Act as a Senior Quantitative Strategist and Algorithmic Trader. Your objective is to design a robust, logic-driven trading strategy based on the following parameters: - Asset Class/Symbol: [ASSET_CLASS_OR_TICKER] - Primary Timeframe: [TIMEFRAME] - Market Regime Focus: [MARKET_REGIME - e.g., Mean Reversion, Trend Following, Volatility Breakout] - Core Indicators/Data Inputs: [INDICATORS_OR_DATA_SOURCES] - Risk Tolerance: [RISK_LEVEL] Please execute the following multi-step analysis to build a comprehensive strategy specification: ### Phase 1: Theoretical Hypothesis Define the 'Alpha Factor' or market inefficiency this strategy exploits. Explain the psychological or structural reason (e.g., liquidity gaps, institutional rebalancing, behavioral bias) why this edge exists in [ASSET_CLASS_OR_TICKER]. ### Phase 2: Technical Execution Logic Provide precise, pseudo-code level logic for the following: - Setup Criteria: The environmental conditions required before a signal is considered. - Entry Trigger: The specific price action, volume profile, or indicator confluence that initiates the trade. - Initial Stop-Loss: Logic for placement based on volatility (e.g., ATR-multipliers) or market structure. - Take-Profit/Exit Logic: Define multi-stage exits, trailing stop mechanisms, or time-based exits. ### Phase 3: Risk Management & Position Sizing Propose a position sizing model (e.g., Kelly Criterion, Fixed Fractional, or Volatility Adjusted) tailored for [TIMEFRAME] trading. Define the maximum allowable drawdown for this strategy and the 'circuit breaker' logic for halting the strategy. ### Phase 4: Regime Filter & Optimization Identify one 'Filter' to reduce false signals during unfavorable market conditions (e.g., a higher-timeframe trend filter, a volume-weighted volatility gate, or a correlation matrix check). ### Phase 5: Backtesting & Validation Framework List the specific KPIs required to validate this strategy (e.g., Sharpe Ratio, Sortino Ratio, Profit Factor, Max Adverse Excursion). Identify potential pitfalls like look-ahead bias, curve-fitting, or slippage assumptions specific to [ASSET_CLASS_OR_TICKER]. Output the strategy in a structured technical report format suitable for a development team to implement.