3 Questions to Improve Your Trading Survival Rate—You Think Buying $BTC Is Enough to Get Started?
You think the hardest part about top schools is getting in? ETH Zurich is the opposite: for Swiss and German students who meet the requirements, the admissions threshold isn’t as high as you imagine—the real cruelty is in graduating. This also holds true in the crypto market: buying $BTC , $ETH or $BNB only takes a few clicks; whether you can stay in the market long-term tests your risk control, not how fast you enter. Taking ETH Zurich’s computer science program as an example, the original material says the non-graduation rate is about 50%. If you fail in your first year, you can retake the year; but if you fail again, you can’t continue studying computer science in Switzerland—you can only switch majors or go to a school with relatively lower theoretical difficulty. The way it screens people isn’t by locking the door shut; instead, it keeps testing you through the courses and exams.
Use 3 metrics to see how $SOL is thriving—don’t mistake bot-fueled volume for real users
A single user trades 217 times a day—can that really prove that a chain is thriving? See $SOL : if you only focus on transaction volume and active addresses, you might be mistaking the “busyness” created by bots for genuine demand. In the July 26 data cited for the material, $ETH the mainnet has about 376,300 daily active users and 1.1 million transactions—about 2.92 transactions per user. Solana has about 1.3 million daily active users and 282.2 million transactions, which is as high as 217 transactions per user. Lower fees can indeed increase transaction frequency, but such a huge gap also suggests that automated trading bots, volume inflation, and meme-coin trading may account for a significant share.
3 Steps to Understand $BTC Fund Flows—What People Who Only Watch Candlestick Charts Can Easily Miss?
Have you also been staring at the candlestick chart for a long time, yet always feel like the price moved—but only later realize what actually happened? Contrary to common sense, the most valuable part of on-chain data isn’t how large a single transfer is, but whether you can understand “who transferred money to whom.” Blockchain records addresses, amounts, time, and transaction paths, but addresses are usually just strings of characters. Without labels, when you see a transfer of 10,000 coins $BTC , you only know that the funds moved; you gain analytical value when you know the sender is an institutional address of some kind and the recipient is an exchange wallet. For ordinary people looking at on-chain funds, you can follow these 3 steps.
3-step filter to find strong coins—stop worrying about which one to watch among a screen full of options
Do you also watch a bunch of coins—when they’re rising, you don’t know who to chase, and when they’re falling, you don’t know who to keep? What really needs to be addressed isn’t “which one to buy,” but how to find the direction that the market’s money is more willing to go toward. A simple approach: only compare trend, strength, and liquidity. 1. First look at the weekly chart structure Shift your focus of the observed asset to the weekly chart, and only keep those where highs are gradually rising and lows are also gradually rising. If it’s still repeatedly consolidating near the bottom, or if the highs and lows keep moving down, don’t participate first. This step isn’t about predicting up or down. It’s about limiting your trading range to an uptrend structure. For example, when observing $BTC , $ETH and $BNB , use the same timeframe and the same criteria for comparison. Don’t subjectively assume that one coin is “cheaper” just because it has fallen more.
A nearly sevenfold valuation gap reveals the truth: what you’re seeing is Changxin’s value—or a leverage bubble?
The same company: A-share issuance valuation is 579.2 billion yuan, yet its overseas crypto contracts were once priced at nearly 4 trillion yuan. A nearly sevenfold valuation spread looks exciting, but the easiest pitfall is to treat the contract price as the real value of the stock. This “CXMT” is not tied to Changxin Technology’s actual equity; instead, it is a Pre-IPO perpetual contract settled in $USDC , with up to 5x leverage. It surged from $5 to $8.64, reflecting not only transaction demand after overseas capital participation was limited, but also the effects of leverage, liquidity, and FOMO sentiment. The price then fell back to $6.94, further showing that it is a high-volatility expectation market—not an official stock price.
