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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
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.
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:
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.
Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
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.
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
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.
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.
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 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.
6 Price Action Retracement Entry Types You Need To Know
You've presumably heard "retracement" or "follow" much of the time in case you're keen on exchanging the monetary business sectors. Be that as it may, do you really understand what value retracements are, the reason they're so significant and how to appropriately exploit them? Maybe not, yet regardless of whether you do, the present exercise will reveal new insight into how to use these incredibly amazing business sector occasions… A retracement in a market is a pretty simple idea to characterize and comprehend. Basically, it's actually what it seems like: a period when cost remembers back on an ongoing move, either up or down. Consider "remembering your means"; returning a similar way you came. It's fundamentally an inversion of an ongoing value move. For what reason are retracements significant? For various reasons: They are occasions to enter the market at a "superior value", they take into account ideal stop misfortune arrangement, improved danger prize and then some. A remember passage is more traditionalist than a "market section" for instance and is viewed as a "more secure" passage type. Eventually, the objective of a dealer is get the best passage cost and oversee hazard on a par with conceivable while additionally expanding restores; the retracement section is a device that permits you to do every one of the three of these things. This exercise will cover all parts of exchanging retracements and will assist you with understanding them better and put them to use to ideally improve your general exchanging execution. Presently, how about we examine a portion of the Pros and Cons of retracement exchanging before we take a gander at some model graphs… Professionals of Retracement Trading We should discuss a portion of the many "Geniuses" of retracement exchanging. Frankly, retracement exchanging is fundamentally how you exchange like an expert rifleman, which, on the off chance that you've followed me for any timeframe, you know is my favored strategy for exchanging. Higher Probability Entries – The very idea of a draw back or backtrack implies that cost is probably going to keep moving toward the underlying move when the follow closes. Henceforth, on the off chance that you see a solid value activity signal at a level after a retracement, it's high-likelihood passage since all signs are highlighting value bobbing starting there. Presently, it doesn't generally occur, however hanging tight for a remember to a level with a sign, is the most elevated likelihood way you can exchange. Markets pivot back to the "signify" or "normal" cost again and again; this is clear by taking a gander at any value outline for a couple of moments. Along these lines, when you see this revolution or backtrack occur, begin searching for a section point there in light of the fact that it's a lot higher-likelihood passage point than just entering "at market" like most brokers do. Less Premature Stop-Outs – A retracement permits greater adaptability with stop misfortune arrangement. Essentially, in that you can put the prevent further away from any territory on the diagram that is probably going to be hit (if the exchange you're taking is to exercise by any stretch of the imagination). Setting prevents further away from key levels or moving midpoints or further away from a pin bar high or low for instance, gives the exchange a higher possibility of working out. Visit توقعات الذهب اليوم Better Risk Rewards – Retracement passages hypothetically permit you to put a "more tight" stop misfortune on an exchange since you're entering more like a key level or you're entering at a pin bar half level on an exchange section stunt passage for instance. In this way, should you decide to do as such, you can put a stop a lot nearer than if you entered an exchange that didn't occur after a follow or on the off chance that you entered a pin bar exchange at the high or low of the pin, for instance. Model: a 100 pip stop and 200 pip target can undoubtedly turn into a 50 pip stop and 250 pip focus on a follow passage. Note: you don't have to put a more tight stop, it's discretionary, however the choice IS There on a backtrack section in the event that you need it. The other option, utilizing a standard width stop has the benefit of diminishing the odds of an untimely stop out. A danger prize can likewise be somewhat expanded regardless of whether you utilize a standard stop misfortune, rather than a "more tight one". Model: a 100 pip stop and a 200 pip target can without much of a stretch become a 100 pip stop and a 250 pip target. Why? This is on the grounds that a remember passage lets you enter the market when it has "more space" to run toward you, because of the way that cost has pulled back and it consequently has more separation to move before it follows again when contrasted with in the event that you entered at a "more awful cost" further up or down. Cons of Retracement Trading Obviously I will be straightforward with you and told you a portion of the "cons" of retracement exchanging, there are a not many that you ought to know about. Notwithstanding, this doesn't mean you shouldn't attempt to learn retracement exchanging and add it to your exchanging "tool stash", in light of the fact that the geniuses FAR exceed the cons. More Missed Trades: Good exchanges will "move away" now and then when hanging tight for a retracement that doesn't occur, for instance. This can test your nerves and exchanging attitude and will bother even the best dealers. In any case, trust me, passing up exchanges isn't the most exceedingly terrible thing on the planet and it's smarter to pass up certain exchanges than to over-exchange, that is without a doubt. Less Trades in General – A great deal of the time, advertises just don't remember enough to trigger the more moderate passage that returns with a force. All things being equal, they may simply prop up with insignificant retracements. This implies you will have less opportunities to exchange by and large when contrasted with somebody who isn't essentially hanging tight for follows. Because of the over two focuses, retracement exchanging can be disappointing and takes unimaginable order. In any case, in the event that you build up this order you'll be WELL in front of the majority of losing dealers thus retracement exchanging can assist you with building up the control you should need to prevail at exchanging regardless of what passage technique you wind up utilizing. Retracements Provide Flexibility in Stop Loss Placements Setting your stop misfortune at some unacceptable point can get you taken out of an exchange rashly, that you in any case were spot on. By figuring out how to sit tight for market pull backs or retracements, you won't just enter the market at a higher-likelihood point, however you'll likewise have the option to put your stop misfortune at a lot more secure point on the diagram. Regularly, dealers get debilitate in light of the fact that they get halted out of an exchange that actually they were spot on. Putting a stop misfortune at some unacceptable point on a diagram can get you removed from an exchange before the market truly gets an opportunity to get moving toward you. A retracement presents a clever answer for this issue by permitting you to put a more secure and more extensive stop misfortune on an exchange, giving you a superior possibility at bringing in cash on that exchange. At the point when a market follows or pulls back, particularly inside a moving business sector, it is giving you an occasion to put your stop misfortune at a point on the outline that is significantly more averse to take you out of an exchange. Since most remembers occur into help or opposition levels, you can put the stop misfortune further past that level (more secure) which is fundamentally less inclined to be hit than if it was nearer to the level. Utilizing what I call a "standard" stop misfortune (not a tight one) in this case will give you the most obvious opportunity at keeping away from an untimely take out of an exchange.
