How Much Profits You Should Expect from Trading Forex ...

If I gained an average monthly return of 6% trading forex and reinvested my profits each month, would that be the equivalent of doubling my capital each year?

Gaining 6% is the same as multiplying by 1.06
Gaining 6% (and reinvesting the profits) twelve times a year would then be the same as multiplying by 1.0612 = 2.
Does that mean if I were to achieve 6% a month, I would be able to double by capital each year?
$1000, $2000, $4000, $8000, $16,000, $32,000, $64,000, $128,000, $256,000, $512,000, $Millionaire.
Also, how hard is it to gain a consistent monthly return of 6%? Is 6% a month a realistic goal by scalping every day, placing 5+ trades in a day?
submitted by RapidActionBattalion to Daytrading [link] [comments]

What Is The Average Profit Margin In Forex Trading?

First you should understand what is margin?
A forex margin account is very similar to an equities margin account - the investor is taking a short-term loan from the broker. The loan is equal to the amount of leverage the investor is taking on. Before the investor can place a trade, he or she must first deposit money into the margin account. For more detail visit https://www.vpsforextrader.com/
, we will explain to you how you can use the leverage and how much you can earn?
Newly Enrolled Clients >>
1:1 Leverage = 1% PROFIT = 0.1% RISK If we take 1:1 Leverage means 100% Margin will be used. So, 1000 USD can buy 1,000 USD Value of Commodity. Suppose Price of XYZ Commodity is 1000 USD and you have account balance of 1000 USD then you can buy only 1 Qty. of XYZ = 1000 x 1 = 1000 USD RISK >> If STOP LOSS we keep 0.1% (Price 1000 USD – 0.1% Risk i.e. 1 USD) So your loss will be 1 USD. (1000 USD – 1 USD = 999 USD) RETURN >> If stock price moves from 1000 to 1010 = 1% movement in Price, You used 1:1 Leverage so 100% of your 1000 USD, you get 10 USD as PROFIT
1:10 Leverage = 10% PROFIT = 1% RISK If we take 1:10 Leverage means 10% Margin will be used. So, 1000 USD can buy 10,000 USD Value of Commodity. Suppose Price of XYZ Commodity 1000 USD and you have an account balance of 1000 USD then you can buy 10 Qty. of XYZ = 1000 x 10 = 10000 USD you can use against 1000 USD of capital. RISK >> If STOP LOSS we keep 1% (Price 1000 USD – 0.1% of 10000 USD i.e. 10 USD) So Your LOSS will be 10 USD. 1% of your Capital 1000 USD is 10 USD. (1000 USD – 10 USD = 990 USD)
RETURN >> If stock moves from 1000 to 1010 = 1% movement in Price. You used 1:10 Leverage so 1% of 10,000 USD = 100 USD = 10% Return on Invest Capital 1000 USD
1:200 Leverage = 200% PROFIT = 20% RISK If we take 1:100 Leverage means 200% Margin will be used. So, 1000 USD can buy 200,000 USD value of Commodity. Suppose Price of XYZ Commodity 1000 USD and you have account balance of 1000 USD then NOW you can buy100 Qty. of XYZ Price = 1000 x 200 = 200,000 USD
RISK >> If STOP LOSS we keep 10% (Price 1000 USD- 0.2% of 200,000 USD i.e. 200 USD) So Your LOSS will be 200 USD = 20% loss from your Invested capital (1000 USD – 200 USD = 800 USD)
RETURN >> If Stock moves from 1000 to 1010 = 1% movement in Price. You used 1:200 Leverage so 1% of 200,000 USD = 2000 USD PROFIT
submitted by Rohitpure to u/Rohitpure [link] [comments]

How much work would it take to achieve a 1% profit per day average trading in forex?

I know that it would also depend on the person, but I just want to know from successful traders here, how much effort and time they think the average person needs to put in to attain a 1 percent per day return.
submitted by tellyourmom to Forex [link] [comments]

we reveal profitable Strategies for Forex with Moving Averages, Stochastic, OBV, MACD - http://vjsacademy.com/forex/forex-strategies/

we reveal profitable Strategies for Forex with Moving Averages, Stochastic, OBV, MACD - http://vjsacademy.com/forex/forex-strategies/ submitted by vjsacademyhub to u/vjsacademyhub [link] [comments]

swing trading pdf - 100% profitable swing trading moving average crossover forex trading strategy

swing trading pdf - 100% profitable swing trading moving average crossover forex trading strategy submitted by ForexBinaryStrategy to u/ForexBinaryStrategy [link] [comments]

2 place available in the FOREX STRATEGY COURSE - DISCOUNT PRICE FOR 48 HOURS! Join the DailyProfit Forex Strategy Course or subscribe to the EXPRESS SIGNALS with lifetime subscription! Average 1500 pips - 110% profit - monthly, more than 95% accuracy, 100% with the NO LOSS STRATEGY!

