forex-python — forex-python 0.3.0 documentation

Algorithmic Trading

A place for redditors to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies, and bounce ideas off each other for constructive criticism. Feel free to submit papers/links of things you find interesting.
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Algorithmic Trading with FXCM | REST API, FIX API, Market Data, and more...

Welcome to the FXCM algorithmic trading community. All levels are welcome whether you are new to algo trading and want to learn where to start or are a seasoned algo trader. CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 76.88% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
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$0 Udemy Courses: Ethical Hacking, Javascript, Python 3, Linux, Spark & Hadoop, Excel, Scrum, YouTube, Forex, SEO, SQL & More submitted by OzBargainBot to OzBargainNew [link] [comments]

[P] Forex machine learning strategy with Python: features processing

Hi, i’m preparing data (in Pandas) for a machine learning Forex strategy. Data comes from FRED, FXCM, Alpha vantage ecc. How could different features be aggregated in a pandas dataframe? For example fundamental data with price time series (GBPUSD + technical indicators + GDP + interest rates ecc). There is a problem with date adaptation, a feature is daily while others generally monthly. I know scaling and features selection/reduction with PCA but i’m interested in preprocessing and joining of features with different scale/values/timeframe. Please tell me a detailed process in pandas or Scikit Learn to obtain fundamental and price features perfectly merged and ready for a machine learning training/test. From cleaning to scaling. Then many ML models like Random trees or Svm will be compared choosing the best performer. Thank you very much.
submitted by fedejuvara86 to MachineLearning [link] [comments]

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The following description is not provided by this sub or any of it's contributors.
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$0 Udemy Courses: Ethical Hacking, Javascript, Python 3, Linux, Spark & Hadoop, Excel, Scrum, YouTube, Forex, SEO, SQL & More submitted by OzBargainBot to OzBargain [link] [comments]

Free Udemy Courses: Ethical Hacking A-Z, Python 3 Javascript, Linux, Spark & Hadoop Developer, Excel, SEO, SQL, Scrum, Agile, Youtube, Forex

The following description is not provided by this sub or any of it's contributors.
Udemy
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Beginner here, trying to install a package using a Python script?

Not really sure if I'm doing this properly. Basically, what I want to do is to check if the forex-python package is already installed and then use that to update the data.txt file. If it's not installed, then install the package within the script and proceed to updating the data.txt file.
Can anyone point to where I'm doing this wrong? The references I've been looking up on the Internet are pointing me to different things (I tried pip install forex_python and I'm getting a syntax error).
try: from forex_python.converter import CurrencyRates import datetime except ImportError: print("Forex_python package not found. Attempting to install package...") import pip def install(pkg): pip.main(['install', pkg]) install('forex_python') pass from forex_python.converter import CurrencyRates import datetime c = CurrencyRates() file = open("data.txt", "w") file.write("Last update: " + str(datetime.datetime.now()) + "\n") file.write("EUR " + str(c.get_rate('USD', 'EUR')) + "\n") file.write("GBP " + str(c.get_rate('USD', 'GBP')) + "\n") print("Done.") input() file.close() 
submitted by universalbunny to Python [link] [comments]

Tips on a Currency Converter

I'm relatively new to Python, so it makes plenty of sense to try to graph currency rates over time. I am getting errors while trying to fetch the
I've imported the forex-python library through "from forex_python.converter import CurrencyRates, Common". Then I am trying to fetch all of the rates for a certain "target" currency in relation to a "base" since January 1, 1999 (the first day these rates were recorded) through a nested loop of years, months, and days, and then plugs those into a date_obj. Then, the function get_rate(base, target, date_obj) should append these values into an array.
However, when I try to run Flask, I get this error message (and more): File "/opt/pyenv/versions/3.6.0/lib/python3.6/site-packages/forex_python/converter.py", line 73, in get_rate raise RatesNotAvailableError("Currency Rates Source Not Ready") forex_python.converter.RatesNotAvailableError: Currency Rates Source Not Ready
It seems like there is something wrong with the library and I'm not sure what to do from here. If anyone wants to see the code I am happy to message them with ideas.
submitted by JupiterTheJedi to learnpython [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 4 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 4 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 2 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 2 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 3 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 3 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 1 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 1 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10

submitted by trendypips to u/trendypips [link] [comments]

Made a forex backtesting Python "library" that uses real historical spread in the simulation.

