AlphaCat

When you see “$BTC could fall to $320,000,” don’t you also instinctively think: now should I run, or wait for a bargain?
Don’t get swept along by specific entry points too quickly. What’s truly useful isn’t guessing the bottom—it’s stress-testing using historical drawdowns.
Based on the data listed in the materials: the 2017 peak was around $190,000, with the following year’s maximum decline of 84.1%; the 2021 peak was around $690,000, followed by a 77.4% drop the next year. These figures show that after the cycle weakens, $BTC has seen drawdowns of 70% or more—and this isn’t without precedent.
But the calculation claiming: “a 2025 peak of $1.26M, down 72.2%, corresponding to $320,000” doesn’t add up. If it drops 72.2% from $1.26M, the price is about $350,000; if it falls to $320,000, the drawdown would be roughly 74.6%.

$BTC set a new high of $126,000, but the blockchain narrative of faster growth over the past two years has had one of its protagonists as $SOL .
Builders’ interest in Solana surged by 78%. What’s truly worth paying attention to is not just the 400 ms block time, but how it links together “performance, products, capital, and traffic” into a low-barrier path to participate in the chain.
Performance is the foundation. Compared with $ETH where blocks are produced in about 12 seconds, with roughly 200 transactions per block, Solana currently produces blocks in about 400 ms. When activity is low, blocks include about 1,200 transactions; when activity is high, they can typically reach 2,000 to 3,000 transactions. The historical maximum single block has accommodated 43,066 transactions. For users, this means high-frequency trading and heavy on-chain operations are easier to handle.

Do you do this too? Watch $BTC —when it rises you want to chase it, and when it falls you want to sell; in the end, you don’t lose because of direction, you lose because your position sizing has no rules.
Ordinary people participating in a high-volatility market shouldn’t really learn to “guess the next candlestick,” but rather a four-position (tiered) position method: write in advance under what circumstances to go on the offensive, reduce exposure, defend, and stay on standby—then just execute during the trading session without changing your mind on the fly.
Take a stock-market strategy as an example. It uses the沪深300 stock-to-bond spread to divide into four tiers: if it’s above 6%, hold the dividend ETF; if it’s between 5% and 6%, allocate 70% to the dividend and 30% to government bonds; if it’s between 4% and 5%, adjust to 40% dividend and 60% government bonds; if it’s below 4%, switch to government bonds. Check it only on the last trading day of each month—don’t keep fussing every day.

Do you feel the same way? You dare to buy $BTC and $ETH , but you don’t dare to touch those small-cap coins that can surge 100% one day and cut in half the next.
This isn’t necessarily fear. It might be that you’ve thought it through: staying in the market for the long term is more important than catching any one sudden spike.
Compounding fears not that gains are slow, but that you can suffer a major drawdown. If a coin falls 50%, it needs to rise 100% just to break even. Even more troublesome, a single project may also face risks such as a sudden drop in liquidity, a narrative losing momentum, or team changes. Besides account losses, the emotional drain from repeatedly cutting losses and chasing after price rallies is often even harder to recover from.

If you see $ETH active addresses and trading volume rising, your first reaction might be that the fundamentals are strengthening.
But short-selling firm Culper Research warns: when the data is rising, it doesn’t necessarily mean real demand is rising.
The most worth paying attention to in this report isn’t “whether to short immediately,” but a more fundamental question: can Ethereum’s on-chain activity actually translate into value for $ETH ?
The report says that after the Fusaka upgrade increased block space, gas fees fell by about 90%, far surpassing earlier estimates of 10% to 30%. Lower costs do bring more transactions, but they also reduce the barriers to making spam transactions, address poisoning, and wallet dust attacks.

When a chain drops from $236 to $13 and still manages to return to the mainstream spotlight, it often isn’t because it “fell enough.”
To judge whether the fix for $SOL is solid, don’t just focus on a price rebound. I’d suggest looking at three indicators: whether the network can withstand stress, whether fees are reasonable, and whether developers are still active.
1. Assess network stability
Solana experienced three major network outages and multiple performance slowdowns in 2022, with one additional outage in 2023. The key fixes it later made were improving congestion control and enabling clients like Firedancer developed by different teams.

Have you ever regretted it too: you heard about $BTC all along, why didn’t you buy back then—or why did you sell too early after buying?
What really makes ordinary people miss big opportunities is usually not that the news comes too late, but that they don’t have a holding logic that can survive volatility.
Historically, $BTC has repeatedly seen drawdowns of 70% or more, and some corrections have lasted for years. Looking back from today, every low point feels like an opportunity; but when you’re in it, what you may actually face are risks from the trading platform, criticism from experts, account drawdown, and other assets continuously rising.
So, more important than finding the “next 100x coin” is building a holding checklist.

