thesis before trade behavior checker

The problem

Traders often execute orders based on emotional impulses, social media hype, or sudden price spikes rather than logic. Without a forced cooling-off period, these behavioral biases lead to avoidable losses and poor risk management.

What it does

• Audits trade proposals against five core behavioral biases: panic, herd behavior, overconfidence, market timing, and price-driven reactions.
• Enforces a mandatory "Pass/Fail" scoring system for every proposed entry or exit.
• Hard-blocks trade execution if the user cannot provide a defensible rationale beyond momentum.
• Requires a written thesis to resolve failures, forcing a shift from emotional to analytical thinking.

Why this beats prompting it yourself

A simple prompt often agrees with the user's excitement. This skill is coded to be adversarial, specifically looking for FOMO and social proof triggers that generic LLMs might overlook. It provides a consistent, structured audit trail that treats "gut feelings" as failures by default.

Use cases

• Pre-trade auditing to prevent FOMO entries on tokens or stocks that have already pumped.
• Risk management checks when you feel the urge to "revenge trade" after a loss.
• Objective vetting of trade ideas sourced from social media or group chats.
• Forcing discipline when overriding an existing long-term strategy.