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Base de connaissances open source

Algorithmes de trading open source

Catalogue objectif de 42 algorithmes répartis sur 11 dépôts GitHub. Pas de notes, pas de recommandations. Que des faits.

11Bibliothèques
42Algorithmes
8Types de stratégies
Réseau d'algorithmes

Explorez comment les algorithmes se connectent entre bibliothèques et types de stratégies

🧠Algorithmes de trading
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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
Parcourir par type de stratégie
Machine Learning13

Gradient boosting, réseaux neuronaux, Transformers pour la prédiction de prix

Apprentissage par renforcement6

Agents RL (PPO, A2C, SAC, DDPG) pour des décisions de trading autonomes

Tenue de marché2

Stratégies de fourniture de liquidité basées sur le spread pour CEX et DEX

Breakout3

Stratégies de breakout de canaux et de bandes pour amorcer les tendances

Momentum1

Stratégies de momentum par croisement de moyennes mobiles et suivi de tendance

Arbitrage2

Stratégies d'arbitrage inter-exchanges et spot-perpétuel

Facteur / Alpha5

Bibliothèques de facteurs alpha et stratégies de portefeuille basées sur des signaux

Retour à la moyenne2

Stratégies de DCA et de réversion contrarienne

Parcourir par bibliothèque
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+
Bibliothèques de framework uniquement (sans stratégies préétablies)
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.