Psychology and Discipline

Cognitive Biases: 10 AI prompts for finance workflows

Use these Cognitive Biases prompts to turn a loosely defined finance task into a clearer, copy-ready AI workflow.

Edit highlighted fields Copy-ready prompt

Copy-ready Cognitive Biases finance prompts

Loss Aversion and Risk Paralysis

Medium

Explains how loss aversion may reduce position sizes, delay decisions, or cause premature selling, then separates emotional discomfort from actual risk.

ID 302
Act as a behavioral-finance educator. Explain how loss aversion can affect position sizing, the sale of profitable holdings, and decision avoidance. Propose tools such as pre-agreed rules, scenarios, journaling, and pauses that may reduce paralysis without encouraging imprudent risk-taking.

Overconfidence and Skill-Illusion Risk Review

Pro

Tests whether confidence is supported by evidence or has become excessive concentration, leverage, position size, or activity.

ID 303
Act as a behavioral-risk analyst. Create an overconfidence self-assessment using observable signals: trading frequency, leverage, position size, benchmark comparison, error rate, and review of adverse scenarios. Propose rules for calibrating confidence with data and adequate sample sizes.

A System for Controlling FOMO

Medium

Builds safeguards against impulsive entries during parabolic price moves, media excitement, and social pressure.

ID 304
Act as a trading-psychology specialist. Design an anti-FOMO protocol with a pause, written thesis, data source, valuation review, liquidity check, maximum position size, and invalidation rule. Include a rule against acting when price action or social-media attention is the only reason.

Confirmation Bias and Information Filter

Beginner

Requires contrary evidence and distinguishes primary sources, analysis, and opinion before reinforcing a thesis.

ID 305
Act as a critical-thinking mentor. Explain how confirmation bias can distort an investment thesis. Design a filter that requires primary sources, contrary evidence, alternative scenarios, invalidation criteria, and a record of thesis changes. When possible, include review by someone who does not share the thesis.

Pre-Trade Emotional Checklist

Beginner

Provides a brief self-check for stress, boredom, revenge, excitement, and fatigue before putting capital at risk.

ID 306
Create six questions to ask before a trade or portfolio change. They should detect stress, urgency, boredom, revenge, lack of sleep, and deviation from the plan. For every warning response, define one action: wait, reduce size, review, or do not trade.

Pause and Review after a Loss

Medium

Interrupts an impulsive response and separates the outcome from decision quality before trading resumes.

ID 307
In no more than seven points, define a post-loss protocol covering a pause, emotional check, review of rules and execution, reduced size, and criteria for resuming. Include a condition for ending the session and seeking support if distress is intense or persistent.

Behavioral Edge versus Analytical Edge

Medium

Explains why a sound strategy can fail through behavior and how simple, consistently followed rules may create a practical advantage.

ID 308
Explain the difference between analytical and behavioral edge in investing and trading. Give examples of how execution, risk management, and discipline can negate sound analysis, then design metrics that evaluate process and outcome separately.

Long-Term Thinking and the Short-Term Noise Filter

Medium

Filters news and price moves that do not change assumptions relevant to the investor's horizon.

ID 309
Act as a long-term investing educator. Design a filter that connects each news item with horizon, cash flows, valuation, risk, and objectives. Define the evidence that would justify revisiting a thesis and the information that can be ignored as daily noise.

The Identity-Investing Trap

Medium

Explains how identity and ego can turn a financial thesis into a belief that is difficult to review.

ID 310
Act as a behavioral-finance specialist. Explain how labels such as smart investor, contrarian, or crypto believer can distort decisions. Propose rules for separating identity, thesis, evidence, and performance, plus a process for changing one's mind without treating it as personal failure.

Copy the full subcategory

Includes subcategory info, prompt IDs, descriptions, difficulty, and prompt text.

How to use AI prompts to identify investment biases

Bias review is most useful when it examines a specific decision and the evidence available at that time. The goal is to improve the process, not to diagnose a person or explain every loss after the fact.

  • Describe the decision, timeline, original thesis, alternatives considered, evidence used, incentives, and what happened afterward.
  • Ask for competing explanations, disconfirming evidence, a pre-mortem, and the information that would have changed the choice.
  • Turn the findings into a short checklist or journal field and track decision quality separately from investment outcome.