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Former investment bank FX trader: some thoughts

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

Why it matters

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

Capital and position sizing

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

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

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

Kelly Criterion

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

How to use stop losses sensibly

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

Picking a clear level

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

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

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

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

Coming up in part II

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

Coming up in part III

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

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

Gold Trading Strategies

I’ve been doing quite a lot of digging around looking for ways to trade gold, I have been mucking around with forex for about 4-5 months now and i’m really trying to buckle down and find a profitable strategy for trading gold.
I love how volatile it is because it leads me to believe that it would be a good pair to trade daily.
I understand there is some correlation between gold and oil prices as well as gold and the USD and the AUD. I just do not understand how to form a proper strategy.
I’m shooting to make 100 pips a day consistently so if anyone has any advice on how I could make this goal a reality it would be more than appreciated.
submitted by Slatcentral to Forex [link] [comments]

Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

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

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

Squeezes and other risks

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

Events

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

Squeezes

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

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

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

Asymmetric losses

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

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

Market positioning

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

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

Raw format is kinda hard to work with

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

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

Bet correlation

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

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

Crap trades, timeouts and monthly limits

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

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

That's a wrap on risk management

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

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

Dollar is set back by euphoria. Forecast as of 09.11.2020

Dollar is set back by euphoria. Forecast as of 09.11.2020
Investors continue trading the idea of Joe Biden becoming the president. That is why the S&P 500 features the best weekly rise since April and pushes the EURUSD up. How long will it continue? Let us discuss the Forex outlook and make up a EURUSD trading plan.

Weekly US dollar fundamental analysis

Euphoria rules the market. Investors forgot about both COVID-19, the US fiscal stimulus's unsettled issue, and Donald Trump rejecting the voting results. Traders are satisfied with the less uncertainty around Joe Biden’s policy, hoping for lower volatility. Analysts suggest that the divided Congress won’t allow Biden to carry out radical reforms in tightening taxation and regulation of technology companies. As a result, the S&P 500 grew by 7.3% in the first week of November, and the USD dropped to the lowest level since early September.
How long will the euphoria last? History proves that starting from 2000, if the S&P 500 was growing on election day, it continued growing in November and December. The first years of presidential terms were also favorable for the US stock indexes. The S&P 500 grew by 18.6% on average. However, the stock indexes’ trends during the time of the divided Congress, which prevented the White House from carrying out radical reforms, were controversial. During 45 years, starting from 1928, when one party controlled the US government, the stock market rose at an average rate of 7.46% annually, up from 7.26% in 46 years when the power was divided.

Reaction of S&P 500 to the political situation in USA


Source: Wall Street Journal
In my opinion, the markets are going too fast. Investors want to join the stock market’s uptrend, forgetting about the negative. However, are some negative factors that should have their effect. First, political uncertainty continues. Donald Trump is challenging the election results. Because of the second round of voting in Georgia, we will know the partisan makeup of the U.S. Senate only on January 5. It creates obstacles to the agreement on the new fiscal stimulus. Until a fresh stimulus is provided, the US economy will be slowing down, which presses down both the global GDP and the risk appetite.
Second, the coronavirus vaccines haven’t yet been developed, and the COVID-19 pandemic continues in the USA and in the euro area. The numbers of new coronavirus cases, hospitalizations, and deaths are hitting all-time highs, so investors’ optimism is surprising. The epidemiological situation in Europe is deteriorating. France, Germany, and other countries are locked down. This fact suggests that the divergence in the economic growth and monetary policy is in favor of the EURUSD bears.
Finally, the U.S. dollar may not be falling amid the growth of the S&P 500. The negative correlation between stocks and the USD is the strongest at the time of uncertainty, also because of the US presidential election. Once uncertainty eases, the negative correlation should stop working.

