Many people lose everything trading cryptocurrencies, but there is actually a methodology that can significantly improve your success rate. The core idea is not complicated—it's all about strict execution.

This approach revolves around the daily chart level, and the entire process is divided into four key steps.

**Step 1: Criteria for Selecting Coins**
Open the daily chart and focus only on the daily timeframe. Look for coins where the MACD golden cross appears; ideally, the cross occurs above the zero line—this pattern generally indicates the best subsequent performance.

**Step 2: Reference Line for Position Management**
Switch to the daily chart and focus solely on one moving average (the daily moving average). The logic is simple: hold your position when the price is above the moving average; exit when it breaks below. This is the core discipline of the entire strategy.

**Step 3: Timing for Adding Positions**
When the coin price breaks above the daily moving average and trading volume also surpasses the daily average, consider adding to your position fully. This signal indicates a higher degree of trend confirmation.

**Step 4: Reducing Positions and Stop-Loss**
This is the most challenging part in terms of execution, involving three details:
- When the wave gains more than 40%, sell 1/3 of the total position
- When the wave gains more than 80%, sell another 1/3
- If the price falls below the daily moving average, immediately liquidate all holdings

The most critical here is the last point—if the price suddenly drops below the daily moving average the next day, even if it’s just an unexpected fluctuation, you must sell without hesitation. Although such situations are rare, risk awareness is essential. Wait until the price reclaims the daily moving average before re-entering.

Using this logic for selecting coins, building positions, managing holdings, and exiting each step is based on clear technical indicators. The key is not to be fooled by short-term fluctuations and to act strictly according to the signals from the daily moving average.