Hi guys,submitted by getmrmarket to Forex [link] [comments]
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Why it mattersThe first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.
Capital and position sizingThe first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.
Kelly CriterionIf you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
How to use stop losses sensiblyStop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.
Picking a clear levelWhere you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.
If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.
Coming up in part IIEDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Coming up in part IIISqueezes and other risks
Crap trades, timeouts and monthly limits
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
CompSci, Teknik Informatika, or Sistem Informatika
submitted by jtimperio to DataHoarder [link] [comments]
Intro:In my exploration of the world of big data and I became curious about tick data. Unfortunately, market data is almost always behind a paywall or de-sampled to the point of uselessness. After discovering the Dukascopy API, I knew I wanted to make this data available for all in a more accessible format. Over the course of a few months, I downloaded, cleaned, parsed, and compressed over a decade of Forex tick data on 37 currency pairs and commodities. Today I am happy to finally release the final result of my work to the DataHoarder community!
Download Links:Warning: I have rented a seedbox for the next 3 months from seedbox.io but I have been having some issues. If you have any issues with the torrent please leave a comment. Also, PLEASE SEED when you are done. This is quite a large data set and I can only push so much data on my own.
Torrent File: https://drive.google.com/file/d/18ymZWeFLJK7FggK_iiWZ-TxgWIVdJVvv/view?usp=sharingCompanion Blog Post: https://www.driftinginrecursion.com/post/dukascopy_opensource_data/
About the Data:The data was collected from https://www.dukascopy.com/ via a public API that allows for the download of tick data on the hour level. These files come in the form of a .bi5 file. The data starts as early as 2004 all the way to 2019.
These files were decompressed, then merged into yearly CSV’s named in the following convention. “AUDCHF_tick_UTC+0_00_2011.csv” or ‘Pair_Resolution_Timezone_Year.csv’
These CSV’s are split into 3 categories “Majors”, “Crosses”, “Commodities”.
Majors, Crosses, and Commodities have had their timestamps modified so that they are in the official UTC ISO standard. This was originally done for a Postgresql database that quickly became obsolesced. Any files that have been modified are appended with a “-Parse”. These timestamps have been modified in the following format.
Millisecond timestamps to UTC +00:00 time [2017.01.01 22:37:08.014] -- [2017-01-01T22:37:08.014+00:00]
User Resources:For those looking to use this data in a live context or update it frequently, I have included a number of tools for both Windows and Linux that will be useful.
WindowsThe ~/dukascopy/resources/windows folder contains a third party tool written in java that can download and convert Dukascopy’s .bi5 files. I have also included the latest zstd binaries from Zstandard Github page.
LinuxLinux is my daily driver in 99% of cases, so I have developed all my scraping tools using Linux only tools. In the ~/dukascopy/resources/linux folder you will find a number of shell script and pyhton3 files that I used to collect this data. There are quite a few files in this directory but I will cover the core ones below.
download-day.py:This file is used to download a single symbol for a single day and then convert and merge all 24 .bi5 files into a single CSV.
download-year.pyThis file is used to download a single symbol for a full year and then convert and merge all .bi5 files into a single CSV.
dukascopy.pyThis file contains all the core logic for downloading and converting data from dukascopy.
utc-timestamp-convert.pyThis tad slow but works well enough. It requires the pandas project and parses timestamps into the UTC ISO standard. This is useful for those looking to maintain the format of new files with the those in this repo, or those looking to use this in a SQL database.
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.submitted by getmrmarket to Forex [link] [comments]
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.
Letting stops breatheWe 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 stopAs 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 positionsTake 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 ordersThat 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 ratiosBe 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 returnsNot 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 ratioThe Sharpe ratio works like this:
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.
VARVAR 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 IIIAvailable here
Squeezes and other risks
Crap trades, timeouts and monthly limits
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
So yesterday I created the first part to the 'post' Today I'll continue it.submitted by iTradeSocial to u/iTradeSocial [link] [comments]
All markets, equities, cars, widgets, groceries, bonds and even forex are driven by volume. Without volume there is no movement as it's the market maker to entice the trader to aggressively buy or sell based upon their sentiments of direction.
So let's first put into perspective market sentiment and what it is for this posts purpose.
Sentiment is the psychological pressure of trader expectations in movement. It's visible through intermarket analysis and even some indexes when the indexes are properly cross referenced. But sentiment is visible even when candles stop their climb or when buying pressure supports the prices on an attempt to move lower. What comes after sentiment builds it's pressure is the path of least resistance and that's really what the markets are doing. Following the path of least resistance with volume as the rivers boundaries.
Volume in foreign exchange is real.