Weekly EURUSD trading plan

Euphoria rules the market, but it can’t last for long. If the EURUSD bulls fail to hold the price above 1.188, the pair should roll down to 1.183 and 1.1785. Otherwise, if the resistance is held up, the euro could continue the rally up to $1.195-$1.196 and even $1.2. Next, large traders should take some profits and exit the longs.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/dollar-is-set-back-by-euphoria-forecast-as-of-09112020/?uid=285861726&cid=62423

submitted by Maxvelgus to Finance_analytics [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Aussie goes against the wind. Forecast as of 05.10.2020

Aussie goes against the wind. Forecast as of 05.10.2020

Monthly Australian dollar fundamental analysis

Hope for the best but do the rest. Although the major drivers of the AUDUSD 30% rally up from the March low have been the rapid recovery of China’s economy and the increase in the global risk appetite, the Australian dollar has domestic drivers as well. Australia efficiently manages the pandemic, and the government is willing to expand the fiscal stimulus. Australia’s Treasurer Josh Frydenberg is willing to provide money until the labor market returns to the full employment state. It is about the unemployment rate of 5%. The current unemployment rate is 6.8%, and it may grow to 8%-10%. It will hardly drop back to 5% before 2022.
Investors expect the Treasury to boost the fiscal stimulus. As a result, the net debt burden will increase to AU$712 billion or to 38% of the GDP. At the same time, the national debt ceiling will be increased above AU$1.1 trillion, and the income tax hike, planned for 2022, will be delayed. In the USA, the national debt exceeds 100% of GDP, in the euro-area, it is close to 100%, the Japanese government debt is more than 200%. Canberra can afford additional stimulus. Besides, the expansion of government bonds issue will support the capital inflow in Australia and strengthen the Aussie. Australia’s government bond rates are the highest among the countries issuing the G10 currencies.

Dynamics of Australia’s net debt, % of the GDP


Source: Bloomberg
Carry trades and high investment rating of Australia’s securities support and will support the AUDUSD bulls amid the high risk appetite and low volatility. That is the reason for the AUD correlation with the US stock indices. The turmoil in the S&P 500 market ahead of the US presidential election will suggest the AUDUSD consolidation.

Dynamics of AUDUSD and S&P 500


Source: Trading Economics
In addition to the size of the additional fiscal stimulus, investors are focused on the RBA's willingness to expand the volume of monetary support. In September, the RBA officials discussed such measures as the interest-rate cut down to 0.1%, purchasing bonds with longer maturities than currently under QE, negative borrowing costs, and even FX interventions. The latter two options are aggressive, and the regulator will hardly resort to such measures. But it is likely to cut the interest rate by 12 basis points. The derivatives market suggests it will happen already this year.

Monthly AUDUSD trading plan

Expectations of monetary expansion is a bearish factor for the AUD. However, I don’t think the RBA will do it in October. It is likely to leave the door open for the interest rate cut in the future and set the Aussie bulls back using verbal interventions. The RBA will hardly turn the uptrend down, so, its dovish stance will give a chance to buy the pair of the price fall. Following ht consolidation in the range of 0.695-0.735, the AUDUSD is likely to continue its rally up to 0.76 and 0.79.

For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/aussie-goes-against-the-wind-forecast-as-of-05102020/ ?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

Some tools free from Onada's site.

I am not associated with Onada in any way, just thought these were interesting and didn't know about them until recently.
Volatility Graph: Zero in on which currency pairs show the most significant price fluctuations over various time periods.
https://www.oanda.com/forex-trading/analysis/currency-volatility
 
Currency Correlation: See how currency pairs have moved relative to each other https://www.oanda.com/forex-trading/analysis/currency-correlation
 
Candlestick Patterns: See candlestick patterns plotted over recent currency movements.
https://www.oanda.com/forex-trading/analysis/candlestick-patterns
 
Currency Strength Heatmap: See the percentage change and rank of each currency relative to other currencies traded against it.
https://www.oanda.com/forex-trading/analysis/currency-heatmap
 
Market Trading Hours: See global forex trading hours and statuses.
https://www.oanda.com/forex-trading/analysis/market-hours
 
Official Economic Figures: Access more than 150 economic figures from the world's major markets.
https://www.oanda.com/forex-trading/analysis/economic-indicators/
 
OANDA Forex Open Position Ratios: A summary of open positions held by OANDA clients
https://www1.oanda.com/forex-trading/analysis/open-position-ratios
 
OANDA Forex Order Book: A 24-hour summary of open orders and positions held by OANDA's clients.
https://www1.oanda.com/forex-trading/analysis/forex-order-book
 
edit: Article about: Using Oanda’s Orderbook To Trade Stop Hunts
https://www.forexmentoronline.com/using-oandas-orderbook-to-trade-stop-hunts/
Again, interesting but i'm just starting out, little to advanced for me right now.
submitted by Oatmeal_or_Porridge to Forex [link] [comments]

What Is Forex?

What Is Forex?

