API Trading FOREX.com UK

I am trying to find a solid broker with a good R forex trading API. I came across the OANDA API but I had issues with it due to the complete lack of working R support.
The github versions didnt work for me.... I had to modify/update several methods to get the history to work correctly and I am unable to get a Trade POST request working at all. Anyone have recommendations for a Forex broker with a working R API?
I tried: https://github.com/IFFranciscoME/ROandaAPI

Also does anyone give you historical trade data? Raw trade/volume-weighted averages.

Hello. I'm in the progress of choosing my broker, whereas I'd prefer a REST API but would do with any accessible API at all really, as long it is reliable, has low requirements to be used (in terms of investment etc.), covers the required methods/endpoints, has decent documentation, and lastly that I'm somehow able to connect to the API with Java. I was originally looking to start with Oanda as their API seems great and beginner-friendly with good docs, practice-mode, low minimum deposit amount etc. but got a bit shutdown knowing they had to reduce their leverage to 30:1 with ESMA. I might start out with Oanda to test out my algorithms and success, but I'd need options to go with brokers that aren't affected by ESMA and allows higher leverage, up to 200-500:1, as making good money with 30:1 requires a lot of capital.
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From what I've read, the best reliable options for higher leverage is IC Markets, Pepperstone and Dukascopy, atleast those are the ones I see that people recommend and do decent with ratings and leverage. Out of those, only Dukascopy has an easily accessible API (their JForex API) which I find very weird. Pepperstone and IC Markets has cTrader cAlgo support, but I do not want to commit my system to a closed-source third-party platform, especially not when I have a great open-source TA library already that is in Java ("ta4j"). These two brokers also has FIX API's, but the Pepperstone one is limited to clients with "$250m trading volume per month", and the IC Markets FIX API seem partly limited in regards to documentation and access. So my question is, do anyone have API experience and can recommend any of these three brokers for my scenario, or can recommend another reputable broker with good API & leverage possibilities?
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Tl;Dr which reliable and "good" brokers offer good leverage possibilities (200:1 and up), low spreads & have a good API that can be connected to with Java? Or should I just not care about the API bit and instead make MT4-calls from my Java application? Thanks in advance
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Edit: I'm in EU, so I have the option to use ECN brokers

Which big BTC broker is trusted + has a cool Python API?

• as easy to use as Oanda's API
  
• access to historical data
  

Thanks in advance.

1Broker, a Bitcoin forex and CFD trading site which offer leverage https://1broker.com/ now has a new Python API wrapper available at https://github.com/SatoshiReport/1Broker
Comments welcome and feel free to contribute to the open source code project.

I am new to trading forex. I have created my own bot and algorithms to trade cryptocurrency based on the Binance API and thought I would translate some of that to forex as well.
I understand there are already platforms out there that allow you to connect to a broker and create algorithms (meta Trader for example) but I would like to create my own.
For those of you familiar with algo trading and working with APIs what is the best broker to start with.
Thanks all

I have a bot I made that trades via Binance's REST API. I would like to port the code over to trade on Forex. Who offers a good REST API into Forex?

Hello there!
As I do poor in manual trading and do not have the time to constantly look at charts, I want to try it with algorithms. Made a small script with python that works pretty well, but I am sure my backtesting method isn't very accurate so I would like to test it in real life.
Is there any broker, that gives me a more or less free demo trading account with API access?
I want to get live ask/bid tik data and the programm will send long/short/close with stop loss/take profit orders.
Can you recommend me a broker / website please?
And how does API trading work? Do I send the orders via URL or external programms?
If there is no such a thing (without having to invest 100000€ into the broker...), is there a possibility to get live forex quotes?
I even thought about constantly taking screenshots of the oanda demo trading window and extracting the exchange rates... :) But I hope it doesn't need to be that complicated.
Thank you!

I would like to reduce the Beta dependency for my investment.
As a way of achieving it, I am think about investing in Forex, Future. But yet I have not found accessible API, whereas in Stock there are some popular options like Alpaca, TDAmeritrade, Ally etc.
Can you guys share your experience in non-equity market?

