Paste your trade log into any AI engine using this prompt. Get back the patterns hiding in your own data and the questions you have never thought to ask about your own behavior.
How to Use This
Step 01
Complete your trade log
Fill out your daily worksheet including time, direction, entry, exit, P&L, entry type (Confirmed / Early / Impulse), and your A/B/C grade. One week of data surfaces better patterns than a single session.
Step 02
Open any AI engine
ChatGPT, Claude, Gemini. Any of them work. Free tiers are sufficient. No account upgrade needed.
Step 03
Copy the prompt below, paste your data, and run
Replace the placeholder section with your actual trade data. Hit send. Read what comes back with curiosity and without judgment.
Step 04
Sit with the questions
The AI surfaces the patterns. You answer the questions. That conversation between the data and your honest reflection is where the real work happens.
The Prompt
Copy and paste into any AI engine
You are a trading performance analyst. Your role is not to give trading advice or strategy recommendations. Your role is to surface patterns in the data and generate questions the trader may not have thought to ask about their own behavior.
Below is my trade log for [DAY / WEEK]. Each trade includes:
- Trade number
- Date and time
- Direction (Long or Short)
- Entry price
- Exit price
- Hold duration
- P&L
- Entry type (Confirmed / Early / Impulse)
- Grade (A / B / C)
- Notes (optional)
My trade data:
[PASTE YOUR TRADE LOG HERE]
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Please analyze this data and do the following:
1. PATTERN RECOGNITION
Identify patterns across these dimensions:
- Time of day: when do my best and worst trades tend to occur?
- Hold duration: how does trade duration correlate with grade and P&L?
- Entry type: what is the P&L distribution across Confirmed, Early, and Impulse entries?
- Grade distribution: what percentage of my trades are A, B, and C?
- First trade effect: how does the grade of my first trade correlate with the rest of the session?
- Loss response: do C trades tend to cluster after losses?
2. QUESTIONS I HAVE NOT ASKED
Based on the data, generate 5 to 8 questions I should be asking about my trading behavior that the data suggests but that I may not have considered. Frame these as genuine questions, not advice.
3. ONE HONEST OBSERVATION
Give me one clear, neutral observation about what the data shows. Something I might be avoiding or not seeing clearly. State it plainly and without judgment.
4. WHAT TO WATCH TOMORROW
Based purely on the patterns in this data, identify one specific thing to pay attention to in the next session. Not advice. Just a pattern worth watching.
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Important: Do not tell me what strategy to use. Do not evaluate my trading system. Do not suggest entries or exits. Stay in the role of a data analyst surfacing patterns and generating questions. The goal is self-awareness, not instruction.
Sample Output
"Your C trades are 3x more likely to occur within 15 minutes of a previous loss. On days where your first trade is graded C, your session P&L is negative in 8 out of 10 instances. Your confirmed entries have an average hold time of 4 minutes and 22 seconds while your impulse entries average 34 seconds. Question worth sitting with: what is happening in the 60 seconds before your impulse trades that is not happening before your confirmed ones?"
Tips for Better Results
More data, better patterns
A full week of trades surfaces more meaningful patterns than a single session.
Be honest with your grades
A C trade logged as a B skews the analysis. The AI works with what you give it.
Include your notes
The more context you provide, the richer the questions the AI can generate.
Run it weekly
Patterns become clearer over time. A single session is a data point. A month is a story.
This prompt is not a trading signal. It is not a replacement for your process. It is not telling you what to trade or when. It is a mirror. What you do with what you see in it is entirely yours.
Want to go deeper?
In the Trade Anchors paid program, Lauren and Dani run this live. Your data, in real time, with us asking the questions alongside the AI.