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Base de conhecimento de código aberto

Algoritmos de trading de código aberto

Catálogo objetivo de 42 algoritmos em 11 repositórios GitHub. Sem classificações, sem recomendações. Apenas factos.

11Bibliotecas
42Algoritmos
8Tipos de estratégia
Rede de algoritmos

Explore como os algoritmos se conectam entre bibliotecas e tipos de estratégia

🧠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 estratégia
Aprendizado de máquina13

Gradient boosting, redes neurais, Transformers para previsão de preços

Aprendizado por reforço6

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

Market making2

Estratégias de provisão de liquidez baseadas em spread para CEX e DEX

Breakout3

Estratégias de breakout de canais e bandas para início de tendência

Momentum1

Estratégias de momentum por cruzamento de médias móveis e seguimento de tendência

Arbitragem2

Estratégias de arbitragem cross-exchange e spot-perpétuo

Fator / Alpha5

Bibliotecas de fatores alpha e estratégias de portefólio baseadas em sinais

Reversão à média2

Estratégias de DCA e reversão contrária

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 apenas de framework (sem estratégias prontas)
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.