基于Python的投资组合/股票小工具,从雅虎财经获取数据,计算不同类型的风险价值(VaR)指标及许多其他(事后)风险/回报特征,涵盖个股和投资组合、独立及基于wxPython构建的基准测试
sp500-real-time-data 开源项目推荐(15 个)
sp500-real-time-data 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 全部 15
GitHub 共 15 个仓库,已全部展示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.
A free Discord bot that pulls and organizes data from two sources, a list of the S&P 500 index from Wikipedia (as it's a commonly updated sources), and a configurable API (currently Finnhub) tracking SEC Form 4 reporting. SEC Form 4 pertains to insider trading, which can be used as a research source prior to making market decisions.
Data scraping approach - storing S&P 500 data (both historical and real-time) for intervals 1-minute, 5-minute, 30-minute and Daily; and update it periodically. Data is via Alpha Vantage API. The hopeful vision of this project is for the data fetched to be used for any related form(s) of Data Analysis
Applied Basic Machine Learning on List of S&P 500 Companies using Yahoo Finance
This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.
A backtesting and performance analysis package
Do ML models beat HAR at forecasting S&P 500 volatility? Six models, 300 out-of-sample dates, Diebold-Mariano tests. Answer: no. MSc dissertation, Cardiff University.
S&P 500 Real-Time Dashboard — Multi-source news, technical analysis, pattern matching, SEC filings
S&P 500 next-day movement predictor using Random Forest, VIX, and real-time news sentiment (NewsAPI + Groq/Llama 3.3). Includes walk-forward backtesting and a live Streamlit dashboard.
That tool extracts an average score of all stocks in the SP500 index from Yahoo Finance and produces the xlsx file with all the stocks' scores. The tool can be used so to quickly find the most ambitious stocks according to yahoo finance experts
To find out the true impact of tweets associated with a given company's ticker abbreviation on their daily stock trends, either positive or negative.
S&P 500 Stock Dashboard
Projects, etc.
📊 S&P500 Market Direction Predictor built with Python, Jupyter and Random Forest Classifier.
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 15 个项目;原始页面见 https://github.com/topics/sp500-real-time-data。
- 该话题在 GitHub 上共有 15 个仓库, 本站收录的是其中最热门的 15 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 15 个项目累计 252 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
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