An advanced crypto trading bot written in Python
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Updated
Dec 10, 2024 - 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.
A header-only C++ library for interacting with crypto exchanges. Bindings for Python, Java, C#, Go, and Javascript are provided.
IBeam is an authentication and maintenance tool used for the Interactive Brokers Client Portal Web API Gateway.
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 [irc: Libra #tradeframe ]
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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