10 Free Sample FOREX Presentation Templates - Printable ...

Generate income in your #forextrading! Start to use our #Signals from #Traderpulse. Here is a sample for the performance that indicated 28 #pips in #USDCAD. Download it FREE now and join with the subscribers who make #regularincome. https://traderpulse.com/forex-trade-signals/#pricing

Generate income in your #forextrading! Start to use our #Signals from #Traderpulse. Here is a sample for the performance that indicated 28 #pips in #USDCAD. Download it FREE now and join with the subscribers who make #regularincome. https://traderpulse.com/forex-trade-signals/#pricing submitted by traderpulse to u/traderpulse [link] [comments]

[question] What is the source and name of this kind of chart candle? Is it just for stocks or also for forex? Who uses it? Is it available to ‘civilians’? (see comments for sample link)

submitted by BronxLens to Trading [link] [comments]

[OFFER] Article Writing Service....$1 per 100 words

I will write articles for $1 per 100 words. I cover a wide variety of topics except for Technology, Adult and Forex. Samples of my work are available upon request.
submitted by Kathrynj1996 to slavelabour [link] [comments]

Blood Samples of Successful Forex Traders Have These Traits!

Blood Samples of Successful Forex Traders Have These Traits! submitted by Wetalktrade to wetalktrade [link] [comments]

Blood Samples of Successful Forex Traders Have These Traits!

Blood Samples of Successful Forex Traders Have These Traits! submitted by Wetalktrade to u/Wetalktrade [link] [comments]

I have an 89% win rate over 18 trades, with a 27% profit. How many trades should I do before going live?

So I've been doing some scalping on pairs with high spreads in cryptocurrencies previously with great success, but I finally figured I'd give forex a real shot (was into it a few years ago, but didn't go live). Last time I scalped in crypto, I had 14 out of 14 successful trades, but only about a 10% profit. I haven't heard about anyone scalping the way I do in crypto, but I find my method extremely reliable when I just find the right pair to trade. This is just to say I have some experience with trading, but I'm by no means an expert.
Now, I've been scalping the past few days with a paper trading account on TradingView. I've mostly been trading the US Currency Index, S&P 500 and some crypto pairs thus far. I'm scalping on the 1m time frame using bollinger bands and looking at trends, price action and stoch RSI for confirmation on my entries. I started out with 100k a few days ago and first doubled my account to around 200k and then did a 1,3 mill trade, but I was running like 500-1000 USD per pip, so if the market turned against me, I'd be liquidated real quick. While the trades were good, I figured I was disconnected from the risk I was taking because it isn't real money, and I wanted to try doing more conservative and realistic trades, so I reset the account yesterday.
Edit (more trades done): Since the account was reset, I've done 45 trades where I've lost on two of them. If my math serves me right, that's about an 95.5% win rate. I'm up around 77.5% currently. I did lose 1500 on one trade, but that's because I by mistake placed a sell order when I was supposed to add another buy order double down on my long position, so I'm not counting that one in (but I'm not counting the 1500 I lost as profit either). I have a very strict strategy I'm sticking to when doing these scalps. I realize 45 trades is not a huge sample size, but that is kinda why I'm asking:
How many trades should I do on the paper trading account before I should run it live with confidence?
For anyone who might be interested, here's my account history: https://imgur.com/a/zuRSWwd
Edit: here's 6 trades more: https://imgur.com/a/CmbyU6n
Edit2: some more trades: https://imgur.com/a/q9xqVyq
Edit3: I think we're up to 45 trades now: https://imgur.com/a/CsWZEN7
submitted by imawfullyaverage to Forex [link] [comments]

Trying it out first before i can share. A Forex bot that trades your money on the broker, a traditional broker not crypto.. nobody have access or hold your capital. 3 days have passed and I’m aiming for 28 days so i have a better sampling. You can watch and follow the progress here

Trying it out first before i can share. A Forex bot that trades your money on the broker, a traditional broker not crypto.. nobody have access or hold your capital. 3 days have passed and I’m aiming for 28 days so i have a better sampling. You can watch and follow the progress here submitted by taomarx to u/taomarx [link] [comments]

Forex Sentiment Data Overview, it's Application in Algo trading, and Free Sample Data

From Commitment of Traders (COT) to the Daily Sentiment Index (DSI), to the Put/Call ratio and more, sentiment data has long been highly sought after by both professional and retail traders in the mission to get an edge in the market. Equity and futures traders can access this market data relatively easily due to the centralization of the market they are trading.

