AlphaCat

Do you also feel like more and more people around you are talking about $BTC , yet hardly anyone actually holds their own private keys?
By the standards of self-custody, the amount of crypto shown in an exchange account isn’t the same as the amount you truly control. The test is simple: Do you have your own wallet? Can you independently back up your seed phrase or private keys? Can you make on-chain transfers without the platform’s approval? Even if you hold only a small amount, it’s truly self-custody only when you control the private keys yourself.
There’s a classic example in my family. More than a decade ago, my sister-in-law followed the trend and spent over 20,000 yuan on a set of used mining rigs. According to family members, they came with 2 bitcoins. She hired people to mine, providing room, board, and wages, but the neighbors downstairs complained about the noise almost every day, so in the end she had to sell the rigs. When she bought them, one bitcoin was worth about 4,200 yuan; when she sold them, it was about 4,700 yuan. My dad later remarked, “The profit didn’t even cover the electricity bill.”

Are you like this too: after selling $BTC , you’re relieved when the price drops, but frustrated when it rises? Even though you’ve already exited, do you find yourself checking the market more often than when you were holding?
That was me. I bought a few bitcoins in 2019, made about 100%, and got out. Later, when I saw people holding on for years, even decades, I couldn't help wondering: Why can they hold on, but I can't?
The problem often isn't your judgment, but not having an exit strategy in place before you sell. When ordinary investors are sitting on a profit, they're most afraid of watching it vanish. After selling, a rising price can tempt them back in, potentially exposing them to volatility all over again.

If you find the AI crypto narrative too abstract and can only focus on token prices, I feel the same way. The change worth paying attention to isn’t just another new concept—it’s that AI is moving from being a “chat tool” to becoming a real user of on-chain protocols.
Uniswap has released seven skill documents for AI agents, covering areas such as V4 security fundamentals, configuration, deployment, swap integration, liquidity planning, and swap planning.
Here, “skills” can be understood as instruction manuals for AI. After reading the documentation, AI can learn how to use protocol features and, with the necessary permissions, carry out tasks such as swapping, deploying, and planning liquidity.

Have you run into this too? The same meme, the same name, but one version on each of two chains—and both communities claim theirs is the “official” one?
Don’t rush to see which one is rising faster. When evaluating these split-token projects, first look at who owns the IP—it often matters more than the chart.
The dispute over $ASTEROID is a typical example. The ETH version had been active earlier, and its community had organized charitable efforts. Before Musk made the related remarks, its market cap had already topped $160 million. The SOL version launched through Bags, and its creator Liv Perrotto’s mother, Rebecca Perrotto, received about 2,013 SOL in fee revenue. She said the platform’s proceeds would go toward establishing a memorial foundation.

If you only have a few tens of thousands in spare cash and keep jumping back and forth between U.S. stocks and crypto, don’t rush to ask which one will rise more.
The real question is: which market has a clearer structure right now and better suits your trading skills?
I judge whether a market is worth trading based on just three things: whether key levels are clear, whether trading volume and liquidity are stable, and whether I can calculate my stop-loss in advance. Getting the direction wrong isn’t scary; what’s worst is getting whipsawed by prices, seeing the order book suddenly thin out, and then not even being able to explain why I lost money.
Based on how the market is behaving right now, I think trading $BTC is quite challenging. It may look like it’s constantly moving, but there aren’t many opportunities to get in and out smoothly. When liquidity drops, false breakouts, sharp pullbacks, and slippage all get worse. $ETH has similar issues: you can spend plenty of time watching the market without necessarily getting more certainty.

Are you like this too: when Bitcoin drops, you’re afraid to look, but when it rises, you’re quick to ask, “Can I still buy now?”
If you’re also an everyday investor who doesn’t have time to watch the market and is afraid of making the wrong move, feel free to skip this. Here’s just one practical method: don’t try to guess the exact price point for $BTC , write down your own buying rules first.
“Can I still buy?” isn’t really a complete question. At the same price, the answer will be completely different for someone who can handle volatility and plans to hold long term than for someone eager to make a quick profit. The first thing to figure out is how long you can leave this money invested—and how much of a drop would keep you up at night.

Do you get this feeling too? When ETH surges, you’re afraid of missing out; when BTC reaches a key level, you worry it could suddenly pull back.
What really matters this time isn’t which asset rises more sharply, but whether the rebound can hold.
The market picture is clear: $ETH ETH climbed to around 1,982 intraday, clearly outperforming $BTC over the same period. Bitcoin, meanwhile, rose to around 65,700, tested the 65,500 area several times, then came under pressure and pulled back.
This means ETH’s strength still looks more like a move driven by localized buying for now; it shouldn’t be taken as confirmation that the broader market has broken out. Chasing the rally based on gains alone can make it easy to overlook Bitcoin’s continued struggle around a key resistance zone.

