When trading in Forex, it is important to develop a trading bot that makes risk management easy - since Forex involves high-level financial market data. Python is one of the most popular programming languages for Forex because it enables the API to be functionally separated to perform buying and selling operations. Python-based open-source software supports both backtesting and live trading operations to help the traders develop sound strategies for a Forex application. Python libraries also provide code for working with real-time currency exchange rates.
Below is a comprehensive list of the 26 best open-source python libraries for developing Forex algorithmic trading applications. If you are looking for a full-scale, event-driven library that transitions seamlessly from testing to live trading, then qsforex is for you. Yahoofinancials is a code package that enables you to pull data like indices, currencies, ETFs, etc. from Yahoo Finance. If you intend to trade in cryptocurrencies, bitex enables you to do that by using API classes without employing interface classes. Forex-python is a library that shows exchange rates and cyptocurrency price index using ratesapi.io.
Python 543 Version:1.6 License: Permissive (MIT)