Do you also confuse “being able to get in” with “being able to stay”? Whether you’re attending a top school or buying $ETH , what usually creates the real gap isn’t the moment you enter.
When I was a technical interviewee, I encountered quite a few students from ETH Zurich. One Swiss candidate told me that getting into ETH Zurich as a local student isn’t necessarily as hard as Asian applicants might imagine, but the entrance exams and the pressure to weed people out after admission are huge—many end up dropping out somewhere along the way.
What’s most worth pondering about this isn’t “who can get the qualification more easily,” but the fact that the threshold and difficulty are fundamentally not the same thing.

When you see “annualized return over 10%,” do you also think: just buy it, right?
Hold on a moment. Focusing only on dividends or price gains—like seeing $BTC a period where it rose well, then treating past performance as future returns—most easily makes you overlook what truly affects your account: total return.
Dividend payments from a dividend ETF are not “free money.” For example, if you hold 5,500 shares and receive a dividend of 0.143 yuan per share, your account receives about 786.5 yuan; however, after the ex-dividend date, the ETF’s price typically adjusts accordingly, so in theory your total assets on the dividend day should not increase out of thin air.
What really matters is whether the NAV can recover after the dividend, and whether your holding cost has decreased. Suppose your purchase price is 3.10 yuan; after the ex-dividend date it drops to 2.96 yuan, and then later rises back to 3.10 yuan. Only then does the dividend, together with the price recovery, make up the return. If the NAV keeps falling, looking only at the cash received can easily overestimate your actual return.

$ETH Back to 3200, but the market wasn’t as lively as people imagined. While retail investors were still hesitating, Yi Lihua and Tom Lee had already been continuously accumulating chips using two completely different methods.
What’s truly worth studying isn’t “who’s more willing to bet,” but whose capital structure can better withstand volatility.
Yi Lihua follows an on-chain trend investing approach: he buys directly in the secondary market and uses borrowing to expand his position. Returns mainly come from $ETH price appreciation. The advantage is that it moves fast and is highly sensitive to market conditions; the risk is equally direct—once the price gets close to the liquidation line, leverage synchronously amplifies the pressure. That’s why later he repeatedly reminded people to stay away from futures and derivatives; at its core, he was adding discipline to high-volatility positions.

Are you also stuck on this: in 2026, can $BTC still be bought? The real question isn’t “Will it keep going up?” but “Does the current risk-reward ratio fit me for entry?”
There are still voices of doubt in the market, but that doesn’t mean the price is necessarily undervalued; just because people around you are talking about it doesn’t mean the market will top out immediately. Use emotions to judge buy/sell points, and you’re most likely to end up with two outcomes: when it drops, you don’t dare to buy; when it rises, you can’t help but chase.
To judge whether $BTC is worth paying attention to, I’d suggest looking at three signals instead.
1. Look at the price structure; don’t guess exact price levels

Have you ever run into this: $BTC you chase right after price just moves above the moving average, and cut right after it just breaks below—after going back and forth a few times, your position size doesn’t increase, but your principal keeps getting smaller?
The problem may not be the direction, but rather that you treated the choppy period as a trending market.
In the market record from February 2nd, one very typical detail was: back then, the daily MA30 repeatedly lost and regained control over roughly a month and a half. Using the method of “buy on breakout, sell on breakdown,” you could already have been shaken out and back in as many as 5 times. A single moving average can describe where the price is, but it cannot independently confirm a trend.
A more practical way to watch the market is to first look at the timeframe, then look at the position.

Do you also think that: if $BTC it really rises to $1 million, the biggest problem would surely be that early holders are too rich, and later entrants can only be the ones to raise the price?
But what’s really worth watching may not be whether wealth is concentrated, but whether this concentration can be seen.
In real life, property, equity, and offshore assets are often separated by companies, accounts, and institutional arrangements, making it hard for ordinary people to know who holds how much or when they exit.$BTC It's different on-chain: transfers are public and traceable, and large capital movements quickly come into view in the market.
This doesn’t mean absolute transparency. One address doesn’t necessarily correspond to one person, and the real identity behind an address and the purpose of transactions may not be clear either. Large transfers could reflect custody adjustments or internal consolidation, so you can’t judge that someone will dump just because you see a “whale transfer.”