But what about Forex traders? There is no single centralized exchange for the Foreign Exchange market therefore sentiment data is difficult to obtain and can be extremely pricey for Forex traders. Furthermore, if a trader had access to such data, the sample set may be limited and not closely reflect the actual market.

In order for Forex sentiment data to be valuable, the data must be derived from a large, far reaching sample of Forex traders. FXCM boasts important Forex trading volumes and a significant trader sample and the broker’s large sample size is one of the most representative samples of the entire retail Forex market. Therefore, the data can be used to help predict movement of the rate of an instrument in the overall market.

This sentiment data shows the retail trader positioning and is derived from the buyer-to-seller ratio among retail FXCM traders. At a glance, you can see historical and current trader positioning in the market. A positive ratio indicates there are more traders that are long for every trader that is short. A negative ratio is indicative of a higher number of traders that are short for every long trader. For example, a ratio of 2.5 would mean that there are 2.5 traders that are long for every short trader and -2.5 would mean just the opposite.

When it comes to algo trading, sentiment can be used as a contrarian indicator to help predict potential moves and locate trading opportunities. When there is an extreme ratio or net volume reading, the majority of traders are either long or short a specific instrument. It is expected that the traders who are currently in these positions will eventually close out therefore bring the ratio back to neutral. Consequently, there tends to be a sharp price movement or a reversal.

When extremes like this are present in the market, a mean reversion automated strategy can be implemented to take advantage of the moves in the market that are expected to ensue. If sentiment is skewed very high or very low, price is moving away from the mean. However, over time it is expected to regress back to the mean resulting in a more neutral reading. Neutral would be considered a number close to 1.0 or -1.0. It is recommended that a confirmation indicator or two be coded into the mean reversion strategy as well.

Free one-month sample of the historical Sentiment Data can be accessed by pasting this link in your browser https://sampledata.fxcorporate.com/sentiment/{instrument}.csv.gz and changing the {instrument}: to the pair or CFD you would like to download data for. For example, for USD/JPY data download you would use this link: https://sampledata.fxcorporate.com/sentiment/USDJPY.csv.gz.
When the file downloads, it will be a GNU zip compressed file so you will need to use a decompression utility to open it. To open the file with 7zip, open the downloads folder, click on your file, and click ‘copy path’. Then open 7Zip and paste your clipboard into the address bar and click enter. Then click the ‘extract’ button. This will open a window where you can designate a destination to copy your new csv file. Click OK, and navigate back to your file explorer to see your csv file.
You can find more details about the sentiment data by checking out FXCM’s Github page: https://github.com/fxcm/MarketData/tree/masteSentiment
submitted by JasonRogers to AlgoTradingFXCM [link] [comments]

Releasing a Decade of Forex Tick Data I Crawled and Converted

Releasing a Decade of Forex Tick Data I Crawled and Converted

Intro:

In my exploration of the world of big data and I became curious about tick data. Unfortunately, market data is almost always behind a paywall or de-sampled to the point of uselessness. After discovering the Dukascopy API, I knew I wanted to make this data available for all in a more accessible format. Over the course of a few months, I downloaded, cleaned, parsed, and compressed over a decade of Forex tick data on 37 currency pairs and commodities. Today I am happy to finally release the final result of my work to the DataHoarder community!

Download Links:

Warning: I have rented a seedbox for the next 3 months from seedbox.io but I have been having some issues. If you have any issues with the torrent please leave a comment. Also, PLEASE SEED when you are done. This is quite a large data set and I can only push so much data on my own.
Torrent File: https://drive.google.com/file/d/18ymZWeFLJK7FggK_iiWZ-TxgWIVdJVvv/view?usp=sharingCompanion Blog Post: https://www.driftinginrecursion.com/post/dukascopy_opensource_data/

Stats Overview:

Totals Quantities
Total Files 463
Total Line Count 8,495,770,706
Total Data Points 33,983,082,824
Total Decompressed Size 501 GB
Total Compressed Size 61 GB

About the Data:

The data was collected from https://www.dukascopy.com/ via a public API that allows for the download of tick data on the hour level. These files come in the form of a .bi5 file. The data starts as early as 2004 all the way to 2019.
These files were decompressed, then merged into yearly CSV’s named in the following convention. “AUDCHF_tick_UTC+0_00_2011.csv” or ‘Pair_Resolution_Timezone_Year.csv’
These CSV’s are split into 3 categories “Majors”, “Crosses”, “Commodities”.
Majors, Crosses, and Commodities have had their timestamps modified so that they are in the official UTC ISO standard. This was originally done for a Postgresql database that quickly became obsolesced. Any files that have been modified are appended with a “-Parse”. These timestamps have been modified in the following format.
Millisecond timestamps to UTC +00:00 time [2017.01.01 22:37:08.014] -- [2017-01-01T22:37:08.014+00:00]
https://preview.redd.it/x6g277skfiu51.png?width=1399&format=png&auto=webp&s=35cd6735c1826424580919ac3377612377a3107c

User Resources:

For those looking to use this data in a live context or update it frequently, I have included a number of tools for both Windows and Linux that will be useful.

