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Base de conocimiento de código abierto

Algoritmos de trading de código abierto

Catálogo objetivo de 42 algoritmos en 11 repositorios de GitHub. Sin puntuaciones, sin recomendaciones. Solo hechos.

11Bibliotecas
42Algoritmos
8Tipos de estrategia
Red de algoritmos

Explora cómo los algoritmos se conectan entre bibliotecas y tipos de estrategia

🧠Algoritmos 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
Navegar por tipo de estrategia
Aprendizaje automático13

Gradient boosting, redes neuronales, Transformers para predicción de precios

Aprendizaje por refuerzo6

Agentes RL (PPO, A2C, SAC, DDPG) para decisiones de trading autónomas

Creación de mercado2

Estrategias de provisión de liquidez basadas en spread para CEX y DEX

Breakout3

Estrategias de breakout de canales y bandas para inicio de tendencias

Momentum1

Estrategias de momentum por cruces de medias móviles y seguimiento de tendencias

Arbitraje2

Estrategias de arbitraje entre exchanges y spot-perpetuo

Factor / Alpha5

Bibliotecas de factores alfa y estrategias de cartera basadas en señales

Reversión a la media2

Estrategias de DCA y reversión contraria

Navegar por biblioteca
Freqtrade9 algoritmos

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

Pythoncrypto★ 28k+
Qlib (Microsoft)9 algoritmos

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

Pythonstock★ 15k+
FinRL5 algoritmos

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

Pythonstockcrypto★ 10k+
Hummingbot5 algoritmos

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

Pythoncrypto★ 8k+
vn.py7 algoritmos

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

Pythonfuturesstock★ 24k+
OctoBot3 algoritmos

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

Pythoncrypto★ 3k+
AI Hedge Fund4 algoritmos

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

Pythonstock★ 25k+
Bibliotecas solo de framework (sin estrategias prediseñadas)
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.