Low Spread Currency Pairs to Trade on Forex Market
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
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The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
A random guide for scalping - Part V - Understanding Intraday Liquidity
Hi there guys, Welcome back to my weekly rants. Decided to add some info that should be pretty useful to your daily trading, thanks to the comments of u/Neokill1 and u/indridcold91. If you have not read the rest of the series, I recommend you take your time and read those before continuing with this piece (check my user activity and scroll down...) This rant is based on this little comment I posted on the last post: Price moves because of the imbalance between buying and selling. This happens all the time. Price move where liquidity is, and that seeking of liquidity makes the price to go up and down. Why price extends on a particular direction? Because longer term players decide it. So the idea behind what I'm writing about is to follow that longer-term trend, taking advantage of a counter-trend wave that is looking for intra-day liquidity. If I'm bullish on the week, I want to pair my buying with intra-day selling. Because I expect longer-term traders to push price by buying massively. And instead of riding a big wave, I want to ride that push and get out before it retraces. And also answers to this: why for example would it make sense to draw support/resistance lines on a EUUSD chart? Why would anyone "support" the price of a spread?What are you predicting to happen by drawing those lines, that someone will exchange their currency there simply because it's the same price they exchanged it for in the past and that number is special to them? A good question that deserves an answer That question is a pretty good one, and one any trader worth of that name should ask himself why. Why price reacts the way it does? Why price behaves in predetermined ways? Why if I draw a line or area on specific candle places, I expect the price to react? And the answer is simple and at the same time kinda complicated and fascinating. Why price rallies and rallies andd rallies and then suddenly it stops at a point ,and reverses? . The answer is , because there are sellers at that point. There is liquidity there. There is people at that point that decided it was worth to sell enough to reverse that rally. All the market does is to put together buyers and sellers. If you want to buy something at some price, someone must agree with you. If no ones agrees, then you will have to offer more. When buyers and sellers agree on similar terms, price is stable. Buying and selling happens on a tight range, because both consider that particular price range worth. But then, perhaps, someone wants to buy big. And there are not enough sellers. This big boy will dry the available liquidity , and it is hungry for more. So price will move from a balanced state to an imbalanced state. This imbalance in volume between buyers and sellers will cause the price to move up, taking all available liquidity till the monster is satiated. Then the exhaustion of bids, or buying, will cause the price to reverse to a point where buying interest is back. The same applies for selling activity. The main take away you should get from this is simply that the market keeps moving from balance to imbalance to balance to imbalance all the time. And the points where the big bois deploy this activity of buying , of selling, of protecting levels, of slowly entering the markets, are mostly predetermined. Surprised? Most of the institutional activity happens at : 00 ,20, 50 and 80 levels. So why drawing a line makes sense? It makes sense because when price stalls at some point, is because sellers or buyers stepped in and stopped the movement. Its a level where something interesting is happening. It's a level where liquidity was present, and the question is, what is going to happen the next time price touches the area? Is someone stepping in to buy or sell at this point? Or perharps the first touch dried the liquidity, and there is nothing preventing price from going up again?? Lets see a real example of a trade I took today on GBPUSD, where I analyze step by step the balance and imbalance of the market liquidity in real time at those levels. The only way to see this is usingfutures. Because forex is a decentralized market and blah blah blah, and futures are centralized so you can see the volume, the limit orders through the DOM and blah blah blah.... So first things first, read well this articule : https://optimusfutures.com/tradeblog/archives/order-flow-trading Understand well what is said there. Take it easy. Take your time. And then come back to me. If you have followed my work, you know how I like to ride the market. I want a retracement on the most liquid moment in the market - the NY-London Overlap, and I need a daily BIAS on the pair. For today, I'm bullish on the GBPUSD. So lets check the pics. https://imgur.com/a/kgev9lT The areas you see marked on the 30 min charts are based on the price relationships that happened last Friday. As you can see, those areas are always in a place where price stalled, retraced, pushed through,came back to the area and reacted in some way. Are those black magic? Why price reacts so smoothly today on them? Ah you Criptochihuahua, this is 20/20 insight, you are lying.... Those points are marked before today's open, simply because of the price relationship I described earlier. And if you remember the earlier rant, price stalls in there because sellers or buyers were present. So I would expect that the levels are still interesting, and we should be watching carefully how price reacts in real time. Now, today I got at 1.2680 and got out at 1.2725. Let's check the 2nd pic, keep following the narrative with your own charts. What you are seeing is the first touch at the big figure with the total volume chart, and the bid/ask order flow chart. You can see how the price is pulled toward that level through the exhaustion of offers being filled. You can see how exactly they are depleted at 15:51. Why? Because at the next min, you can see how there are no offers being filled, compared to the bids. Remember, when offers are getting filled , price pulls up. When the bids are predominantly being filled, price is pulled down. And also take a look on the volume. This is key. If an imbalance is to happen, is because there should be a huge difference between bids and asks. Good volume on such a level, good sign. Price hugging the level without good volume, the level will most likely be broken. Look at the next pic. See the price behavior in combination with the volume? Price is hugging the level on low volume. Great signal. That means the level is not that greatly defended, at this point. What are we looking for? We are looking for the bids to be exhausted at our next level with a good volume reaction. Watch what happens. Next pic is our retracement , and we are watching carefully. And look at that beauty. Do you see the volume? Do you see the bids exhaustion? Do you see how the market orders are getting absorbed by the limit orders at that point? Someone does not want the price to go down. Price jumps as a result. It does not huge the level. Do you see? I'm all in, I want to take part of this trade. But wait, there is more.... look at the next pic, because you yet have another opportunity to get into this train.... at 17:23.. Even a bigger reaction, while on the other side.... we got more hugging... No more pics for today. You see what happens next. The level gets broken and price rallies to take the previous day high. Trade was a success. So I hope this added some value, and explained why drawing lines is useful, and how levels are indeed defended. P.S - I lied: Extra Pic, you got a VWAP chart with Standard Deviations. You can see how the pullback nicely fits in our long framework as well and adds confluence to the trade. Research about this :)