Windows

The ~/dukascopy/resources/windows folder contains a third party tool written in java that can download and convert Dukascopy’s .bi5 files. I have also included the latest zstd binaries from Zstandard Github page.

Linux

Linux is my daily driver in 99% of cases, so I have developed all my scraping tools using Linux only tools. In the ~/dukascopy/resources/linux folder you will find a number of shell script and pyhton3 files that I used to collect this data. There are quite a few files in this directory but I will cover the core ones below.

download-day.py:

This file is used to download a single symbol for a single day and then convert and merge all 24 .bi5 files into a single CSV.

download-year.py

This file is used to download a single symbol for a full year and then convert and merge all .bi5 files into a single CSV.

dukascopy.py

This file contains all the core logic for downloading and converting data from dukascopy.

utc-timestamp-convert.py

This tad slow but works well enough. It requires the pandas project and parses timestamps into the UTC ISO standard. This is useful for those looking to maintain the format of new files with the those in this repo, or those looking to use this in a SQL database.
submitted by jtimperio to DataHoarder [link] [comments]

3 years, 28 pairs and 310 trades later

This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief.
What is this?
I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it.
What changed?
Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens.
Where can I see your backtested result?
I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system.
What was the sample size?
I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number.
What is the bottom line?
If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended.
Who wins?
The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level.
I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target.
Drawdown management
The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further.
What's next?
I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes.
Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend.
I think I don't have much else to add. I like the strategy. Feel free to ask questions.
submitted by Vanguer to Forex [link] [comments]

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer to Forex [link] [comments]

Good backtest, bad forward test?

FOREX, DAILY
Backtesting my system last 7 years, 2000 trades. Data was split 75:25 in sample and out of sample, both profitable.
However, when forward testing the algo entered drawdown and is still on its way down.
What could be the reasons why?
submitted by BowsMind to algotrading [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

[Cold Email] Financial Direct Response Companies... Need Some Advice.

I have been building a huge list of Direct Response Companies in the Financial Niche for about a month.
The list is now down to the companies I would really love to work for in my Financial Copywriting Career.
Context: So I have been working as a Freelancer with multiple clients in many industries for +2 years... However, I have realized that I enjoy Financial Copy more than anything else - because I have been a Forex Trader for about 4 years and that is my passion - Anyways, I would love to work with Financial Publishing firms on their Promos...
It just seems like the right thing to do.
So, I am now considering Cold Emailing my list...
>> Yes I know, I will email each prospect personally and not Email Blast the list. This will only serve as my guideline/template for each email.
I have a list of about +100 prospects & my objective is to close at least 1 prospect on a project in the short term & ideally a Retainer in the long term... I can be patient in this regard.
So, I have drafted a short email and I would appreciate any feedback, Critique, suggestions, etc. to improve my chances of landing at least one client;
Here is the email draft:
---
Subject Line #1: New Big Ideas As The New Normal…
Subject Line #2: (No Subject)
Subject Line #3: Re: Direct Response Copywriter
Subject Line #4: Hey , Found You Through
Subject Line #5: Never Enough Direct Response Copywriters
Subject Line #6: Hey - Congrats On The .
Hey
I would love to help your Copywriters (OR Creative Team) with any of their current copy needs.
>>> This can range between a Short Form Ad to an Entire Front/Back - end Offer.
I'm looking for a longer-term relationship with .
So, I'm not afraid of going on a date before we get married. ;)
>>> I have never worked on a promo before...
However, my unorthodox knowledge of the Austrian School of Economics will help develop Different Angles and Big Ideas for any promo that I contribute to.
Reply back with your thoughts on my proposal and we can hop on a call to discuss your copy needs… And whether I’m a good fit or not.
Cheers!
P.S. Here is a Link to my Samples: xxx
submitted by M-kopy to digitalnomad [link] [comments]

