|submitted by Red-its to forextweet [link] [comments]|
submitted by Red-its to forextweet [link] [comments]
submitted by Red-its to forextweet [link] [comments]
Welcome to the third and final part of this chapter.submitted by getmrmarket to Forex [link] [comments]
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.
Squeezes and other risksWe are going to cover three common risks that traders face: events; squeezes, asymmetric bets.
EventsEconomic 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.
SqueezesShort 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.
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 lossesAlso 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 positioningWe 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 correlationRetail 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?
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 limitsOne 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 managementThanks 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
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.
Hi guys,submitted by getmrmarket to Forex [link] [comments]
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
Why it mattersThe 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 sizingThe 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".
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:
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 CriterionIf 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 to use stop losses sensiblyStop 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 levelWhere 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.
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.
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:
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 IIEDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Coming up in part IIISqueezes and other risks
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.
Thanks for all the upvotes and comments on the previous pieces:submitted by getmrmarket to Forex [link] [comments]
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.
Preparing for quantitative and qualitative releasesThe 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.
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 indexThe 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 reactionsThe 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.
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 factA 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 positionsOne 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 reversalsFairly 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 reversalsSometimes 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.
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 releasesAs 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 decisionsThese 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 payrollsThese 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:
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.
SurveysThere 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.
GDPGross 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.
InflationCountries 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 dataThings 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.
CommentsOften 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.
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.submitted by dlkdev to wallstreetbets [link] [comments]
“Reeee can’t read, strike?” - random_wsb_autistBitch you better read if you want your Robinhood to look like this:
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.
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.
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:
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_autistSit 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:
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?"
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.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:
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? "Good job, fuckfaces. Y'all bought this one too, admit it. I see you buying on this chart:
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.
"Hurr durr you said it's going to 0, so you're retarded because it didn't go to 0" - random_wsb_autistYeah, 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.
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.
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
"hurr durr, it went lower on 3/18 so 3/17 wasn't the bottom" - random_wsb_autistIdiot, 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:
Initial TQQQ 5/22 position = $5,000. Starts losing? You pound it.
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?" - cscqb4Wrong fuckface. You see the max pain at SPX 2975 & OPEX pin coming? Sell them some calls or puts (or spreads).
Sold 9x5/20 SPX [email protected], bam +$6,390. Still wanna pin? Well have some 80x5/22 TQQQ $80cs, bam anotha +$14,700.
+$21,090 - $10,824 = +$10,266 => Turned that shit into a +94.85% gain.
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.
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?
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.
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:
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.
Nobody could have seen it coming, right? WRONG AGAIN. Here:
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.
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.
But it wasn’t just forex. Gold showed it to you as well. Bonds showed it to you as well.
Even god damn buttcoin showed it to you.
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.
And just like that fucker, “I’m standing in front of a burning house, and I’m offering you fire insurance on it.”
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?
Good luck. Dr. Retard TQQQ Burry out.
