What Is the Proper Risk Reward Ratio in Forex Trading?
What Is the Proper Risk Reward Ratio in Forex Trading?
A Definitive Guide to Risk-Reward Ratio in Forex Trading.
Risk to Reward Ratio: The Holy Grail in Forex Trading
Forex Risk Reward Ratio - The Balance
How to Calculate Risk Reward Ratio in Forex - Forex Education
What is Risk Reward Ratio in Forex - RebateKingFX
Risiko / Rendite-Verhältnis - MT4 Indikatoren
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.
This may appear to be a noob question, but read on carefully and please try and understand the point I'm trying to make! I'm hoping your answers might be helpful to people both learning Forex and looking to get into it, so please don't hate on me for this post. I am relatively new to FX and have learned about break and retest strategies, MACD crossovers and stop losses below structure and risk to reward ratios (usually going for 1:1 or 2/3:1) and so on. I say this only so you know I've a general (very basic) understanding of charts, price action etc. I definitely do NOT expect to step into the markets and instantly win a majority of my trades, however, to illustrate my thoughts please note the example below. If I am winning 2% on a winning trade and losing 1% on a losing trade (2:1 reward risk per trade), a strategy that wins just 50% of the time trading once per trading day would be +10% each month. (10 days of -1%, 10 days of +2%). +10% is a HUGE increase in accounts and if a $1000 account was +10% per month for 12 months the end of year balance would be over $3138.43 or a 213.84% return! This leads me to a theory that almost NO system can be returning 50% on a 2:1 reward risk, even with careful trade selection (let's say I monitor the 7 major pairs, gold and GBP/JPY as I do and pick one entry a day) Am I wrong? I appreciate it is a hypothetical example designed to make a point, but my thoughts are if you monitored lots of pairs and took only ONE entry a day, we might expect to win 50% of the time. Let's expand this further. I have seen numerous algos (can't name them but looking like they win at LEAST 50% of the time) which tempt me because they appear to indicate moves I could jump on and where I could pull a bunch of pips out of the market. However, there surely cannot be a holy grail or are people making this type of insane return? It cannot be as easy as buying an algo, signing up to $300,000 worth of FTMO funding and earning 10% per month for an easy $21,000 per month income with profit share. Or maybe it is and I'm just cynical?! I end up getting tempted by courses etc. in the hope that if I spent £400 on a good course it would open the door to what I need to do, but I'm nervous this is just another huge mistake. I genuinely would love to trade Forex for a living. Really I would. I hope it's possible and I hope to learn a strategy I can wash, rinse and repeat. I love watching videos and live streamers who seem to have a great understanding of what's going on but I wonder if it's really possible. It seems a million miles away but I'm determined to keep learning and trading. Reading your considered thoughts to this post would be helpful for me and I'm sure others and thank you for reading it.
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.
I assume those of you on this sub are investing, not gambling. I also assume that y'all care about risk. If so, please read on. I feel like several times a day I see a "portfolio" advice post for "portfolios" that is 100% tech. IMO, these portfolios will perform poorly and have extreme amounts of risk. In a loose sense, portfolios seek to balance many different equities to achieve an optimal risk/reward. This is done through diversification. If you're 100% tech (especially if it's only US tech) you have little to no diversification. If you want extreme risk, you're better off trading individual stock, options or even FOREX. Why: There is a reasonable chance of a tech correction
Tech has all the hallmarks of another bubble tech
Many people are buying now only because yesterday's price was lower
Fundamentals are making less and less sense
It's happened before
The tech boom makes sense (I've pointed this out many times on this sub)
Cisco system was the highest valued company in 2000, today's it barely in the top 30. For example, if you bought 100 shares of Cisco in July 2000 it would have cost you ~$7000, by July 2001 100 shares was worth ~$2000. Even scarier, if you held for 20 years, 100 shares are worth ~$4000 today. You're still in the hole, big time!
This is a great example, as many over-valued tech companies, Tesla, Apple, etc... Will not go bankrupt, but they might be smaller.
Will all this actually happen?: Maybe, maybe not. I just wanted to show y'all that it's not unreasonable. Hence you must diversify to minimize downside risk. What to do :
Take a profit on some of the tech and diversify!
You can do this simply with some VTI and VXUS.
