A-Share Hot Sector Leader Radar

Problem

When A-share sector rotation moves quickly, manually comparing sector gains, main-fund inflows, constituents, candlesticks, and technical indicators is easy to miss and hard to audit. A skill should turn this into a repeatable scan with prediction tracking.

How it works

• Sector scan: calls ths_data.py --industry-rank to collect sector gains, main-fund net inflows, volume ratio, and leading stocks, with focus on sectors showing positive gain plus fund inflow.
• Prediction loop: on each run, it checks yesterday's prediction, compares it against today's result, records hit status, and writes a new sector-rotation signal.
• Leader screening: after the user picks a sector, it fetches constituents, K-lines, and indicators such as MACD, KDJ, and RSI, then scores technicals, fund flow, and catalysts to rank top and secondary picks.
• Risk notes: each recommendation includes suggested action and key risks, so short-term fund signals are not treated as long-term buy calls.

Boundaries

This skill depends on THS data access and the local ths_data.py script. It is useful for pre-market scans, fund-flow review, and shortlisting candidates, but it is not a substitute for licensed investment advice, deep fundamentals research, or real-time trading decisions. The prediction module should be read as rule-based signal review, not a return guarantee.