A New Era

Although it might seem easy to invest in Forex nowadays, by just logging into an account with a broker, deposit some money and start actively trading; it has not always been like this, as forex industry has rapidly changed in the past three decades.
Before technology and free-floating currencies took over the industry, world currency exchanges were operating under the Bretton Woods System of Money Management. This agreement established rules for commercial and financial relations among top economies, tying their currencies to gold. Hence, a currency note issued by any world government represented a real amount of gold held in a vault by that nation. When in July 1944 delegates from all over the world sign off the pact, the main goal was to reduce lack of cooperation between countries and therefore avoiding currency wars. This process of regulating the foreign exchange brought to the foundation of the international money fund (IMF) and the International Bank of Reconstruction and Development (IBRD), today part of World bank Group.
However, in the early 70s the real-world economics outpaced the system, dollar suffered from severe inflation cutting its value by half. At that time unemployment rate was 6.1% and inflation 5.84%. Finally, in August 1971, U.S. government led by Richard Nixon took away gold standard, creating the first fiat currency and replacing Bretton Woods System with De Facto. Together with this there were other important measures taken by the USA president to combat that high inflation regime:
  1. This decision was driven by many European nations asking to redeem their dollars for gold, till leaving Bretton Woods System. This had an enormous impact on USD which plunged against European currencies. Consequently, USA congress release a report suggesting USD devaluation to protect the currency from foreign gougers. However, dollar dropped again, and Treasury Secretary was directed to suspend the USD convertibility with gold; hence foreign governments could no longer exchange their USD with gold.
  2. The inflation level was skyrocketing and one more action taken by Nixon was to freeze all wages and prices for 90 days, this was the first time since WWII.
  3. Import surcharge of 10% was set up to safeguard American products ensuring no disadvantage in trades.
Today, USD dominates financial markets, accounting together with the EURO, for approximately 50% of all currency exchange transactions in the world.
1971 represents the beginning of a new forex trading era, bringing this market to be the largest and most liquid in the world, with an average of daily trading volume exceeding $5trn. All the world’s combined stock markets don t even come close to this, what does this mean to you?
In an environment which is controlled by free-floating currencies moving constantly, following principles of supply and demand, there are constant and exciting trading opportunities, unavailable when investing in different markets.
In this article are shared main features of what is forex trading today and how can be an incredible new source of income for everyone who is into financial markets.

What Is Forex?

Forex is the acronym for foreign exchange which intends to be a decentralized or over the counter (OTC) marketplace, where currencies from all over the world are traded 24 hours, five days a week. Main financial centres include New York, Chicago, London, Tokyo and Frankfurt for Eurozone. It is by far the largest market in the world in terms of volume, followed by the credit market. Being highly liquid is an important feature that allows traders to be able to enter and exit their positions very quickly. Nevertheless, while trading forex, an investor should be aware of several components:
Dynamicity – forex is an extremely fast environment, this means that currency rates can move very fast, influenced by price action signals and fundamental factors. Therefore, going into forex trading, one needs to be aware of adopting serious risk and money management strategies in order to be effective, limiting losses.
Zero Sum Game – trading forex is not like investing in the stock market but is known to be a zero-sum game. For example, going into the equity market buying some tech shares, they could both rise or decrease in value. In forex is different because currencies work in pairs; for instance, an investor decides Euro will go up he or she is doing it against another currency. Thus, in this specific marketplace one currency will rise while the other will fall, meaning an investor is buying the currency hoping it will appreciate to the other, or selling the one that will depreciate.
See image below:
Figure 1: Main traded currency pairs
https://preview.redd.it/vu77ziuoyle31.png?width=574&format=png&auto=webp&s=9b1693bf27508fcb142705c309de1fc5b3e8fa19
Currency pairs are composed by a base and a price currency. Main forex trading principle is how much price currency an investor can buy using 1 unit of the base, thus, the base currency, which is the first one in line within the quotation, is always equal to 1.
Because like every financial instrument currency pairs are driven by fundamentals of supply and demand, forex is intensively influenced by geopolitical and macroeconomic factors.
Capital Markets – these are the most visible indicators of a country economic health, where usually the healthier the economy the stronger the currency. For example, a rapid sell-off from a country will show that nation is not economically stable, subsequently investors will think negatively of it depreciating its currency.
Moreover, many countries are sector driven, this means that their currencies are strictly correlated with certain resources. For instance, Canada which is a commodity-based market, CAD is strictly linked to price of Brent and metals, a swing in those will affect the Canadian currency.
Finally, credit market is also connected to forex since also relies heavily on interest rate so, a change in bond yield will have major impact on currency prices. like increase in yield will favour bullish market for USD
International Trade – Trade levels serve as a proxy for relative demand of goods from a nation, a country which goods and services that are in high demand internationally, will experience an appreciation to its currency. This is an effect driven by all other countries converting their currencies into the one of that state to purchase its goods and services. Let’s say a product from USA is in high demand globally, all the other countries must sell their currencies to buy dollars to then see their goods shipped, thus USD will appreciate.
Trade surplus and deficit also indicate a nation competitive standing in international trade. Countries with a large trade deficit are usually importers resulting in more of their currencies being sold to buy goods worldwide, thus they will see their currencies devaluate.
Geopolitics – The political landscape of a nation places a major role in the economic outlook for that country and consequently, the perceived value of its own currency. Beside building up price action strategies, based purely on price levels, forex traders constantly look at economic calendars and news to gauge what could move currencies. A geopolitical event which is having a great impact on GBP, is the election of Boris Johnson as UK prime minister, driving the local currency to 2 years low, yesterday 29th of July 2019. Therefore, when investors observe instability from a nation political environment, there are high chances that the currency of that country will depreciate.