You can do this more complexly with non-tech cyclicals, fin sector, some REITs, internal funds.
Don't stop tech buying. If you believe in tech, keep buying! Just do so in a sensible way. Don't put all your money on black and cross your fingers. That's gambling and you're smart; you're buying ETFs cause you don't wanna gamble!
Even the pros love tech, but they're not 100% tech: https://wallethub.com/edu/hedge-fund-stocks/38113/ I'm long tech, buy it frequently and it makes up ~15-20% of my portfolio. Edit: Nice example, I looked at what happened right before the last tech crash:
A 50-50 portfolio of Tech and SPY dominates Tech or Spy on it's own
This backtest assumes that tech will bust soon and decrease dramatically; probably not realistic.
Play with the dates as you wish. However, even if you bought tech at the exact right time, i.e. Mid-1999, you'll see returns of the 50-50 mix is still good (though less than tech only), but with significant less variance. Also, don't forget tech ETFs can have hefty expense ratios which eat at CAGR.
I'm going to let you guys in on a bit of a secret. This is from someone that has been in this Forex game for over 8 years now, and has traded professionally at financial institutions for short stints. What you know about risk reward is probably why you've been losing money. The common knowledge is this. Use a 2:1 or higher risk reward because that way you'll make twice the profit when your right and half the loss, thus you only need to be right 33% of the time to make a profit! It SOUNDS good, but actually there's a fatal flaw. It has everything to do with market noise. Market noise is generally a lot larger than most people realise. I'm willing to say anything less than a multi-day time frame is almost dictated by market noise most of the days. Market noise can either be your greatest ally, or worst enemy. You can never predict if the market is going to go up, or down.. but you can almost be 99% sure that the market is going to by noisy. Most of the time VERY noisy, up down. Here is the kicker: When you setup a 2:1 trade. You are effectively making this bet: "I bet you that the price will hit X.. BEFORE it hits Y." By making X twice as far away as Y.. you are effectively betting against the STRONGEST and MOST PROBABLE force on the market.. market noise. In order to win a 2:1 R:R trade.. you not ONLY have to be right about your underlying trade idea. You actually have to HOPE that the market noise won't cuck you out of a profit. i;e You are betting AGAINST market noise. So how can we thwart this demonic force? I'm going to say something controversial: 1:1 Risk:Reward trades are hands down the BEST ratio to use on anything less than the daily timeframe Why? because your just as likely to get fluctuated into a profit, as you are into a loss. Over time this cancels out and what your left with is purely whether or not your strategy is profitable. Most strategies ARE in fact profitable. Fibs, cup and handles, all this junk. They are >50% win rate. The problem is people use greater than 1:1 R;R and end up getting fluctuated out of 70% of the trades. So moral of the story: Use 1:1 Risk:Reward. The reason why most people dont make money in Forex is because most of the marketing and educational material spew crap about 2:1 R;R or 4:1 R;R. There is a place for that kinda R;R and it's the monthly timeframe. '
10 Secrets The Trading Industry Doesn’t Want You To Know About
Today’s lesson goes to be somewhat controversial and should ruffle some feathers. I shall blow wide open and debunk tons of the knowledge you've got presumably been exposed to the present far in your trading journey. The average trader is out there walking through a confusing and conflicting maze of data from a spread of sources including; blogs, forums, broker websites, books, e-books, courses and YouTube videos. With of these learning resources available there's naturally getting to be some excellent and a few very bad information, but actually , there just isn’t how for many aspiring traders to understand what to concentrate to, who to concentrate to, or what information is useful and what information is non-beneficial. I’m not getting to pretend that there's how for an aspiring trader to filter this giant sea of data composed by of these resources and mentors out there, because there simply isn’t. knowledgeable trader with 10,000 hours of experience might stand an opportunity of deciding the great from the bad and therefore the valid from the invalid. However, you, the beginner or intermediate trader simply won’t possess that filtering ability yet. Becoming ‘Non-Average’ As traders, we concede to our instinctive feelings of social trustworthiness supported what we see and listen to , often to our extreme detriment. we frequently tend to require a leap of religion with our mentors and have a habit of taking things said to us at face value. we would like to hold close information that resonates with us and is sensible to us, especially if it’s delivered by a well-known source that we've come to understand and trust. The ‘average trader’s brain’ is usually trying to find a shortcut due to the overwhelming desire to form money and be free. The brain wants to urge a winning result immediately with the smallest amount amount of effort possible. If you would like to ever make it as a professional trader or investor, I suggest you are doing everything you'll to avoid thinking with the ‘average trader’s brain‘ and begin being ‘non-average’. meaning becoming far more aware, thinking outside the box more and questioning and filtering the knowledge you read and watch. most significantly , slowing everything all down! This now