Do you also think that the more you monitor, the faster your arbitrage bot will be?
Quite the opposite: on Solana, where thousands of transactions are generated every second, monitoring everything can quickly overwhelm your bandwidth and CPU and increase latency. By the time you’ve handled the real price difference, the opportunity may already be gone.
A more practical approach is called “inventory-driven monitoring”: instead of watching the entire network, you only monitor high-value liquidity pools selected in advance. For ordinary developers, this means you don’t need to start by piling on expensive nodes; first, narrow the monitoring scope.
There are three steps.
1. Build a comprehensive index
Get pool lists from protocols such as Raydium and Orca, then compile the pool addresses, token mints, decimals, vaults, and other information in a consistent format. For example, if the same trading pair on $SOL appears on two protocols, it’s worth considering for the next round of filtering.

If you, too, see $BTC gains in a row and worry about missing out, you can use this framework as a reference. I don't try to call tops or bottoms either. Experienced traders can skip ahead; below is a version ordinary people can actually follow: first distinguish whether the rise is driven by new buying or short covering.
This rally looks more like a short squeeze than a confirmed reversal. Short covering, unwinding hedges, and US spot ETF flows turning positive have clearly eased selling pressure. But as the rally approached $66,000, spot trading volume was still shrinking, suggesting there still aren't enough buyers willing to chase prices.
When watching the market, focus on just three signals.

If you’re also an ordinary person with no experience and no time to watch the markets, you can use this approach as a guide. I’m no trading expert either—experts can skip this. I’m just going to talk about how beginners can avoid costly mistakes.
When entering the crypto market, your first goal isn’t to make quick money—it’s to survive. When you see other people showing off their gains and rush in, it’s often not because an opportunity has come along, but because your emotions have taken over.
Set yourself a “spare-money firewall”: only use money you could lose entirely without affecting rent, food, debt payments, or household expenses. Don’t borrow money, don’t touch your emergency fund, and don’t assume you have a knack for trading just because you made money the first time—then immediately put in more.

There were 435 funding rounds, 78% fewer than the peak of 1,978 for all of 2022. But the $13.3 billion raised is already close to the total for all of 2024. If all you see is “a plunge in the number of rounds,” it’s easy to wrongly conclude that the crypto industry has run out of money.
First, let’s be clear about what the figures measure: 78% refers to 435 rounds in the first half of 2026 compared with 1,978 for all of 2022—not a year-over-year decline. What really matters is that the money hasn’t disappeared; it’s become much more concentrated in more mature projects.
The seed-stage share fell from 35.3% to 18.7%, while Series A and later rounds attracted 75.2% of the funding. Traditional financial institutions participated in 54.5% of investment deals. This means investors are no longer willing to readily fund a white paper, tokenomics, and a TGE timeline. They care more about real users, revenue sources, and sustainable demand for transactions.

If you can’t even explain what the “crypto market” is, there’s no need to feel embarrassed. Experienced traders can skip ahead; the following is just a simple 3-step guide for everyday people to figure out whether this market has anything to do with them.
Step 1: Look first. Don’t rush to buy.
Open $BTC , $ETH , and $BNB to look at their price trends, trading volume changes, and project announcements. The point isn’t to guess whether prices will rise or fall, but to get a feel for how things work: the volatility of digital assets is unlike anything you’re used to with bank deposits or funds.
That’s the value of following the market. When someone says “there’s an opportunity” or “the risk is huge,” you can check the actual market data for yourself instead of rushing in based on a single comment.

Many people think that if Ethereum simply makes L1 faster, L2 will lose its value. The Lean Ethereum roadmap gives the exact opposite answer: L1 and L2 aren’t an either-or choice—they’re taking on different roles.
On July 5, Vitalik Buterin released a streamlined Ethereum roadmap, mapping out the direction for the next three to four years. The most noteworthy part isn’t the vision of a “$1 trillion market cap,” but the performance targets: raise L1 throughput to 10,000 TPS and L2 throughput to 10 million TPS, while cutting finality from around 12 minutes today to 10 seconds.
What does this mean for everyday users?
L1 is primarily responsible for security, settlement, and asset verification. If finality speeds up, waiting times and associated risks for cross-chain bridges could decrease. If gas pricing continues to improve, the cost of using Ethereum’s mainnet directly could also fall.