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a
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https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45
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FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:
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https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e
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EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd
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P/E has declined in the past 2 years, making it a great time to buy.
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https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b
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Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848
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SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.
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Platform	Notes
ADM Investor Services	No API
Ally Invest	Does not support futures instruments
Alpaca	Only supports US Equities
Alpha Vantage	Does not support futures instruments
AMP	Broker with a huge number of platforms available including some with APIs
ApexFutures	No API
Arcade Trader	No API
AvaTrade	Does not support futures instruments
Backtrader	Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading	Broker with a variety of platforms, some have API access such as TT
Centerpoint	No API
Charles Schwab	API does not support futures instruments
Cobra	No API
Daniels Trading	No API
Discount Trading	Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear	Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom	Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader	Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade	API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online	No API
Gain Capital Futures	API available, based on .NET; unsure if they are open to retail clients
GFF Brokers	Broker with a large number of platforms including some with API access
High Ridge Futures	Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker	API available; contact them for more info
IEX Cloud	Looks great but does not support futures instruments
Infinity Futures	JSON API available; contact them for more info
Interactive Brokers	Client Web API looks promising if clunky
Intrinio	Supports futures instruments but is expensive
Koyfin	No API
Lightspeed	C++ API available
marketstack	API for equities available. Does not support futures instruments.
Medved Trader	Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader	Does not support futures options
Norgate Data	Not a broker; supports futures data for $270/year
Oanda	Forex only; API last updated in 2018
Optimus Futures	Broker with a large number of available platforms including some with API access
Phillip Capital	Broker with a large number of available platforms including some with API access
polygon.io	Expensive but looks slick; does not support futures instruments
Quandl	API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect	Does not expose raw data
Quantopian	Does not expose raw data
Quantower	Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets	Broker with extensively documented API
Stage 5 Trading	API available through Trading Technologies
Straits Financial	Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures	Broker with a large number of available platforms including some with API access
TastyWorks	There's an unofficial Python API
TenQuant.io	Does not support futures instruments
ThinkorSwim	Does not support futures instruments via the API
Tiingo	Free account tier but does not support futures instruments
TradePro	Broker with a number of platforms available; unclear if any are available with API access
Tradier	Free developer API account for delayed data but does not support futures instruments
TradeStation	Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less	Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies	API looks robust; pricing starts at $700/month
TradingView	Does not expose data API
Tradovate Technologies	API exists, documentation unknown; need to talk to their account team
Wedbush Futures	Broker with several platforms offered, a few of which have API access
WEX	.NET/COM only; pricing not disclosed on website
Xignite	Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API	Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner	Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

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Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table

I have used MetaTrader for forex in the past and Alpaca for equities, and would now like to get a little more serious. I am currently trying to choose between IBKR vs. TDA for trading equities, futures (including cryptocurrency), forex, options, and pretty much whatever I can, via API. I plan on building with Python.
What matters most to me is that my orders execute reliably and quickly. Good fills, things get triggered, not eaten up by all the wtf? fees but I don't mind paying commission for quality, data feed quality, etc. If it gets a signal, I don't want to have to worry about my broker crapping on me. I do not care how hard it is to use or set up as long as I can count on it in the end. I will take the time to get it right and want to use it long-term for trading everything. I do not plan to use any UI much if at all, everything done through code.
What has been your experience in using IBKR vs. TDA for your algorithmic trading?

I am trying to do some prelim research on writing a trading system for forex. Trying to understand what type of data should I train models on? The question is that trades are basically set on asks and bids, wouldn't the model be more accurate with order book data?
Also looking for recommendations for Forex data platforms API along with a broker that supports API order creation.

edit to add: Thanks /joeledg for the suggestion on LightSpeed, I looked into them more deeply and have engaged with Robert Morse over on Elite Trader. They do tick off all the boxes (except the last, but that's really last on my list and not important) below. Please ignore the total misinformation (what really is the point of that??) you'll find in the responses below.
https://www.lightspeed.com/automated-trading/
I ignored them before because of lack of API focus, but just found they support colo/cross connect as well as everything else on the list. So that is pretty savvy.
It's possible the retail API trader is too small of a market to focus on exclusively, but that doesn't stop with providing them good service anyways. I still think there's an opportunity there with the right prioritization and engineering team, but that's a different discussion.
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Looking for a broker, ideally API Only. (Competitive with IB!)
Some ideal features -

• API retail traders are warmly welcomed, supported, and encouraged
• Should go without saying, but dead simple, rock solid security.
• US stocks/options support
• pure focus on API/algotrading, very basic UI (none is fine with me), no market data support but see below regarding latency.
• low commissions, obviously, but more importantly described and billed with precision and transparency
• order execution transparency, flexibility. Smart routing isn't that important to me, but I do need fine grained control
• order fill ratio rules with smart billing and generally well implemented throttling
• detailed latency comparison against exchanges and routing performance (how fast do messages flow through your broker to exchanges). Focused support for the usual algotrading trading suspect exchanges here. Know your customers.
• DC co-location / cross connect support / generally great network infra
• API performance / C++ support / protocol serialization speeds. Clear, simple python facade to C++ API. Fix is nice, but not required. I want speed and control.
• latency compatibility with data providers (broker doesn't need to supply market data, but needs to ideally have colocation offering which has very low latency against low cost API data providers, eg nanex or nanex like offering)
• paper trading / dev account for staging new code.
• great documentation is nice, but constantly updated example code is required. Best to simply have a reference implementation used for full coverage integration testing that you support. Use good tools to measure coverage. Example code be similar to average use cases. Github for that code would be wise. Think like a developer!
• broad markets support is nice (futures,forex,international, OTC,bonds,etc).

Add your ideas, fellow algotraders.