Why Trading Forex

Beside swapping from a gold standard to free-floating, which change the whole forex trading game, technology is another crucial factor that helped this financial sector to spread globally. With the introduction of internet in the 90s forex opened to retail investors giving access to various trading platforms. The introduction of online platforms and retail investments have increased forex market volume by 5%, up to $250bn of its daily turnover. Different traders may have different reasons for selecting forex, however, mostly is because this is a fertile market plenty of daily opportunities to gauge price action and profit from it.

Volatility

How traders profit from trading forex? Basics of trading are rather simple to understand. An investor buys an asset at a certain price hoping to get rid of it for a higher price. The more volatile is the market for that specific financial instrument, the more revenue is possible to make. Therefore, a trader is looking for long up and down moves rather than market fluctuating sideways.
Volatility is great in forex and a trader can expect to regularly see prices oscillating 50-100 pips on major currency pairs almost any day of the week. Yet again, due to this enormous constant fluctuation, potential losses or gains can be very high thus, rigours money management must be applied to avoid major damages and become a profitable trader. To conclude, volatility is the main characteristic investors are looking at and that is why it is one of the main feature traders can take advantage.
See image below:

Figure 2: FDAX Volatility, H4 (30th May 2019, 16:00, 30th July 2019, 16:00)

Accessibility & Technology

While volatility is the most important element out in the market that tell us why forex is the best market to trade, accessibility comes straight after. This market is more accessible than all the others, trading forex requires an online desk position and as little as $100 to start off an account.
In comparison with the other financial markets, forex requires a rather low trading capital. Moreover, trading forex can be easily accessible from your PC, tablet or mobile since most of retail broker firms operate online. Although, accessibility cannot tell the quality of the market by itself, it definitely shows a reason why many investors try their first trading experience on forex.
Also, the rapid introduction of technology since the 90s, made trading much easier. There are every year more advanced online platforms to trade on with many possible updates and that is why trading forex is edging for many global investors.

