Showing 141-160 of 234 projects
Unofficial documentation of the private API for the Robinhood brokerage platform, useful for algorithmic trading.
A Python-based quantitative trading platform for developers interested in algorithmic trading.
This is a basic campus second-hand trading platform built with Java, not focused on AI coding tools.
fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.
A machine learning repository for quantitative finance and asset management strategies.
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
A newsletter focused on quantitative and algorithmic trading, portfolio analysis, and investing.
A TypeScript-based system for algorithmic trading and investing in the stock market.
A Python AutoML library for building trading systems and sports betting models.
A Python-based bot that sends TradingView alerts to various platforms like Telegram, Discord, Slack, and Twitter.
An open-source cryptocurrency exchange platform built with Java Spring Cloud microservices.
A comprehensive collection of resources for TradingView Pine Script, a powerful tool for algorithmic trading.
A Rust library for quantitative finance, including tools for machine learning, option pricing, and trading.
A fully functional Binance trading bot that uses news sentiment analysis to inform crypto trading decisions.
An intelligent trading bot that generates signals and trades using machine learning and feature engineering.
An open-source Python framework for implementing the Chanlun technical analysis methodology, supporting trading strategies and visualizations.
A modern, feature-rich cryptocurrency trading bot framework written in Go.
A Postman collection for interacting with the Binance public API for crypto trading.
A Python library for cryptocurrency trading, including strategies, backtesting, and portfolio management.
A repository for a Jupyter Notebook project focused on machine learning for algorithmic trading.
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