🔎 📈 🐍 💰 Backtest trading strategies in Python.
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- trading-strategies
- trading-algorithms
- trading-simulator
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🔎 📈 🐍 💰 Backtest trading strategies in Python.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
A portfolio tracking, analytics, accounting and management application that protects your privacy
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Scalable, event-driven, deep-learning-friendly backtesting library
Bitcart is a free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
Python live trade execution library with zipline interface.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
Translated[Maintenance stopped] New version updates have been moved to the correspondingly named project under the IBATS project group. Connects to the Huobi exchange to get real-time and historical Huobi market data, saves it to a MySQL database and broadcasts it via Redis, for the ABAT trading platform to use for strategy backtesting, analysis, and trading.