begs the apparent question…how does one even know what I’m close to write during this lesson is actually valid and factual? How are you able to really be sure? the reality is unless you've got followed me and my posts on this blog for an extended time and know me and know my work, then you can’t really make certain , and that i don’t expect you to easily believe it at face value. If you would like to return back and re-read this lesson during a few weeks, or a couple of months, or a couple of years, after you work out that i'm somebody worth taking note of about trading OR that i'm somebody not worth taking note of about trading, then so be it. So with a degree of healthy skepticism, I ask you to think about the below list of eye-opening secrets that professional traders and therefore the trading industry, don’t want you to understand about or understand. I hope it helps… Visit : توصيات الذهب اليوم FOREX isn’t the sole market the Professionals trade The FX market is large , with billions of dollars per day changing hands. It can cause you to great money if you recognize what you’re doing OR it can send you broke if you don’t. It’s a really popular market to trade globally, BUT it’s not the sole market the professional’s trade and it’s not always the simplest market to trade either. A note on leverage: The brokers and platform providers want you to trade FX on high leverage because the profit margins are very high for them. However, if you trade FX on lower leverage, the profit margins shrink dramatically for them. once you trade FX, start brooding about what can fail rather than just brooding about what can go right. I suggest avoiding stupidly high leverage like 400 to 1, as this will be very dangerous for you if the market moves quickly or experiences a price gap and your stop-loss orders aren’t executed at the worth you set. A more sensible leverage level would be 100 to 1 or 200 to 1, but any higher seems crazy. (Using an excessive amount of leverage is what wiped tons of traders out during Swiss Bank Crisis in 2015, The Brexit choose 2016 and therefore the Currency flash crash in early 2019). Broaden your view: Going forward, it'll serve you well in your trading career to start out watching a spread of worldwide markets including FX, Stock Indicies and Commodities. additionally to FX, I personally trade GOLD (XAUUSD), S&P500 Index USA, the SPI200 Index Australia, and therefore the Hang Seng Index Hong Kong , and sometimes individual stocks on various global exchanges. In short, there's more to the trading world than simply FX. I discuss the foremost popular markets I trade this lesson here. Day trading isn’t what Pro trading really is The internet is crammed with marketing trying to convince folks that the definition of a trader may be a one that spends all day actively trading in and out of the market on a brief term basis, all whilst living the life-style of a Wall St millionaire. there's a significant agenda within the industry to push this story to the masses, it's been relentless for many years . I am yet to satisfy one successful day trader who is consistent over the future and that i have almost 25,000 students and 250,000 readers on this blog. i'm not saying there isn’t a couple of out there, but 99.9% of the people that do this sort of trading or attempt to live up to the standard day trader stereotype are getting to fail and perhaps even harm themselves financially or mentally. Watching a screen all day and searching for trades constantly is that the like a compulsive gambler playing roulette during a casino. The successful traders i do know of (myself included) are watching higher time frames and longer time horizons (minimum 4-hour chart timeframes and predominantly daily chart time frames). they need no restriction on how long they're looking to carry a trade for and that they tend to let the trades find them. The professionals i do know , don't day trade, they are doing not watch screens all day, they are doing not search for trades constantly. they're going to typically fall under the category of a swing trader, trend trader or position trader. The obvious paradox and conflicting reality within the ‘day trader story’ is blatantly obvious. How does a trader who is consistently watching a screen and constantly trading have time to enjoy his life and live the lifestyle? They chose to trade as a profession to possess a life, they didn’t choose it to observe a screen 24/5. Here are some points to think about that employment against the so-called ‘ day trader’: The shorter the time-frame the more noise and random price movement there's , thus increasing your chance of simply being stopped out of the trade. Your ‘trading edge’ features a higher chance of yielding a result for you if you’re not trading within the intraday noise. The same trading edge doesn't work or produce an equivalent results on a 5 min chart compared to a Daily chart. Commissions and spreads churn your account, therefore the more you trade the more you lose in broker platform costs. (I will mention this below) Risk-Reward ratios aren't relative on shorter and longer time frames. Statistical average volatility across different time periods also as natural market dynamics play an enormous role during this . there's much more weight behind higher time frames than lower timeframes. Great trades take time because the market moves slower than most of the people ever anticipate. Trading from the upper timeframes and holding trades for extended time periods will provide you with greater opportunities to ascertain trades mature into big winners. However, shorter timeframes don’t provide you with this same opportunity fairly often .
