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Base di conoscenza open source

Algoritmi di trading open source

Catalogo oggettivo di 42 algoritmi distribuiti su 11 repository GitHub. Nessuna valutazione, nessuna raccomandazione. Solo fatti.

11Librerie
42Algoritmi
8Tipi di strategia
Rete di algoritmi

Esplora come gli algoritmi si collegano tra librerie e tipi di strategia

🧠Algoritmi di 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
Sfoglia per tipo di strategia
Machine Learning13

Gradient boosting, reti neurali, Transformer per la previsione dei prezzi

Apprendimento per rinforzo6

Agenti RL (PPO, A2C, SAC, DDPG) per decisioni di trading autonome

Market making2

Strategie di fornitura di liquidità basate sullo spread per CEX e DEX

Breakout3

Strategie di breakout di canali e bande per avviare i trend

Momentum1

Strategie di momentum tramite incroci di medie mobili e trend following

Arbitraggio2

Strategie di arbitraggio cross-exchange e spot-perpetuo

Fattore / Alpha5

Librerie di fattori alpha e strategie di portafoglio basate su segnali

Mean reversion2

Strategie DCA e di reversione contrarian

Sfoglia per libreria
Freqtrade9 algoritmi

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

Pythoncrypto★ 28k+
Qlib (Microsoft)9 algoritmi

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

Pythonstock★ 15k+
FinRL5 algoritmi

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

Pythonstockcrypto★ 10k+
Hummingbot5 algoritmi

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

Pythoncrypto★ 8k+
vn.py7 algoritmi

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

Pythonfuturesstock★ 24k+
OctoBot3 algoritmi

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

Pythoncrypto★ 3k+
AI Hedge Fund4 algoritmi

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

Pythonstock★ 25k+
Librerie solo framework (senza strategie predefinite)
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.