Financial data warehouse and backtesting framework
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Updated
Apr 15, 2017 - Python
Financial data warehouse and backtesting framework
Financial Datareader
Forward & Back Test Using Simple Moving Average Strategy/ Algorithm Simulation
Python based Quant Finance Models, Tools and Algorithmic Decision Making
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
Java-based project related to the stock market, that provides statistical and technical tools to help users back-test and analyze their custom strategies under market dynamics.
Implementation of some trading strategies and verifying their performance by backtesting using historical prices.
Event-Driven BackTesting Framework
A Modular platform to perform advanced back-testing in today's 24/7 crypto-currency market
Python 3 library providing quantitative financial analysis
Back-tested a stock trading idea I had
Python tool to download Binance Candlestick (k-line) data from REST API
Book on backtesting strategies in R using blotter, quantstrat, FinancialInstruments, TTR packages
This is a backtesting demo in Python. Different moving average prices are used to make buy and sell decisions. A Jupyter notebook version is for serial mode. while py version is for multiprocessing. A version for GPU has been tried, but not successful.
A simple trade back-testing model using Python
A library for back-testing strategies in trading.
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