Forex Players

Before the introduction of free-floating currency and more importantly cutting hedge technology, forex was a market that could have been traded only by institutional investors. Nowadays however, even retail and individual investor can take advantage of the huge volume forex offers every day.
Banks
Interbank market is the major responsible for the high volume registered daily in forex. This is the place where banks exchange currency among each other, facilitating forex transactions for customers and speculate for their trading desks.
  • Clients transactions: in this case banks of all size act as dealer for clients, where the bid-ask spread represents the profit for the institutions.
  • Speculation: currencies are traded to profit from their price fluctuations as well as to increase diversification on their portfolio
Because banking institutions are the biggest players in foreign exchange market, they are able to push up and down the price of currencies giving an extreme advantage and higher volatility to individual traders who are trying to gauge price moves.
Central Banks
Central banks representing their nation’s government, are crucial in forex. They oversee monetary and fiscal policies having massive influence on currency rates. A central bank is responsible for fixing the price level of its native currency on the market, in other words they take care of the regime currencies will float in the open market.
  • Floating: these are the currencies which price floats on the open market based on principles of supply and demand relative to other currencies
  • Pegged (fixed exchange rate): opposite to floating currencies pegged ones are not free-floating in the open market however, their government rather tie them to the value of a stronger foreign currency. Pegged currencies are more seen in developing countries (CYN to USD).
Because central banks manage interest rates in order to increase the competitiveness of their native nation to another.
  • Dovish: these policies will be lowering down interest rates. A central bank which applies dovish conditions aims to give economic stimulus and guard against deflation. Usually a policy intended to give economy stimulus will weakening the currency value.
  • Hawkish: on the other hand, hawkish policies lead to an increase in interest rate. A central bank that uses hawkish measures aims to reduce inflation. Typically, this kind of policies will reinforce the country currency value.
Investment Managers & Hedge Funds
Portfolio managers and hedge funds are the second investors in forex after central and investment banks. They are hired by huge institutions such as pension to manage their assets. However while portfolio managers of pool funds will buy currency to speculate on foreign securities, hedge funds execute speculative trades as part of their strategies.
Corporations
Also international corporation play a big role in forex. Those firms operating globally, buying and selling goods and services are involved in forex transactions daily. Imagine an American company producing pipes that imports Japanese components and sell the finished product to China. After the sale is closed the CYN must be converted back to USD, while the American company must exchange USD into JPY to repay for the components supply.
Moreover, company involved in international trade have an interest in forex in order to hedge the risk associated with currencies fluctuations making several foreign exchange transactions. For instance, the same American company might buy JPY at spot rate, or enter a swap agreement to obtain JPY in advance, overtaking the risk of the Japanese currency to rise in the future. Therefore, forex become crucial to run companies with many subsidiaries and suppliers all over the word.
Individual & Retail Investors
Even though this investor cluster brings to forex a very limited volume compared to financial institutions and corporations, it is rapidly growing in numbers and popularity. These base their trades on a mixture of fundamentals and technical analysis.
Bottom line, main reason why forex is the most traded market in the world is because gives everyone, from top financial institutions to retail and individual trades, opportunities to make returns on capital invested from currencies price fluctuations related to global economy.
submitted by Horizon_Trading to u/Horizon_Trading [link] [comments]

Help with currency correlation

Hey guys. How are you? I would like to get your input about something I have been trying to decide.
I CT scalp 5 minute charts, mainly EURUSD. The last week I have tried adding some more pairs to watch and had good results over it, specially at times that EURUSD volatility slows down. But I am having doubts regarding how correlated the pairs I am watching are. I have checked on https://www.myfxbook.com/en/forex-market/correlation .
I am not sure on what timeframe to base the correlation on. After checking many TFs I have decided on these pairs. Based on low correlation, less than +- 50% I have chosen EURUSD, AUDUSD, AUDNZD, EURGBP, USDCAD and GBPUSD (doesnt fit the criteria, but gives me good setups, that why I am questioning also adding more. I like working around the best possible setups and looking at the correlation on how a setup is forming on a pair compared to all others).
Do you think these pairs are not TOO correlated to allow 5 minute scalping? What are your thoughts?
My main concerns are:
1) Whether I should include more pairs even correlated, because I am good at seeing the possible setups and general sentiment because of this.
2) Whether it would split my focus too much.
Thanks!
submitted by Infinity-- to Forex [link] [comments]

Technical Analysis Weekly Review: 6. A Trading Plan, Part 1

Technical Analysis Weekly Review by ClydeMachine

Previous Week's Post:
5. Momentum & Volatility
This Week:
6. A Trading Plan, Part 1
Next Week's Post:
7. A Trading Plan, Part 2

6. A Trading Plan TL;DR


6. A Trading Plan

So you've been following TAWR for the last month - what does your trading plan look like? If you haven't started one yet, that's okay - that's what we start to cover in this week's post. First, you need to do a little soul searching.

Is this the right market for you to trade in?

Unlike other markets, the Bitcoin market does not close, not even on weekends. (International exchanges are for the most part open 6 days out of 7. BTC is around the clock.) This means there is constantly something happening, something to be watching for. Obviously you needn't be watching charts all the time and losing sleep and cuddle time because of a possible overseas news bit making waves - but this does open the market up for a lot of activity and this can be a serious stressor. If this will be too much for you, don't worry! This isn't the only market you can trade in. If this is a serious concern for you, consider other markets on the Forex. There are plenty of currency pairs to trade in that aren't nearly as crazy as those involving XBTs.
...If you're still here and not looking up USD/CHF market behaviour, that must mean you like rollercoasters.