If this has you confused too: Ethereum is still being used heavily, so why can’t ETH seem to break into a sustained rally? Experts can move on; for everyone else, here’s one useful tool to remember: the hands-off test.
The hands-off test is simply this: if the Ethereum Foundation and Vitalik stopped pushing for upgrades tomorrow, could $ETH continue to run reliably over the long term, without a small group of people being able to change the rules easily?
This question gets closer to the heart of Ethereum’s valuation than transaction volume alone. The original argument is that the market isn’t worried that nobody is using it, but that the machine isn’t fully built yet. Scaling, L2 decentralization, quantum resistance, and consensus-layer upgrades are still in progress, which means the system still needs ongoing maintenance from developers, the Foundation, and security committees.

Do you also send contracts, account information, or even company documents straight to AI? It’s certainly convenient, but once data is uploaded to the cloud, the model may see more than just a block of text—it could gradually piece together behavioral patterns and trade secrets.
That’s why, when I look at the crypto privacy sector, this is the key theme I focus on: what’s most likely to go mainstream may not be “complete anonymity,” but whether “privacy and compliance can coexist.”
Why is this issue worth watching in the market?
AI needs to handle privacy, and public blockchains do too. Public blockchains such as $ETH are transparent by default, so transaction records and account balances can be looked up. Once an address is linked to a real-world identity, how much stablecoin a company holds and whom it trades with could be exposed.

If you also don’t have time to watch the markets all day and worry that handing your trades over to AI could get out of control, you can follow this approach. I don’t believe in “fully automated, effortless profits” either. AI is best used to help you keep an eye on things—not to make moves for you.
The crypto industry has sent a very clear signal: AI can dramatically improve efficiency when it comes to execution, but human oversight is essential when it comes to judgment.
CertiK uses AI to conduct preliminary analyses of attack incidents, reducing response times from a day or several hours to 15–30 minutes. But overall work efficiency has improved by only about 20%–30%. The reason is simple: AI can organize information, understand code, and write reports, but researchers still have to determine where vulnerabilities may exist.

Do you also think that the more addresses and the more frequent the transactions, the more valuable a blockchain is?
I used to think so too. But data from November 2022 painted a different picture: $BNB Chain had about 221 million unique addresses, more than $ETH ’s 212 million; it also processed about 3.5 million transactions a day, 3.5 times Ethereum’s roughly 1 million. If you only look at the activity, BNB seems to have won decisively.
The problem is, the number of transactions isn’t the same as the quality of capital.
CoinBrain analyzed 2,548 tokens that met its market cap, trading, and liquidity criteria at the time. The results showed that BNB Chain attracted more traders, but Ethereum tokens had higher average daily trading volumes. Top tokens had average liquidity of about $5.61 million, compared with about $1.14 million on BNB Chain.

Do you also find yourself obsessing over $ETH 's price—worrying that it has no value when it falls, then fearing you've bought at the top when it rises?
If you're trying to decide whether Ethereum is still worth paying attention to, you don't need to start by guessing where its price is headed. Three sets of signals are more useful than market sentiment.
1. See whether people are actually using the network
Joseph Chalom, co-CEO of Sharplink and a former BlackRock executive, noted that Ethereum has more than 900,000 validators and over 1 million developers.
Data from Electric Capital cited in the source shows that 1,012,824 developers have contributed code to Ethereum, with about 232,000 remaining active over the past 12 months. These figures don't directly mean the price will rise, but they can help you judge whether people are continually building on the network or whether it's running on trading hype alone.

If you see $7.2 and instinctively multiply it by the total number of shares to arrive at a “3.5 trillion yuan valuation,” you may have got it wrong from the start.
ChangXin Memory Technologies, the company featured in the report, has not yet officially listed, but related pre-market contract prices have already appeared on Hyperliquid. This price is more like a bet by traders on the stock’s short-term performance after listing—not a rigorous company valuation report, and certainly not the same as buying shares in ChangXin Memory Technologies.
On-chain pre-market prices: what exactly are you buying?
It combines domestic substitution, the memory market cycle, expectations of post-IPO gains, restrictions on overseas investors, and the speculative premium following the launch of new contracts. For traders who cannot participate directly in the relevant markets, these contracts in the $HYPE ecosystem offer a way to express bullish or bearish views using stablecoins.

If complex technology is hard to make sense of and you just want to understand $SOL why it keeps being compared with $ETH , this framework is all you need.
Experts can skip this. If you're an everyday investor looking into Solana, you only need to focus on one thing: whether it can consistently support high-frequency, low-cost on-chain activity.
To evaluate SOL, take a look at these 3 signals.
1. Have speed and low fees translated into real demand?
According to the report's technical metrics, Solana can process over 50,000 transactions per second, with an average transaction fee of less than $0.01. The numbers themselves aren't the point. What's important is that these low costs suit high-frequency trading, small payments, on-chain gaming, and the frequent launch and trading of meme coins.