2 place available in the FOREX STRATEGY COURSE - DISCOUNT PRICE FOR 48 HOURS! Join the DailyProfit Forex Strategy Course or subscribe to the EXPRESS SIGNALS with lifetime subscription! Average 1500 pips - 110% profit - monthly, more than 95% accuracy, 100% with the NO LOSS STRATEGY! submitted by DailyProfit4Life to u/DailyProfit4Life [link] [comments]

Become a Forex Guru on eToro and profit from your excellency. Even average results can lead to profits

Become a Forex Guru on eToro and profit from your excellency. Even average results can lead to profits submitted by FX_Winner to Forex [link] [comments]

New to Trading? Here's some tips

So there seems to be a lot of new people on this sub. And makes sense if you have questions a lot of time you'll turn to reddit for the answers (I know I do). Well here are some tips that I think would benefit new traders.
  1. Don't trade ANY Euro pairs. Look I know it's the most traded pair it goes up and down really fast and there's so much potential for you to make money. Turns out there's even more for you to lose money. It's way too volatile specially if you don't know what you're doing. EUUSD is the worst offender.
  2. Trade the Daily. Might think you're cool looking at charts every x amount of times during the day. You get to tell your friends and family that you trade all day and they might be impressed at what you're doing but unless you have some years under you stick to the daily. There's less noise. You can see clearer trends and when you don't stare at the screen all day you're less emotional therefore a more effective trader. I only look at the chart 15 minutes a day to either enter close or manage my trades. Whatever happens when I'm gone is what happens.
  3. There is no holy grail indicator Look for it all you want. It doesn't exist. There are good indicators. There are bad indicators. There are some indicators that are so broken if you do the opposite of what they're intended for you'll actually make a profit. But the fact remains that there's no perfect one. Stop looking. What you should be looking for is an indicator that fits with your strategy.
  4. What currencies to pick. I actually never see this brought up. The notion in forex is that all pairs can be traded equally. To a certain extent that's not false. But until you get the hang of it stick to a strict trading diet. Look for pairs that trend a lot. Duh look for the trend I can hear you say. When I say trend I don't mean a couple of days or weeks. I mean a couple of months. Half a year. Pairs that do that have a higher tendency to stick with one direction for a while. That's where you make your money. An easy way to identify those pairs as well is putting together a volatile currency (USD) with a less volatile one(JPY).
  5. USE YOUR SL Trust me even if not putting a SL has netted you all kinds of gains eventually the market will turn around and bite you. With no safety net you'll lose most if not all your profit. The best offense is a good defense.
  6. How to pick your TP and SL level. Most new traders care so much about that. I put it near the bottom because in my opinion you should know everything listed first. This is my opinion and I use it for my strategy I use the ATR(average true range) indicator. It's a really helpful tool that helps you identify the range at which the candles will either rise or fall. Obviously you want to set your TP inside of that range and your SL slightly outside of it.
  7. Lot sizes. Everyone has a different story about how they pick their lot size. The general consensus is don't risk over 2% of your account. But I'm a simple man and I can't be bothered to figure out what my risk is every single time. So what I do is I put $0.10 for every $100 I have on the account. I then assign $300(minimum) to each pair. That's $0.30 per pair. It's easy to remember. 10 cent for every $100. If you're able to blow $100 with $0.10 then you probably shouldn't trade.
  8. How to avoid reversals. Tbh you can't. There's no way to predict the future so eventually you'll get hit by one. What you can do however is minimize the blow. How I do it is for every pair I take two trades. If you remember in the previous tip is said I do about$0.30 per pair well I divide it 2:1. I take one trade with a TP(2) and one without (1). If my TP is hit I pocket that amount and if the trend keeps going in my direction I make even more. If the trend decides to end or reverses my losses are minimal because at least I kept half.
  9. There is NO right way to trade. Stop listening to people telling the best way to trade is fundamentals or naked charts of to use some specific indicator. There are no right way to do this. It's as flexible and unlimited as your imagination. I personally use indicators but if that's not your thing do YOU! Just remember to manage your trades properly and be level headed when trading. Hell if your trading strategy is flipping a coin with proper trade management you'd probably make some money (don't quote me on that).
  10. Trade money you're willing to lose Don't trade your rent money.
That's all I have for now. If anyone sees this and wants to add more feel free. Hope this helps someone.
submitted by MannyTrade to Forex [link] [comments]

