【Cryptocurrency Survival Rules】Three Levels of Risk Control + Six-Dimensional Combat Strategy, the Wealth Code that Quantitative Traders are Reluctant to Disclose!
In the zero-sum game battlefield of digital currency, the true Alpha returns always belong to the few who master the core rules. This article will break down institutional-level trading strategies to help you build a robust profit system.
▍Three Principles of Risk Management (Violation Results in Exit)
1. Ban on Counter-Trend Operations
Data shows: The win rate of chasing highs and cutting losses is less than 32%. When the funding rate of BTC perpetual contracts exceeds 0.05%, it means that 97% of long positions are in a state of loss. Professional traders only initiate grid strategies when the panic index (UVI) reaches extreme values.
2. Multi-Asset Hedging Mechanism
Markowitz Portfolio Theory verifies: When the proportion of a single token holding exceeds 35%, the Sharpe ratio will drop sharply by 40%. It is recommended to allocate 60% to mainstream coins (BTC/ETH), 30% to quality second-tier projects, and 10% to stablecoins in a dynamic ratio.
3. Position Gradient Management
The position formula for top quantitative funds: Spot position = (1 - maximum drawdown tolerance / historical volatility) * liquidity premium. Ordinary investors should retain at least 30% in cash equivalents to cope with black swan events.
▍Short-Term Speculation Six-Mai Divine Sword (Institutional-Level Tactics)
1. Technical Pattern Breakout Strategy
• High-Level Consolidation: Monitor the OBV Energy Wave Indicator; if the volume decreases for three consecutive days and the MACD histogram narrows, short positions can be established.
• Low-Level Accumulation: When RSI (14) remains below 30 and NVT (Network Value to Transactions) shows a bottom divergence, initiate DCA investment strategy.
2. Oscillating Market Harvesting Rules
Historical backtesting shows: 83% of liquidations occur during horizontal periods with price volatility below 4%. Set a 15-minute Bollinger Band (2.2 times standard deviation) breakout as an entry signal, combined with RSI overbought and oversold zone operations.
3. Capturing Reverse Trading Opportunities
Establish a "Fear and Greed Index" monitoring system:
• When the bearish candlestick coverage > 70%, activate the arbitrage robot.
• Daily drop > 15% and the skew index falls below -0.5, trigger quantum long program.
4. Extreme Volatility Arbitrage Model
Introduce GARCH volatility prediction model:
• When the price volatility acceleration rate (ATR) hits a 30-day high, deploy inter-temporal arbitrage.
• In a waterfall market, if MVRV (Market Value to Realized Value) < 1.5, enable multiple position increase algorithm.