I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions
Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have. Bonus for you guys Here are the columns in my trading journal and various explanations where appropriate: Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade that you opened and closed just one trade number. For example if you buy EUUSD today and sell it 50 pips later in the day and close out the trade, then that is just one trade for recording purposes. I do not create a second trade number to describe the exit. Both the entry and exit are under the same trade number. Ticket Number – This is ticket number / order ID number that your broker gives you for the trade on your platform. Day of the Week – This would be simply the day of the week the trade was initiated Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If you are trading a stock, put in the ticker symbol. Etc. Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for writing in long/short, since that is the more professional way to say it. I like to use the lingo where possible. Order Type – Market or Limit – When you entered the trade was it a market order or limit order? Some people can enter a trade using a combination of market and limit orders. If you enter a trade for $1 million half of which was market order and the other half was limit order, then you can write in $500,000 Market, $500,000 Limit as a bullet points. Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5 gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write in 1,000 shares. Etc. Entry Price – The entry price you received entering your opening position. If you entered at multiple prices, then you can either write in all the different fills you got, or specify the average price received. Entry Date – Date that you entered the position. For example January 23, 2012. Or you can write in 1/23/12 . Entry Time – Time that you opened the position. If it is multiple positions, then you can specify each time for each various fill, or you can specify the time range. For example if you got $100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00 – 3:30 AM EST. Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you write in the pips. If you are trading the S&P futures contract, then write in the number of points. If you are trading a stock, then write in how many cents or dollars your stop is away from your entry price. % Risk – If you were to get stopped out of the trade, how much % loss of your equity is that? This is where you input your risk per trade expressed in % terms if you use such a position sizing method. If you risked 0.50% of your account on the trade, then put in 0.50% Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000 dollars Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is an interesting column because you can look at it after the trade is finished and see how close you were or how far removed from reality your initial projections were. Potential Win Rate – This is another column that I only sometimes fill in. You write in what you believe the potential win rate of this trade is. If you were to place this trade 10 times in a row, how many times do you think you would win? I write it in as percentage terms. If you believe the trade has a 50% chance to win, then write in 50%. Type of Inefficiency – This is where you write in what type of inefficiency you are looking to capture. I use the word inefficiency here. I believe it is important to think of trading setups as inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market being mispriced, then you will think about the reasons why the market is mispriced and why such market expectations for example are out of alignment with reality. In this category I could write in different types of trades such as fading the stops, different types of news trades, expecting stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do not write in all the reasons why I took the trade in this column. I do that in another column. This column is just to broadly define what type of inefficiency you are looking to capture. Chart Time Frame – I do not use this since all my order flow based trades have nothing to do with what chart time frame I look at. However, if you are a chartist or price action trader, then you may want to include what chart time frame you found whatever pattern you were looking at. Exit Price – When you exit your trade, you enter the price you received here. Exit Date – The date you exited your trade. Exit Time – The time you exited your trade. Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours amount. Anything past that and I write it as days or weeks as appropriate, etc. Pips the trade went against you before turning into a winner – If you have a trade that suffered a draw down, but did not stop you out and eventually was a winner, then you write it how many pips the trade went against you before it turned into a profitable trade. The reason you have this column is to compare it to your stop loss size and see any patterns that emerge. If you notice that a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out to be a profitable trade, then you can further refine your entry strategy to get in a better price. Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips slippage. In other words you lost 2 pips as slippage. This is important for a few different reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they do, perhaps you can get better stop loss placement, or use it as useful information to find new inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you are trading the same system with different brokers, then you can record the slippage from each one and see which has the lowest slippage so you can choose them. Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at 1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for profit and red for loss. Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green for profit and red for loss. Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I color code the box background to green for profit and red for loss. Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss is greater than the amount you risked, then I do write it in this column. For example lets say you risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would write it in as a -3R. What Type of trading loss if the trade lost money? – This is where I describe in very general terms a trade if it lost money. For example, if I lost money on a trade and the reason was because I was buying in a market that was making fresh lows, but after I bought the market kept on going lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy on a retracement, but the market makes a deeper retracement or trend change, then I write in “tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various ways I use are: • Trying to pick a bottom • Trying to pick a top • Shorting a bottom • Buying a top • Shorting a ret and failed • Wrongly predicted news • Bought a ret and failed • Fade a resistance level • Buy a support level • Tried to buy a breakout higher • Tried to short a breakout lower I find this category very interesting and important because when performing trade journal analysis, you can notice trends when you have winners or losing trades. For example if I notice a string of losing trades and I notice that all of them occur in the same market, and all of them have as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the market continued to go higher after I was stopped out, then I realize that I was correct in the move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of trying to buy a fresh breakout. That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or distractions on the day I placed the trade. For example if you are dead tired and place a trade, then write in that you were very tired. Or if you place a trade when there were five people coming