https://preview.redd.it/s8df6kzd0tw51.jpg?width=1200&format=pjpg&auto=webp&s=1415af6b476b3ad00d3fcb6a8769de347b2a132d Today, we are going to discuss how the rising of fake gurus from YouTube actually hacking our brain and trapping us to gambling in the stock market by using their attractive thumbnail and live webinar. In the end, we will discuss how to avoid being trapped. Please read this article seriously because we have made it very simple for you to check who is good or bad. We Indians feel good when someone gives us something free of cost whether that content is valid or not, legit or not we hardly verify the facts. We can accept anything & everything IF it is free of cost. Didn’t you experience it? At first, we are going to talk about why 95% of stock market-related content on YouTube is bullshit and fake which will not give you satisfactory results what they are claiming in the thumbnail. It’s so funny that I identified there in one video thumbnail that claimed to quit your job to become a millionaire by following his strategy. Seriously, Guys? There are millions of fancy strategies stated as no loss strategy, guaranteed monthly income strategy, 100% working strategy, intraday tricks which will never give you loss, how to earn 1 Cr in one day, Become warren buffet in 3 simple steps, how to get your money double in options trading, etc, etc You know guys what is the most fun thing? There are millions of views on their videos. It’s clearly indicating that we are the ones viewing all those videos that resulted in getting us trapped. Isn’t it? How is it possible that someone without any experience will come and tell us how to make millions from the stock market? Guys, think logically does that possible? Have you ever verified their article before practically implementing it in the live market by putting your hard-earned money? Why are you using even in the first place? Believe me, no one can make you rich in the stock market. It’s only your right and quality knowledge, dedication, and focus that can change the way you see the stock market. No amount of information will provide you an edge or trading improvement until and unless you experience it by yourself practically by implementing. For egg: whatever we share at AfterVision, we do it with full confidence because we only share a backtested system that we have achieved after 11 years of deep research & experience. Believe in the result, don’t just focus on fake and manipulated promises. Any single mistake in the stock market can make your capital zero. You have to control and focus on your Psychological process and implementation with the combination of Disciplined because these both play an important key role in the stock market then come last our so-called strategy. The strategy has no value if you don’t have an advanced system which can give you a better risk-reward ratio and clear cut entry and exit mechanism. Never join anybody if someone is making fake promises to give you more than a 10% return per month consistently. But, the funny thing is no one will talk about less than 30-50% of the capital return. Amazed? Don’t be the one to get trapped though! Never be dependent on any tip provider, signal or software, etc because trust me it is a bullshit idea of selling tips and indictors which doesn’t work seriously. They don’t trade themselves because it’s easy for YouTubers to create a 5 min video explaining about anything and showing some fake screenshots to trust us easily on them. YouTube is like their Dukan(shop), the business turnover is depending on our views we give to them that why they always come up with some choosy and fake caption and thumbnail such as 100% capital double, no loss strategy, etc so that viewers will click often on their video by getting trapped. Youtuber and live webinar guys will emotionally sell you some sort of snack oil of how you can change your life by joining their superficial level program. I am not telling you that all are bad. But, I can tell you 6 out of 10 are selling craps on the name of courses. I have got to join so many courses in the last 6 months to experience ranges from Indian to Forex guys. They are just bragging about indicator on the name of courses. That’s it. We already know indicators don’t work all the time. It’ll give you 3 times signals within 30 min. You’ll confuse about whether to buy or sell. That’s what the techniques they are claiming to work 100% of the time in any market in any situation. Why we are different at AfterVision? First of all, we don’t ever promise you to give 100% result because there is no perfect system in the world which can give you 100% result. We don’t sit and trade the whole day that’s a fishy system to sit the whole day to make money. At AfterVision, Only 45-60 min is enough to make money if you are a serious trader. We focus on a one-to-one basis live session rather than providing a crowd or batch where no one can ask questions openly. We don’t talk about any kind of indicators because believe me it is just crap, will only confuse you in the end. we believe in logical trading, if you are not getting any logic to take an entry or exit then simply we sleep that day without doing trade. We never focus on more than 5 trades in a month because we believe in quality rather than just focusing on quantity. We provide 24*7 doubt sessions with lifetime support. Yes, anytime you can call at AfterVision to take any support. Click here - http://blog.aftervisioneducation.com/the-rise-of-fake-gurus/