Forex Ideas Rant

Does anyone else cringe at all the ideas that come through here? Like “USD going down this week.” Not the ideas themselves but the mindset behind them.
My thought process is we should be discussing concepts, stats, probabilities, psychology, etc. These ideas are just so focused on the “now.”
Same thing when I see someone beating themseves up over 1 trade, or bragging about a string of wins. (Or even a backtest with like 50 trades...)
Maybe its an automation vs discretionary mindset difference but unless there is a decent sample size, it means nothing to me as the predictability of forex is close to 0. Successful traders dont predict, they repeatedly put the odds in their favor — there is a difference imo.
I guess there’s nothing wrong with discussing ideas but is that part of your process? Getting input from (mostly) unprofitable traders?
submitted by PipHunterX to Forex [link] [comments]

[Hire Me] Experienced writer in tech, crypto, ecommerce, Saas

Hi,
I have 3 years of experience. I charge only $0.06/word. You'll love my content.
A. Specialisation
  1. Tech (crypto, blockchain, DeFi, ecommerce overall, payments gateways, conversion optimization SaaS, webdev and mobdev)
  2. Trading (forex, crypto trading)
B. Samples:
  1. https://medium.com/exactly-com/chargebacks-and-payment-gateways-beginners-guide-102ef2c2719d?source=collection_home---4------12----------------------- (all articles till June 1 2020 in this Medium channel are mine)
  2. Full site - https://exactly.net/
  3. Full site - https://epicfrog.com/
  4. Full site - https://bitcoin-mixer.biz/
  5. Full site - https://bitcoin2.biz/
C. Reviews by real customers:
  1. LinkedIn (please scroll to the bottom to see recommendations) - https://www.linkedin.com/in/andrew-korsten-2a701056/
D. My Specification
  1. I have developed a detailed specification which covers all the SEO- and copywriting-related aspects of delivering the high-quality and SEO-optimized articles - https://docs.google.com/spreadsheets/d/1DKCoq1hXVOuPksiYVBO6K3iPrzw4wmLuX9a88QyiUrA/edit#gid=116511429
E. Additional Skills
  1. I have covered the basics of HTML, CSS, JQ and JS, as well as the sheer basics of PHP and SQL.
  2. I can create sites like this - https://digiexploration.com/ - both on custom and paid WP themes.
F. Rates
  1. My rate is $0.06/word.
G. Payment Terms
  1. Methods - any (paypal, crypto, etc.)
  2. Prepayments - 0% (I don't require you to pay me a cent untill you see and love the content I deliver)
H. Free Test
  1. I am always to happy to do a free test (250 words) to clearly showcase my abilities.
Please DM me. You will love my content.
submitted by dev_lurve to HireaWriter [link] [comments]

Chinese Tinder Forex Scam

I have matched up with at least 9 gorgeous Chinese women from Hong Kong or Singapore who seem to follow a similar pattern, so I think this must be a scam. I wasn’t foolish enough to go all the way through with this to verify, but I figured someone else has and can validate my suspicions.
  1. Chinese girl matches with you - not in your geographic area
  2. Chinese girl is always young, beautiful, and wealthy (lifestyle includes golfing, high fashion brands, expensive resorts in photos)
  3. Chinese girl asks you for your WhatsApp almost immediately; she sends messages daily and even throws in some cute videos or pics to bait you. She may occasionally actually call you for a brief moment (to make you think it is a real woman but I suspect there is one girl calling hundreds of guys for a minute per guy)
  4. She asks you about your profession or business if you have one and says she does something very similar (to build trust and affinity)
  5. She casually brings up Forex trading and says she makes lots of money trading Bitcoin - USD or some other variation on forex
  6. She tells you to try it, that she will teach you how or even offers to introduce you to her teacher She will send you screen shots of her earnings (one woman sent me a screen shot showing she made $75,000 on a trade)
  7. Once you agree and download MetaTrader 4 as instructed (even though there is a Version 5 out), she directs you on when to execute sample trades (usually late at night during HK or Singapore opening hours)
  8. After you do several simulations (mine generated up to $14,000 per trade in profit), she asks how much you will invest in real money. She or her teacher suggest you start with $50,000 USD or more.
  9. If you prove useless or say you are not interested, she will stop contacting you.
submitted by ElJefecitodeEnsenada to Scams [link] [comments]

[Cold Email] Financial Direct Response Companies... Need Some Advice.

