Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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Updated
Jul 7, 2026 - Jupyter Notebook
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization in Python
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
A program for financial portfolio management, analysis and optimisation.
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.
🦉 Augur — 本地优先的投资研究记忆系统:18 位投资大师独立分析 + 加权共识,证据带时间语义、每次运行可复查,CLI / Dashboard / MCP。A local-first research memory system with 18 investor personas.
Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python
Оценка эффективности инвестиций и трейдинга с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
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.
Portfolio Construction and Risk Management book's Python code.
A sentiment analyzer package for financial assets and securities utilizing GPT models.
MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)
Displays corporate earnings and fundamentals in the easy to analyze format
完全自动化的国际新闻抓取、分析和通知系统。系统每天自动抓取世界各地的权威新闻源,使用大模型进行深度分析,预测世界局势并给出投资建议。
提取财经新闻标题、链接整合排列后写入表格
SilverFir: Investment Report 🌲 Инвестиционный отчёт в гугл доках, куда можно добавить любой актив и скачивать цену автоматически
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
detecting regime of financial market
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