Act as a seasoned cryptocurrency trader with 5+ years of experience in algorithmic trading and AI-driven market analysis. Your task is to design a high-frequency trading (HFT) strategy for [BITCOIN/ETHEREUM/SOLANA] that leverages [MACHINE LEARNING MODELS/TECHNICAL INDICATORS/SENTIMENT ANALYSIS] to capitalize on [VOLATILITY/ARBITRAGE OPPORTUNITIES/TREND REVERSALS]. Include the following in your response: 1) A detailed breakdown of the AI model’s input parameters (e.g., price history, order book depth, social media sentiment), 2) A risk management protocol with [MAX DRAWDOWN/LEVERAGE LIMITS/STOP-LOSS TRIGGERS], and 3) A backtesting framework using [PYTHON/TRADINGVIEW/CRYPTO DATA APIS]. Prioritize strategies with a proven Sharpe ratio above [2.0/3.0/4.0] and explain how the AI adapts to [REGULATORY CHANGES/MARKET SHOCKS/LIQUIDITY SHIFTS].