Part IV - Entry Options Hey everyone, you can find Part III of this series here: https://www.reddit.com/Forex/comments/h97sv7/part_iii_my_10_minutesday_trading_strategy/?utm_source=share&utm_medium=ios_app&utm_name=iossmf Welcome to Part IV where I will be discussing various entry options. I’ve said this before, but it is worth repeating here as well: identifying a technical setup is one thing. Making money off of that setup is a whole other thing. This is precisely why most signal services fail. While the quality of the signal provider is one thing to consider, the other thing to take into account is that it is very difficult to blindly trade like somebody else - even if they give you their exact entry and exit points. This is why I really want to focus on figuring out how to make MY strategy work for YOU. I will share with you a few different options for entries based on the strategy’s prototypical setup. But it is 100% on you to figure out what suits your trading style, personality, and lifestyle the best. Part V will cover exit options. Part VI will cover risk allocation & management Let’s get on with it. Basic Notes On Entries: We are assuming that all entries are referring to a setup that forms at 5pm EST. I am using 5pm EST because that is when the most trading opportunities have the potential of occurring based on this strategy. It is also when you will see the spreads widen out as the NY Session comes to a close. Therefore, you will not want to take a market order right at 5pm EST. Usually the spreads start narrowing again by 6pm EST.
Limit order (we will use fibonacci retracements to figure out where to place our limit entry orders)
Stop order (we can set a stop order beyond the setup candle’s high/low. I personally do not recommend this particular method, but I am including it here because one trader that uses this strategy has had success with it and prefers it)
The big difference between the stop order and the other entry types is pretty simple. If you are using a stop order to get into the trade, you will not have as good a risk to reward ratio as a trader that used a limit order to get into the trade. The advantage to using a stop order is that there will be some trades where you do not enter the trade because price never went beyond the high/low point of the setup candle. This means you avoid taking a loss on those trades whereas a trader who used a limit or market order to get into the trade would take a loss. The other advantage is that there may be trade setups where the limit orders don’t get filled but the stop order will. I have NOT statistically tested stop orders vs the other order types. If you want to know what works best for you, it is on you to do the testing. Okay let’s take a deeper look now into the different ways we can enter:
Limit order: We will draw our fibonacci retracement levels over the setup candle (I have updated the Fibonacci levels I use in Part III. Replaced the old screenshot with the new one with up-to-date levels). We will then look to place our limit orders just below (IF a short trade setup) / above (IF a long trade setup) the 23.6% and 38.2% Retracement levels. When I say just below or above, I am referring to the spread amount at minimum. However more above/below you want to go is up to you and your testing. Sometimes your limit orders get filled rather quickly. Sometimes they take longer (hours longer). I cancel unfilled Retracement orders if price has run to a fiboancci extension level without filling me on the trade. The obvious benefit to limit orders is that you can set your orders and then simply walk away from the screens. IF the setup candle closes past its 23.6% Retracement level then you will only take ONE limit order off the 38.2%.
Market order: Since we will not be taking a market order trade right at 5pm EST, this leaves us with options. Because a market order does not guarantee us a fill price, we do have some flexibility vs taking strict limit orders. The risk you run with using limit orders is that if your price is not met, you do not get filled. So for example, let’s say it is 6pm EST and the spreads begin to narrow once more and price just so happens to trade right around the 23.6% Fibonacci Retracement area. This is a great opportunity to simply take a market order and get into the trade. Let’s say, however, that price never retraced back into the setup candle and it looks like the trade may simply run to its profit target. What do you do? Well, you can still take a market order to get into the trade… OR you can wait to see if price will retrace back into the candle later on… OR you can write the trade off because price has already run to a fibonacci extension level. The bottom line is that if you have flexibility and you have options. **NOTE: On setups that occur outside the 5pm hour, you can obviously take market orders as soon as the setup bar closes without worrying about unusual spreads)**
Stop order: Stop orders are similar to limit orders in that you can set the orders and then walk away from the screens. If you are using stop orders you will not split your order into several parts. You will simply take one order. You will set the stop order just beyond the high/low of the setup candle.