Have you also seen comparisons like this? ETH has Fisher Yu, MIT has Rosalind Picard—so someone tries to use a single name to decide which school is stronger.
In the crypto market, it’s like only looking at one founder and one trending application, then deciding whether $ETH , $SOL , or $BNB is more worth your attention. The information might be correct, but the conclusions are often reached too quickly.
Useful comparisons aren’t about “who’s like Sun Wukong” or “who’s like Erlang Shen.” Instead, you should ask whether the advantage comes from a single star or an entire system. MIT is often described as a six-sided warrior, CMU is especially strong in the field of computing, and ETH has its own strengths. The metaphor may not be precise, but it highlights a key point: being strong in one spot doesn’t necessarily mean being strong overall; being strong overall doesn’t guarantee dominance in every sub-area.

579.2 billion yuan compared to nearly 4 trillion yuan—about a 7x gap. What you’re seeing isn’t the same company suddenly “gaining value,” but two markets pricing two different things.
The A-share offering valuation mainly anchors on current performance, the industry cycle, and institutional order-book inquiries. Even if the 308.92x trailing P/E is already higher than the industry average, it is still pricing “present-day Zhaoxin Technology.”
Hyperliquid’s PRE-CXMT is a perpetual contract traded with $USDT. It is not a stock and does not come with shareholder rights. The implied market value corresponding to $8.64 is more about betting on share growth over the next 3 to 5 years, capacity expansion, and AI storage demand—and discounting those optimistic expectations in advance.

Do you also think that when AI combines with cryptography, the biggest attraction is whether AI can break encryption algorithms? The direction that’s actually closer to real-world application is the opposite: it’s not AI breaking encryption, but cryptography protecting AI.
So-called “encrypted-state AI inference,” put simply, means that your input data, model parameters, and the computation process do not appear in memory in plaintext. For users, this means AI can process sensitive information without needing to see the original contents first. Secure multi-party computation and fully homomorphic encryption are the key technologies that make this happen.

Do you feel the same way: the more you stare at the screen and trade more, the more everything gets chaotic?
What’s truly worth breaking down isn’t the single figure of “30% annualized return,” but rather a low-frequency rotation framework: only participate when the target asset is relatively strong, and otherwise prefer to stay in cash.
The historical backtest of the original underlying asset was for an ETF, not a crypto asset. The data range runs from January 1, 2020 to the day before publication. The strategy’s annualized return is 30.47%, win rate is 59.09%, maximum drawdown is 31.42%, and it trades about 10 times per year on average. Historical backtests do not represent future performance, and these results cannot be directly applied to the crypto market.

Are you also thinking: by the second half of 2026, put all the funds into $BTC at once, so you don’t have to keep wrestling with it?
The real danger isn’t buying early or buying late—it’s treating a certain date as a “safe entry point.”
Decide whether to increase your position: I will focus on MicroStrategy’s financing structure, not just the coin price. The core of the controversy is this: when the company continues raising funds through preferred shares like STRC, preferred shareholders have a higher claim priority to the company’s remaining assets. As a result, some Bitcoin may shift from being merely a long-term asset into an important asset supporting the financing cycle.

Have you also noticed: $BTC when prices rise, everyone talks about belief; once there’s a deep pullback, the discussion volume drops immediately.
When it comes to whether Bitcoin will “succeed,” don’t listen to slogans, and don’t rush into arguing whether it’s a scam. A more practical approach is to see whether it can consistently pass three layers of checks.
First layer: check the real demand.
When you open the market, don’t just stare at the price—look at why money is buying. Is it driven by long-term allocation, payment, and settlement needs, or by short-term leverage and sentiment? If the demand is mainly based on the idea that “someone will take over later at a higher price,” then even if the rally is fast, it cannot eliminate volatility risk.

A pre-market contract was quoted at $7.2, and after the listing price was converted, it came out close to $7.2 as well. What’s truly worth paying attention to isn’t how precisely someone “guessed” on-chain, but that it lets money that otherwise couldn’t access the market express their view in advance.
CXMT on Hyperliquid isn’t a ChangXin Technology stock and can’t be converted into an A-share. It’s a pre-IPO perpetual contract deployed by Trade.xyz; in essence, it’s a long-term game among traders around the question of how many dollars one share will be worth after going public.
This price wasn’t created out of thin air. The platform first sets a $5 reference price, then adjusts it step by step using a 20% Discovery Bound, re-anchoring the price along $5, $6, $7.2, and $8.64. The order book, funding rates, oracles, and risk-control boundaries all work together to determine the final price.