Type of Trader: Being Honest With Yourself

Are you a swing trader? Long-term buy-and-holder looking to make a little extra in the short-term? Just curious what it's like to do what a daytrader does? Answering the question of "what type of trader are you" is important when setting up a trading plan, because certain indicators are better suited to different styles of trading. Your trading style will not necessarily reflect mine. Yours will likely differ a lot from mine and everyone else' - but as long as you can make decisions based off of that plan, and they make you money when followed, it is a good trading plan.
Ultimately, the goal of answering that question isn't to give yourself a label, it's to find a set of technical rules that you can follow that 1) make you money, and 2) that you can actually act on. Trader indecisiveness is a serious problem when on the (digital) trading floor. If you have a killer plan that seems like it'll work well for you based on the backtesting, but you find that you can't actually decide when to enter and exit a position because it's reacting very sensitive to market movements, that's trader indecisiveness. Suppose it's not reactive enough and you miss entry points every time they pass? That's also trader indecision. If you can take action based on the indicators, and make money as a result, that's a good plan. If not, go ahead and make revisions to the plan. Identify what's causing your money to disappear into fees and other traders' pockets, and make changes to keep that from happening!
I mentioned backtesting. That's important because whenever you come up with (or change) a trading plan, you need to...

PAPER TRADE FIRST.

If you aren't making money on paper, why would you make money in the market?
To paper trade, take down your actions based on your prospective trading plan, using actual market data. Follow the market and see if your trades would have made money if you had actually executed them on the market. If you're making satisfying gains consistently on those trades based on the rules of your plan, you can have confidence in your trading plan. If you're losing money or just barely breaking even, consider revisions to your trading plan. You can use historical data to check your plan's profitability, since it's readily available. Bitcoincharts.com and Tradingview.com both let you see historical data from the Bitcoin market, for example.
Obviously this will not be terribly useful to you until you've built your plan, but if you've already started to play with some indicators just to get a feel of how they look and react with the data, you'll find those two links somewhat helpful in getting a jump on next week's post.

Stick to the Facts.

Maybe your gut has never done you wrong, but always follow the chart. Befriend the trend. Trust the chart. Facts don't lie. Evidence doesn't lie. Make money by going with the market, not against it, no matter what your emotions or feelings are telling you.
This is something I've been guilty of, because the fact is I love Bitcoin. I really do. I love its functionality, its widespread growth, and the fact that it's techy at its decentralized heart. (That's a paradox, by the way.) But when a trader gets too involved with their chosen security, they believe in it for the wrong reasons. As much as I love Bitcoin, I have to sell it if the price goes into a mad nosedive. If you believe in the long-term success of Bitcoin, cool - know why you believe in it. Otherwise, just trade it and don't get too attached to it.
One of the key differences between Bitcoin and traditional stocks are that stocks are not food or clothes - you can't eat or wear stocks, so selling them is how you make money (locking in profits vs making gains "on paper"). However, Bitcoin actually does have use. It can be spent like any other currency (except faster!) and therefore having a lot of this security actually does give you a function you might not otherwise have. All the same, decide just how close you want to be to Bitcoin. If you believe it'll always and forever have a value, and will increase in value over time no matter what, then go ahead and collect as many as you can afford. If you have your cautious doubts, be aware of the previous point about getting too close to the security, and trade it like any other stock.
It's all about making money, whether you measure your monetary gains in USD or XBTs.
This next segment is right out of Barbara Rockefeller's "Technical Analysis for Dummies, 2nd ed." book, and is always true whether you're into cryptocurrencies or traditional stocks.

Diversify

"Diversification reduces risk. The proof of the concept in financial math won its proponents the Nobel prize, but the old adage has been around for centuries: “Don’t put all your eggs in one basket.” In technical trading, diversification applies in two places:

Deciding on Indicators

Wait til next week and we'll go over those! We'll see which ones fit with faster or slower trading plans (both are useful in Bitcoin) and you get to branch off from there and build your plan accordingly.