I have been building a huge list of Direct Response Companies in the Financial Niche for about a month.
The list is now down to the companies I would really love to work for in my Financial Copywriting Career.
Context: So I have been working as a Freelancer with multiple clients in many industries for +2 years... However, I have realized that I enjoy Financial Copy more than anything else - because I have been a Forex Trader for about 4 years and that is my passion - Anyways, I would love to work with Financial Publishing firms on their Promos...
It just seems like the right thing to do.
So, I am now considering Cold Emailing my list...
>> Yes I know, I will email each prospect personally and not Email Blast the list. This will only serve as my guideline/template for each email.
I have a list of about +100 prospects & my objective is to close at least 1 prospect on a project in the short term & ideally a Retainer in the long term... I can be patient in this regard.
So, I have drafted a short email and I would appreciate any feedback, Critique, suggestions, etc. to improve my chances of landing at least one client;
Here is the email draft:
---
Subject Line #1: New Big Ideas As The New Normal…
Subject Line #2: (No Subject)
Subject Line #3: Re: Direct Response Copywriter
Subject Line #4: Hey , Found You Through
Subject Line #5: Never Enough Direct Response Copywriters
Subject Line #6: Hey - Congrats On The .
Hey
I would love to help your Copywriters (OR Creative Team) with any of their current copy needs.
>>> This can range between a Short Form Ad to an Entire Front/Back - end Offer.
I'm looking for a longer-term relationship with .
So, I'm not afraid of going on a date before we get married. ;)
>>> I have never worked on a promo before...
However, my unorthodox knowledge of the Austrian School of Thought will help develop Different Angles and Big Ideas for any promo that I contribute to.
Reply back with your thoughts on my proposal and we can hop on a call to discuss your copy needs… And whether I’m a good fit or not.
Cheers!
P.S. Here is a Link to my Samples: xxx
submitted by M-kopy to copywriting [link] [comments]

MaiestasHaven | A Tale of Two Towns

MaiestasHaven | A Tale of Two Towns
Hello fellow Redditors!
We're (as of the moment of writing) in the middle of our first whitelist-only curated map, dubbed "A Tale of Two Towns", where we have two distinct towns with a vastly different set of government ideology and economic systems in place! Thanks to districts and titles, we have the ability to simulate locality to laws, in effect paving the way for groups of people to join us who want to give us a try, while having full town autonomy! Of course, if you're by yourself and you want to give a well-organized world a go, both our existing towns welcome you with open arms :)
As one of the few servers to do so successfully, we have two sets of a dual currency setup going. As of this map, that includes foreign exchange ('forex') where people can get by solely by trading in the various currencies of the world if they so choose. Be sure to talk to SatsukiShizuka if you have questions about that - she's been the bank for several rounds and the designer of one of our economical systems.
On the other hand, if you're a builder, we have several custom mods, including more block types! We run a 60 day meteor cycle (mostly coinciding with SLG update cycles) so plenty of time to get things ready! Additionally, we have our own blog: https://www.praefator.nl/ where you can read up on my latest musings, as well as reading about server history, our roadmap, and our mods as well as the proposed government structure when multiple concurrent governments are a thing (come Beta 10.0).
With all that said, here is the nitty-gritty info to get you started:
Server Name: MaiestasHaven | A Tale of Two Towns Server Location: The Netherlands Brief Description: Greetings! We're well underway with our first whitelist-only map, with plenty of room to expand!
We have two fully functional economies ready for you to sink your teeth in! We feature two separate economic systems, each with dual currencies, a well-organized world, foreign exchange, plans for a fully Renaissance-themed capital, an Asian secondary town as well as Megaproject 3.0, of which you can see a sample in this month's screenshot contest winning entry!
Server Admins: Praefator (Owner) & Inistaras Server Staff: Ferchibald, SatsukiShizuka, Sans Tark, squishy-panda, NNMike, Acularius
Password protected?: Yes, whitelist-only IP & Port: eco.praefator.nl:2053 Discord: https://discord.gg/qgf6yt9 World Size: 4 km2 World Difficulty: Beyond High World Objective: Let's connect Durmgrist and Mingyang!
The latest megabuild, currently being planned in SP prior to its enactment on the production server
submitted by dragonsupremacy to EcoGlobalSurvival [link] [comments]

[Cold Email] Financial Direct Response Companies... Need Some Advice.