and out of your trading office or room in your house, then write that in. If you placed the trade when the fire alarm was going off then write that in. Or if you place a trade without having done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness that threw you off your game. That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you placed your trade. If you had complete peace and quiet, write that in. If you completed all your daily habits, then write that in. Etc. Whatever you believe was a possible strength during the day. How many Open Positions Total (including the one you just placed) – How many open trades do you have after placing this one? If you have zero open trades and you just placed one, then the total number of open positions would be one, so write in “1.” If you have on three open trades, and you are placing a new current one, then the total number of open positions would be four, so write in “4.” The reason you have this column in your trading journal is so that you can notice trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a lot of open positions at the same time? Do you have a winning streak when the number of open positions is kept low? Or can you handle a lot of open positions at the same time? Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips. Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars. Commission Cost – Here you write in the total commission cost that you incurred for getting in and out of the trade. If you have a forex broker that is commission free and only gets compensated through the spread, then you do not need this column. Starting Balance – The starting account balance that you had prior to the placing of the trade Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or need to pay out interest depending on the rollover rates. Or if you bought a stock and got a dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write that in. Ending Balance – The ending balance of your account after the trade is closed after taking into account trade P&L, commission cost, and interest/swap. Reasons for taking the trade – Here is where you go into much more detail about why you placed the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10 bullet points. What I Learned – No matter if the trade is a win or loss, write down what you believed you learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or loss. What I learned after Long Term reflection, several days, weeks, or months – This is the very interesting column. This is important because after you have a winning or losing trade, you will not always know the true reasons why it happened. You have your immediate theories and reasons which you include in the previous column. However, there are times when after several days, weeks, or months, you find the true reason and proper market belief about why your trade succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am not saying that I am thinking about trades I placed ten months ago. I try to forget about them and focus on the present moment. However, there will be trades where you have these nagging questions about they failed or succeeded and you will only discover those reasons several days, weeks, or months later. When you discover the reasons, you write them in this column.
Hard. Following up on my post about trading economic news, here are some hard numbers about news releases. If you can't be bothered to read any further, just know that a high S value means there is money to be made by trading the release of that economic metric. I collected historical data (consensus and actual) for each of these economic metrics from January 2018 to the present. These are mostly monthly metrics; one is quarterly, one is biweekly, and one is weekly. I did this manually from an economic news aggregation website because I'm too cheap to pay for exported data. I also noted whether each release was the primary (or only) news being released at that precise moment or whether there were other important economic metrics being released at the same time. Then I wrote software to fetch 2 minutes of USD/JPY price data (in 5 second candles) starting at the time of each release and correlated each candle to the "surprise" in the metric (the difference between the consensus and the actual). That produced data for each metric that looks like this and give you an idea how reliably the news predicts the short-term price move. Next the software went back through the price history and measured the "coordinated movement" of the currency pair during each candle. By that I mean it measured the size of each candle in pips and then set the sign to be positive if its moving in the same direction as the first candle or negative otherwise, and averaged all those numbers together. These charts look like this and give you an idea how dramatically the price moves in response to the news. Then, for each candle, the absolute value of the correlation is multiplied against the coordinated movement, creating a "tradeability" score. The idea is that a strong (positive or negative) correlation and a strong coordinated movement yields a high score, and either a weak correlation or a small price movement yields a low score. These charts look like this. Finally, for each news release I measured the maximum value of the correlation (R) and the maximum value of the tradeability score (S). Since I don't have access to anything with finer granularity than 5 seconds, it's no surprise that candle 0 had the maximum correlation and maximum tradeability for each metric. I did this process twice for every metric: first over all releases and second over only those releases that were the primary or only release happening at that moment. I kept the results from the one that returned the better net maximum tradeability score. The net maximum tradeability score is just the product of the maximum tradeability score and the number of releases being considered, either all of them or some smaller number. (This helps avoid bias in the results for metrics that are often released at the same time as other metrics.) In the results linked at the top of this post, the metrics are ordered by decreasing maximum tradeability score (S) with maximum correlation (R) also shown. Remember, R = +1 means perfect positive linear correlation, R = -1 means perfect negative linear correlation, and R = 0 means no correlation. S values less than 3 are essentially untradeable due to the spread. A couple notes:
Non Farms Payroll, one of the most closely watched economic indicators, is the most tradeable by far. Although not shown here, the correlation is even higher (0.8xx) if you omit those releases that occur simultaneously as other news, but because of the strong correlation and high pip movement it's better overall to consider all NFP releases.
Retail Sales is tradeable, but Personal Income and Personal Spending is not. This was a surprise to me, I haven't traded any of these metrics before. I'll have to look into what is exactly in each one to understand why this is.
With the exception of Michigan Consumer Sentiment, all of these releases are correlated with the price movement, but many of them aren't practical to trade because the movement is too small.
The negative sign and weak correlation on Inflation Rate MoM is a bug, I think. I got a different (positive) number when I ran it earlier, but then I was on a conference call while reformatting the data and I may have done something dumb. I'll go back and review it.
It takes me about 15 minutes to scrape 2 years of monthly data by hand and type it up, and then the software takes about 10 seconds to run per metric. If there are regular forecasted economic releases that you'd like to see correlated and scored, let me know! I can do other currency pairs and other country's economic news as well, it's just a matter of data collection.
Seems like there is heightened danger of large low liquidity session move.