Former investment bank FX trader: some thoughts

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

Why it matters

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

Capital and position sizing

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

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

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

Kelly Criterion

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

How to use stop losses sensibly

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

Picking a clear level

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

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

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

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

Coming up in part II

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

Coming up in part III

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

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

Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading 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 mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

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

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

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

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

submitted by getmrmarket to Forex [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]

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]

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
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]

Forex

Since young i was always into investing. So i just started forex like 4 months ago. I am 20 years old. So i was not profitable. I used to look on youtube for all the startegy using indicators like Macd , ichimoku, alligator, Rsi, Moving average. The best for me i m using recently is Fractals its really good one. And my trades are mostly right now. I dont even check news i only check chart which isnt good i guess . So anybody can help me how to master this fractal indicator.
submitted by Jason_magar_ to Forex [link] [comments]

4 months practice in forex, advices please

Hey guys, i've been practicing my trading on a demo account. Its been 4 months already and I just can't get enough profitable trades. I do my analysis as per price action(candlestick patterns) and also check the economic calendar. I also use some indicators(stochastic and Moving averages) to verify if my potential trades are good. I also check the resistance and support areas. I am not the type of trader who rushes into a trade. I am really dissapointed of how i trade, because it seems like almost everyone i see on the internet is making profit, and of course i see a lot of stopped out trades on my history rather than profitable ones.
-To those who have been in forex longer, please give me advices. I think i really need it - I trade the 4h timeframe and I use pending orders
submitted by leinad2158445 to Forex [link] [comments]

