Ch. 9Strategy #362

Strategy #362

Ornstein-Uhlenbeck Mean Reversion

Entry Logic

  • Long Entry: The price of an asset deviates below its long-term mean, as modeled by an Ornstein-Uhlenbeck (OU) process.
  • Short Entry: The price of an asset deviates above its long-term mean, as modeled by an OU process.
  • Confirmation: The model indicates a high probability of reversion.
  • Timeframe: Varies.
  • Location: At a statistically significant deviation from the mean.
  • Market Condition: Mean-reverting.

Exit Logic

  • Profit Target: The long-term mean of the OU process.
  • Scaling Out: No.
  • Trailing Stop: No.
  • Signal Failure: Exit if the price continues to deviate.
  • Opposite Signal: Not applicable.
  • Time Expiration: Based on the parameters of the OU process.
  • Momentum Loss: Exit if the reversion stalls.

Stop Loss Structure

  • Hard Stop: A pre-defined maximum deviation.
  • Soft Stop: If the parameters of the OU process change significantly.
  • Max Dollar Loss: Varies.
  • Max Percent Loss: 3%.
  • Structural Stop: Not applicable.

Risk Management Framework

  • Risk Per Trade: 1.5%.
  • Daily Limit: Not applicable.
  • Weekly Limit: 5%.
  • Max Drawdown: 15%.
  • R:R Requirement: 2:1.

Position Sizing Model

  • Sizing Approach: Based on the parameters of the OU process (mean, volatility, and speed of reversion).
  • Volatility Adjustment: Yes.
  • Conviction Sizing: No.
  • Scaling In: No.
  • Scaling Out: No.

Trade Filtering

  • Market Conditions: Only on assets that can be accurately modeled by an OU process.
  • Setups: Based on the output of the OU model.
  • Instruments: Pairs spreads, interest rates, volatility.
  • Time Restrictions: None.
  • Chop/News Avoidance: Yes.

Context Framework

  • Trend Direction: Not applicable.
  • VWAP Relationship: Not applicable.
  • MA Relationship: Not applicable.
  • Range Location: At an extreme of the asset's range.
  • Higher TF Alignment: Not applicable.

Trade Management Rules

  • Breakeven: No.
  • Scale Out: No.
  • Add Size: No.
  • Fast vs Slow Moves: The speed of reversion is a parameter of the model.

Time Rules

  • Optimal Window: Any.
  • Times to Avoid: None.
  • Session Notes: A very advanced quantitative strategy.

Setup Classification

  • A+ Setup: A large deviation with a high speed of reversion.
  • A Setup: A moderate deviation.
  • B Setup: A small deviation or a slow speed of reversion.
  • C Setup: The asset cannot be modeled by an OU process.

Market Selection Criteria

  • Instruments: Assets that show strong mean-reverting tendencies.
  • Volume: High.
  • Volatility: Any.

Statistical Edge Metrics

  • Win Rate: 60-70%.
  • Avg Win: 2R.
  • Avg Loss: 1R.
  • Profit Factor: 2.1.
  • Expectancy: +0.6R.

Failure Conditions

  • Market Conditions: A change in the underlying dynamics of the asset that makes the OU model invalid.
  • Specific Scenarios: A shift from a mean-reverting to a trending regime.

Psychological Rules

  • Discipline: Requires a complete reliance on the mathematical model.

Advanced Components

  • Regime Detection: The OU model itself is a form of regime detection.
  • Filters: Use statistical tests to validate the model's assumptions.
  • Correlation: Not applicable.
  • MTF Alignment: Not applicable.

Location

  • Strongest: In markets with a clear and stable mean-reverting structure.
  • Weakest: In trending or unpredictable markets.