My preferred method of entry: I like to combine the market and limit entry options myself. Again - assuming a 5pm EST setup here is what I do:
Set limit orders at 38.2 and 61.8% Retracement levels and walk away. If I get a notification that my 23.6% order got triggered, I don’t have to come back to my screens. If I don’t get a notification that my 23.6% order got triggered by 6pm EST, I’ll come back to the trade setup and execute a market order and then delete the 23.6% order. I leave the 38.2% limit order as is. Hopefully it triggers, but if it doesn’t then at least I have half my position on. IF it is a situation where the setup candle closes past its 23.6% Retracement then I will only take 1 order, whether it is the market or the limit.
3 Biggest Mistakes I Made When I Was Learning to Trade Forex
When I first learnt to trade, I had no clue what I was getting myself into. As I was searching the internet for the wide range of forex material available, I noticed two main things. The first one was 'Forex is the hardest easiest money you will make' and that 'Over 90% of Forex traders fail.' Well, now, as I've been trading forex for some time now and mentoring people how to trade, I realised the 3 biggest mistakes I made while learning to trade. 1. Overtrading I would jump on the charts at the London open, do my analysis on 6-8+ pairs and place multiple trades at once. This happened every time I jumped on the charts, I ALWAYS thought there was a trade to be taken. I remember feeling like a real professional at the time, watching my multiple positions tick up into profit but eventually hitting my SL and closing me out, losing 2-3% a night. Obviously just starting out, my trading psychology wasn't the best and this often resulted in emotional trading. I would open up bigger positions to make up for my losses, which often resulted in even greater losses. One trade, I lost 2k in a matter of minutes which was 40% of my account at the time. Do I regret any of this? Absolutely not. This helped me to build the current mindset that I have today. When these BIG mistakes occur, you have to remember that you are in this for the long haul. I would tell myself that 2k will be nothing when I am trading a 100k account in the future. LEARN from your mistakes, do not make them again, and then move on. I found journaling and back testing EVERY trade I took to greatly help this problem of overtrading as the more trades I took, the longer I would be spending on the weekends studying all my trades. 2. Not understanding the importance of RR and risk management I didn't understand how important risk reward ratios were when I first started trading. My mentor would always tell me not to take any trades that were less than a 1:2.5 RR but I struggled to find these trades as I was always just taking random trades when I hopped on the charts. Once I finally understood, through experience, that trading is a game of probabilities and to have an edge over the market and therefore gradually grow your account, you need to ensure you are taking trades with a good RR. I would be watching the charts and when price was coming close to my entry price, I would execute a buy/sell, not realising that the few pip difference made a massive difference to my RR. I found the use of pending orders to help this issue greatly as it removed my fear of missing a trade and executing at a worst price. 3. Trading multiple pairs As I mentioned before, I would hop on the charts and analyse 6-8 pairs to see if there were any trades to take. If no trades grabbed my attention, I would continue to skim all 6-8 pairs until I forced a trade to come to my attention. Trading multiple pairs was terrible for my trading at the beginning. I always assumed that all pairs have the same qualities and move the same but how wrong I was. Reducing the number of pairs that I traded to only 1-2 helped my trading greatly. You notice certain qualities that each individual trade has, such as EURUSD not pulling back as much as GBPJPY, for example. You learn the language of the pair and how it may react at certain S/R or to certain news. What are you currently struggling with?
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?