No, the British did not steal $45 trillion from India

This is an updated copy of the version on BadHistory. I plan to update it in accordance with the feedback I got.
I'd like to thank two people who will remain anonymous for helping me greatly with this post (you know who you are)
Three years ago a festschrift for Binay Bhushan Chaudhuri was published by Shubhra Chakrabarti, a history teacher at the University of Delhi and Utsa Patnaik, a Marxist economist who taught at JNU until 2010.
One of the essays in the festschirt by Utsa Patnaik was an attempt to quantify the "drain" undergone by India during British Rule. Her conclusion? Britain robbed India of $45 trillion (or £9.2 trillion) during their 200 or so years of rule. This figure was immensely popular, and got republished in several major news outlets (here, here, here, here (they get the number wrong) and more recently here), got a mention from the Minister of External Affairs & returns 29,100 results on Google. There's also plenty of references to it here on Reddit.
Patnaik is not the first to calculate such a figure. Angus Maddison thought it was £100 million, Simon Digby said £1 billion, Javier Estaban said £40 million see Roy (2019). The huge range of figures should set off some alarm bells.
So how did Patnaik calculate this (shockingly large) figure? Well, even though I don't have access to the festschrift, she conveniently has written an article detailing her methodology here. Let's have a look.
How exactly did the British manage to diddle us and drain our wealth’ ? was the question that Basudev Chatterjee (later editor of a volume in the Towards Freedom project) had posed to me 50 years ago when we were fellow-students abroad.
This is begging the question.
After decades of research I find that using India’s commodity export surplus as the measure and applying an interest rate of 5%, the total drain from 1765 to 1938, compounded up to 2016, comes to £9.2 trillion; since $4.86 exchanged for £1 those days, this sum equals about $45 trillion.
This is completely meaningless. To understand why it's meaningless consider India's annual coconut exports. These are almost certainly a surplus but the surplus in trade is countered by the other country buying the product (indeed, by definition, trade surpluses contribute to the GDP of a nation which hardly plays into intuitive conceptualisations of drain).
Furthermore, Dewey (2019) critiques the 5% interest rate.
She [Patnaik] consistently adopts statistical assumptions (such as compound interest at a rate of 5% per annum over centuries) that exaggerate the magnitude of the drain
Moving on:
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Convenient.
Drain theory possessed the political merit of being easily grasped by a nation of peasants. [...] No other idea could arouse people than the thought that they were being taxed so that others in far off lands might live in comfort. [...] It was, therefore, inevitable that the drain theory became the main staple of nationalist political agitation during the Gandhian era.
- Chandra et al. (1989)
The key factor was Britain’s control over our taxation revenues combined with control over India’s financial gold and forex earnings from its booming commodity export surplus with the world. Simply put, Britain used locally raised rupee tax revenues to pay for its net import of goods, a highly abnormal use of budgetary funds not seen in any sovereign country.
The issue with figures like these is they all make certain methodological assumptions that are impossible to prove. From Roy in Frankema et al. (2019):
the "drain theory" of Indian poverty cannot be tested with evidence, for several reasons. First, it rests on the counterfactual that any money saved on account of factor payments abroad would translate into domestic investment, which can never be proved. Second, it rests on "the primitive notion that all payments to foreigners are "drain"", that is, on the assumption that these payments did not contribute to domestic national income to the equivalent extent (Kumar 1985, 384; see also Chaudhuri 1968). Again, this cannot be tested. [...] Fourth, while British officers serving India did receive salaries that were many times that of the average income in India, a paper using cross-country data shows that colonies with better paid officers were governed better (Jones 2013).
Indeed, drain theory rests on some very weak foundations. This, in of itself, should be enough to dismiss any of the other figures that get thrown out. Nonetheless, I felt it would be a useful exercise to continue exploring Patnaik's take on drain theory.
The East India Company from 1765 onwards allocated every year up to one-third of Indian budgetary revenues net of collection costs, to buy a large volume of goods for direct import into Britain, far in excess of that country’s own needs.
So what's going on here? Well Roy (2019) explains it better:
Colonial India ran an export surplus, which, together with foreign investment, was used to pay for services purchased from Britain. These payments included interest on public debt, salaries, and pensions paid to government offcers who had come from Britain, salaries of managers and engineers, guaranteed profts paid to railway companies, and repatriated business profts. How do we know that any of these payments involved paying too much? The answer is we do not.
So what was really happening is the government was paying its workers for services (as well as guaranteeing profits - to promote investment - something the GoI does today Dalal (2019), and promoting business in India), and those workers were remitting some of that money to Britain. This is hardly a drain (unless, of course, Indian diaspora around the world today are "draining" it). In some cases, the remittances would take the form of goods (as described) see Chaudhuri (1983):
It is obvious that these debit items were financed through the export surplus on merchandise account, and later, when railway construction started on a large scale in India, through capital import. Until 1833 the East India Company followed a cumbersome method in remitting the annual home charges. This was to purchase export commodities in India out of revenue, which were then shipped to London and the proceeds from their sale handed over to the home treasury.
While Roy's earlier point argues better paid officers governed better, it is honestly impossible to say what part of the repatriated export surplus was a drain, and what was not. However calling all of it a drain is definitely misguided.
It's worth noting that Patnaik seems to make no attempt to quantify the benefits of the Raj either, Dewey (2019)'s 2nd criticism:
she [Patnaik] consistently ignores research that would tend to cut the economic impact of the drain down to size, such as the work on the sources of investment during the industrial revolution (which shows that industrialisation was financed by the ploughed-back profits of industrialists) or the costs of empire school (which stresses the high price of imperial defence)

