Akquant
akfamily
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
FinanceSkill source unconfirmed
2KGitHub
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2.6KGitHub
3.4KGitHub
Barter Rs
barter-rs
Open-source Rust framework for building event-driven live-trading & backtesting systems
FinanceSkill source unconfirmed
2.2KGitHub
Lumibot
Lumiwealth
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
FinanceSkill source unconfirmed
1.7KGitHub
2.1KGitHub
Optopsy
goldspanlabs
A nimble options research and backtesting library for Python
FinanceSkill source unconfirmed
1.4KGitHub
Krypto Trading Bot
ctubio
Self-hosted crypto trading bot (automated high frequency market making) written in C++
FinanceSkill source unconfirmed
3.7KGitHub
Investing Algorithm Framework
coding-kitties
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
FinanceSkill source unconfirmed
1.3KGitHub
Stock.Indicators
DaveSkender
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators a…
FinanceSkill source unconfirmed
1.2KGitHub
3KGitHub
AlphaPy
ScottfreeLLC
Python AutoML for Trading Systems and Sports Betting
FinanceSkill source unconfirmed
1.7KGitHub
SGX Full OrderBook Tick Data Trading Strategy
rorysroes
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
FinanceSkill source unconfirmed
2.3KGitHub
Algotrading
ivopetiz
Algorithmic trading framework for cryptocurrencies.
FinanceSkill source unconfirmed
1.6KGitHub
Fastquant
enzoampil
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
FinanceSkill source unconfirmed
1.8KGitHub
Simons Quant
xuboyuebobb
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
811GitHub