Online Forex Trading & Forex Broker OANDA

Going from Oanda Forex (very cool python API) to BTC trading. Which platform is trusted + has a cool Python API + historical data?

Which big BTC broker is trusted + has a cool Python API?
Thanks in advance.
submitted by basjj 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]

Non Farm Payrolls tomorrow

Folks that enjoyed my post on trading economic news may be thinking about trying their hands at trading tomorrow morning’s Non Farm Payroll (NFP) Employment.
The previous month’s value was 273k and the consensus for this release is -100k. The figure will be released at exactly 8:30 AM ET tomorrow and you can listen to a free live squawk (starting at 8:00 ET) at FinancialJuice.com.
Edit: I guess some folks saw me link to this site a few times and were concerned I’m shilling for them. I’m not affiliated with the site, I just use it because it’s free and I’m cheap. There may be other free squawk services out there (and I’d like to know if there are). The pros use paid services like RanSquawk and TradeTheNews and I think they offer free trials, so that’s an option too. Really anywhere you can get the NFP figure within 1-2 seconds after release will work.
Remember, a beat on the NFP forecast (higher number) is usually good for the dollar and a miss on the forecast (lower number) is usually bad for the dollar. The effect is most pronounced between USD and very stable currencies, for example USD/JPY.
However! This is the first negative NFP consensus in god knows how long. There will be a lot more eyes on the news than usual so you’ll have to be even faster on the trigger than usual.
Additionally, coronavirus is causing havoc in the markets and “infinite QE” is causing all sorts of non-reactions to things that would ordinarily be market movers. So it’s possible that the correlation I showed in my previous post will be muted tomorrow. Or it could be strengthened. Who knows, these are crazy and unprecedented times!
Finally, remember that the historical pricing, spreads, and correlation data I posted was based on OANDA, and since forex is OTC your mileage with your broker may vary, especially when it comes to the first few seconds after a news release.
Welp that’s me covering my ass in case things go sideways tomorrow :)
submitted by thicc_dads_club to Forex [link] [comments]

Carry trade EGP

I am a beginner (demo trading) learning about carry trades. When looking at the EGP interest rate so high why does selling the USD/EGP not make sense for a great carry trade?
Also I am not seeing this pair in my MT4 with Oanda, so how could you trade it?
submitted by beoskier to Forex [link] [comments]

Stupid Question about Carry/Financing

Where can I find any kind of historical carry trade/financing trade information for forex.com brokers? Trying to collect some data to fine tune leaks in my trading plan. Any help is appreciated. Thanks!
submitted by tacticalslacker to Forex [link] [comments]

Inaccurate historical charts

I'm learning forex and wanted to view some historical charts. When I look at the same chart (USD/JPY) over the same time frame (1 minute chart). I am seeing different numbers on both charts. I am looking at the investing.com chart and also the oanda charts.

For example. The USD/JPY price on 1/30 at 9:06AM
Oanda: steady at 109.339
Investing.com: small increase from 109.67 to 109.69

Why am I seeing a discrepancy here? Where can I go to find accurate charts?


submitted by NoSleepForOutlaws to Forex [link] [comments]

Backtesting Forex Strategies in Python

I'd like to backtest some strategies with forex data, but I'm not sure where to look for a good solution. I have an Oanda practice account, but can't figure out how to get historical/backtest data. I've also used Backtrader for stock data, but can't figure out whether there's a way to pull in forex data. I work in primarily in Python but I'm familiar with R too.
What do you use to backtest Forex strategies? Any APIs I should be looking at?
submitted by AlfaPenguin to algotrading [link] [comments]

Couple questions around brokers and currency conversion

I've just been getting into trading forex. I've mostly been focusing on learning and back testing some different strategies. I haven't jumped the gun yet on trading live and had a couple questions on currency conversion and how brokers handle it. I plan on trading with Oanda.
1) If my account is using a base balance of CAD and I want to trade EUUSD, when I close a position will my broker automatically add/subtract my profit/loss to my account using my accounts base currency at the current exchange rate? If I'm using leverage, will the loans automatically close after a position has been closed?
2) I'm trying to write some automated back tests and realize that in order to correctly calculate my risk per trade at a given point in time, I need historical exchange rates. What APIs are typically used for this? One I've come across is fixer.io. I've noticed that Oanda has one, but it looks rather pricey.
Thanks in advance.
submitted by bdicasa to Forex [link] [comments]

GBP/USD Technical & Sentiment Analysis (16 Feb 2014)

