Statistics for topic backtesting
RepositoryStats tracks 638,587 Github repositories, of these 107 are tagged with the backtesting topic. The most common primary language for repositories using this topic is Python (63).
Stargazers over time for topic backtesting
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:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Open source software that helps you create and deploy high-frequency crypto trading bots
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
A high frequency trading and market making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Open source software that helps you create and deploy high-frequency crypto trading bots
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Pytrade.org is a curated list of Python libraries and resources for algorithmic trading
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。
Hikyuu Quant Framework 基于C++/Python的极速开源量化交易研究框架,同时可基于策略部件进行资产重用,快速累积策略资产。
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Open source software that helps you create and deploy high-frequency crypto trading bots
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
🤖 Open-source cryptocurrency trading bot designed to perform grid trading strategies using historical data for backtesting
Pytrade.org is a curated list of Python libraries and resources for algorithmic trading
An algorithmic trading platform written in rust. Focused on backtesting, charting, live trading. With an emphasis for semi-automated strategies. fund-forge is built to allow simple abstractions for c...
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
An algorithmic trading platform written in rust. Focused on backtesting, charting, live trading. With an emphasis for semi-automated strategies. fund-forge is built to allow simple abstractions for c...
🤖 Open-source cryptocurrency trading bot designed to perform grid trading strategies using historical data for backtesting
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Open source software that helps you create and deploy high-frequency crypto trading bots
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
A high frequency trading and market making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Pytrade.org is a curated list of Python libraries and resources for algorithmic trading
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the ...
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.