Trading in the crypto space, technical analysis and on-chain metrics are like left and right hands — both are indispensable. Only by combining these two tools can we truly see through the market.



Why are the indicator systems in the crypto world different from traditional finance? The biggest differences are: 24/7 operation, large price fluctuations, and fully transparent on-chain data. Because of this, we can't rely solely on classic technical indicators; signals from on-chain data often react to market movements earlier.

Let's start with the most basic — technical indicators.

**How to Use Technical Indicators**

Price, volume, and time — these three dimensions of data generate all technical indicators. Their core function is to identify trends, judge momentum, and spot overbought or oversold opportunities. Whether you're doing short-term trading or planning medium- to long-term positions, these indicators are essential knowledge.

**Moving Averages (MA) Are the Starting Point**

A moving average is calculated by summing the closing prices over a certain period and then dividing by the number of days, resulting in an average line. This concept sounds simple, but its practical effect is huge — it filters out short-term price noise, helping you see the true market trend.

Take BTC as an example. The 30-day moving average (30MA) sums the closing prices of the past 30 days and divides by 30, updating this calculation daily. This way, you can see whether BTC is trending up or down over a longer time frame.

**How to Set Parameters Correctly**

Parameters for moving averages are crucial. Different trading cycles and styles require completely different settings. Short-term traders prefer short cycles like 10-day or 20-day to quickly capture market changes. Medium- and long-term traders use longer cycles like 50-day, 100-day, or 200-day. In the 24/7 crypto market, there is much more flexibility in adjusting these parameters compared to traditional markets — and this is one of the advantages of crypto trading.
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GateUser-a180694bvip
· 01-13 11:24
Understanding on-chain technical data is important, but to be honest, most people still get caught off guard, and tweaking parameters is all in vain.
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BTCRetirementFundvip
· 01-12 10:46
That's right, but I'm more concerned about on-chain data now. MA tricks are easily manipulated to cause dumps. Talking about theory is one thing, but actual operation depends on the movements of large wallet addresses. No matter how perfect the MA parameters are, they can't avoid black swan events. It's better to focus on whale addresses. It looks very professional, but 99% of people set the parameters incorrectly. I've used this theory before, but the effectiveness really depends on your mindset.
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APY追逐者vip
· 01-11 08:51
That's what they say, but in reality, making money still depends on mindset and execution.
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QuietlyStakingvip
· 01-11 08:50
The left and right hand theory sounds good, but honestly, on-chain data can sometimes lag behind. Relying solely on on-chain analysis can lead to severe losses. This guy simplifies MA too much. In actual trading, blindly applying fixed parameters to templates is the real start of losing money. Technical analysis is indeed important, but don’t treat it as a religion... No one can sustain a 24-hour market. Moving averages and price interactions happen all the time; it's better to pay attention to abnormal trading volumes. No matter how flexible the short-term parameters are, they can't avoid sudden black swan events. This guy's ideas are still too idealistic. It feels a bit like old talk. The crypto market probably can't survive long relying solely on technical analysis.
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CryptoPhoenixvip
· 01-11 08:35
That's right, but I still think on-chain data is more attractive. Technical analysis can easily be deceived by the main players, and on-chain data can't be escaped.
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OnchainFortuneTellervip
· 01-11 08:25
Well said, but can on-chain data really react earlier than technical analysis? I still think it depends on the specific coin, sometimes whale movements can't be fooled at all.
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