Hey guys. I don't usually do GBP/USD, but it's suddenly become one of the most interesting pairs in my opinion, because I believe some very big moves are afoot. I'm going to mostly be looking at the long term view in the context of market positioning, so this might not be all that helpful for scalpers ;)
I want to start with the Daily FX SSI (Speculative Sentiment Index) reading for GBP/USD, which is quite something: http://i.imgur.com/pFcbIij.png (© 2014 DailyFX)
There are 9 traders short for every one long. Basically the entire retail crowd is betting against the trend. This means that the majority of orders in the market will be stop losses near current levels.
Also worth a watch is John Kicklighter's video for the week, focusing on the S&P and GBP/USD: http://www.dailyfx.com/forex/video/daily_news_report/2014/02/14/Forex_Weighing_Reversals_for_SP_500_USDollar_GBPUSD.html
For those new to this kind of thing, sentiment analysis is just analysis using what you can know about market positioning, and how the market generally "feels" about a currency pair. Usually SSI gives quite reliable indications of when a trend will continue, because the majority of retail traders will start betting against it. Their stops add fuel to the fire when it continues. (This is also why I'm short AUD/USD - 2 traders long to every 1 short. Not extreme yet, but it means there are lots of stops below).
Before I get into too much detail there, here's the weekly chart: http://i.imgur.com/Ef4VRQf.png
(Yes I'm long)
I've put some tentative levels there, but I'll do more precise ones in a minute. As you can see, price is breaking out of a long term wedge. It hasn't quite cleared the range yet, and 1.700 is a massive wall to get over. There will be enormous interest at this level, not to mention some extremely large option barriers.
But I think it will break it eventually. Why I think it will go higher? Well, market positioning for one, but also this:
http://www.cityindex.co.uk/market-analysis/market-news/24551832014/sterling-at-fresh-3-year-highs-eyes-more-gains/?cid=0000215115
Good analysis piece pointing out that GBP/USD is only about 6% away from the 200WMA. Deviations from this average have historically been much larger. Since price is clearly moving away from this level, I believe we can expect quite a large move as the market unwinds its short positioning.
A look at Oanda's orderbook (or the order boards posted at ForexLive) can give us a more precise view of where these orders are sitting:
http://i.imgur.com/FEn4h3O.png
Current Positioning & Open Orders
As you can see the market is severely short, mostly from the last 100 pips or so. 1.6600 is an area where a lot of positions, both long and short, were established.
There are clusters of buy stops above 1.6700 (small), 1.6750 (bigger) and then above 1.6900 there are two large clusters of buy stops.
Further, there are more buy stops above current price than there are sell orders, meaning that there is ample room for price to continue higher. They're mixed in with some mid-weight sell orders around 1.6800, so this is a level that should provide resistance.
Going a bit lower, we find that bids (both those wanting to initiate new positions and those wanting to take profits on short positions) should provide extreme levels of support.
These are in at about every 10-15 pips between 1.6600 and 1.6500, with the largest cluster being at 1.6500. Going on this alone, buying any dips below 1.66 looks really good.
Beware the retracement
Bear in mind that there are sell stops below 1.6700 - these are the weaker longs or those wishing to enter short on a break below the figure. These could accelerate a correction down to 1.6650 quite quickly.
Here's the 4hr chart, with the largest bids and offers put in. You'll notice that they line up quite nicely with just about any other method of calculating S&R. Dashed lines are larger orders, dotted ones smaller. The big box is where there are too many orders to make lines for :P
http://i.imgur.com/C1htngr.png
Hopefully that's helpful.
Now, there's also a fundamental component to consider. The UK's recovery is looking fairly solid, while the market is very quickly losing its patience with the greenback. Over the last quarter my bullish USD bias has evaporated, as it was predicated on the market not having priced in the full effects of the taper. Now that it appears this is not the case, I have no choice but to change my USD bias to neutral/bearish. The recent soft data also indicates that the recovery is lagging that of the UK's quite badly. The market's reaction to positive US data is generally muted, and when something can't rally on good news, it's usually bad news.
Another thing to note is that the DJ FXCM Dollar Index declined throughout the last dip and recovery in the S&P - one of the longest sustained bearish moves in history. It was only half the magnitude of the other declines of this length, but most other 6-7 day consecutive declines in the dollar have preceded much greater bear waves, not recoveries. The logical thing to do is to look for a USD bounce and sell it.
We need look no further than the S&P to see what's happening here:
http://i.imgur.com/YrCT8tA.png (4hr chart with GBP/USD overlaid in white)
Sterling not quite a safe-haven yet. If 1850 goes in S&P, expect GBP/USD to continue higher. However, Daily RSI on both is currently showing bearish divergence (shown on charts - it's a daily RSI despite it being a 4hr chart)
This means that we might head slightly lower before bouncing. Trend line support for the S&P comes in at around 1775, which would imply quite a serious fall in Cable before buyers really step in.
The level I really like? 1.6475 There is a large cluster of buy orders just below 1.6500, which I believe is where the smart money is looking to enter. This move would flush out a lot of weak longs, leaving plenty of space for new positions. Sellers will also be taking a lot of profits off here, giving us a very good chance of a bounce. From there all it will take is a move back above 1.660 to really get moving.
So longer term I would look to start long positions between 1.6600 and 1.6475, with stops below 1.6250 or the 100DMA
Targets would be completely open. I will look to exit the position if and when speculative sentiment drops back to more natural levels, or perhaps even reverses. Stops will be trailed to lock in profit, but not aggressively.
submitted by NormanConquest to Forex [link] [comments]

What spread and slippage to use in back testing? Average? Largest spike?

