market emotion decision filter

The problem

Traders often confuse market volatility with fundamental changes. Emotional impulses like FOMO or panic lead to premature exits and high-risk entries that violate established investment strategies.

What it does

• Identifies emotional triggers from price action, social media sentiment, or news headlines.
• Maps current market conditions to cycle stages like Accumulation, Markup, Distribution, or Markdown.
• Forces a structured comparison between proposed trades and original investment theses.
• Applies a mandatory 24-hour cooling-off period for decisions driven by extreme sentiment.
• Generates a decision filter report recommending whether to Proceed, Hold, or Cancel.

Why this beats prompting it yourself

This skill provides a rigorous, repeatable framework that bypasses the user's own cognitive biases. It automates the detection of linguistic "red flags" and forces the documentation of an opposite argument, which is difficult to maintain during high-stress market events.

Use cases

• Vetting a sudden urge to buy a surging asset during vertical price moves.
• Preventing panic-selling during intraday flash crashes or unconfirmed regulatory rumors.
• Reviewing position size increases when feeling overconfident during a markup phase.
• Creating a paper trail for investment decisions to improve long-term strategy.

Known limitations

Requires the user to provide their original entry/exit thesis for accurate comparison. Does not execute trades directly via API.