An advanced crypto trading bot written in Python
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Updated
Jan 5, 2025 - JavaScript
An advanced crypto trading bot written in Python
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Portfolio analytics for quants, written in Python
QTPyLib, Pythonic Algorithmic Trading
💹 Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts. [Not Maintained]
Python client for Alpaca's trade API
Open-source Rust framework for building event-driven live-trading & backtesting systems
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Framework for algorithmic trading
Binance_grid_trader is a grid strategy bot trading with Binance Spot and Binance Futures Exchange. you can use it to trade any pair in Binance Exchange. Binance_grid_trader是一个币安网格策略软件, 目前支持币安现货,USDT合约和币币合约。
Asynchronous, event-driven algorithmic trading in Python and C++
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
IBeam is an authentication and maintenance tool used for the Interactive Brokers Client Portal Web API Gateway.
A header-only C++ library for interacting with crypto exchanges. Bindings for Python, Java, C#, Go, and Javascript are provided.
Low-latency algorithmic trading platform written in Rust
Backtest and live trading in Python
CCXT-based cross-exchange arbitrage bot operating on CEXs, entirely written in Python. Work without any transfer between exchanges.
C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram
Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average Tr…
An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!
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