3 Steps to Avoid the Celebrity Trap: The $ETH You’re Watching May Just Sound More Stable
Do you also assume that if the name is impressive enough and the ranking is high enough, then it must be more suitable for you? A PhD direct-admit student who entered the Computer Science Department of ETH Zurich in autumn 2021 concluded a few years later: top resources don’t necessarily make up for a wrong direction. This judgment also applies to the crypto market. When studying $ETH , don’t just ask whether it’s strong—also ask whether it matches my goals. Determine whether it matches by looking at three things. 1. First, write clearly what you actually want. Want to do cutting-edge research, gain industrial experience, and want training from a top university—these are three different goals. Likewise, long-term focus on ecology, catching market opportunities in phases, and pursuing low volatility are not the same thing. If you haven’t clearly defined your goals, the so-called “good assets” are just an empty label.
Understand $ETH with a three-layer view—don’t mistake familiarity for research
Have you ever had this feeling: seeing the three letters “ETH” makes you think you’ve already understood $ETH ? The same abbreviation can refer to ETH Zurich as well as Ethereum. Knowing the name doesn’t mean you’ve understood the asset. In the market, familiarity can sometimes make people skip research. To judge whether a coin value is worth continuing to watch, you can use the “three-layer breakdown method.” This is not a buy/sell conclusion—it’s a tool for filtering out noise. 1. First, break down the narrative Ask yourself: Are you paying attention to $ETH because you truly understand it, or because it’s famous and widely discussed? Likewise, when you see the “digital gold” narrative of $BTC or the ecosystem narrative of $BNB , don’t accept it right away. First, translate a slogan into a concrete question: What need does it solve, who is using it, and how does the value translate back to the token.
3 steps to rule out high-risk Meme coins—you think you’re chasing trends, but you might not even be able to sell
Have you ever run into this: you spot a Meme coin that quickly pumps, rush in, only to find out you can’t sell—or that your holdings are already controlled by a small number of wallets early on? When looking for Meme coins, the first step isn’t guessing how much it might rise—it’s confirming whether it’s eligible to be added to your watchlist. Whether it’s on the $SOL chain, the $ETH or $BNB chains, you can do three layers of “minesweeping” first. Layer 1: Check the contract and trading permissions. Use tools like GoPlus and Token Sniffer to review the security score, contract risks, and whether the token can be sold normally. If you encounter a “Pixiu” or honey trap that only lets you buy but not sell, don’t touch it no matter how hot it is. These tools can’t guarantee absolute safety, but they can help block a batch of basic traps.
Understand on-chain funds in 3 steps—stop waiting for $ETH to pump before looking for reasons
Do you do the same? You see $ETH a sudden spike and chase the price, then go look for reasons it’s going up? It’s backwards. Ordinary investors who look up on-chain data don’t need to learn programming first—just answer three questions: where the money is, who is moving it, and whether the trading is truly active. Step one: first look at the fundamentals—don’t jump to conclusions yet. Use CoinMarketCap or CoinGecko to check market cap, trading volume, circulating supply, and listing time. The point isn’t to find the coin that has “risen the fastest,” but to rule out tokens with thin trading and incomplete information. For example: $BTC when the price rises but the trading volume doesn’t change in tandem, that signal needs further verification—you can’t judge the trend based on a single K-line alone.
3 Steps to Spot the Low-Price Illusion of Meme Coins: You Think It’s Cheap, But It’s Really Just Because the Amount Is High
Do you also think: if a coin costs only a few cents—or even less—then it’s “cheaper” than $BTC , and therefore easier to go up? This is exactly the illusion that makes Meme coins easiest to create. A low unit price doesn’t mean a low valuation, and it doesn’t mean there’s plenty of upside. To judge whether a Meme coin is truly “cheap,” look at its market cap first—not just its coin price. Market cap is roughly equal to token price multiplied by circulating supply. Many Meme coins have enormous supply, so even if the price per coin is very low, the overall market cap may not be low at all. Tokens like $SHIB create the satisfying feeling that you can hold tens of millions of tokens for just a few dollars, but holding a large number of coins doesn’t mean the asset is more valuable.
