Python library for portfolio optimization built on top of scikit-learn
portfolio-analysis 开源项目推荐(467 个)
portfolio-analysis 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 467 个仓库An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.
Self-hosted family office engine: typed Python calculators, a private SQLite ledger, and specialist agents for Claude Code and Codex. Agents propose. Typed code computes.
Optimized Python fork of Backtrader for strategy backtesting and live trading, with vectorized and event-driven modes, multi-timeframe data, technical indicators, and portfolio analytics.
研迹 Trail|本地优先的 AI 投资研究工作台。连接行情、K 线与深度研究,让判断可追溯、风险可复核。Local-first AI investment research desktop with an evidence-grounded copilot.
一个Claude代码技能,生成5个专门的AI研究代理,分析加密货币、股票、外汇和商品的投资机会。根据您的风险档案进行调整,跟踪历史准确性,并生成支持全西班牙语/英语的互动Next.js仪表盘。
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
R Shiny app to compare the relative performance of cryptos and equities.
Portfolio risk MCP: exposure values with data dates, method notes and coverage gaps.
Resources for Invest like Apo: AI investment research, LLM Wiki, Book-to-Skill, portfolio tools and QuantCorner Webull referral.
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
Compare ETF allocations with a browser-based research terminal: risk attribution, historical replay, cost scenarios and permission-aware reports.
Evidence-driven stock market analysis CLI for A/HK/US/JP/KR stocks, funds, and portfolios.
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as features in a Machine Learning model and portfolio results are evaluated and compared.
投资分析 skill 系列:11 个方法论技能 + 17 个数据源(同花顺/东财/妙想/yfinance/FMP/Tiingo/Wind/盈米/天天基金ttskill/SEC/FRED/腾讯行情等)。覆盖个股、基金、选基、债券/转债/商品/REITs、资产配置、风险管理、企业深度、宏观。三层架构:方法论/数据/呈现。
Performance attribution analysis, value investment, original investment ideas, alpha seeking
analyze financial data using python: numpy, pandas, etc.
投资组合:Co-Pilot,投资:创意生成,交易:尽职调查
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/portfolio-analysis。
- 该话题在 GitHub 上共有 467 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 5668 Star,覆盖 4 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。