Financial Analysis
Showing 16 of 16 projects
An open-source AI agent platform for financial analysis, automating equity research, algorithmic trading, and risk assessment using LLMs.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A Python library for calculating common financial risk and performance metrics used in quantitative finance.
A pandas DataFrame wrapper for calculating over 70 stock market indicators and statistics with inline column access.
A Rust plotting library powered by Plotly.js for creating interactive and static visualizations.
A Rust plotting library powered by Plotly.js for creating interactive and static visualizations.
A modern, high-performance technical analysis library built in Rust with Python and WebAssembly bindings.
A comprehensive Rust library for technical analysis, providing common indicators, methods, and an interface for custom indicators.
Analysis of High Frequency Trading patterns and strategies on Bitcoin exchanges using Jupyter notebooks.
A Python library and CLI tool for managing investment portfolios following Bogleheads principles.
A header-only C++ library for creating interactive data visualizations using the Plotly.js figure spec.
A collection of custom indicators, utilities, and configuration files for the Gekko cryptocurrency trading platform.
A deterministic stock price prediction algorithm that uses pattern recognition in historical data, inspired by LSTM.
A simple and extensible Ruby gem for sentiment analysis with customizable analysis strategies.
A backtesting project comparing bt and Quantopian Zipline frameworks for cryptocurrency trading strategies.
Compares stacked ensemble learning against individual ML algorithms for stock market trend prediction using Python.
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