Recently, many people have been asking how to use MACD, so I’ll organize my understanding of this indicator. To be honest, MACD looks complicated at first glance, but once you grasp the core logic, its performance in real trading is quite good.

Let me start with my own observations. In December last year, when I was looking at Ethereum, the MACD's fast line DIF crossed below the slow line DEA, forming a death cross. At that time, many people hadn’t reacted yet, and the price retraced over 60%. Conversely, on April 13 this year, DIF crossed above DEA, forming a golden cross, and Ethereum then started a beautiful upward trend. These two cases are actually the most classic trading signals of MACD.

So, what exactly is MACD? Its full name is Moving Average Convergence Divergence. In Chinese, it’s called Smoothed Moving Average Divergence. It consists of three parts: the fast line DIF, the slow line DEA, and the histogram. These three components each serve their purpose, helping us judge trends and capture momentum changes.

The fast line DIF is the most responsive line in MACD. It is calculated by subtracting the 26-period EMA from the 12-period EMA. Because DIF reacts quickly to price changes, it allows us to catch short-term movements. When DIF rises, it indicates increasing short-term momentum; when it falls, momentum is weakening. The slow line DEA is like a smoothed version of DIF. It’s a 9-period EMA of DIF, used to filter out noise and provide a more stable trend confirmation. The histogram simply shows the difference between DIF and DEA; higher bars indicate stronger momentum.

Regarding calculation methods, the core is actually EMA (Exponential Moving Average). Unlike simple moving averages, EMA gives more weight to recent prices, making it more sensitive to recent changes. For example, to calculate a 12-period EMA, the smoothing factor α = 2 / (12 + 1) ≈ 0.1538. The formula is: "Today’s close × α + Yesterday’s EMA × (1 - α)."

Here’s a practical example: looking at Ethereum’s candlestick chart, suppose on a certain day, EMA 12 is 4271.55, EMA 26 is 3941.88, then DIF = 329.67. Next, to calculate DEA, assume yesterday’s DEA was 250.86, and using α = 0.2, today’s DEA = 329.67 × 0.2 + 250.86 × 0.8 = 266.62. Finally, the histogram value = 329.67 - 266.62 = 63.05. That completes a full set of MACD data.

However, I want to emphasize that MACD is not foolproof. A golden cross doesn’t necessarily mean the price will go up, and a death cross doesn’t guarantee a decline, because all indicators have some lag and can contain noise. It’s best to use MACD in conjunction with other technical analysis tools. Also, MACD parameters are adjustable. For short-term trading, you might try (5, 13, 5); for long-term analysis, (50, 200, 20). Changing parameters affects sensitivity, so it’s recommended to backtest and find the most suitable settings for yourself.

In summary, the core value of MACD isn’t just in the indicator itself, but in how flexibly you apply it. Improving win rates ultimately depends on practical review and experience accumulation. If you’re interested, try opening MACD on Gate or other trading platforms, analyze several months of data repeatedly, and gradually find your own trading rhythm.