Since tropical goods were highly prized in other cold temperate countries which could never produce them, in effect these free goods represented international purchasing power for Britain which kept a part for its own use and re-exported the balance to other countries in Europe and North America against import of food grains, iron and other goods in which it was deficient.
Re-exports necessarily adds value to goods when the goods are processed and when the goods are transported. The country with the largest navy at the time would presumably be in very good stead to do the latter.
The British historians Phyllis Deane and WA Cole presented an incorrect estimate of Britain’s 18th-19th century trade volume, by leaving out re-exports completely. I found that by 1800 Britain’s total trade was 62% higher than their estimate, on applying the correct definition of trade including re-exports, that is used by the United Nations and by all other international organisations.
While interesting, and certainly expected for such an old book, re-exporting necessarily adds value to goods.
When the Crown took over from the Company, from 1861 a clever system was developed under which all of India’s financial gold and forex earnings from its fast-rising commodity export surplus with the world, was intercepted and appropriated by Britain. As before up to a third of India’s rising budgetary revenues was not spent domestically but was set aside as ‘expenditure abroad’.
So, what does this mean? Britain appropriated all of India's earnings, and then spent a third of it aboard? Not exactly. She is describing home charges see Roy (2019) again:
Some of the expenditures on defense and administration were made in sterling and went out of the country. This payment by the government was known as the Home Charges. For example, interest payment on loans raised to finance construction of railways and irrigation works, pensions paid to retired officers, and purchase of stores, were payments in sterling. [...] almost all money that the government paid abroad corresponded to the purchase of a service from abroad. [...] The balance of payments system that emerged after 1800 was based on standard business principles. India bought something and paid for it. State revenues were used to pay for wages of people hired abroad, pay for interest on loans raised abroad, and repatriation of profits on foreign investments coming into India. These were legitimate market transactions.
Indeed, if paying for what you buy is drain, then several billions of us are drained every day.
The Secretary of State for India in Council, based in London, invited foreign importers to deposit with him the payment (in gold, sterling and their own currencies) for their net imports from India, and these gold and forex payments disappeared into the yawning maw of the SoS’s account in the Bank of England.
It should be noted that India having two heads was beneficial, and encouraged investment per Roy (2019):
The fact that the India Office in London managed a part of the monetary system made India creditworthy, stabilized its currency, and encouraged foreign savers to put money into railways and private enterprise in India. Current research on the history of public debt shows that stable and large colonies found it easier to borrow abroad than independent economies because the investors trusted the guarantee of the colonist powers.

Against India’s net foreign earnings he issued bills, termed Council bills (CBs), to an equivalent rupee value. The rate (between gold-linked sterling and silver rupee) at which the bills were issued, was carefully adjusted to the last farthing, so that foreigners would never find it more profitable to ship financial gold as payment directly to Indians, compared to using the CB route. Foreign importers then sent the CBs by post or by telegraph to the export houses in India, that via the exchange banks were paid out of the budgeted provision of sums under ‘expenditure abroad’, and the exporters in turn paid the producers (peasants and artisans) from whom they sourced the goods.
Sunderland (2013) argues CBs had two main roles (and neither were part of a grand plot to keep gold out of India):
Council bills had two roles. They firstly promoted trade by handing the IO some control of the rate of exchange and allowing the exchange banks to remit funds to India and to hedge currency transaction risks. They also enabled the Indian government to transfer cash to England for the payment of its UK commitments.

The United Nations (1962) historical data for 1900 to 1960, show that for three decades up to 1928 (and very likely earlier too) India posted the second highest merchandise export surplus in the world, with USA in the first position. Not only were Indians deprived of every bit of the enormous international purchasing power they had earned over 175 years, even its rupee equivalent was not issued to them since not even the colonial government was credited with any part of India’s net gold and forex earnings against which it could issue rupees. The sleight-of-hand employed, namely ‘paying’ producers out of their own taxes, made India’s export surplus unrequited and constituted a tax-financed drain to the metropolis, as had been correctly pointed out by those highly insightful classical writers, Dadabhai Naoroji and RCDutt.
It doesn't appear that others appreciate their insight Roy (2019):
K. N. Chaudhuri rightly calls such practice ‘confused’ economics ‘coloured by political feelings’.

