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
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.
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.
Оценка эффективности инвестиций и трейдинга с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
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。
A sentiment analyzer package for financial assets and securities utilizing GPT models.
Portfolio Construction and Risk Management book's Python code.
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
Simpack Pro 2.0: AI Investment Intelligence Platform 2026
提取财经新闻标题、链接整合排列后写入表格
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,预测世界局势并分析
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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