fomo chase entry detector

    by nowrich

    1

    Audit trading journals to detect FOMO, chasing, and rushed execution while generating actionable prevention rules.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Review this trade: I bought 200 shares of NVDA at $895 because it was ripping and I was worried I'd miss the move to $900. I didn't set a stop loss and got stopped out manually when it hit $880.

    Your agent does

    Detection Summary

    Missed-Entry Chasing

    • Evidence: Entry at $895 during a vertical move without waiting for a retest.
    • Severity: High

    FOMO-Driven

    • Evidence: "worried I'd miss the move" indicates emotional urgency.
    • Severity: High

    Prevention Rules

    1. Never enter without a pre-set stop.

    What you get

    Detect emotional chasing in past trade logsAudit trade plans for missing risk parametersIdentify root causes of rushed execution errorsCreate measurable prevention rules for trading SOPs

    About this skill

    The problem

    Traders often struggle with impulsive entries, chasing price action after a move has already occurred, and making decisions based on the fear of missing out. These psychological lapses lead to poor risk/reward ratios, oversized losses, and the degradation of a proven trading edge.

    What it does

    • Analyzes trade logs and journals to identify missed-entry chasing and FOMO-driven behaviors.
    • Audits trade execution for signs of weak planning or rushed decision-making.
    • Assigns severity scores to psychological red flags based on their impact on risk management.
    • Extracts root causes for execution errors from sentiment and price data.
    • Generates concrete, measurable prevention rules for future trade setups.

    Why this beats prompting it yourself

    General LLMs often provide vague encouragement or generic trading advice. This skill uses a structured detection framework to classify specific behavioral errors and translates them into actionable "If/Then" rules that can be directly added to a trading SOP.

    Use cases

    • Reviewing daily trade journals to identify recurring execution errors.
    • Post-mortem analysis of large losses to isolate psychological triggers.
    • Auditing a new trading plan to find gaps in risk definitions or entry checklists.
    • Refining a strategy by creating rules that prevent chasing price at specific levels.

    Known limitations

    Requires detailed input regarding trade rationale and emotions for accurate behavioral detection. It is a behavioral audit tool, not a financial advisor or live signal generator.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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