Retail traders think that because the market is decentralized that volume isn't available. Well, the broker you connect to, and the prime broker or bank that they connect to, they source their pricing with risk management modules by analyzing aggregated volume. Aggregation is a grouping of FX liquidity streams (that all include volume levels) into one hub of liquidity housed inside a limit order book. Volume is not made available to you though. It's the playground of the banks and if you're going to have access to a tool that allows the masses to dilute their returns do you think they would let you have it freely? Nope! They would though lobby for laws (Dodd-Frank, FIFO etc etc come to mind here) they all make it more difficult for you to trade!!!! Opacity!!! But volume is very real, it only needs proper aggregation!
So how do we find valuable opportunities when studying the charts? First off, if you study the charts alone you're doing yourself a great disservice! EURUSD in any time frame is just a representation of a relationship between two currencies. You need to study the value of the underlying currencies!
What that provides you is precision entries. Let's call the entry on Candle 12 (an arbitrary number). On candle 12 you see USDCHF spike higher, that would indicate that EURUSD is going to drop 96% of the time! Oh a little insight! So you take a position short EURUSD on candle 12 in expectation that the relationship between the two currencies is going to go lower because of the strength in the Dollar.
But remember, exchange rate fluctuation is the path of least resistance. So at the point where you have found your entry short in EURUSD, there is the opposite consideration. What if I am wrong? What it if goes the other way? At what price would it show me the opposite direction and how long do I have to wait to confirm a reversal? Candle 12 is magical. It tells you what you need. You see, in ALL instances, extremes high or lows of charts are seen by changes in what's called bid/ask bounce. When bid ask bounce is breached it's giving you sentiment, volume and price all shifting directions. If candle 12 is the candle short, then the high immediately prior to candle 12 is your reversal point!
I guarantee you this is the intersection of buyers and sellers, and when one defeats the other the market changes direction. This is true for all of the entries here, if price reversed before it reached a profitable exit then the reverse would in fact be at the opposite extreme prior to the entry candle.
So we go back and visit the adage buy low/sell high but what happens in between? Proper analysis is an active participation. And just as your analysis says you should buy or sell, your analysis should also tell you how the market is reacting in the middle. If there's no change or breach in bid/ask bounce the trend is still moving.
In the attached chart. When an entry signal is confirmed, the immediate high or low prior to that entry becomes the exact reversal point. (I have circled them in yellow) In most of the opportunities shown that stop loss is a mere 2.2 pips away from the entry price and there are no reversals that were required and all signals were profitably identified. No I did not trade them, this is live analysis that runs continually. Of all the signals there is ONE blue X in the center region of the chart that almost gave a sell signal but price pressures remained in tact and thus bullish. The analysis identifies over 100 pips in movement within a range of 35 pips overall. And none of it with lagging analysis.
With proper analysis, you can maximize your returns by comprehensively understanding all market conditions. You'll minimize your losing trades to negligible frequencies, your gains will be maximized and you'll see precisely how the market moves, turns, breathes and follows the path of least resistance.
Now my purpose here is to develop market transparency for the little guy. Sure my posts attract trolls because the trolls have been burned by their own trading ignorance. So they attack those that strive for and deliver something better, in fact most of them don't know how to trade to save their life and that's their anger. I could show you a few of them who have had accounts with companies I advise or am principal of - but there are privacy rights to respect. Do I do this free? On here of course. Is it a business? I've spent over a million dollars in just research, but when I experienced how expensive it was to obtain true transparency I knew there were benefits to providing this information to retail traders.
