sector-rotation

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RRG-Lite is a Python CLI tool for displaying Relative Rotation graph (RRG) charts.

Relative Rotation Graphs (RRG) for Indian stock markets (NSE, NIFTY) to track sector rotation and relative strength. Uses RS-Ratio and RS-Momentum to identify outperforming and weakening sectors, based on the Julius de Kempenaer RRG methodology, adapted for Indian equity markets

Interactive RRG dashboard for NSE sector indices powered by OpenAlgo

A 股 AI 产业链轮动扫描 | 板块量能 + 个股诊断 | Tushare Pro + GitHub Actions 每日自动更新面板

7-signal financial text classifier for Reddit posts and market news — sentiment, directionality, quality, sarcasm, relevance, sector rotation. Free tier, no credit card.

한국 주식 섹터 순환매 분석 툴 (KRX API + 뉴스 내러티브 + 알림)

a-share sector-rotation rrg streamlit plotly quantitative-finance market-dashboard

An interactive Python application for visualizing the relative strength and momentum trajectories of Indian sector indices against the Nifty 50 benchmark using Relative Rotation Graphs (RRG®).

Relative Rotation Graphs (RRG) platform for NSE Indian sector indices benchmarked against Nifty 50, featuring Weekly & Daily 20D/5D EMA smoothing, rotation trails, and CSV data export.

NSE market & sector breadth dashboard (Streamlit). For every index, sector and industry: % / count / market-cap share of stocks above SMA 20/50/100/200, RS 55 > 0 vs Nifty 50, and RSI > 50 — any date, with weekly change, trend charts and stock drill-down. Updates daily from NSE bhavcopy + Definedge.

Sector rotation trading strategy that identifies and invests in the strongest performing market sectors using the MetaSync API.

📈 Multi-dimension stock analysis for US / A-share / HK markets: 10-dimension scoring, sector rotation radar, market regime traffic light. No API keys. 美股/A股/港股十维分析:行业轮动+大盘红绿灯,免Key开箱即用

A-share quantitative paper-trading platform with declarative custom strategies, dynamic risk/allocation, T+1-aware execution, deterministic replay and auditable evolution.

BSc dissertation on sector-rotation forecasting. Evaluates 14 momentum filters across 3 investment horizons using Machine Learning ensemble models on SPDR sector ETFs.

Automated 11-sector ETF screener using seasonality, economic-cycle fit, relative strength, and a 15-year backtest.

Demonstrating Sector Rotation Dynamics through Timely Identification of Stock Bottoms of Various Sectors

Classifies market history into named macro regimes from FRED data, then backtests how each sector ETF has performed in each regime since 1999.

11-strategy quantitative portfolio grounded in peer-reviewed research and original Greater Aurora Theory (GAT). Covers pairs trading, volatility regimes, PEAD, VPIN, overnight drift, ML return prediction, FinBERT NLP, RL deep hedging, and neural IV surface calibration.