Trending repositories for topic algorithmic-trading-engine
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A high-performance algorithmic trading platform and event-driven backtester
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A high-performance algorithmic trading platform and event-driven backtester
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A high-performance algorithmic trading platform and event-driven backtester
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A high-performance algorithmic trading platform and event-driven backtester
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A high-performance algorithmic trading platform and event-driven backtester
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
A high-performance algorithmic trading platform and event-driven backtester
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A high-performance algorithmic trading platform and event-driven backtester
This repository contains a crypto currency trading bot. The bot implements some strategies (donchian, ema, atr) and works on the Bitfinex crypto currency exchange.
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
A high-performance algorithmic trading platform and event-driven backtester
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
This repository contains a crypto currency trading bot. The bot implements some strategies (donchian, ema, atr) and works on the Bitfinex crypto currency exchange.
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API