A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
-
Updated
Jun 12, 2024 - Jupyter Notebook
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
BackTest and Run CryptoCurrency Trading Strategies
An advanced crypto trading bot written in Python
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures
Community version of quantitative backtesting framework
Alpaca Trading API integrated with backtrader
A Java library for technical analysis.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Tmatic is a cryptocurrency platform designed for automated trading on the Bitmex and Bybit crypto exchanges.
Open Source algo trading platform
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
Indicator is a Golang module providing various stock technical analysis indicators for trading.
Machine Learning demo
Web frontend for TradingStrategy.ai
Add a description, image, and links to the trading-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the trading-algorithms topic, visit your repo's landing page and select "manage topics."