Stock analysis/prediction model using machine learning
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Updated
Dec 12, 2017 - Python
Stock analysis/prediction model using machine learning
Simulated backtrading using financial technical indicators
Research on quantitative trading system based on backtrader framework
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
A platform for backtesting and getting live buy and sell signals of your strategies
Backtrader implementations
Python Backtrader - Metaquotes MQL5 - API
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
Vix index is implemented in S&P500 historical data.
Binance API integration with Backtrader.
Porting strategies from zwpython to Backtrader.
Framework for backtesting quantitative trading strategies, allowing easy data visualisation, performance comparison and analysis.
In this project, I've provided some examples of what I learned about the Backtrader python package by following along with Part Time Larry's "Algorithmic Trading with Python and Backtrader" videos on youtube. The current project has two datasets (Oracle stock and S&P 500) and two trading strategies (Golden Cross and Buy & Hold for 5 days).
Scalable, event-driven, deep-learning-friendly backtesting library
BT CCXT Store
backtrader接入国内期货实盘交易
BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)
Binance live trading for backtrader
Coinex Indicator Filter
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