The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/ PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/ Edit: By popular demand, the too long didn't read is now at the top TL;DR SPY 220p 11/20 This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon. The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Some important terms to keep in mind: § Discrete – terminal points at the extremes of ranges § Secondary Discrete – quantified retracement or correction between two discrete § Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things. § Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached. § VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX. As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
Trend Definition Analysis
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out. Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours. Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19 Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12 Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31 Monthly Lows:3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1 Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31 Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.* We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram. 7/3/20, 7/27/20, and 11/3/20, 11/27/20 . How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20. The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking. Therefore, our timeline looks like:
11/14/20 - yearly low (selected from histogram averages, 11/15/20, and the 8.6 Year Confidence model)
7/28/21 - End of bear market (18 month average of 8/9, averaged with histogram date of 7/15)
4/14/22 - lesser correction.
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons. I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later. The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
Heyo folks! Want to get off the COVID-19 news cycle? Hop onto the Parachute express. Here’s your week at Parachute + partners (20 Mar - 26 Mar'20): Doc Vic hosted a CoD Mobile Battle Royale in the Parachute War Zone while Alejandro hosted a gun mode flash game followed by a free for all flash game. The PAR4PAR raffle continues too. Get on in the action to win some cool $PAR just for HODLing. Afful held a trivia in TTR for 1k $PAR in prizes per question. While Gamerboy’s history trivia in tiproom was a ton of fun, Charlotte’s math quiz bamboozled everyone. Foo held a blink-and-you-miss Parena this week. Gian’s Two-for-Tuesday was a welcome respite in these testing times with Parachuters invited to post music from their home countries. Sebastian, like always, was a Godsend for setting up a playlist of all the posts. For #wholesomewed, Parachuters looked for "the most ridiculous item for sale of Amazon". Haha! The wackiest #wholesomewed entries from Streamr, Franklin and Christian (L-R) Click here to watch this week’s aXpire update video. For the weekly token burn, 20k $AXPR was sent to the Ethereum Genesis Address. 2gether has observed a 236% rise in crypto purchases during the COVID-19 crisis period. Results of these findings were published on Cointelegraph as well as shared in a video by YouTuber Tiziano Tridico. Bounty0x Telegram community members were in for a treat this week. The project partnered with Unstoppable Domains to offer a free .crypto domain to everybody who followed the instructions here. Switch published their latest product update this week. Click here to read about Fantom’s views on regulations and expansion plans in Korea. The latest technical update was published as well. Following the project’s partnership with Band Protocol which was announced last week, the two teams got together for an AMA this week. Plus, congrats on reaching 1Bn staked $FTM! A brand new API was released so that it could keep up with the chain followed by the release of its chain explorer – Fantom Vision. Uptrennd founder Jeff Kirdeikis hosted a community AMA to take feedback on how to improve the platform. Jeff also wrote about the markets and how they have affected Uptrennd amidst the COVID-19 situation. And congrats on the merch shop. Get your Uptrennd gear, folks! Digibyte won the public vote which started last week to select a project for a free free review + marketing package from Uptrennd. The report will be published next week. Entries for the Article of the Month contest ended this week with a public vote to adjudge the best. CyberFM suspended all On-Air advertising this week to be replaced by public service announcements and free advertising for small local businesses. That is a big jump indeed Harmony’s #pow thread is a detailed summry of the individual-level work of all team members over the last week. The weekly video digest can be seen here. The crew also conducted a meetup over Zoom this week. Validators, delegators and stakers have their own chat room now as well. The winners of the $ONE trading competition on ViteX started few weeks back were announced this week. Privacy protocol Suterusu partnered with Harmony to add new privacy features to the $ONE blockchain. $ONE got listed on SimpleSwap. Mainnet swap was completed on HitBTC. Did you know it would less than a minute to recover your node after a network hard reset? Check out this video to see for yourself. Plus, a demo of how cheap a transaction can be showed you could do almost a thousand transactions with 1 $ONE. The project also joined hands with several other blockchain companies to contribute computing power for COVID-19 research through BOINC Network. Intellishare announced a deadline (24 Apr’20) with withdraw all funds from their website to prepare for an upgrade. GET Protocol CEO Maarten Bloemers wrote penned his thoughts on the present COVID-19 crisis and how the platform is coping with it. Despite the lockdown, the team’s “spirits” continue to remain high. Get it, get it? Haha. As the Q1 2020 burn report gets close, the community got together to guess the burn amount to win some cool $GET tokens. THE $COTI top management were invited by Cardano