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simple and user-friendly interface. Supports event-driven backtesting, access of data from Yahoo Finance, Google Finance, Ninja Trader CSVs and any type of time series data in CSV. Scalable, very easy to scale horizontally, that is, using one or more computers to backtest a strategy. However, Zipline is slower compared to commercial platforms with backtesting functionality in a compiled application and isnt very convenient for trading multiple products. The developers are working to get include multi-asset backtest capabilities.

It outperforms other libraries in terms of speed and flexibility, however, its the biggest drawback is that it doesnt support Pandas-object and pandas modules. Quantiacs provides free and clean financial market data for 49 futures and S P 500 stocks up to 25 years. Python3 forex-prediction forex-trading deep-learning neural-network, python Updated Jul 3, 2018, vitoshaTrade is a Forex forecasting module for MetaTrader4. Supports multiple CSV file formats like Yahoo!

Simple version of auto forex trader build upon the concept of DQN forex-dqn forex forex-trading forex-prediction, python Updated Apr 28, 2017, predicting Forex Future Price with Machine Learning machine-learning ml python scikit-learn forex-prediction. PyAlgoTrade allows you to do so with minimal effort. It has multiple APIs/Libraries that can be linked to make it optimal, cheaper and allow greater exploratory development of multiple trade ideas. You can also check out this tutorial to use IBPy for implementing Python in Interactive Brokers API.

It provides access to over 100 market destinations worldwide for a wide variety of electronically traded products including stocks, options, futures, forex, bonds, CFDs and funds. Automate trading on IB TWS for quants and Python coders. With that said, using ForexConnect API one can bypass mql and write quants or automated strategies in higher level languages as C/C Java Python, or even Matlab. Supports access to data from Yahoo Finance, Google Finance, HBade, and Excel. PyAlgoTrade, an event-driven library which focuses on backtesting and supports paper-trading and live-trading. Python is a free open-source and cross-platform language which has a rich library for almost every task imaginable and specialized research environment. Listed below are a couple of popular and free platforms that can be used by Python enthusiasts in algorithmic trading.

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