, with a large quantity of circulated but problem free coins.
Both the proof-like coins have some small spots but are much lower mintage than the 60s ones you regularly see.
If you would like a smaller quantity, I am willing to break these into lots of 50 for $50 shipped.
Shipping
If shipping is included in the price, it will be shipped either first class or priority based on weight. Tracking will be provided.
If not, You can choose between first class for $4 and risky shipping for $1 on the single coins.
Regardless of the shipping method, once I hand the package over the counter at the post office, it is yours.
Payment
I accept PayPal, F&F preferred but G&S accepted so long as you pay the fees (add $0.30 + 2.9% of the total).
Communication
I prefer traditional reddit PMs and will most likely give those precedence, but I will respond to chat. I respond to messages/chat in the order received.
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Forex Trading – Stack the Odds in Your Favour

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Howard Marks: The Structure Of Market Cycles and How To Get The Odds In Your Favour (2019) (/r/Forex)

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Forex Trading – Stack the Odds in Your Favour

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With All Odds Forex Trading System That Uses a 16 Pips Stop & Can Double Your Account Daily!

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Increase Your Odds With These Tips on Forex Trading Education

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Forex Trading – Stack the Odds in Your Favour

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Forex Trading – Stack the Odds in Your Favour

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With All Odds Forex Trading System That Uses a 16 Pips Stop & Can Double Your Account Daily!

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Increase Your Odds With These Tips on Forex Trading Education

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Increase Your Odds With These Tips on Forex Trading Education

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With All Odds Forex Trading System That Uses a 16 Pips Stop & Can Double Your Account Daily!

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With All Odds Forex Trading System That Uses a 16 Pips Stop & Can Double Your Account Daily!

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Increase Your Odds With These Tips on Forex Trading Education

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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.
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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]

2 years of PTI with the economy

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.
This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.
submitted by moron1ctendenc1es to pakistan [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
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]

How many of you are actually making a profit?

And more importantly how much of a profit?
I think the question above is the most important. It would basically show if you could make a living out of day trading or do it as a side job/money making hobby or stop since the time spent isn't worth the profits.
A few questions from me, someone who spent a while doing several courses and learnt a few things about trading through forex. I make a profit on Forex and have a relatively green account history with a diversified portfolio, but since I am dealing with tiny lots the profit is negligible.
The market is mostly driven my emotion not by math or science. Past prices, trend, support and resistant lines do matter for sure and I say this from experience. But is the probability of them failing low enough for me to go in with bigger lots? Nope.
Throw in a few indicators and some fundamental analysis which makes things very confusing but doable after some practise and you only push that probability slightly lower.
Probability and statistics wins this game and no one can deny it. You may argue a 60/40 win rate is you essentially making money at the end of the day but those odds mean small lots and a hobby more than a job to me.
Charts look cool, the indicators cool, trading on a world stage very cool.
But will my daily profits get me more than a cup of coffee at Starbucks. Nah.
Thoughts from a newbie so hope you can prove me wrong.
submitted by themjcg7 to Daytrading [link] [comments]

3 years, 28 pairs and 310 trades later

This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief.
What is this?
I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it.
What changed?
Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens.
Where can I see your backtested result?
I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system.
What was the sample size?
I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number.
What is the bottom line?
If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended.
Who wins?
The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level.
I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target.
Drawdown management
The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further.
What's next?
I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes.
Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend.
I think I don't have much else to add. I like the strategy. Feel free to ask questions.
submitted by Vanguer to Forex [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]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

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5 Ways To Increase Your Odds Of Trading Success

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