this week to talk about payment networks. Following the claim reward option released last week, the unstake option was also made available to stakers on the mainnet wallet starting this week. A new upgrade was made to the transaction distribution algorithm to ensure fair chance to all participating nodes in the network. For the latest project status report, click here. Plus, congratulations on the new funding round. $ETH HODLers, you might want to check your wallets. DoYourTip airdropped 20 $DYT tokens to each wallet that held some ParJar supported tokens this week. New unstake option in the COTI mainnet wallet This week’s District0x Dapp Digest had former professional basketball player and founder of DAOhub Auryn Macmillan as an interviewee. The District Weekly covers the last 7 days in the District0xverse. Hydrogen announced an integration with KYC provider Trulioo this week. The project was also mentioned in a Forbes article listing fintechs that were offering free technology in the COVID-19 crisis. Thinking of building a fintech app? The crew explained what it takes to make one in their latest blog post. Crypto chartist Stacking USD announced a partnership with Sentivate where he will be creating curated $SNTVT-focused content. Still haven’t seen Sentivate’s social site? Check out the FAQs to learn more. BitForex partnered with Mycro to have their latest campaign on the Mycro Hunter App. SelfKey joined Blockfolio Signal this week. This allows them to share project updates as notifications with Blockfolio users. How could COVID-19 affect your data security? Read all about it in SelfKey’s latest blog post. Plus, tips for WFH (Work From Home) during the lockdown. WhiteBIT was added to the exchange marketplace this week. The team also answered some FAQs on the $KEY token and tokenomics. Additionally, the team wrote about how China’s Social Credit System would mean for the digital identity ecosystem. KuCoin announced support for Constellation’s $DAG mainnet swap. CEO Ben Jorgensen also shared some updates on the swap and onboarding node operators. Owing to the COVID-19 lockdowns, Wibson crew attended this week’s Ethereum Buenos Aires meetup on Zoom. And with that, it’s a close for this week at Parachute! See you again with another update. Bye for now!
Immediate Aftermath : The more data we collect and analyze, the clearer the picture becomes.
This is the updated first part of the list that has recorded the notable events as the world deals with the COVID-19 pandemic. [2nd Part] ― The LINKS to events and sources are placed throughout the timeline. ------------------------ The More Data We Collect and Analyze, the Clearer the Picture Becomes. Someone threw a stone in a pond a long way away. And we're only just feeling the ripples. — Fukuhara from Giri/Haji, Netflix series ------------------------ On Jan 30, Italian PM announced that Italy had blocked all flights to and from China. While Italy has banned people from air-travelling to China, however according to IATA data, there's no measurement implemented for air-travellers from China into Italy till the Mar 07. Especially for Chinese people who have EU passports. On Jan 31, the US announced the category-I travel restrictions, barring all foreigners who have been in China for the past 14 days, with measures including the refusal of visas and mandatory quarantine. • "Because the US focused on China and didn't expect the infected people's entry from Europe and the Middle East, the Maginot Line was breached from behind. And so little of credible data at the beginning made the US government to miscalculate its strategic response to the virus." — Dr. Zhang Lun, currently a visiting scholar at Harvard (economics & sociology), during the interview with ICPC on Mar 29. Also on Jan 31, the WHO changed its tune and declared the coronavirus outbreak a Global Public Health Emergency of international concern (PHEIC).
Decisions on a PHEIC always involve politics .... West African countries discouraged a declaration in 2014 after they were hit by the largest Ebola virus outbreak on record, mainly because of concern about the economic impact.
------------------------ On Feb 02, regarding the US category-I travel restrictions, Kamala Harris, the former Democratic presidential candidate, declared on Twitter:
Since 2017, Trump’s travel bans have never been rooted in national security—they’re about discriminating against people of color. They are, without a doubt, rooted in anti-immigrant, white supremacist ideologies. This travel ban is no different.
On Feb 03, criticizing Trump for his travel restrictions continues. Chinese foreign ministry spokeswoman Hua Chunying (华春莹), a Peking University professors James Liang (梁建章), New York Times, the Nation, OBSERVER, the Boston Globe, Yahoo, and Daily Kos were saying, it's a "panicky" decision and "racist" or it's "cruel and callous," he's stoking fear for political gains, and the president is "inappropriately overreacting." And professors Liang even said the US ban "will hurt goodwill and cooperation [with China] in the future."          Also on Feb 03, Mr. Tedros of the WHO said there's no need for travel ban measure that "unnecessarily interfere with international travel and trade" trying to halt the spread of the virus.
China's delegate took the floor ... and denounced measures by "some countries" that have denied entry to people holding passports issued in Hubei province - at the centre of the outbreak - and to deny visas and cancel flights.
Also on Feb 03, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. — We'd never find out but my guess is that the fund will probably go to Shanghai clique. On Feb 04, The FDA has given emergency authorization to a new test kit by the CDC that promises to help public health labs meet a potential surge in cases.
The speed ... pushing through a new diagnostic test shows just how seriously they’re taking the potentially pandemic threat of 2019-nCoV. It’s also a sign that the world is starting to learn how to deal with an onslaught of new pathogens.
