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Open Source Knowledge Base

Open-Source Trading Algorithms

Objective catalog of 42 algorithms across 11 GitHub repositories. No ratings, no recommendations. Facts only.

11Libraries
42Algorithms
8Strategy Types
Algorithm Network

Explore how algorithms connect across libraries and strategy types

🧠Trading Algorithms
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Freqtrade5 algos
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Qlib (Microsoft)5 algos
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FinRL5 algos
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Hummingbot5 algos
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vn.py5 algos
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OctoBot3 algos
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AI Hedge Fund4 algos
SampleStrategybeginner
LightGBMRegressorintermediate
LightGBMClassifierintermediate
XGBoostRegressorintermediate
XGBoostClassifierintermediate
LGBModelintermediate
XGBModelintermediate
DNNModeladvanced
ALSTMadvanced
TFTModeladvanced
PPOadvanced
A2Cadvanced
DDPGadvanced
TD3advanced
SACadvanced
pure_market_makingintermediate
avellaneda_market_makingadvanced
cross_exchange_market_makingadvanced
amm_arbadvanced
twapintermediate
AtrRsiStrategyintermediate
BollChannelStrategyintermediate
DoubleMaStrategybeginner
DualThrustStrategyintermediate
KingKeltnerStrategyintermediate
GridTradingbeginner
DCAbeginner
TechnicalAnalysisintermediate
Warren Buffett Agentintermediate
Charlie Munger Agentintermediate
Michael Burry Agentintermediate
Technical Analysis Agentintermediate
Browse by Strategy Type
Machine Learning13

Gradient boosting, neural networks, transformers for price prediction

Reinforcement Learning6

RL agents (PPO, A2C, SAC, DDPG) for autonomous trading decisions

Market Making2

Spread-based liquidity provision strategies for CEX and DEX

Breakout3

Channel and band breakout strategies for trend initiation

Momentum1

Moving average crossover and trend-following momentum strategies

Arbitrage2

Cross-exchange and spot-perpetual arbitrage strategies

Factor / Alpha5

Alpha factor libraries and signal-based portfolio strategies

Mean Reversion2

DCA and contrarian reversion strategies

Browse by Library
Freqtrade9 algos

Crypto trading bot framework with FreqAI ML extension supporting multiple machine learning and deep learning models.

Pythoncrypto★ 28k+
Qlib (Microsoft)9 algos

AI-oriented quantitative investment platform from Microsoft Research for stock market prediction and portfolio optimization.

Pythonstock★ 15k+
FinRL5 algos

Deep reinforcement learning framework for quantitative finance, providing RL environments and agents for stock, crypto, and forex trading.

Pythonstockcrypto★ 10k+
Hummingbot5 algos

Open-source crypto market making and arbitrage bot with support for 40+ exchanges and DEX protocols.

Pythoncrypto★ 8k+
vn.py7 algos

Python-based open-source quantitative trading framework popular in Asia, supporting futures, stocks, options, and forex.

Pythonfuturesstock★ 24k+
OctoBot3 algos

Open-source crypto trading bot with Web UI, supporting grid trading, DCA, and configurable technical analysis strategies.

Pythoncrypto★ 3k+
AI Hedge Fund4 algos

Educational multi-agent AI system simulating famous investors (Buffett, Munger, Burry) as LLM-powered trading agents. Not for production use.

Pythonstock★ 25k+
Framework-only Libraries (no pre-built strategies)
BacktraderPython★ 13k+Framework providing bt.Strategy and bt.SignalStrategy base classes plus extensive indicator library. No pre-built strategies.VectorBTPython★ 4k+Vectorized backtesting toolkit with Portfolio.from_signals()/from_orders()/from_order_func() and IndicatorFactory. No pre-built strategies.JessePython★ 6k+Framework with strategy lifecycle methods. No pre-built strategies.QuantConnect LeanC#★ 10k+Multi-asset framework. Strategies shared via QuantConnect community.