We have a lot of things threatening major S/R levels through yesterday, and then them having retracements into the early Asia session When we have strong areas to break, we should understand this is going to usually take something big or unusual. It is usually news. News gives the market a reason to make big moves. Another reason the market makes big moves is low liquidity. Often unexplained large moves during thin trading sessions. We see this periodically in the Forex markets which I follow closely, and I am sure it will happen in other markets, too. In the Forex markets (I assume others), the common preludes to it are either a strong trend that is low in the pull back area and then makes a blitz breakout. This is usually 500 - 800 pips (huge), and also usually a false breakout. When I see these moves, I am usually looking to fade them. Price often reverses strongly. What we usually see before this is a two leg move against the prevailing action, and then excessively strong counter move. It is very common to see these moves spiking out huge weekly SR level. It seems suspiciously like GBPJPY is setting up for one of these (probably other yen pairs, maybe multiple currencies). If this is to make one of these massive spike out moves on the weekly chart, it will likely be 1.61 extension of the range from the last low made (125 - 155). Which is a hell of a drop ... I am Adjusting my targets on GBPJPY just in case this should happen. If there is no super volatile swing and we move downwards, I will trail and maybe adjust targets to be closer again. For the time being, I've switched them to be spread from 105 - 115 - maybe there will be a jackpot swing. Some people call it getting lucky. If this happens, I will be looking for a bottom around 103. If we start to move up from there I think we can trend upwards for some weeks. I'll look to accumulate buys into the start of this move. Everything has had a really "Hmmm" feeling about it for a while in the markets, without anything major happening. That makes me suspicious. Hmmm! GBPJPY target adjusted to 105.
In early deals today, the rupee traded at 71.38 a dollar, up 0.10% from Monday’s close of 71.44 Asian currencies were trading lower https://preview.redd.it/nefagk4ucgd41.jpg?width=1200&format=pjpg&auto=webp&s=761f8ada6aedc97ca9b9b6d2a81f384fb4a70328 The Indian rupee on Tuesday strengthened marginally against the US dollar after international crude oil prices fell on demand worries. In early deals today, the rupee traded at 71.38 a dollar, up 0.10% from Monday’s close of 71.44. The Indian unit had opened at 71.38 a dollar. Brent crude slipped on concerns that demand will be hit as the novel coronavirus spread rapidly in China and other countries. Global stocks and currencies also fell on concerns over the spread of the new virus. China on Tuesday reported a further increase in both the death toll and number of infected people from the virus. The director-general of the World Health Organization is visiting Beijing to assess China’s response to the disease as the death toll topped 100 and the number of cases soared overnight. Traders also focus on the US Federal Reserve meeting due today and tomorrow where it is expected to keep rates unchanged. Traders will also eye the Union Budget on 1 February for cues on fiscal deficit and government borrowing targets. Analysts expect the government may widen fiscal deficit for the current fiscal to 3.7% from 3.3% projected. The government may keep deficit target at 3.5% for next year. “All of this shall keep the rupee on upward bias but quantum of move shall remain low as people wait for budget before taking long bets. The further course of the pair shall be clearer after the Budget announcement as the markets will react differently to the various measures which shall be announced by the Government,” said CR Forex Advisors in a note to its investors The yield on the 10-year government bond was at 6.553% compared with its previous close of 6.556%. Bond yield and prices moves in opposite directions. The benchmark Sensex was at 41,150.72, down marginally. Year to date, the index has lost 0.24%. Year to date, the rupee has strengthened 0.06%, while foreign investors have bought nearly $2.23 billion in Indian equities and sold $1.44 billion in debt. Asian currencies were trading lower. Malaysian ringgit was down 0.62%, Thai Baht 0.26%, Indonesian rupiah 0.25%, Taiwan dollar 0.25%, Japanese yen 0.07%. China renminbi was up 0.46% and China Offshore 0.11%. The dollar index, which measures the US currency’s strength against a basket of major currencies, was at 97.948, down 0.01% from its previous close of 97.956. Watch our Stock Market Target Calls Quality, Track sheet – Click Here or Subscribe us for Stock Market Trading >>>>Stock Cash Tips
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:
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.
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.
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.
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.
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.
XTRD is a technology company that are introducing a new infrastructure that would allow banks, hedge funds, and large institutional traders to easily access cryptocurrency markets. XTRD is launching three separate products in sequential stages to solve the ongoing problems caused by having so many disparate markets. Firstly a unified FIX API followed by XTRD Dark Pools and finally the XTRD Single Point of Access or SPA. Our goal is to build trading infrastructure in the cyptospace and become one of the first full service shops in the cryptocurrency markets for large traders and funds.
A single FIX API for trading across all connected exchanges
A robust GUI for manual cross execution on all crypto markets
A large liquidity pool, based on orders books from all connected exchanges
Best prices and best top of book execution net of fees
Low transaction fees
99.99999% reliability and uptime
Parent/child orders on multiple exchanges to minimize individual market impact
Advanced order types common in the equity and FX trading space
Establish XTRD as a premier market-making entity to mitigate spreads and increase liquidity in the cryptocurrency space
Derivative trading - XTRD plans to connect to LedgerX (US based, approved by the CFTC) for cryptocurrency options and swaps to offer unified hedging and derivate trading strategies
Robust, US based technical support
Reliable and familiar deployment methods for institutions:
IPSec as a connectivity option across the Internet
Cross connection options
Collocation space or VPS (Virtual Private Servers) that clients can rent from XTRD
UAT/Sandbox environment for testing
What are the industry issues?