Next Week:

I'll welcome redditors to either comment or PM me their trading plans I'll do my best to look them over and offer suggestions or warnings as I see them. Again, I'm no guru or all-knowing being, and I'm not a certified trader or money manager or anything of that nature - but I'll offer the benefit of my research over the last few months regarding the indicators we've covered.
Stay curious, make money, have fun and see you next week.
submitted by ClydeMachine to BitcoinMarkets [link] [comments]

DOWNLOAD FREE Pips Wizard Pro generate $5,000 $8,000 $13,000 daily

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How To Trade Correlating Currency Pairs Forex Trading Strategies - Using Correlated pairs ($100K ... Forex Currency Pairs Volatility Forex Correlated Currency Pairs. - YouTube Currency Pairs Correlations in the Forex Market Highly Correlated Pairs, Major New Releases & Other Risks ... How to Use investing.com Forex Correlation Pairs Calculation 2018

For example, pairs which include the US dollar will often be more active during the US market hours of 12pm to 9pm (UK time), and pairs with the euro or the pound will be more active between 8am and 4pm (UK time) – when the European and British markets are open. Learn more about the best times to trade forex. What is the correlation coefficient? As a trader, understanding your entire portfolio’s sensitivity and volatility is utmost important. In the foreign exchange market, the currencies are priced in a pair, they are dependent on each other, no single currency pair trades completely independent of others. As an effective trader, you should understand these correlations of currency pairs and all the currency pairs are dependent on ... Forex currency volatility — in simple terms means how much currency moves up and down. It is then compared to it's average "behaviour". Knowing this we can divide currencies into two groups: "stable" and "volatile" currency pairs. Stable currency pairs will produce less price moves and behave rather peacefully and steady. Volatile currency pairs will make large price moves and behave rather ... You are probably familiar with the concept of "volatility". If not, we recommend you to get more information on the subject before reading this article. Here we will talk about the most volatile currency pairs in the Foreign Exchange (Forex) market in 2020.. We should note that by definition, volatility tends to change over time and is not a constant. To be an effective trader, understanding your entire portfolio's sensitivity to market volatility is important. This is particularly so when trading forex.Because currencies are priced in pairs ... Type in the correlation criteria to find the least and/or most correlated forex currencies in real time. Correlation ranges from -100% to +100%, where -100% represents currencies moving in opposite directions (negative correlation) and +100% represents currencies moving in the same direction. Click on a correlation number to view a historical correlation analysis and compare it against other ... Understanding how currency correlation works and what market factors affect different currency pairs is crucial in forex trading. 0 Comments. 39 Likes. 0 Shares. 0 0 0 0. About Tyson Clayton. Business leader, professional trader and trading mentor scratch the surface of describe Tyson Clayton, a Product Expert with Market Traders Institute. With over a decade of trading experience in the ... EUR/USD and GBP/USD are positively correlated forex pairs, with an increase or decrease in one often seeing an equal increase of decrease in the other. The reason for this correlation is the close relationship between the US dollar, the euro and the pound – with these three currencies being entwined by the strong economic ties between each of their respective economies. As an example of the ... Looking for currency pairs that correlate is a great way to boost your awareness of the markets and how you can take advantage of understanding this simple process. All whilst improving your outlook on forex trading. A Correlation of currency within the forex consist of a positive or negative type of relationship between two different pairs of currency. Forex Volatility. Table of the volatility for several currency pairs. The volatility is given in pip and dollar. Global view on Financial markets. Configure your layout by displaying up to 8 charts simultaneously. price distribution. The charts below show many types of price distribution. Every graph is updated in real time. Pivot points. Pivot points calculator. Table of the pivot points ...

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How To Trade Correlating Currency Pairs

I am the forex simplifier. If you are struggling, I'll give you the knowledge you need to become profitable. Your help is here. If you are struggling, I'll give you the knowledge you need to ... Currency Pairs Correlations in the Forex Market. Zoe Fiddes, Currency Analyst comments. PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! Discuss how correlating markets impact forex trading ... Here we learn about how currencies move in opposite direction or the same direction with each other. This enables you to avoid fake out and false signals. yo... In this short video I will cover highly correlated pairs, major news releases & other risks you need to be aware of when trading Forex! For more great conten... Learn this important Forex trading strategies Strategy - Correlated pairs. This video shows how I made $100K Profit with correlated forex pairs. Do visit h... This video is on Forex currency pairs volatility. Low volatility, medium volatility and high volatility pairs are presented with their daily moving range in pips. Created by VideoShow:http ... How to Trade using investing.com Forex Correlations Pairs Calculation 2018 #investingcom #investingcomcorrelation #investingcomtrading #forexcorrelation Coits4u,investing.com,investing.com in urdu ...

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