You can check out and try your strategy after downloading the code from this repository.
The program right now only works on the given EUUSD dataset since PIP calculation differs between instruments which is not implemented yet.
The idea behind this was to make a very strict backtesting program that takes spread into account. Your strategy will make less money on this simulation because of the real spread, but that's fine because it's closer to a real scenario.
The project is still new, if you have any advice please share it.
submitted by ehheznekedsemmikozod to algotrading [link] [comments]

[Github]Forex arbitrage using IG Index Python Script

submitted by KennethWilliamsNG to quant [link] [comments]

What python library to use for backtesting for forex market

I am currently working working on a automated strategy trading over MT4 connected using zeroMQ to a python server to execute trades. I am wondering what are some python libraries I can use to test my strategy with historical data?
submitted by victor739 to algotrading [link] [comments]

[Github]Forex arbitrage using IG Index Python Script

[Github]Forex arbitrage using IG Index Python Script submitted by KennethWilliamsNG to algorithmictrading [link] [comments]

[Github]Forex arbitrage using IG Index Python Script

submitted by KennethWilliamsNG to algotrading [link] [comments]

Does anyone trade Forex? Any good modern python APIs/wrappers?

Also does anyone give you historical trade data? Raw trade/volume-weighted averages.
submitted by Yogi_DMT to algotrading [link] [comments]

Forex historical data for python.

I am trying my hand at forex predictions. But I am having trouble finding a good api to get historic forex prices/exchange rates. I was wondering if there are any good, free sites that offer an api for this.
submitted by jweir136 to algotrading [link] [comments]

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]

Bloomberg puts the power of python in hedgers’ hands #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Bloomberg puts the power of python in hedgers’ hands #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex submitted by silahian to quant_hft [link] [comments]

Download FOREX candlestick tick data for FREE using Python ... Tutorial: How to Integrate Python with MetaTrader 4 (with ... Build Algorithmic Trading Strategies with Python & ZeroMQ ... Demo of FXCM Python package for forex trading - YouTube

Die Klassen ermöglichen eine bequeme Python Nutzung in der Interaktion mit der REST API auf hohem Niveau, ohne sich um die untergeordneten technischen Aspekte kümmern zu müssen. Trader, Datenwissenschaftler, Quants und Programmierer, die nach Forex- und CFD-Python-Wrappern suchen, können nun fxcmpy in ihren Algo-Handelsstrategien verwenden. forex-python. Forex Python is a Free Foreign exchange rates and currency conversion. Note: Install latest forex-python==1.1 to avoid RatesNotAvailableError Python script to fetch Real-Time Stock/Index/Forex data !! Daily Python #10. Ajinkya Sonawane . Follow. Jan 14 · 4 min read. This article is a tutorial on how to fetch Stock/Index data using ... forex-python ¶ Free Foreign exchange rates, bitcoin prices and currency conversion. ... python data-science machine-learning machine-learning-algorithms feature-engineering forex-prediction forex-analysis Updated Sep 14, 2019 Python >>> from forex_python.converter import CurrencyRates >>> c = CurrencyRates >>> c. get_rates ('USD') # you can directly call get_rates('USD') {u'IDR': 13625.0, u'BGN ... 1. forex-python installation. To install forex-python, you need to follow this command. pip install forex-python 2 syntax c.get_rate(local_Currency, to_Currency) 3. Convert USD to EURO. in the first example, we'll convert USD to EURO. FXCM offers a modern REST API with algorithmic trading as its major use case. fxcmpy is a Python package that exposes all capabilities of the REST API via different Python classes. Traders, data scientists, quants and coders looking for forex and CFD python wrappers can now use fxcmpy in their algo trading strategies. Python Forex Trading Strategy. The Python Forex trading strategy offers traders a fair number of nice trading opportunities. The idea behind this strategy is to follow the most profitable trend at all times. The strategy suits all currency pairs and time frames. It is a very simple forex trading strategy that fits for newbies and professional traders alike and can be used for scalping, day ... Forex Python is a Free Foreign exchange rates and currency conversion. Features: List all currency rates. BitCoin price for all curuncies. Converting amount to BitCoins. Get historical rates for any day since 1999. Conversion rate for one currency(ex; USD to INR). Convert amount from one currency to other.(‘USD 10$’ to INR). Currency symbols. Currency names.

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Download FOREX candlestick tick data for FREE using Python ...

If you would like to use machine learning algorithms for trading and you would like to use a broker which only offers MetaTrader as the platform, this tutori... In part 1 of this two-part tutorial we put everything together and build our first complete trading strategy using Python, ZeroMQ and MetaTrader 4. Brought to y... Tap to unmute. www.grammarly.com. If playback doesn't begin shortly, try restarting your device. An error occurred. Please try again later. (Playback ID: RBiK2T2MplnZlC0y) Learn More. You're ... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Share your videos with friends, family, and the world This is my first video where I show my face and talk, so please do not be so brutal on me in comments for saying "actually" or "fx good quality data" too man...

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