I trade Forex and Index CFDs. Currently I use fixed spread in the back testing. I look up the historical spread provided by my broker (Oanda) and choose the almost largest spread to back test. For example, for one instrument, most time the spread is about 5 pips, and the spike spread is about 15~20 pips, which happens only less than 10% of the time, then I use 15 pips as the spread in back testing. Is this too pessimistic? Should I use the average one, 5 pips, as the spread? Same as slippage. I cut 0.5 pip on entry and 0.5 pip on exit, no matter the situation and the order type. I'm worrying it's pessimistic too. For limit order, the slippage may hurt, but for stop order, the slippage may be positive.
Can you give advice and your experience on choosing spread and slippage in back testing?
Thanks
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Oanda EMA Tutorial Oanda How to place a trade - YouTube Tips to get Oanda forex trading working with Python OANDA - YouTube Oanda Order Books Forex Trading Strategy Python algo Trading: FX Trading with Oanda - How to Extract Market Rates using Oanda V20 REST API

OANDA Rates® cover 38,000 FX currency pairs, and are easily downloadable into an Excel ready, CSV formatted file. This tool is ideal for auditors, CPAs, tax professionals, and anyone who needs accurate and authoritative foreign exchange data for spot checking, analysis, and reporting. Currency data can be displayed in a graph or table view with up to 10 currencies at a time. Our Historical ... In keeping with OANDA's value of transparency, access OANDA's historical spread data in an easy to understand graphical format. Forex Historical Position Ratios See how long-short positions held by OANDA's clients have evolved over time The following graph shows the historical trend of long-short positions on fxTrade platform alongside the market price for the selected currency pair and time period. OANDA is a global leader in FX solutions. Discover and experience our award-winning online trading platforms, available on desktop, web and mobile. Historical Exchange Rates Live Exchange Rates Transfer Money: print Currency I Have: USD AMOUNT: I have this much to exchange: Currency I Want: EUR AMOUNT: I want to buy something at this price: HELP DATE: INTERBANK +/-Rate Details. Traveler's Cheatsheet. USD/EUR Details. USD/EUR for the 24-hour period ending Monday, November 9, 2020 22:00 UTC @ Selling EUR: you get USD: Buying USD: you pay ... Historical Forex Positions. by OANDA. Get Started. See how long-short positions held by OANDA's clients have evolved over time. The following graph shows the historical trend of long-short positions on fxTrade platform alongside the market price for the selected currency pair and time period. Note the Net Position graph is calculated by subtracting the percentage of short positions from long ... FOREX.com provides traders 91 currency pairs (e.g., EUR/USD) compared to OANDA's 70 available pairs. Forex pairs aside, FOREX.com offers traders access to 4500 CFDs while OANDA has 55 available CFDs, a difference of 4,445. Overall, between FOREX.com and OANDA, FOREX.com is the better forex broker. FOREX.com Review OANDA Review Oanda Historical exchange rate review by forex trading experts, all you need to know about foreign exchange Oanda Historical data, For more information about Oanda Broker you can also visit Oanda review by ForexSQ.com forex trading website, The TopForexBrokers.com ratings forex brokers, or Fxstay.com Forex investing company and get all information you need to know about the Oanda Forex Broker. Founded in 1996, OANDA is regulated in six tier-1 jurisdictions, making it a safe broker (low-risk) for forex and CFDs trading. OANDA's offering of research tools, news, and market analysis is excellent. With pricing, we found OANDA offers slightly better than average rates but still trails discount leaders CMC Markets and IG by a wide margin. Access real-time rates for all the major FX pairs, plus up to 25 years' historical exchange rates across 38,000 forex pairs. See converter. FX Data Services. Discover OANDA Treasury, Exchange Rates API, Historical Currency Converter and Corporate Payments solutions. See our services. See all partners. Currency Converter. OANDA Rate ® data currency calculator. Touchstone foreign exchange rates ...

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Oanda EMA Tutorial

Oanda Forex Trading Strategy Book Book - This episode of Forex Club Indonesia wants to share tutorials on how to trade forex and forex strategies using order books. How to Deposit, Withdraw, or Transfer Funds from a Live or Demo OANDA Forex Trading Account by Optimus Futures. 5:38. Language: English Location: United States Restricted Mode: Off History Help ... 30-50% profit as a US forex trader at OANDA. My US hedge forex trading strategy shows the way. - Duration: 32:00. Ryan Brown 13,061 views In this video I go over how to add the overlay EMA to the Oanda Mobile trading app and go over the basics of how it is used. Email all questions to - [email protected] Check out my website ... How to get started with the OANDA data feed and broker profile in MultiCharts trading platform. Oanda Forex API Python workshop Q and A webinar session by Bryan Downing. 17:59. Live forex api trading with Oanda starts in 7 days by Bryan Downing. 1:37. Predictable nature of pair trading with ... In this video I show everyone how to place a buy or sell order in the Forex market using the mobile Oanda App. I show how to locate the pair, place a buy or ... Python algo Trading: FX Trading with Oanda - How to Extract Market Rates using Oanda V20 REST API Everyone at OANDA is focused on our vision to transform how our customers can meet all their currency needs. From our roots in 1996 that provided free curren...

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