I have been building a huge list of Direct Response Companies in the Financial Niche for about a month.
The list is now down to the companies I would really love to work for in my Financial Copywriting Career.
Context: So I have been working as a Freelancer with multiple clients in many industries for +2 years... However, I have realized that I enjoy Financial Copy more than anything else - because I have been a Forex Trader for about 4 years and that is my passion - Anyways, I would love to work with Financial Publishing firms on their Promos...
It just seems like the right thing to do.
So, I am now considering Cold Emailing my list...
>> Yes I know, I will email each prospect personally and not Email Blast the list. This will only serve as my guideline/template for each email.
I have a list of about +100 prospects & my objective is to close at least 1 prospect on a project in the short term & ideally a Retainer in the long term... I can be patient in this regard.
So, I have drafted a short email and I would appreciate any feedback, Critique, suggestions, etc. to improve my chances of landing at least one client;
Here is the email draft:
---
Subject Line #1: New Big Ideas As The New Normal…
Subject Line #2: (No Subject)
Subject Line #3: Re: Direct Response Copywriter
Subject Line #4: Hey , Found You Through
Subject Line #5: Never Enough Direct Response Copywriters
Subject Line #6: Hey - Congrats On The .
Hey
I would love to help your Copywriters (OR Creative Team) with any of their current copy needs.
>>> This can range between a Short Form Ad to an Entire Front/Back - end Offer.
I'm looking for a longer-term relationship with .
So, I'm not afraid of going on a date before we get married. ;)
>>> I have never worked on a promo before...
However, my unorthodox knowledge of the Austrian School of Thought will help develop Different Angles and Big Ideas for any promo that I contribute to.
Reply back with your thoughts on my proposal and we can hop on a call to discuss your copy needs… And whether I’m a good fit or not.
Cheers!
P.S. Here is a Link to my Samples: xxx
submitted by M-kopy to Emailmarketing [link] [comments]

[For Hire] Experienced writer in tech, crypto, ecommerce, Saas

Hi,
I have 3 years of experience. I charge only $0.06/word. You'll love my content.
A. Specialisation
  1. Tech (crypto, blockchain, DeFi, ecommerce overall, payments gateways, conversion optimization SaaS, webdev and mobdev)
  2. Trading (forex, crypto trading)
B. Samples:
  1. https://medium.com/exactly-com/chargebacks-and-payment-gateways-beginners-guide-102ef2c2719d?source=collection_home---4------12----------------------- (all articles till June 1 2020 in this Medium channel are mine)
  2. Full site - https://exactly.net/
  3. Full site - https://epicfrog.com/
  4. Full site - https://bitcoin-mixer.biz/
  5. Full site - https://bitcoin2.biz/
C. Reviews by real customers:
  1. LinkedIn (please scroll to the bottom to see recommendations) - https://www.linkedin.com/in/andrew-korsten-2a701056/
D. My Specification
  1. I have developed a detailed specification which covers all the SEO- and copywriting-related aspects of delivering the high-quality and SEO-optimized articles - https://docs.google.com/spreadsheets/d/1DKCoq1hXVOuPksiYVBO6K3iPrzw4wmLuX9a88QyiUrA/edit#gid=116511429
  2. This shows my dedication to SEO. We will quickly align the detailed Spec that all of your needs and requirements are met.
E. Additional Skills
  1. I have covered the basics of HTML, CSS, JQ and JS, as well as the sheer basics of PHP and SQL.
  2. I can create sites like this - https://digiexploration.com/ - both on custom and paid WP themes.
F. Rates
  1. My rate is $0.06/word.
G. Payment Terms
  1. Methods - any (paypal, crypto, etc.)
  2. Prepayments - 0% (I don't require you to pay me a cent untill you see and love the content I deliver)
H. Free Test
  1. I am always to happy to do a free test (250 words) to clearly showcase my abilities.
Please DM me. You will love my content.
submitted by dev_lurve to forhire [link] [comments]

Predicting Market Turns since 2009! Wall Street's Most Popular Market Timing Techniques! Fibonacci, Gann, Lucas, Puetz, Ratios, Cycles, Wings, Pi. New: FOREX, 3-Cycle, Pi(3.1415), Wings Report, plus Russian version here and Chinese coming soon! FREE SAMPLE

submitted by Forkoholic to stocks [link] [comments]

One-Page Trading Plan Tutorial (free template!)  Forex ... Forex trading. The Complete tutorial How To trade - YouTube How to analyse Forex trading charts - Technical Analysis ... FOREX Market Foundation 2 = Regimes - Sample Video 1 - YouTube How to Mark Up a Forex Chart - for Beginners - YouTube FOREX - Video Example - YouTube Best Forex Template / No more losses in Forex - YouTube

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One-Page Trading Plan Tutorial (free template!) Forex ...

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