Also on Feb 04, the Wuhan Institute of Virology and China's Academy of Military Medical Sciences (AMMS, Chief Chen Wei belongs to) have jointly applied to patent the use of Remdesivir. Scientists from both institutes said in a paper published in Nature’s Cell Research that they found both Remdesivir and Chloroquine to be an effective way to inhibit the coronavirus. On Feb 06, Jamestown Foundation, a Washington-based research & analysis unit, noted that with State Council of PRC praising his performance of containing the pandemic situation, the council expanded Li Keqiang's political control over Politburo Standing Committee of CCP. (Li Keqiang = Communist Youth League = Shanghai clique) Also, on Feb 06, as the US evacuation planes leave China, the wave of the US evacuees have arrived who are met by the CDC personnel at the quarantine sites for screening, and those who were suspected of infection will be placed under quarantine for 14 days. Also, on Feb 06, a CDC-developed lab test kit to detect the new coronavirus began shipping to qualified US laboratories and international ones. — However, on Feb 12, the CDC said some of the testing kits have flaws and do not work properly. The CDC finally ended up shipping the working test kits for mass testings on Feb 27. This was three weeks later than originally planned. On Feb 07, China National Petroleum has recently declared Force Majeure on gas imports. They are trying to create a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019. On the same day, Bloomberg reported that PetroChina has directed employees in 20 countries to buy N95 face masks and send them home in China. The goal is to get 2 million masks shipped back. You can also find YouTube videos that show Overseas Chinese are scouring the masks at the Home Depot to ship them to China (the video in Korean). Also Chris Smith is pissed. On Feb 09, Trump renews his national emergency on its southern border, and Elizabeth Goitein from the Brennan Center for Justice, published an opinion article on New York Times titled "Trump Has Abused This Power. And He Will Again if He’s Not Stopped." On Feb 10, Dr. Tedros said that an advance three-person team of the WHO arrived in Beijing for a joint mission to discuss with Chinese officials the agenda and questions. Then, the joint mission of about 10 international experts will soon follow, he said. — Those WHO experts ended up visiting Chinese epicentre for the first time on Feb 24. On Feb 12, the US targets Russian oil company for helping Venezuela skirt sanctions. The US admin seemingly tried to secure leverage against Russia after noticing something suspicious was up. On the same day, Trump told Reuters "I hope this outbreak or this event (for the US) may be over in something like April." — Dr. Zhong Nanshan (钟南山), China's top tier SARS-hero doctor, also said "the peak of the virus (for China) should come in mid to late February, followed by a plateau or decrease," adding that his forecast was based on on mathematical modelling and data from recent events and government action. On Feb 13, Tom Frieden who is a former US CDC chief and currently the head of public health nonprofit Resolve to Save Lives, said:
As countries are trying to develop their own control strategies, they are looking for evidence of whether the situation in China is getting worse or better. [But] We still don't have very basic information. [since the WHO just entered China] We hope that information will be coming out.
On the same day, the CDC reports that the 15th case in the US was confirmed. The patient was a part of group who were under a federal quarantine order at the JBSA-Lackland base because of a recent trip to Hubei Province, China. By Feb 13, China hasn't accepted the US CDC's offer to send top experts, and they haven't released the "disaggregated" data (specific figures broken out from the overall numbers) even though repeatedly been asked. On Feb 14, CCP's United Front posted an article on its official website, saying (Eng. text by Google Translation):
Fast! There is no time difference to raise urgently needed materials! Some Overseas Chinese have used their professions in the field of medicine in order to purchase relevant materials Hubei province in short of supply (to send them to China). .... Some Overseas Chinese took advantage of the connection resources, opened green transportation channels through our embassies and consulates abroad, and their related enterprises, and quickly sent large quantities of medical supplies (to China), making this love relay link and cooperation seamless.
On Feb 18, Reuters reports that 3M is on the list of firms eligible for China loans to ease coronavirus crisis.
There is no indication from the list that loans offered will necessarily be sought, or that such firms are in any financial need. The Bank of Shanghai told Reuters it will lend 5.5 billion yuan ($786 million) to 57 firms on its list.
On Feb 21, Xi Jinping writes a thank-you letter to Bill Gates for his foundation’s support to China regarding COVID-19 outbreak. On Feb 24, China was rumoured on Twitter to delay the phase one trade deal implementation indefinitely which includes the increase of China's purchasing American products & services by at least $200 billion over the next two years. Also on Feb 24, S&P 500 Index started to drop. Opened with 3225.9 and closed 3128.2. By the Mar 23, it dropped to 2208.9. Also on Feb 24, China's National Health Commission says the WHO experts have visited Wuhan city for the first time, the locked-down central Chinese city at the epicentre, inspecting two hospitals and a makeshift one at a sports centre. On Feb 26, IF the picture that has been circulated on Twitter were real, then chief Chen Wei and her team have developed the first batch of COVID-19 vaccine within time frame of a month. On the same day, the CDC's latest figures displays 59 people in the US who have tested positive for COVID-19. Also on Feb 26, the Washington Post published an article that says:
.... the WHO said it has repeatedly asked Chinese officials for "disaggregated" data — meaning specific figures broken out from the overall numbers — that could shed light on hospital transmission and help assess the level of risk front-line workers face. "We received disaggregated information at intervals, though not details about health care workers," said Tarik Jasarevic of the WHO. — The comment, in an email on Feb 22 to the Post, was one of the first instances that the WHO had directly addressed shortcomings in China's reporting or handling of the coronavirus crisis.
On Feb 27, after missteps, the CDC says its test kit is ready and the US started to expand testing. On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others. Also on Feb 28, the WHO published the official report of the WHO-China joint mission on coronavirus disease 2019. (PDF) On Feb 29, quoting Caixin media's investigation published on the same day, Lianhe Zaobao, the largest Singapore-based Chinese-language newspaper, published an article reporting the following:
Dr. Li Wenliang said in the interview with Caixin media; [in Dec 2019] another doctor (later turned out to be Dr. Ai Fen) examined and tried to treat a patient who exhibited SARS-like symptoms which akin to influenza resistant to conventional treatment methods. And "the family members who took care of her (the patient) that night also had a fever, and her other daughter also had a fever. This is obviously from person to person" Dr. Li said in the interview."