|ADM Investor Services||No API|
|Ally Invest||Does not support futures instruments|
|Alpaca||Only supports US Equities|
|Alpha Vantage||Does not support futures instruments|
|AMP||Broker with a huge number of platforms available including some with APIs|
|Arcade Trader||No API|
|AvaTrade||Does not support futures instruments|
|Backtrader||Not a data feed; otherwise looks cool but also looks like a one-man shop|
|Cannon Trading||Broker with a variety of platforms, some have API access such as TT|
|Charles Schwab||API does not support futures instruments|
|Daniels Trading||No API|
|Discount Trading||Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs|
|Edge Clear||Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs|
|Eroom||Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.|
|ETNA Trader||Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)|
|ETrade||API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours|
|Futures Online||No API|
|Gain Capital Futures||API available, based on .NET; unsure if they are open to retail clients|
|GFF Brokers||Broker with a large number of platforms including some with API access|
|High Ridge Futures||Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs|
|iBroker||API available; contact them for more info|
|IEX Cloud||Looks great but does not support futures instruments|
|Infinity Futures||JSON API available; contact them for more info|
|Interactive Brokers||Client Web API looks promising if clunky|
|Intrinio||Supports futures instruments but is expensive|
|Lightspeed||C++ API available|
|marketstack||API for equities available. Does not support futures instruments.|
|Medved Trader||Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.|
|NinjaTrader||Does not support futures options|
|Norgate Data||Not a broker; supports futures data for $270/year|
|Oanda||Forex only; API last updated in 2018|
|Optimus Futures||Broker with a large number of available platforms including some with API access|
|Phillip Capital||Broker with a large number of available platforms including some with API access|
|polygon.io||Expensive but looks slick; does not support futures instruments|
|Quandl||API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker|
|Quantconnect||Does not expose raw data|
|Quantopian||Does not expose raw data|
|Quantower||Software that connects to multiple brokers and data feeds; API to their software via C# interface|
|Saxo Markets||Broker with extensively documented API|
|Stage 5 Trading||API available through Trading Technologies|
|Straits Financial||Broker with several platforms available including some with APIs such as CQG, R|
|Sweet Futures||Broker with a large number of available platforms including some with API access|
|TastyWorks||There's an unofficial Python API|
|TenQuant.io||Does not support futures instruments|
|ThinkorSwim||Does not support futures instruments via the API|
|Tiingo||Free account tier but does not support futures instruments|
|TradePro||Broker with a number of platforms available; unclear if any are available with API access|
|Tradier||Free developer API account for delayed data but does not support futures instruments|
|TradeStation||Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available|
|TradeFutures4Less||Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs|
|TradingTechnologies||API looks robust; pricing starts at $700/month|
|TradingView||Does not expose data API|
|Tradovate Technologies||API exists, documentation unknown; need to talk to their account team|
|Wedbush Futures||Broker with several platforms offered, a few of which have API access|
|WEX||.NET/COM only; pricing not disclosed on website|
|Xignite||Pricing not disclosed on website but they do support futures instruments|
|Yahoo Finance API||Available through RapidAPI or via direct access; but it’s discontinued and unreliable|
|Zaner||Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs|
As we build up our product range to cover all needs, we have the tools for you to auto-trade your account, and to send you Forex Signals directly to your phone. Through our proven product range, no matter how much time you have to invest in forex, we have the product for you. We also provide reviews of other Forex products out there to help you make the best decision possible. Forex tools can be divided up into seven categories. Below is a walkthrough of each set of tools, complete with an example of how each can be used. Economic Calendar. No matter if you’re a fundamental trader or a technical trader, it’s always beneficial to know when major economic events are scheduled to take place. Economic calendars are probably the most common tool that all Forex 45+ free commodity, index and forex charts. Analyze the markets online with our easy-to-use suite of live charting tools and indicators. MFXC. Charts Platforms Signals Courses CRYPTOCURRENCY. Free Consultation All Charts Live Chart Multiple Charts Best Forex Trading Platforms Forex Signal Providers Forex Training Courses CRYPTOCURRENCY TRADING About Contact. Find the best trades in the market Myfxbook ist eine Forex-Gemeinschaft und ein kostenloser Service für Forex-Trader, die es Ihnen ermöglicht, analysieren Ihre Forex trading-Konto, teilen Ihre Trades, veröffentlichen Ihre Aussage, suchen eine Geld-Manager, Ergebnisse überwachen und überprüfen Sie Forex-Brokern. The Free Forex Indicator is a bullish reversal candlestick. Hammer candlesticks occur when price moves significantly lower after the open, but rebounds to close well above the low. In a perfect hammer, this tail is twice the length of the body and the candlestick will have no upper shadow or wick. The smaller the body and the longer the tail, the more significant the hammer is as a bullish Forex trade is at times confused with the stock market trade. This observation is usually considered due to the few similarities the two aspects share. The only similarity is that both forms of trade rely on constant changes in prices and take advantage of those shifts. This is where the similarities halt. It is, therefore, … Enter here to see my pick of the best forex trading tools of 2019. This forex tools are created and devolped by me for you Having little expectations with the Forex Smart Tools (i.e. the Trade Log and Calculator) I was very impressed by how this simple tool has allowed me to analyse my trades and strategies that I was never able to do previously. It is quite amazing how to tool opens you to question on aspects of your trading such as your what types of entries and exits, money management, and pairs/timeframes work Forex trading takes place in a competitive arena. Every trader is looking for awesome forex trading tools to help them. Even better if they are free. The good news is that there are dozens of free forex trading tools. The bad news is that most free forex trading tools are unreliable and confusing. There is no denying that the Forex market is a playground for scammers, and beginners are the easiest prey to... Read more. Forex Trading. How to Use Currency Correlations in Forex. by Admin. November 2, 2020 . 0 . Currency correlation refers to the mathematical approach of looking at whether there is a relationship between two currency pairs. It... Read more. Forex Trading. Why Traders Lose
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