Surplus budgets to effect such heavy tax-financed transfers had a severe employment–reducing and income-deflating effect: mass consumption was squeezed in order to release export goods. Per capita annual foodgrains absorption in British India declined from 210 kg. during the period 1904-09, to 157 kg. during 1937-41, and to only 137 kg by 1946.
Dewey (1978) points out reliability issues with Indian agriculutural statistics, however this calorie decline persists to this day. Some of it is attributed to less food being consumed at home Smith (2015), a lower infectious disease burden Duh & Spears (2016) and diversified diets Vankatesh et al. (2016).
If even a part of its enormous foreign earnings had been credited to it and not entirely siphoned off, India could have imported modern technology to build up an industrial structure as Japan was doing.
This is, unfortunately, impossible to prove. Had the British not arrived in India, there is no clear indication that India would've united (this is arguably more plausible than the given counterfactual1). Had the British not arrived in India, there is no clear indication India would not have been nuked in WW2, much like Japan. Had the British not arrived in India, there is no clear indication India would not have been invaded by lizard people, much like Japan. The list continues eternally.
Nevertheless, I will charitably examine the given counterfactual anyway. Did pre-colonial India have industrial potential? The answer is a resounding no.
From Gupta (1980):
This article starts from the premise that while economic categories - the extent of commodity production, wage labour, monetarisation of the economy, etc - should be the basis for any analysis of the production relations of pre-British India, it is the nature of class struggles arising out of particular class alignments that finally gives the decisive twist to social change. Arguing on this premise, and analysing the available evidence, this article concludes that there was little potential for industrial revolution before the British arrived in India because, whatever might have been the character of economic categories of that period, the class relations had not sufficiently matured to develop productive forces and the required class struggle for a 'revolution' to take place.
A view echoed in Raychaudhuri (1983):
Yet all of this did not amount to an economic situation comparable to that of western Europe on the eve of the industrial revolution. Her technology - in agriculture as well as manufacturers - had by and large been stagnant for centuries. [...] The weakness of the Indian economy in the mid-eighteenth century, as compared to pre-industrial Europe was not simply a matter of technology and commercial and industrial organization. No scientific or geographical revolution formed part of the eighteenth-century Indian's historical experience. [...] Spontaneous movement towards industrialisation is unlikely in such a situation.
So now we've established India did not have industrial potential, was India similar to Japan just before the Meiji era? The answer, yet again, unsurprisingly, is no. Japan's economic situation was not comparable to India's, which allowed for Japan to finance its revolution. From Yasuba (1986):
All in all, the Japanese standard of living may not have been much below the English standard of living before industrialization, and both of them may have been considerably higher than the Indian standard of living. We can no longer say that Japan started from a pathetically low economic level and achieved a rapid or even "miraculous" economic growth. Japan's per capita income was almost as high as in Western Europe before industrialization, and it was possible for Japan to produce surplus in the Meiji Period to finance private and public capital formation.
The circumstances that led to Meiji Japan were extremely unique. See Tomlinson (1985):
Most modern comparisons between India and Japan, written by either Indianists or Japanese specialists, stress instead that industrial growth in Meiji Japan was the product of unique features that were not reproducible elsewhere. [...] it is undoubtably true that Japan's progress to industrialization has been unique and unrepeatable
So there you have it. Unsubstantiated statistical assumptions, calling any number you can a drain & assuming a counterfactual for no good reason gets you this $45 trillion number. Hopefully that's enough to bury it in the ground.
1. Several authors have affirmed that Indian identity is a colonial artefact. For example see Rajan 1969:
Perhaps the single greatest and most enduring impact of British rule over India is that it created an Indian nation, in the modern political sense. After centuries of rule by different dynasties overparts of the Indian sub-continent, and after about 100 years of British rule, Indians ceased to be merely Bengalis, Maharashtrians,or Tamils, linguistically and culturally.
or see Bryant 2000:
But then, it would be anachronistic to condemn eighteenth-century Indians, who served the British, as collaborators, when the notion of 'democratic' nationalism or of an Indian 'nation' did not then exist. [...] Indians who fought for them, differed from the Europeans in having a primary attachment to a non-belligerent religion, family and local chief, which was stronger than any identity they might have with a more remote prince or 'nation'.

