seven-dimensions-ultimate-daily-report

Company analysisMonitor

'Analyzes daily market sentiment across 7 dimensions (sentiment scoring, macro context, global markets, commodities, portfolio status, and prioritized action recommendations) and delivers investment advice tailored to your current holdings. Input your positions to receive daily portfolio action recommendations; issue a review command to compare against the previous day''s actual market performance and automatically recalibrate the 7-dimension weights. TRIGGER when: user asks for daily investment report, 七维度日报, 七度空间日报, 终极决策日报, 投资决策日报, daily briefing, or when the scheduled daily run fires. DO NOT USE when: user asks for single-stock analysis, portfolio risk diagnostics, or standalone macro research.'

Michael ALADUOSAO

VersionV3

Installs18Runs6

How it works

Daily Investment Decision Report — 7-Dimensional Framework

Output language: English
Default run time: 08:30 Asia/Shanghai (or post-market 15:30+)


Step 0: Self-Optimization Module

Read ${SKILL_DIR}/sentiment/history.json.

  • If it exists: compare yesterday's prediction field against actual Shanghai Composite movement. Log ✅/❌ and update cumulative_accuracy.
  • If missing: output "First run — no historical predictions to verify. Accuracy baseline will be established over time."

Step 1–7: Data Collection (execute all before generating report)

On any single failure: mark the field ⚠️ and continue. Never abort the full report.

StepDataCommand
1A-share 5 major indexesxq /stock/realtime/quotec.json symbol=SH000001,SZ399001,SZ399006,SH000300,SH000016
2US stocks + VIXxq /stock/realtime/quotec.json symbol=SPY,QQQ,DIA,VIX
3Hong Kong stocksxq /stock/realtime/quotec.json symbol=HSI,00700,09988
4Commodity ETFsxq /stock/realtime/quotec.json symbol=SH518880,SH512400,SH516160,SH515220,SH501018
5Portfolio positionsRead MEMORY.md → extract current holdings → batch xq /stock/realtime/quotec.json
6US Treasury ratesfmp /stable/treasury-rates
7Macro newswebSearch "A-share market macro news {current date}"

⚠️ Always use /stock/realtime/quotec.json/stock/quotec.json returns 403.


Part 0: Self-Optimization

Output format:

  • Last prediction date + direction + actual outcome + ✅/❌
  • Cumulative accuracy: X/Y = Z%
  • If no history:

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