volatility day playbook builder
by nowrich
Generate adaptive day-trading playbooks with volatility-based stops, targets, and risk-adjusted position sizing.
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Works with the AI tools you already use
See it in action
You say
Create a playbook for NQ on a 5m timeframe. My risk per trade is $200 and the current ATR(14) is 12.50, which is in the 85th percentile.
Your agent does
Regime: Extreme Volatility (>75th Percentile)
- Stop: 2.5x ATR ($31.25)
- Target: 4.0x ATR ($50.00)
- Size ($200 risk): 6.4 units
- Allowed: High-momentum breakouts, news trend continuation.
- Avoid: Counter-trend fades, tight scalps. Note: Slippage risk is high; use limit orders.
What you get
About this skill
The problem
Static trading plans fail when market conditions shift. Traders often blow accounts by using tight stops during high volatility or missing gains with small targets during quiet ranges.
What it does
- Classifies market regimes into quiet, normal, or extreme categories using ATR percentile analysis.
- Generates regime-specific stop and target distances mapped to current volatility.
- Calculates dynamic position sizing to maintain constant dollar risk regardless of market swings.
- Filters trade setups by volatility type, identifying when to scalp and when to trend-trade.
- Provides auto-switch triggers for transitioning between different market environments.
Why this beats prompting it yourself
This skill enforces mathematical consistency across all volatility regimes, ensuring risk-per-trade remains identical whether ATR is $0.10 or $10.00. It prevents the common error of using fixed-pip or fixed-dollar stops that ignore the actual statistical range of the instrument.
Use cases
- Build a comprehensive day-trading playbook for a specific ticker like SPY or BTC.
- Adjust position sizing and stops for a high-impact news event or earnings release.
- Define specific entry filters for low-volatility Asian sessions versus high-volatility NY opens.
- Create an execution summary for a trading journal based on current ATR percentiles.
Known limitations
Requires manual input of current ATR or price data if the agent does not have a live market data connection. Does not account for overnight gap risk or weekend slippage.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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