Showing 21-40 of 47 projects
A modern finance application offering advanced market analytics, investment research, and economic data tools.
A Python library for quantitative trading, focused on tools and strategies for algorithmic investing.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
Easily build, backtest, and deploy algorithmic trading strategies across stocks, crypto, and forex with a powerful Python framework.
A Python-based backtest engine for investment management
A Python library for portfolio optimization using scikit-learn and convex optimization techniques.
A Python library for finding big moving stocks using machine learning and anomaly detection.
A Python library for extracting financial data from Investing.com, a popular investment platform.
A TypeScript-based financial agent for investment research and analysis.
This R library provides historical investment returns analysis for the overall stock market.
A Python-based personal quantitative investment research and analysis package for financial market data and backtesting.
A Python library for financial portfolio management, analysis, and optimization.
A TypeScript-based system for algorithmic trading and investing in the stock market.
A newsletter focused on quantitative and algorithmic trading, portfolio analysis, and investing.
This repository contains stock market models and tools for financial analysis and investment.
Educational notebooks on quantitative finance, algorithmic trading, financial modeling, and investment strategy.
A Python library for easy backtesting and trading automation across various financial markets.
A Python-based platform for building and optimizing automated trading systems.
A collection of resources for quantitative finance, including factor-based stock quantitative framework and AI-finance related materials.
A technical guide to making money and investing, not a developer tool for vibe coders.
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