Use 3 signals to understand $ETH and $SOL—if you’re torn about which to choose, don’t just look at the price increase
Are you also stuck on this: $ETH is more stable, $SOL is more aggressive—so which one should you pay attention to? Don’t rush to guess who will “replace” whom. The truly useful comparison is to see what each chain relies on to keep capital and users. When assessing $ETH , focus on ecosystem stickiness. It established the smart-contract ecosystem earlier, so applications like DeFi and DAOs are more mature, and its market share is also higher. After shifting to PoS in 2022, the mainnet still faces issues with speed and the gas-fee experience, but for those who value maturity, asset accumulation, and ecosystem depth, these fundamentals are still worth关注.
Three Questions to See $ETH Clearly: A Big Price Drop Doesn’t Mean Value Is Gone
Have you had a similar doubt: $ETH it’s been falling for so long—does that mean the innovation is useless and waiting is meaningless? However, the price gap from 4500 to 1500 only proves that market performance is weak; it cannot directly prove that the project’s value has already disappeared. Equating “the price hasn’t gone up” with “fundamentals have deteriorated” makes it easy to turn investment decisions into emotional ones. To judge whether $ETH is still worth paying attention to, you can ask just three questions. 1. Has the core value changed? Don’t first guess whether it can reach a certain price point—instead, look at whether its ecosystem position, innovation progress, and long-term competitiveness have undergone a real, substantive change. Price decline is an outcome; deterioration of fundamentals is the reason to be wary. The two cannot be treated as equal.
Use 3 signals to tell whether $BTC has stabilized—don’t be fooled by a single support level
Are you also waiting for an “absolute bottom”—afraid that the $BTC will keep falling, yet afraid you’ll miss the train when it rebounds? What’s truly useful isn’t guessing the lowest price, but judging whether support has formed resonance. Looking at just one moving average or a single integer-level threshold, it’s easy to misread a brief pause as a bottom. When you look at the $BTC support, you can watch for three signals. 1. Historical price structure The late-2017 peak was under $20,000, and the 2022 bear-market low was around $15,000. This suggests that support may have formed near the previous high, but it’s not impossible to break. For you, the prior high is a better observation zone than the “buy when it drops” answer.
5 Steps to See Whether ETH Has a Future: You Think You’re Looking at Price, But You’re Missing Value Capture
Do you have this feeling too: in every market cycle, $BTC keeps refreshing its presence, while $ETH always seems to be half a step behind? The bulls say it’s the future foundation of finance; the bears say it’s technically outdated, expensive in fees, and its value is being siphoned away by newer chains. The problem is that both of these explanations only tell half the story. To judge whether Ethereum has a future, you can’t just look at the coin price, and you can’t directly equate “a big ecosystem” with “ETH will definitely capture value.” What really matters is: why users still choose to use it, why capital continues to stay on it, and whether these activities can ultimately be converted into demand for ETH.
5 Steps to Understand the Risk of 100x Leverage: You Think You’re Trading, but You’re Only 1% Away from Liquidation
You may also have seen screenshots like this: you put in a few thousand yuan and, in a few minutes, it turns into tens of thousands. It looks like you’ve grabbed an opportunity, but in reality, you’re only a single blink away from liquidation. Many people think that China’s strict restrictions on virtual-asset trading speculation are because it fears ordinary people buying assets that later fall. The real difficulty isn’t only the rise or fall, but how high leverage, round-the-clock trading, extreme volatility, platform risks, and gambler mentality pile on top of each other—leaving ordinary people with almost no time to correct their mistakes. Say it more precisely: limiting trading speculation and related financial activities does not equal denying blockchain technology. What needs vigilance is a set of trading mechanisms that can make people get hooked quickly, keep chasing losses, and yet are difficult to provide adequate protection.
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