COMPLEX WEB OF EXCHANGES. A combination of differing KYC policies, means of funding, interfaces and APIs results in a fragmented patchwork of liquidity for cryptocurrencies. Trading in an automated fashion with full awareness of best pricing and current liquidity necessitates the opening and use of accounts on multiple exchanges, coding to multiple API’s, following varying funding and withdrawal procedures. Once those hurdles are cleared, market participants must convert fiat currency to BTC or ETH and then forward the ETH on to an exchange that may not accept fiat, necessitating yet another transaction to convert back to fiat. Major concerns for market participants range from unmitigated slippage and counterparty risk to hacking prevention and liquidity. HIGH FEES. Execution costs are even more of a factor. Typical exchange commissions are in the 0.1% – 0.25% range per transaction (10 to 25 basis points), but the effective fees are much higher when taking into bid and ask spreads maintained by the exchanges. As most exchanges are unregulated, there is generally no central authority or regulator to examine internal exchange orders that separate proprietary activity from customer activity and ensure fair pricing. THIN LIQUIDITY. A large institutional order, representing a sizable percentage of daily volume can move the market for a product, and related products in an exchange by a factor of 5-10%. That means a single order to buy $1,000,000 worth of bitcoin can cost an extra $50,000-$100,000 per transaction given a lack of liquidity if not managed correctly and executed on only one exchange. By way of comparison, similar trades on FX exchanges barely move markets a fraction of a percent; those price changes cost traders money, and deter investment.
What are the XTRD solutions?
FIX API An API is an “Application Programming Interface”, a set of rules that computer programs use to communicate. FIX stands for “Financial Information eXchange”, the API standard used by most financial organizations as the intermediary protocol to communicate amongst disparate systems such as market data, execution, trade reporting, and order entry for the past 25 years.XTRD is fixing the problem of having 100 different APIs for 100 exchanges by creating a single FIX based API for market data and execution – the same FIX API that all current financial institutions utilize.XTRD will leverage our data center presences in DC3 Chicago and NY4 New Jersey to host FIX trading clients and reduce their trading latencies to single milliseconds, a time acceleration of 100x when it comes to execution vs internet. More infrastructure and private worldwide internet lines will be added in 2018 and beyond to enable secure, low latency execution for all XTRD clients, FIX and PRO. XTRD PRO XTRD PRO is a professional trading platform that will fix the basic problems with trading across crypto exchanges – the need to open multiple web pages, having to click around multiple windows, only being able to use basic order types, and not seeing all your positions, trades, and market data in one place.XTRD PRO will be standalone, downloadable, robust end-to-end encrypted software that will consolidate all market data from exchanges visually into one order book, provide a consolidated position and order view across all your exchange accounts, and enable client side orders not available on exchanges – keyboard macro shortcuts, VWAP/TWAP, shaving the bid and offer, hit through 1% of the inside, reserve orders that bid 100 but show 1, SMART order routing to best exchange and intelligent order splicing across exchanges based on execution costs net of fees, OCO and OTO, many others. XTRD SPA XTRD SPA is the solution to bridge cross-exchange liquidity issues. XTRD is creating Joint Venture partnerships with trusted cryptocurrency exchanges to provide clients on those exchanges execution across other exchanges where they do not have accounts by leveraging XTRD’s liquidity pools.An order placed by a client at CEX.IO, XTRD’s first JV partner, can be executed by XTRD at a different exchange where there may be a better price or higher liquidity for a digital asset. Subsequently, XTRD will deliver the position to CEX.IO and then CEX.IO will deliver the execution to the client, with XTRD acting as just another market participant at the CEX.IO exchange.XTRD does not take custody of funds, we are a technology partner with exchanges. All local exchange rules, procedures, and AML/KYC policies apply. XTRD DARK Institutions and large market participants who have large orders of 100 BTC or more generally must execute across multiple markets, increasing their counterparty risk, paying enormous commissions and spreads, and generally having to deal with the vagaries of the crypto space. Alternatives are OTC brokers that charge multiple percents or private peer-to-peer swaps which are difficult to effectuate unless one is deeply in the space.XTRD is launching XTRD DARK – a dark liquidity pool to trade crypto vs fiat that matches buyers and sellers of large orders, discreetly and anonymously, at a much lower cost. Liquidity is not displayed so large orders do not move thin markets as they would publicly. The liquidity will come from direct XTRD DARK participants as well as aggregation of retail order flow into block orders, XTRD’s own liquidity pools, connections with decentralized exchanges to effectuate liquidity swaps, and OTC broker order flow.XTRD is partnering with a fiat banking providebroker dealer to onboard all XTRD DARK participants for the fiat currency custody side with full KYC/AML procedures.
TOKEN USAGE. XTRD will generate the XTRD utility tokens via smart contact during the Token Generation Event (TGE) in Q1 of 2018. The XTRD utility token will be utilized on the XTRD network by market participants to pay for execution, VPS, market data, software licensing, and other fees. Market participants will be able to purchase XTRD tokens directly from XTRD’s liquidity pool. The TGE will be preceded by a private institutional sale and a SAFT (Simple Agreement for Future Token) Platform based presale. The XTRD token will be fully ERC20 compliant to ensure that it functions properly on the Ethereum blockchain, similarly to other ERC20 tokens.