------------------------ On Mar 01, China's State Council super tighten up their already draconian internet law. On the same day,Princelings published an propaganda called "A Battle Against Epidemic: China Combating COVID-19 in 2020" which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus. Starting on Mar 03, the US Fed has taken two significant measures to provide monetary stimulus. It's going to be no use as if a group of people with serious means are manipulating the markets to make sure MM will have liquidity concerns when they need it most. On Mar 04, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China" which states that
If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only, the US will fall into the hell of new coronavirus epidemic.
On Mar 05, Shanghai Index has recovered the coronavirus loss almost completely. On Mar 07, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. — Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & BlackRock: One common factor that connects these people is China. On Mar 08, the Russia–Saudi oil price war has begun. The ostensible reason was simple: China, the biggest importer of oil from Saudi and Russia, was turning back tankers while claiming that the outbreak forced its economy to a standstill. On Mar 10, the Washington Post published the article saying that the trade group for manufacturers of personal protective equipment urged in 2009 "immediate action" to restock the national stockpile including N95 masks, but it hasn't been replenished since. On Mar 11, the gentleman at the WHO declares the coronavirus outbreak a "Global Pandemic." He called on governments to change the course of the outbreak by taking "urgent and aggressive action." This was a full twelve days after the organization published the official report regarding the situation in China. On Mar 13, the US admin declared a National Emergency and announced the plan to release $50 billion in federal resources amid COVID-19. Also on Mar 13, China's Ministry of Commerce states that China is now the best region for global investment hedging. On Mar 15, Business Insider reports that Trump tried to poach German scientists working on a coronavirus vaccine and offered cash so it would be exclusive to the US. The problem is the official CureVac (the German company) twitter account, on Mar 16, 2020, tweeted the following:
To make it clear again on coronavirus: CureVac has not received from the US government or related entities an offer before, during and since the Task Force meeting in the White House on March 2. CureVac rejects all allegations from press.
On Mar 16, the fan club of European globalists has published a piece titled, "China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity." The piece says:
The Chinese method is the only method that has proved successful [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda. ... it is certainly a message that seems to be resonating with opinion leaders around the world.
On the same day, unlike China that had one epicentre, Wuhan city, the US now overtakes China with most cases reporting multiple epicentres simultaneously. Also on Mar 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history. But some showed a faint hint of uncertain hope. On Mar 17, according to an article on Chinese version of Quora, Zhihu, chief Chen Wei and her team with CanSino Biologics officially initiated a Phase-1 clinical trial for COVID-19 vaccine at the Wuhan lab, Hubei China, which Bloomberg News confirmed. — Click HERE, then set its time period as 1 year, and see when the graph has started to move up. Also on Mar 17, China's state media, China Global TV Network (CGTN), has produced YouTube videos for Middle Eastern audiences to spread the opinion that the US has engineered COVID-19 events. Also on Mar 17, Al Jazeera reported that the US President has been criticized for repeatedly referring to the coronavirus as the "Chinese Virus" as critics saying Trump is "fueling bigotry." • China's Xinhua News tweeted "Racism is not the right tool to cover your own incompetence." • Tucker Carlson asked: "Why would America's media take China's side amid coronavirus pandemic?" • Also, Mr. Bill Gates: "We should not call this the Chinese virus." On Mar 19, for the first time, China reports zero local infections. Also on Mar 19, Al Jazeera published an analysis report, titled "Coronavirus erodes Trump's re-election prospects." On Mar 22, Bloomberg reports that China's mobile carriers lost 21 million users during this pandemic event. It's said to be the first net decline since starting to report monthly data in 2000. On Mar 26, EURACTV reports that China cashes in off coronavirus, selling Spain $466 million in supplies. However, Spain returns 9,000 "quick result" test kits to China, because they were deemed substandard. — Especially the sensibility of the test was around 30 percent, when it should be higher than 80 percent. ------------------------ On Apr 03, Germany and other governments are bolstering corporate defenses to address worries that coronavirus-weakened companies could be easy prey for bargain hunting by China's state owned businesses. On Apr 05, New York Times says "Trump Again Promotes Use of Unproven Anti-Malaria Drug (hydroxychloroquine)." On Apr 06, a Democratic State Rep. Karen Whitsett from Detroit credits hydroxychloroquine and President Trump for "saving her in her battle with the coronavirus." On Apr 07, the US CDC removed the following part from its website.
Although optimal dosing and duration of hydroxychloroquine for treatment of COVID-19 are unknown, some U.S. clinicians have reported anecdotally different hydroxychloroquine dosing such as: 400mg BID on day one, then daily for 5 days; 400 mg BID on day one, then 200mg BID for 4 days; 600 mg BID on day one, then 400mg daily on days 2-5.