Swing Trading: Learn How To Accurately Swing Trade For Free
Among the most popular forms of trading, suitable to all levels of experience, is to learn how to balance trade. The idea behind swing trading would be to identify a market swing low and change it to a market swing high. And if you're able to get in early enough by swinging high or swinging low, there's a fair chance you 're going to make a reasonable profit. Since swing trading is not just a well-established type of trading. Swing trade definition: is a trading style aimed at catching market reversals, targeting small to medium-term market losses over a restricted duration of two weeks. Swing traders rely primarily on technical analysis to identify opportunities. SWING TRADING VS DAY TRADING There may be a fine line between swing trading and day trading. Thanks to the nature of swing trading looking at swing highs and swing lows, swing traders are more likely to see them during the day. The key difference between a swing trader and a day trader is usually based on the system used. Whereas, a day trader may use a variety of technical indicators such as the moving average or the Bollinger bands to generate business ideas. Compare the two trading styles: Swing trading is always a lot more relaxed, and their charts are much smoother and easier, and they tend to follow the trend. Is SWING TRADING PROFITABLE? All forms of trade are profitable. Swing traders have a greater chance of making profits because of the inherent risk-reward that comes with seeking swing trading. Thanks to swing trading, it is not uncommon for most swing traders to settle for a one to three risk-to - reward ratio. At a beginner's point of view, it is more than possible to be profitable by swing trading: it will take time to take risks Many losses can take place, but this is all part and parcel of the usual cycle of being a good forex trader. If you want to learn more about swing trading, then click the link below: https://www.alphaexcapital.com/swing-trading/
“Champions never complain, they are too busy getting better”– John Wooden
For those who have the right mindset that they are going to be among the few who make a fortune by making profit consistently in the financial markets; they always take up the challenge to identify the problems and find solutions to improve themselves. They always have the inner drive and determination to find their trading mistakes and fix the problems which will help them to improve and become an expert trader. This positive attitude is very crucial in helping a loser to become a winner in forex trading. If people like Warren Buffet and George Soros can make a good life trading the financial markets, why can’t anyone who is ready to learn, consistently review and improve his/her trading plan, do it better? From my own personal experience in trading the financial markets, I want to humbly share the following problems and really hope that it will help other traders to trade better and become winners in forex trading. Although, there may be more, these are the Eight common problems I have encountered and heard many other traders struggle with in their process of making profit consistently in forex trading: (1) Too early entry (Emotional triggers) (2) Too late entry (Doubting your analysis) (3) Too early exit (Panic Take Profit) (4) Too late exit (Greedy delay) (5) Holding on to losing trades against the market trend (Stubborn traps) (6) Using too high lot sizes (Over leveraging your account) (7) Poor money management (Investing more than 2% of your account balance or equity on one trade) (8) Poor risk-reward ratio (Having too many open trades running simultaneously)
Steps to diagnose Trading Problems
(1) Check your trades at the end of each trading week; mostly on Saturday or Sunday evenings. (2) Review your trading log or Account History. Make sure you are very honest and practical with yourself. This is about money. It is better to criticize yourself very hard than to regret losing your hard-earned money due to cheap errors or mistakes. By honestly following the steps above, you should be able to identify any of the Eight Common problems listed above. This will help you to know which of the problems is most commonly affecting your trading outcome or reducing your profit. When you have successfully discovered this highly important problem or problems (if more than one), then you can focus on solving them sequentially, starting from the most frequent to the least common as revealed during the review of your trading log or Account history weekly. It is important that you never stop conducting the weekly review, so as to constantly learn and improve for better trading. Doing this consistently will help you to personally understand your own psychology and problematic behaviours or habits and also see if you are improving or not. With your commitment to this self-improvement process, you will surely become an expert in forex trading and your capacity to make profit consistently will improve significantly. Then you will become a forex winner for life!
“Learn from your losses, and improve your analysis for higher profit”.
https://preview.redd.it/qfl1nsikn7g51.jpg?width=512&format=pjpg&auto=webp&s=bc69d61f28ab6b8da8251c1825aecc21bca7e60e Summary If you can carefully follow the steps and work towards avoiding the Eight Common problems mentioned above, there is higher chance that you will be able to trade better and achieve more profits in Forex Trading. Most especially when you choose a reliable forex broker like OlympTrade due to their unique and innovative trading platform. Considering my years of trading experience using the OlympTrade website or mobile App, I sincerely assure you of making consistent profits, if you take personal responsibility by identifying and fixing the Eight Common problems highlighted above. By now, I hope you are more confident that you can make profits consistently and live a good life through forex trading. Thanks for reading and adding your own comment to this article. Trade to win!
