demo to live readiness coach
by nowrich
An objective auditor that evaluates demo trading data to determine if a trader is statistically ready for live capital.
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Works with the AI tools you already use
See it in action
You say
I've been paper trading my Mean Reversion strategy for 3 months. I have 85 trades logged with my entry/exit rules and notes. Am I ready to switch to a $10k live account?
Your agent does
Verdict: Conditionally Ready. Consistency: Pass (Uniform equity curve). Rule Adherence: Warning (3 instances of 'revenge trading' noted). Sample Size: Pass (85 trades). Recommendation: Trade live at 0.25% risk for 2 weeks to test emotional control before full sizing.
What you get
About this skill
The problem
Traders often confuse a lucky winning streak in a demo account with actual market readiness. Transitioning to live capital without objective verification usually leads to rapid account blowouts due to poor execution and emotional volatility.
What it does
- Analyzes trading journals to calculate win rates, profit factors, and expectancy across 50 to 100+ trades.
- Audits rule adherence by comparing individual trade executions against defined strategy parameters.
- Evaluates equity curve stability and drawdown paths to ensure performance is consistent rather than sporadic.
- Identifies unrealistic demo conditions like lack of slippage or instant fills that won't translate to live markets.
- Flags emotional triggers by scanning journal notes for revenge trading or plan deviations during volatility.
Why this beats prompting it yourself
A standard LLM prompt often gives generic encouragement or focuses only on P&L. This skill enforces a strict multi-dimensional audit, requiring statistical significance and behavioral evidence before granting a readiness verdict.
Use cases
- Conducting a pre-flight check before committing real capital to a new strategy.
- Auditing a paper trading period to identify specific execution weaknesses.
- Determining if a demo account's success is based on realistic market conditions.
- Providing objective feedback to coaching clients on their discipline and consistency.
Known limitations
Requires a minimum sample size of 50 to 100 trades for a definitive verdict. Verdicts are based solely on provided journal data and strategy rules.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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