#Investment-analysis
Showing 30 of 30 repositories tagged #investment-analysis, ranked by stars
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization in Python
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Python package designed for general financial and security returns analysis.
Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
🦉 Augur — 多智能体投资分析系统。13位虚拟投资大师独立分析，加权共识机制，Bloomberg风格Web仪表盘。
Portfolio Construction and Risk Management book's Python code.
Displays corporate earnings and fundamentals in the easy to analyze format
detecting regime of financial market
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
🤖 Predict the stock market with AI 用AI预测股票市场
Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.
Code and data for my blogs
Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude Code, ChatGPT, Cursor, and other LLMs.
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
Entropy Pooling in Python with a BSD 3-Clause license.
Use bokeh as the backend, you will get richer plot effects for backtrader
An environment of open source services used for market analysis
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
Tools to analyze financial timeseries of single assets or portfolios. It is made for daily or less frequent data.
Simplified tracking of your investments
JP morgan virtual internship Quantitative Research
Buy token as soon as liquidity added (mempool monitor)
Daily kata from Quantitative Investment Portfolio Analytics In R
把定性投资判断变成可回测对象
This repository is a collection of open-source use-case examples of algorithmic or quant trading in Python.
Portfolio optimisation library.
Quant Portfolio Approach to Alpha Generation and Retention