Python implementation of a Contrarian Trading Strategy to backtest market reversal approaches using historical stock data. Evaluate performance metrics such as profit, drawdown, win rate, and Sharpe ratio. Built with yfinance for data fetching and numpy and pandas for data analysis.
Ultimate contrarian AI skill that challenges assumptions and provides critical thinking perspectives
A production-grade MVP that challenges algorithmic bias and echo chambers in RAG systems. It audits global news and PDFs to uncover hidden risks and resilience in macro trends. Built with a Researcher–Auditor–Contrarian workflow using LangGraph, it runs locally with Ollama and OpenSearch for privacy.
Add a description, image, and links to the contrarian topic page so that developers can more easily learn about it.
To associate your repository with the contrarian topic, visit your repo's landing page and select "manage topics."