Bibliography

Chakrabarti, Shubra & Patnaik, Utsa (2018). Agrarian and other histories: Essays for Binay Bhushan Chaudhuri. Colombia University Press
Hickel, Jason (2018). How the British stole $45 trillion from India. The Guardian
Bhuyan, Aroonim & Sharma, Krishan (2019). The Great Loot: How the British stole $45 trillion from India. Indiapost
Monbiot, George (2020). English Landowners have stolen our rights. It is time to reclaim them. The Guardian
Tsjeng, Zing (2020). How Britain Stole $45 trillion from India with trains | Empires of Dirt. Vice
Chaudhury, Dipanjan (2019). British looted $45 trillion from India in today’s value: Jaishankar. The Economic Times
Roy, Tirthankar (2019). How British rule changed India's economy: The Paradox of the Raj. Palgrave Macmillan
Patnaik, Utsa (2018). How the British impoverished India. Hindustan Times
Tuovila, Alicia (2019). Expenditure method. Investopedia
Dewey, Clive (2019). Changing the guard: The dissolution of the nationalist–Marxist orthodoxy in the agrarian and agricultural history of India. The Indian Economic & Social History Review
Chandra, Bipan et al. (1989). India's Struggle for Independence, 1857-1947. Penguin Books
Frankema, Ewout & Booth, Anne (2019). Fiscal Capacity and the Colonial State in Asia and Africa, c. 1850-1960. Cambridge University Press
Dalal, Sucheta (2019). IL&FS Controversy: Centre is Paying Up on Sovereign Guarantees to ADB, KfW for Group's Loan. TheWire
Chaudhuri, K.N. (1983). X - Foreign Trade and Balance of Payments (1757–1947). Cambridge University Press
Sunderland, David (2013). Financing the Raj: The City of London and Colonial India, 1858-1940. Boydell Press
Dewey, Clive (1978). Patwari and Chaukidar: Subordinate officials and the reliability of India’s agricultural statistics. Athlone Press
Smith, Lisa (2015). The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth. Food Policy
Duh, Josephine & Spears, Dean (2016). Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle. The Economic Journal
Vankatesh, P. et al. (2016). Relationship between Food Production and Consumption Diversity in India – Empirical Evidences from Cross Section Analysis. Agricultural Economics Research Review
Gupta, Shaibal (1980). Potential of Industrial Revolution in Pre-British India. Economic and Political Weekly
Raychaudhuri, Tapan (1983). I - The mid-eighteenth-century background. Cambridge University Press
Yasuba, Yasukichi (1986). Standard of Living in Japan Before Industrialization: From what Level did Japan Begin? A Comment. The Journal of Economic History
Tomblinson, B.R. (1985). Writing History Sideways: Lessons for Indian Economic Historians from Meiji Japan. Cambridge University Press
Rajan, M.S. (1969). The Impact of British Rule in India. Journal of Contemporary History
Bryant, G.J. (2000). Indigenous Mercenaries in the Service of European Imperialists: The Case of the Sepoys in the Early British Indian Army, 1750-1800. War in History
submitted by GaslightEveryone to u/GaslightEveryone [link] [comments]

50 SMA Forex Strategy - EASY MONEY 💰😎💰 - YouTube 95% Winning Forex Trading Formula - Beat The Market Maker📈 Forex: 20 Period Moving Average SECRETS (STEAL MY 20 ... Best Moving Average Trading Strategy (MUST KNOW) - YouTube SIMPLE and PROFITABLE Forex Scalping Strategy! - YouTube

For the majority of professional traders, the average Forex monthly return is between 1 to 10 per cent per month. Remember: you won't get anywhere near a return on your investment if you don't put sufficient efforts into educating yourself and learning how to utilise the different types of analytical and high quality trading tools that ... 138# Forex Profit Strategy; 139# Trendlines Forex System; 140# Three exponential moving averages trading system; 141# FX Mantra; 142# Trading in Trending with Retracement Trading System Daily; 143# MultiTimeFrame Trading System with SMA and Bollinger Bands; 144# Profitable Forex Trend System; 145# Three exponential moving averages with MACD My average over last year was pretty good, but this year is already looking better (12-15% per month last year - aiming to double that this year with some big tech tweaks). I personally do the opposite to yourself Card, I literally pull all funds I can muster into trading accounts as the return for me has outweighed the banks' paltry offerings ... You have made 10 trades. 6 were winning trades and 4 were losing trades. That means your percentage win ratio is 6/10 or 60%. If your six trades brought you a profit of $3,000, then your average win is $3,000/6 = $500. If your losses were only $1,600, then your average loss is $1,600/4 = $400. Next, apply these figures to the expectancy formula: Forex traders can see substantial benefits from capital gains in the form of a small pip profit over time, but with considerable leverage, a single pip can result in a hefty return.

[index] [3666] [19764] [3422] [38319] [21559] [16573] [47117] [50153] [36307] [47267]

50 SMA Forex Strategy - EASY MONEY 💰😎💰 - YouTube

Learn our Other Scalping Strategy: https://bit.ly/2xol8aS In this video, I will walk you through a simple forex scalping strategy I've been using successfull... 20EMAstrategy: https://thetradingchannel.org/optin-20ema-strategy EAP Training Program - https://goo.gl/7RrMM5 Pro Trader Report - https://protraderreport.co... F4N 016 Amazing Profit hunter FOREX Strategy System With Moving Average, Volume and Stochastic. My secret Forex strategy system, F4N secret series F4N 017 sh... If you learn this one Forex pattern, you will be better off than 90% of all other traders your competing against. This simple strategy is the difference betw... CONTACT: EMAIL: [email protected] WEBSITE: www.teamtakeprofits.net FACEBOOK: Jay Wayne INSTAGRAM: JayTakeProfits MARTIN METER INDCATOR https://sellfy....

http://forex-turck.forex-forum.info