XTRD TOKEN LIQUIDITY AGGREGATION. The XTRD token will be used to create liquidity in the overall cryptocurrency market. Along with the utility of the XTRD token to pay for fees on the XTRD platform of products, most of the XTRD token revenue will be used to increase the inventory of other cryptocurrencies that are in demand by our customers. This will create points of liquidity for our customers to access across the worldwide crypto exchange ecosystem. These liquidity points will be created using XTRD tokens that are paid back into the system for fees. 70% of funds raised in the token sale will be used for liquidity aggregation.
XTRD STAKING. Discounts of 25% on XTRD services (execution, colocation, market data, software licensing) will be available for token holders in general and discounts of 40% on XTRD services will be available for token holders who maintain an average monthly stake of at least 50,000 XTRD tokens. Fiat will be accepted at no discount to par. Execution fees will generally be set as a percentage of the gross trade amount, based on a combination of factors such as liquidity, the pair being traded, market conditions at the time of the trade, and so on. All charges will be marked to market and remain constant, no matter the value of the XTRD token (a $10 charge will be 2 XTRD if $5 each or 0.5 XTRD if $20 each).
TOKEN LEGAL CONSIDERATIONS. XTRD tokens are ERC20 compliant utility tokens functioning on the Ethereum blockchain. The value of XTRD is derived purely from serving as a medium of payment for services by market participants in the XTRD trading ecosystem. XTRD tokens confer no voting rights, profit participation, equity, ownership of intellectual property, revenue sharing, rights to dividends, transfer of ownership upon company sale, control of company assets, or any decision-making ability regarding XTRD or its’ operations. XTRD tokens are not designed for speculation. In summary, XTRD tokens are not securities. XTRD Digital Assets, Inc has obtained a qualified legal opinion concurring that XTRD tokens are not to be considered “securities” under applicable U.S. securities laws given their failure to meet all prongs of the Howey Test.
Who is XTRD intended for?
XTRD is mainly aimed at major institutions, hedge funds, algorithmic traders who are currently unable to enter the crypto markets. These firms include companies such as Divisa Capital run by XTRD Advisor Mushegh Tovmasyan.
More information will be added to this thread as the project develops. We are currently looking for key community members to assist in building out this thread. If you are interested please email [[email protected]](mailto:[email protected])
FXCM CEO Drew Niv Discusses Firm's Future after the CHF Crisis
Hi Everyone, Our CEO Drew Niv held a Q&A with Forex Magnates which will answer many questions we have received over the past couple of weeks http://forexmagnates.com/exclusive-fxcm-inc-ceo-drew-niv-discusses-firms-future-after-the-chf-crisis/. Please understand that some questions I can't answer since we are a publicly traded company and it may be material information, but we will get to all questions in due time. What happened on January 15th after the SNB announcement? What was the immediate impact of the SNB announcement on the company’s systems? At the time of the SNB announcement over 3,000 FXCM clients held slightly over $1 billion in open positions on EUCHF. Those same clients held approximately $80 million of collateral in their accounts. As you know this was the largest move of a major currency since currencies started floating 1971. The EUCHF move was 44 standard deviation moves, while most risk management systems only contemplate 3-6 standard deviations. The moved wiped out those clients’ account equity as well as generated negative equity balances owed to FXCM of over $225 million. We believe that the FXCM system operated properly during this event. The caveat of our no dealing-desk execution system is that traders are offset one for one with a liquidity provider. When a client entered a EUCHF trade with FXCM, FXCM Inc. had an identical trade with our liquidity providers. During the historic move, liquidity became extremely scarce and shallow, which affected execution prices. This liquidity issue resulted in some clients having a negative balance. While clients could not cover their margin call with us we still had to cover the same margin call with our banks. When a client profits in the trade FXCM gives the profits to the customer, however, when the client is not profitable on that trade FXCM Inc. ends up having to pay the liquidity provider. FXCM ended with a regulatory capital shortfall. Accordingly, FXCM needed to get a loan to cover this balance, which it did. For anyone that still thinks FXCM is running an FX dealing desk, we have now demonstrated that such is not the case. Why do you think many people traded EUCHF with FXCM? Because we are a no dealing-desk broker and offset each trade one-for-one with our liquidity providers, and only make money on trades not customer losses. We published a study a few years ago called “traits of successful traders” that looked at FXCM traders over a long period of time and their general behavior to find what was destructive behavior to stay away from and what worked for clients. The study focuses on what the majority of profitable traders did to increase their odds of success. What the study found was that traders who traded during quiet range-bound market hours like Asian hours OR that traded rang- bound low volatility currency pairs tended to be more profitable. Obviously many of our competitors who are on the opposite side of their clients’ trades did not find this trade to be helpful to their bottom line, as they lose money when traders profit. We saw many of the dealing desk firms begin to increase overnight rollover cost as well as raise margin requirements to get these trades off their system and that’s why FXCM and other STP brokers had much bigger exposure. Why did FXCM require an emergency loan with such tough terms? As a regulated broker we are required to notify our regulators in a timely manner when any event occurs that may be deemed sensitive to clients. When we notified the regulators, they required FXCM Inc.’s regulated entities to supplement their respective net capital on an expedited basis. We explored multiple debt and equity financing alternatives in an effort to meet the regulator’s deadline. The deal we ended up doing with Leucadia was the only deal that could and would happen in the very short timeframe we were given by the regulators. The CEO and the president of Leucadia were here in the office working on the deal. It was a tall order for someone outside of the FX industry to come in and write a $300 million dollar check. This was the type of thing only top management could do. But they see the sustainability of FXCM, and