Day Trading Market Ceiling There also a Day Trading Market Ceiling. A successful day trader (not an investor, though) will eventually get capped out, as the market simply can’t accommodate an infinitely increasing position size for a particular strategy. To make more the trader either needs to alter the strategy, or also trade something else…and this may or may not work. Change one thing and you can’t assume all else will stay the same. To attain the returns discussed in the “How Much Day Traders Make,” multiple trades are made each day. Trades are likely only lasting a couple minutes. While multiple-millions of dollars worth of stocks, futures or currencies may change hands over the course of couple hours, day traders have precise entry points. Therefore, position size is limited to the amount of liquidity (volume) available at the exact moment a trader needs to get into and out of trades. Investors, hedge funds and mutual funds can accumulate or dispose of positions over weeks, taking advantage of days or even weeks worth liquidity. Day traders don’t have that luxury. It doesn’t matter if a stock trades millions of shares a day; if there is only 100 shares available when they need to take the trade (based on the strategy) that’s all they get. That’s an extreme example, but at any given moment there isn’t infinite liquidity available–there is what there is, and that means there is a limit to how big of a position you can accumulate and dispose of when your strategy calls for it. Based on personal experience, in day trading forex I wouldn’t be comfortable taking more than 5 standard lots on a day trade. Some may take more, most traders would take way less. Taking a larger amount would mean significantly increased risk of slippage or partial fills (you end up with the whole position on losing trades, but only partial positions on some winning trades). Possible gains attained by taking a larger position are offset by these negative factors. At 10:1 or 15:1 leverage a forex day trader–using a day trading forex strategy similar to mine— may cap out at around a $50,000 to $75,000 account (including leverage, that means trading close to $1million). Beyond that, they may find little additional gains, unless they alter their strategy, take longer term trades or stagger their entries and exits at various prices. Changing a strategy to accommodate a larger position isn’t a bad thing, but it takes additional research/practice time…and is it worth it? Only each individual can answer that for them self. In the ES futures market I cap out at about 10 contracts, and that only requires a $40,000 to $75,000 account (maybe even less depending on how much you risk per trade). There is no reason to trade more in my opinion. Could you day trade more contracts? Sure, you could probably get away with 100 contracts some days/some trades…but why? It would take a long time to work up to carrying those sorts of positions, and even trading a few contracts can produce a good living. The same goes for the stock market. Even in a very liquid stock or ETF like the SPDR S&P 500 (SPY) you will hit a limit on how much you can effectively trade on a short time frame. It may be a big limit, but you do hit it. To see the minimum amount of capital you need to day trade, see How Much Do I Need to Become a Day Trader. The bottom line is that you hit a limit on the amount of capital you can utilize effectively, and beyond that your percentage returns will likely decrease. For example, it’s much easier to make 10% a month on a $20,000 account than it is to make 10% a month on $20,000,000. That means day trader tend to withdraw all proceeds over and above their “efficient capital limit.” So a $50,000 day trading forex accounts stays a $50,000 account and monthly profits are withdrawn and spent (like any other job) or allocated to something else. In other words the account doesn’t keep compounding indefinitely, the trader nor the market can withstand doing that…there are ceilings…psychological, natural (life) and structural (market).Source: https://vantagepointtrading.com/why-day-traders-can-make-big-returns-but-arent-millionaires/
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).
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 drainMoving 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.
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,
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 unrepeatableSo 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.
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'.
In Forex trading, hedging works on the principle of a trader buying and selling a currency (or multiple currencies) at a single entry price or two different strike prices to ensure that he is protected even if the market swings violently in either direction. A forex hedge is a transaction implemented to protect an existing or anticipated position from an unwanted move in exchange rates. Forex hedges are used by a broad range of market participants ... Hedging in FX. If you want to know about a practical example of hedging, then we should mention how traders enter into a Forex hedge. There is a short scenario: traders enter a particular trade to protect either already existing or expected positions from an adverse price movements in exchange rates of a certain currencies. A forex hedging robot is designed around the idea of hedging, which is based on opening many additional positions and buying and selling at the same time combined with trend analysis. This is all done in order to protect yourself against sudden and unexpected market movements. Hedging with forex is a strategy used to protect one's position in a currency pair from an adverse move. It is typically a form of short-term protection when a trader is concerned about news or an ...
[index]          
Option "Hedging" Strategies With Examples In Indian Stock Market. ... 9:11. Best FX Trading Strategies (THE Top Strategy for Forex Trading) - Duration: 32:00. No Nonsense Forex 1,588,954 ... From this vdo i am going to show you about Hedging and netting in forex trading.. So keep watching, like and share.. Vdo Topics 1/ What is hedging and nettin... In this video i am teaching you about the best forex Hedging Strategy, if you follow it you will always end up in profits. join me at :) https://fast.bearsha... WATCH: NO LOSS Forex hedging strategy - Explained how to hedge your trades - #forextradingstrategies. PEOPLE KEEP ASKING IN THE COMMENTS, HERE IS MY PRIMARY ... What is Benefits and Losses of Hedging in Forex Trading. Tani Forex describe Definition And Meaning Of Forex Hedging and give many Examples in Hindi And Urdu...