------------------------ ☞ If there were ever a time for people not to be partisan and tribal, the time has come: We need to be ever vigilant and attentive to all kinds of disinformation & misinformation to see it better as well as to be sharp in our lives. — We really do need to come together. ☞ At first, I was going to draw up a conspiracy theory-oriented list focused on Team-Z, especially Mr. Gates. However, although it's nothing new tbh, recently many chats and discussions seem overflowing with disinformation & misinformation which is, in my opinion, particularly painful at a time like this. Hence, this post became a vanilla list that's just recorded the notable events. — We all are subject to misinformation, miscalculation, and misjudgment. But the clearer the picture becomes the better we can identify Funkspiel. ------------------------ ☞ Immediate Aftermath pt.2.a ------------------------ ☞ Feasible Timeline of the Operation ------------------------ ☞ Go Back to the Short Story. ----
I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.
ok, so firstly, all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those. Next, I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether. Then, Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think! THEN, Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of. Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at. Oh, and one more thing. All of this work took about 7 months in total. Right, let's jump in. So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things. Here are the categories:
News Text Mining. - This is where they'd use NLP on headlines or the body of news as a signal.
Social data - Twitter Sentiment/Google Search/Seeking Alpha. Again, some were NLP, for google trends they just used the data.
Technical Analysis & Machine Learning together. Most of these would take the price, add TA features, then feed into a ML model.
Other machine learning (as in, not using TA). Just using the price and some other engineered features.
Analyst Recommendations. Literally just taking the recommendations from banks/brokers and using that as the signal.
Fundamental data. So ratios from the income statement/balance sheet,
Results: Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears. Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :) Now, results from the two most popular categories were:
*Social data.*A lot of research papers were extensions of or based off of a paper by Johan Bollen called "Twitter mood predicts the stock market". It literally has 3,955 citations and is complete and utter horse shit; the paper is p-hacking to the extreme. Not only could I not reproduce the results, but given the number of sentiment indicators he uses I regularly found correlations between sentiment and my data based on how I engineered it. None of these correlations held over longer time periods. Every paper that's a derivative of this one or cites it has the same issues.
*Technical analysis & machine learning.*Every paper would do something along the lines of.. take past price data for some asset (stocks, forex), then add technical analysis indicators as "features". Then either they'd run through a feature-selector that figures out the best features then put the best ones into a model OR they'd dump this data straight into the model and afterwards select the subset of instruments that it "worked" on. None of these would hold if you k-fold test them or test on different subsets of data outside of the ones used in the paper. The results are always based off of selecting favourable subsets of data.
The most frustrating paper: I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think). The two positive take-aways that I did find from all of this research are:
Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort. So in conclusion, if you're building trading strategies. Simple is good :) Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
Can you help me to identify a good career to support myself whilst I commit my youth to training to attempt to become a professional boxer?
I realise this is a really long post, there is a TL, DR at the bottom for those that are not interested in the details of my life.
So firstly, some context about me - if you're interested:
Disclaimer: I'm really sorry if I sound incredibly arrogant here, but the truth is I can't be as 'intelligent' as I think I am if I have made as many mistakes as I have in my past to end up where I currently am - just take it as though I’m selling myself for a job interview. I would consider myself to be the absolute definition of a neurodiverse generalist-specialist - in fact when I was 16 (I'm currently 20) my psychology teacher would always refer to me as the "master of all trades" (and despite as flattering as that was, there was obviously an element of hyperbole there). I am fairly autonomous; however, I am also a neophile (and my theory is that this element of myself is the biggest reason for why I am the way that I am). I am either incredibly hyper focused or completely distracted - however I have been working on developing an element of moderation to these two extremes of my character. Just to clarify though, I don't consider myself 'good at everything' - I'm actually usually the WORST at a lot of things when I first begin, and in all honesty the only thing a lot of people I know would say I'm genuinely naturally 'good at' is learning (which I really, really have come to appreciate over the years) - but I wouldn't say I have any 'innate talents' or any 'elite endowments'. For example: I'm not the best at Maths, I don't have a gift for music, I can't speak multiple languages, and I'm not the fastest or the strongest - BUT, despite whatever disadvantages I have, I have always had the supreme confidence that if I really try, and if I really dedicate myself I can reach the top ~5% of most things. In other words, I can at least do the things that don't require talent that will close the gap between myself and those at the most elite level of a particular discipline. I know this isn't unique to me, however it is something that I have had a good comprehension of since I was very young. However, the super-power I discovered is this: if I can reach the top ~5% of most disciplines, then I have the LARGEST advantage in the most multi-disciplinary subjects. The more versatility, variety, and integration a subject requires - the higher and higher I have noticed my potential to be within it (and I will relate this to boxing soon). To vaguely illustrate the point, I spend A LOT of time researching very high level multi-disciplinary subjects such as Bio-Chemistry and Physiology; Neuroscience and its connections to computation, reality, consciousness, and the practical applications of novel cognitive and neural strategies in sports and the acquisition of new 'abilities/skill'; Data science, artificial intelligence, human history, neurobiology, and systems engineering and how they could shape a society better fit for humans, their needs, desires, and purpose etc. etc. etc. I have been employed since the age of 13 and have grew up in a poor part of inner-city Birmingham, UK, from birth. My parents are 'un-skilled labourers' however have had to care for my disabled brother since before I was born, and their opportunities to progress their material conditions were, and still can be, incredibly limited; for these reasons my parents are unable to give me more support than they already do (I appreciate and love my parents a lot; they give me shelter rent free, and are always supportive of me and my ambitions). I've also always worked 'low-skilled', poor rate of pay jobs that require a lot of time investment in order to change my material circumstances: Hair salon cleaner, Fish and Chip shop, Go-kart track race Marshall, and currently I am an apprentice mechanic (21 months into the 36months required to fully qualify) - I also sold weed for some supplemental income when I was 17/18 but those days are behind me.