that was everyone’s end goal. We really are very thankful to Leucadia. The deal enables us to live and fight another day and gives us time to build shareholder value in the future. You said you plan to pay back the loan with proceeds from sales of non-core assets so what are non-core assets and will that be enough? We announced last week that we anticipate that with the proceeds from the sale of some non-core assets and continued earnings we can meet both near and long-term obligations of our financing, while preserving the strength of our franchise. It’s widely known and understood that FXCM’s core business has always been retail FX; It is the majority of FXCM’s revenue. However, over the past few years, the company has spent over $250 million dollars making strategic acquisitions building up our non-core businesses, mainly the institutional side as we tried to diversify the firm. We are now looking to sell some of those non-core assets; But, we are not in a rush and are looking to get the highest valuations for these assets. We are considering closing or selling smaller regulated entities that require large sums of capital requirements, but that offer increasingly low return on capital. The latter move allows us to free up significant amounts of cash that is currently trapped. We believe that in the near term we can pay down a majority of the loan. That’s our goal. What happens after 90 days according to your agreement with Leucadia? The agreement says we need to pay back $50 million of the loan along with $10 million in fees in 90 days. If we don’t pay that $60 million, we will be assessed an additional $30 million in fees when the loan is due in 2017. So we are going to pay our $60 million and hopefully more in 90 days and then go from there. To be clear, the financing does not force us to do anything at 90 days. Will you be selling FXCM? I absolutely do not plan on selling FXCM. Like I said we will be selling non-core assets but no I don’t plan on selling FXCM. That is also why we implemented the shareholder rights plan to prevent a hostile takeover. FXCM has been independent for over 15 years and we intend to stay that way. Are client funds safe with FXCM? Yes. As we have said, we believe FXCM’s systems operated properly during this event. I’ll stress it here again, FXCM is not insolvent, has not filed for any form of bankruptcy, and is in compliance with all regulatory capital requirements in the jurisdictions in which it operates. The financing we received from Leucadia has strengthened our balance sheet and gives us the opportunity to grow our core business. With Leucadia, our pockets are even deeper and we aren’t going anywhere. Additionally, all of our regulated entities except the U.S. provide clients with segregated funds. All of our global client base in our regulated entities minus US clients would be protected under a bankruptcy. Our UK regulated entity through the FSCS even offers clients £50,000 per person in protection. Canada has similar insurance for retail traders of up to $1 million CAD. What are the relationships like with your liquidity providers after this event? Many of these relationships are long-standing relationships. The entire industry took a hit here. They understand what happened. Most everyone halted trading in EUCHF, but half of our liquidity providers kept providing prices in all other pairs the entire time. Half of the LPs did stop pricing FXCM on Friday January 16th, but most have returned. We presently only have two providers that have not yet returned, but we are optimistic that they will soon return. There is still plenty of liquidity on the platform. Most banks and other liquidity providers have been working very closely with the FXCM team. Where do you see FXCM in six months from now? We will be well on our way to paying down the loan and continue to grow our core franchise. FXCM still has the best platform for retail traders, we still provide the fairest and more transparent execution in the business and we have a slew of new trading indicators and applications that no one in the space is even considering offering their clients. We’ll still be here; We may just look a little different. Here are a few things we are working to get out in the next six months: Single Share CFDs – We are going to be offering the top 200 or so most traded US, UK, French and German stocks. We are going to offer these shares on the equivalent of NDD in FX. Improving CFD execution – Sharpening execution capabilities to match some of the benefits of our FX capabilities for Index and Energy CFDs to remove restrictions on stops and limits, allowing APIs, along with tighter spreads. Market Depth in FX – clients will be able to see the depth of liquidity which will provide them more transparency with execution quality and allow them to make more informed trading decisions. Real Volume indicators – clients will have a real volume ticker of all trades done on the FXCM system, which will show clients’ actual order flow; they can see directional volume, so long, short, net or total volume as well as balance on volume per instrument; and finally we have an indicator to show the ratio of real volume divided into transactions per period. These indicators will let clients compare our trading activity against other independent providers who also publish volumes like the CME, and clients will be able to compare execution. Sentiment Index – We will be providing FXCM’s client sentiment data in real-time as a default on the platform so clients can see where the rest of the clients are. These software updates and platform features are bringing much more transparency to the retail FX market aimed at improving the client experience in the market. With your stock price so low, is that an indication of the health of your company? While it is true that FXCM’s stock price dropped after the events of January 15th, we do not believe that the present stock price is indicative of the health of the company. The stock price does not impact our day to day operations as a company. With the injection of cash from the Leucadia financing, the core retail business is functioning completely as normal. We have excess regulatory capital in all our regulated entities and never had to pause trading or interrupt client’s trading experience. As we announced in our business update, daily volume on the retail side was on pace to set an all-time company record. Why didn’t the dealing desk brokers have these types of losses? A dealing desk broker does not have offsetting trades. If the customer is long a trade the broker is short that trade, so when the customer makes a profit on a trade the broker loses. When the customer loses on the trade then the broker is profitable. Obviously on January 15th most clients lost money so the dealer was very profitable. Even for clients that blew through their stops and had negative balances