FROM THE CEO’s DESK Dear Investors, “Behind every dark cloud there is an every-shining sun. Just wait. In time, the cloud will pass.” Marianne Williamson. All inclusive, economies are seeing recuperation with pointers, for example, PMI showing an improvement in spite of infection resurgence in a couple of nations. U.S., Euro, and China manufacturing activities have picked up pace, with July numbers in these three regions crossing 50 mark, indicating expansion. Financial and monetary policies remain exceptionally accommodative, and liquidity remains buoyant, which should provide continued support for further economic recovery. Equity market declines provide opportunities to buy better stocks at lower valuations. We foresee this slowdown and the year 2020 from an investment opportunity viewpoint rather than worrying, as the risk-reward ratio in the current scenario is in favour of equity investments. The current positive outlook on the global markets is well backed by negative real rates, expansion of the central bank balance sheet along with growth recovery and medical progress on COVID-19 While there is a growing increase in the number of COVID cases on the domestic front, there has been an improvement in the recovery rate; in India it is about 68.41 percent while 64.05 percent globally. Early signs of pent-up demand are visible in the economy as indicated by high frequency indicators. Expected normal monsoon and higher sowing of Kharif crops YoY gives us the solace that the rural economy will play a major part in the future economic growth. Other macro factors such as low oil prices and stable currency, high forex reserves and current-account surplus will act as tailwinds for the domestic equity market. Expectations of the Q1 FY21 earnings to bottom out by FY21, while the economy and earnings are expected to normalize by FY23 keeping in mind the current low interest rate scenario and high liquidity, supports valuations. With the declining dollar index and humongous global liquidity we expect the money to flow into EMs. In July, the domestic equity market kept witnessing strong FII inflows coupled with steady SIP flows in mutual funds. Know more - http://www.karvywealth.com/data/sites/1/skins/karvywealth/Download_media_report.aspx?FileName=35269F8C-8C0A-4624-9FED-793AD0998167|5252655 ^ �]H"
﷽ 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)
Risiko / Rendite-Verhältnis ist ein Metatrader 4 (MT4) Anzeige und die Essenz der Forex Indikator ist um das angesammelte Geschichte Daten zu transformieren. Risk / Reward Ratio gibt eine Möglichkeit, verschiedene Besonderheiten und Muster in Preisdynamik zu erkennen, die mit dem bloßen Auge nicht zu erkennen sind. Basierend auf dieser Information, Händler können weitere Kursentwicklung ... Under true market conditions, the system with a risk/reward ratio of 1:3 will likely win 2 out of 10 trades (at best), and thus come out a net -$200 loser, instead of the rosy table above that has the system making $1500 on the romantic idea of achieving 50% win accuracy with a 1:3 risk/reward setting. What Is the Recommended Risk/Reward Ratio in Forex Trading? 1:3 or 1:5 risk/reward ratio is achievable when (1) the market trends after forming a strong trade setup, and (2) you succeed to enter on time. You need to be able to enter the trending market, when the trend is newly started, or if you enter at the middle of the way, the trend has to be strong enough to give you another big movement ... Important: There is another way to interpret the risk-reward ratio by inversing the R/R ratio formula. Thus, the risk-reward ratio for the previous example would be $4 / $2 = 2. The value 2 indicates that the trader will make twice the amount he is risking. In essence, it is a reward/ risk ratio that is being calculated, not the risk/reward ratio. The risk-reward ratio is simply a calculation of how much you are willing to risk in a trade, versus how much you plan to aim for as a profit target. To keep it simple, if you were making a trade and you only wanted to set your stop loss at five pips and set your take profit at 20 pips, your risk-reward ratio would be 5:20 or 1:4. The Risk to Reward Ratio One year after I quit trading, but with the pain still fresh in my mind, I met one of the friends I had made during my trading days. He had clean charts without tons of indicators, and, from his history, he was a profitable trader. The risk-reward ratio or risk-return ratio in trading represents the expected return and risk of a given trade or trades based on entry position and close position. A good risk-reward ratio tends to be less than 1, that is, the return (reward) is greater than the risk. The next question is how to calculate the risk-reward ratio in forex?
Forex Basics - Lot Sizes, Risk vs. Reward, Counting Pips ...
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