The 'problem' though, is this:
Despite my attraction to 'novelty' and my history of what appears to be 'commitment issues' - I've finally settled on a path that I am willing to commit my entire youth towards - but I am unable to support myself financially (and therefore at-all) if I am to make the sacrifices I need to make to be serious about this lifestyle. The main problem is time, and the second is money (go figure!). So essentially, where I'd like to be right now is: spending approximately up to 7 hours a day training (preferably most of that time in the mornings), AND saving enough money to where I have options 5-7 years from now if my efforts unfortunately do not pay off. At this point you can see why I'm having difficulty... I'm pretty sure that it's literally everyone's goal ever to earn enough money to depend on, in a minimal amount of time- however I don't need to earn a lot - just whatever is sustainable for the next 5-7 years... as long as I am able to pay for my abstract needs, with some disposable income I will be happy. THE ONLY OTHER CRITERIA is that it just can't be something monotonous. I'm here because I'd still like to develop a career suited for my skills alongside boxing if possible - but if the best case scenario is that I have to just work a minimum wage job for now, it has to be something that allows me to progress into more meaningful work that is more intellectually stimulating. Basically, a part-time job in a field that I’m interested in, where there is a very real possibility of me attaining more skilled and better paying roles.
What makes all of this complicated (sort of):
Due to a lack of personal responsibility, and a past struggle with depression I dropped out of my tertiary education (the step before getting a degree) before I received any qualifications. I do have a very, very exceptional set of secondary education qualifications - but those are only good for FURTHER education and aren't really beneficial when trying to gain employment - at least if I already had some tertiary education qualification(s) it would open up some doors to a set of slightly higher paying jobs that would (with an assumed degree of flexibility) at least enable me to work less hours and be closer to my ideal situation. I'm slightly adverse to going back into education for now, only because it will reduce the amount of time to generate some capital and train at the same time. I actually really would love to go to University (for something like Physiology with Neuroscience), but I don't want to slow down my current progress in Boxing - as time is of the essence and I will reach my biological prime fairly soon. I am fairly certain that whether my boxing career takes off or not, I will almost certainly end up going to university at a later point in my life, just because I genuinely have an interest in attaining a degree, however, as I already stated, I currently do not possess the qualifications to be accepted into University - and gaining those qualifications would also set me back in my boxing progression further. DESPITE THIS, I would be willing to complete a degree apprenticeship (so long as it’s in a field I'd consider a degree in), because I will be able to save money and sort out my finances from now, and only have to slow down my training for the next 3 years (and in all honesty that's at a push) until I'm able to (hopefully) establish a better work-life balance to, again, attain my ideal situation. At this point, I’m expecting to receive replies that will tell me to continue with my apprenticeship - especially because of the fact that I'm more than halfway through - however I will throw some spanners in the works (lol). I am already on a wage that would just about be in that range where I am able to pay for my abstract needs, with some disposable income (which is actually less than NMW here because it's an apprenticeship) - however I have gotten into debt because for the first year I was on an even lower rate of pay that was just not sustainable to meet my needs and therefore I made the sacrifice to accrue some debt, thinking it would be a worthwhile investment. Furthermore I must (and have been) buy(ing) an adequate collection of tools before my apprenticeship ends to retain employment - and tools are not cheap so this further reduces my take home pay (and will continue to do so for the duration of the apprenticeship). Not only that, but once I finish the apprenticeship, I would not like to continue my 40-hour work week - nor would I choose to stay on with my employer. Despite this, there is good potential to be more autonomous and flexible, and earn quite a lot of money by being a self-employed mechanic - but the amount of money I will have to spend to acquire the tools and facilities required to be a profitable mechanic will take me some time, further delaying my progress in boxing. Furthermore, it would be great if I had the knowledge and experience to be a self-employed mechanic, but attaining the qualification is the sole purpose of the apprenticeship - not becoming a good mechanic; I only work on newer models of a certain brand and therefore my exposure to different configurations of mechanisms, and diagnosis and rectification of different issues is limited also, which will make it difficult to have a large enough volume of potential customers to be worthwhile, unless I spend additional time in a 'backstreet' garage. I did have the thought of applying to a 'backstreet' garage and gaining these experiences and knowledge NOW, so that when I do finish, I could potentially have an easier start becoming self-employed - however I have sacrificed the amount of time that I spent being active before and this is what led me to my previous stage of being deeply depressed, and I do not want to make that same mistake again - athletic development really is my self-designated purpose in life. Disclaimer: Obviously I don’t NEED to train extensive hours every day for my mental health - but I DO need to make sure that I do not reach the age of 30/40 with regret wondering what could have been if I was courageous enough to risk it all- that's literally it. I just won't be able to live with myself if I don't at least do everything I can to try to succeed whilst I still have the opportunity. Once I’m beyond my prime, I can deal with spending my time differently, but I wake up with a sense of urgency towards becoming the most athletically developed as I possibly can every morning. I've thought about doing something like Forex or content creation - but I don’t think it's very smart to invest both my plan A and B in risky 'gig economy' style careers. I've also thought about having a career within boxing - however I don't know of any good opportunities other than competing and I'm scared anything else will kill my passion for my desire to compete also. A possibility that I have just recently began playing with though, is to begin creating an online boxing profile for myself on various social media websites - to share high quality videos of my training and performance in the hopes that I may gain a following that will enable me to gain sponsorship(s) of some sort. The only reason I hadn't done this sooner is because I have only just started to attain a level of skill and ability that I feel is 'rare' - I still have so much to work on, and this is my point, that I have no time to waste. A lot of guys will just throw themselves out there too early but, as some of my greatest idols, I follow the philosophy of Mike Tyson and Cus D’Amato - Amateurs should take their time before they start competing (I am only just about to start competing in amateurs, but coronavirus lol) because we want to dominate, and not compete. I know it may seem silly to be so, so, so focused on Boxing as a career - especially when I am not that 'tried and tested' but I know I can't just give up because I haven't yet proved myself to other people. If you've made it this far, I am incredibly impressed by your ability to focus your attention on someone else's self-absorbed first world problems for this long - and I am incredibly thankful that you continued despite my lack of concision and the horrible formatting of this huge boring wall of text. <3 What would your advise be for me?
