About this skill

Problem

Personal trend trading often mixes market reading, position discipline, and review into one emotional process: you may identify a trend but exit early, react to drawdowns impulsively, or apply the same signal to a stock in a main uptrend, a post-peak drawdown, or a profit-protection state. Jarvis splits this into repeatable checks and outputs the current stage, triggered rules, and the discipline action to consider.

How it works

Six-layer rulebase: covers philosophy.md, macro.md, theme-industry.md, technique.md, position-risk.md, and review.md.
Data fallback chain: uses investoday MCP first, then akshare via fetch_market.py, then WebSearch; supports index, stock, margin/advancers-decliners, and sector queries.
Stage-first checks: determines whether a stock is in a main uptrend, drawdown, extreme zone, profit-protection state, or rebound framework before applying rules, reducing mechanical “sell” labels.
Four workflows: single-stock analysis, recap screening, trading plans, and position risk checks, each ending with a disclaimer and rule traceability.

Screenshots

Use Cases

Review indexes and sectors first, then tag RSI stages and divergence signals for a watchlist to produce tomorrow's focus list.
When a position has large unrealized profit, check profit-protection stage, drawdown base, and withdrawal discipline instead of mechanical sell labels.
When planning weekly trades, verify market phase, margin-balance warnings, holding triggers, and invalidation conditions to produce a plan table.
When analyzing one stock, check macro, theme, technical, and position rules in order to output its rule position, triggered rules, and action type.

Best For

Individual trend traders who want to replace emotional calls with stage-based rule checks.
A-share retail investors who need a fixed eight-step recap and sector/stock strength ranking.
Swing traders with weak position discipline who need drawdown, stop-loss, single-stock cap, and cash checks.
Advanced learners who want to understand RSI, volume, and theme factors through a structured rulebase.

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