with these firms, the dealer doesn’t have a liquidity provider that it owes money to. They can essentially act like the negative balances never happened and enjoy their profits. What is FXCM changing with regards to their risk management systems? The primary change we will be making is removing currency pairs from the platform that carry significant risk due to over-active manipulation by their respective government either by a floor, ceiling, peg or band. Given what happened with EUCHF the industry is now looking very hard at any potentially similar issues, especially given the increased geopolitical risks in Southern and Eastern Europe. We will also be raising margin requirements for other pairs as well. Some of these changes will be permanent while others may change as geopolitical risks change. The pairs we are removing from the platform were not material to our volume or our revenue. Some of the currencies we are removing include DKK, SGD, HKD, PLN and CZK. FXCM made some material changes in margin requirements for clients. Are those changes permanent or temporary in nature? When you look at some of the changes we made to margin requirements, look at them in three different categories: 1. Some of the changes we made were required by regulators, and therefore we had to comply with these changes. 2. When you look at emerging market currencies, the banks and our liquidity providers were raising margin requirements to eliminate any potential risk of large gaps. 3. Previously liquid Western country currencies, like the DKK or CHF, which now carry risk because they are manipulated currencies, have become less liquid. Despite what the media thinks about leverage, we know the clients like it and want more, it’s the number 1 or number 2 request our sales staff has been getting the past week. We understand the importance of this to our clients but we just need to be smart about it moving forward. What is Black Thursday’s long-term impact on the retail foreign exchange industry? In what ways has it changed the direction the industry is going? Banks are raising their margin requirements, too. A lot of these currencies that carry any type of geopolitical risk with them are going to lose support and liquidity. Investors always had little faith in emerging market currencies but always believed in Western countries’ currencies even if they were manipulated in some way, but that’s gone. Switzerland is a Western country and if they can pull the shenanigans they did with their currency, what’s to say other western countries won’t do the same? The market is going to be very sceptical as they can only stand to lose; The risk is just too high now. It’s too bad really as these pairs historically had low volatility, were range-bound and were very profitable trades for clients.
This includes a very low starting spread on forex currency pairs as well as 16 indices from around the world that can be traded from 0.3 pips spread in spread betting. 15 of these indices are also available for fixed spread trading if you select them for futures trading. City Index is again a well-regulated and trusted broker with this regulation coming from the FCA in the UK. With so many ... And later, I’ll uncover the pairs that are affected by changing commodity prices as well as a few of the safe haven currencies. Don’t know what those are? No problem. By the time you finish this section, you’ll be a currency guru! Major Currency Pairs. Major currency pairs are to the Forex market what Apple and Amazon are to the stock market. Because these trades are so small, the importance of choosing low-spread currency pairs is clear - if a spread is too large, there will be no profit left over once the trade ends. Because the focus is on such small trades, this is a very popular trading style for many traders, as it creates many opportunities within a single day. Our Top Low Spread Scalping Strategies. When it comes to taking ... Not an easy task, right? Fortunately, Forex brokers do these calculations for you. They determine the size of the spread, which may constitute their profit. Everything is now automated! Some cross combinations are also low spread currency pairs. Range of Currency Pairs. Cross pairs belong to three categories. First, there are combos with the ... Moreover, the spread on EUR/GBP is 2.5 pips, while GBP/USD has a spread of 1.4 pips.Occasionally you’ll see that brokers change the spread and allow you to trade with extremely low costs, so ... The Most Volatile Currency Pairs Table (data from 01-06-20) The table shows that today the most volatile Forex pairs are exotic ones. Namely, USD/SEK, USD/TRY, and USD/BRL. All of them move on average for more than 400 points per day. The volatility of the major currency pairs is much lower. Only GBP/USD moves for more than 100 points per day. The same applies to low spread currency pairs that are commonly traded on Forex. Low spread is very important for frequent traders for which every part of the pip movement makes a difference. Let's start with the most commonly traded currency pair, EUR/USD. EUR/USD pair, spreads from 0.1 pips! Spread / Daily Range = 1.5% (the lower the better) The most traded pair with around 20% of total ... To save you from constant calculations, the low spread forex brokers charge between 0.1-1 pips for all major currency pairs, 1-3 pips for most crosses, and 1-3 pips for the popular commodities. These are the average spreads you can expect during regular trading hours from the tight spread forex brokers. The spreads may widen briefly at the close of the market or during the release of high ... Establishing a Baseline . To understand what we are dealing with and which pairs are more suited to day trading, a baseline is needed. For this, the spread is converted to a percentage of the ... Low Spread Currency Pairs to Trade on Forex Market. Here are some low spread currency pairs that traders consistently show trust in. EUR/USD. The EUR/USD has a spread or daily range of 1.5%, which ...
Today we're going to learn about Forex spreads.What is the Forex spread? The spread is the difference between the various buying and selling prices on offer for any particular currency pair. The ... Tap to unmute. Free Class. go.stocknavigators.com/et-webinar. If playback doesn't begin shortly, try restarting your device. You're signed out. Videos you watch may be added to the TV's watch ... Forex scalpers require a trading account with small spreads, low commissions, and the ability to post orders at any price. All these features are typically only offered in ECN forex accounts ... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. LOW Spread Forex Brokers 2019 Best Broker 2019: Hey guys, This is Shoaib Khan here from fxforever.com and today in this video I'll tell you, which broker has a very low spread than other brokers ... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.