I have a good history of low-skill employment; (In my opinion) I'm under-qualified for my level of 'intellectual capability' (through no faults other than my own), and I feel like I am already prepared for a higher-skill job - so long as I was given the opportunity to prove my ability - however I am a choosing beggar in the sense that I am trying to create a great work-life balance despite my large demands as to what constitutes 'life'; despite this I'm willing to live frugally for a while in order to make my dream a reality - but do need some disposable income to pay off some debts I have accrued and also to prepare myself financially just in-case I am unable to make my dream of becoming a professional boxer a reality once all is said and done. Therefore, with these circumstances what do you think is the best course of action to reach my ideal situation of: working part-time for (up to) 30 hours a week to begin building a career that will not feel like a form of mental torture due to the monotony of - and one that has good potential to increase earnings without increasing my commitments to work (mainly time) - something that pays me because of the extra value I can provide (funny how hard this seems - not sure if this says something about me hahaha). I have interests in all the sciences (mainly life science, but the STEM and Natural sciences are good too), public health, using tools (as long as they're not as expensive as a mechanic's hahaha), and anything that allows me to be more autonomous and learn about novel things - or at least contribute to the development of knowledge. The only thing I know is that I DO need to make sure that I do not reach the age of 30/40 with regret wondering what could have been if I was courageous enough to risk it all- that's literally it. I just won't be able to live with myself if I don't at least do everything I can to try to succeed whilst I still have the opportunity. Once I’m beyond my prime, I can deal with spending my time differently, but I wake up with a sense of urgency towards becoming one of the best boxers the world has ever seen. Edit: It's funny how one of the first things I mentioned is that I'm a 'generalist-specialist'... and then this whole post is about spreading myself too thin hahaha.
So, what is forex backtesting? It’s the process of using a forex strategy tester based on historical price data. You can perform a manual forex backtest by printing out graphs of exchange rates, or looking back through your charts. In addition, you can use sophisticated complex algorithms that perform pattern recognition tasks. Whichever way you decide to backtest your forex strategies, the ... Forex backtesting software works best if you have a database of prices. Furthermore, having a full history of economic data events could also be built in. Such data is widely offered by many vendors. Typically, it will have the daily low, high, open and closing prices, along with various Forex data for additional backtesting. MTrading trading simulator, lets you enter the market and pending ... Backtesting is the general method for seeing how well a strategy or model would have done ex-post. Backtesting assesses the viability of a trading strategy by discovering how it would play out using historical data. If backtesting works, traders and analysts may have the confidence to employ it going forward. From Model section, select Control points; Select Use date and determine the period in which you want to backtest; Select Visual mode (under Used date) so you can control the speed of backtesting. (if you can’t see Visual mode, widen the strategy tester window by dragging its top side up. Press start button; You can control the speed by visual mode and stop the backtesting whenever needed ... For some Forex traders, especially for beginners, utilizing backtesting software might sound like a rather complicated task. However, here it is important to note that this is not necessarily the case. One does not need to go through some specialized training in order to operate Forex manual backtesting software. Instead, the entire process involves just several steps. Backtesting is the general method for seeing how well a strategy or model would have done ex-post. Backtesting assesses the viability of a trading strategy by discovering how it would play out ... What is Backtesting in Forex? In forex, backtesting is when you apply historical currency pair price data to your strategy to evaluate and gauge the effectiveness of the strategy. The assumption behind backtesting is that what worked in the past can also work well in the future. This means that if a strategy is profitable based on past market conditions, there’s a chance that it will be ...
Back-Testing Jam Session: Strategy and Forex Tester Installation - Forex Trading Strategy - Duration: 40:57. Trading with Venus 2,231 views. 40:57 . Becoming a Successful Trader - Interview with ... A Very Important training in back-testing a strategy and interpreting results that will give the mental edge in trading the forex market. Also, a couple of advanced pattern with very good risk ... Demonstrates how to back-test your Expert Advisers (EAs) with Metatrader and get 99% modelling quality in 5 simple steps. The back-test is executed with qualit... In this video, I talk about how to backtest trading strategies with FXCM forex simulator. Follow me on Instagram @datkidgreatness Follow me on Snapchat @datk... Forex trading market tips and advice about how to be happy whilst trading. 🤑Learn how to become a consistently profitable and happy trader. We post weekly content and have a Discord community ... Buen día Traders.! Aquí les dejo un vídeo de como hacer Backtesting. Saludos Cordiales Victoria Sotomayor. No olvides suscribirte y darle like. (Para seguir subiendo mas vídeos) Instagram ... Off The Chain #238: PlanB on Why Bitcoin’s Stock-To-Flow Model Is Becoming More Accurate Over Time - Duration: 1:05:59. Anthony Pompliano 42,154 views 1:05:59