AlphaCat

bStocks collateral valuations will no longer depend solely on trading hours in traditional regional markets. According to a Binance announcement, starting at 08:00 Beijing time on October 24, its collateral index price mechanism is set to support dynamic updates around the clock. The change applies to the index price used for collateral valuation; it does not mean that traditional markets will also begin trading around the clock.
During non-trading hours, such as weekends, holidays, and daily maintenance windows, the index price will be based on Binance trading prices and calculated using an order-book EWMA model. To limit unusual volatility during these periods, the mechanism also sets a price-movement cap specifically for collateral valuation. When switching out of this mode, it will transition gradually through a weighted blend of the old and new calculation methods, reducing the risk of a sudden price jump caused by the switch.

Binance has brought “describe an idea in natural language, generate a strategy, run a simulated test, then approve it for live trading” into a single product workflow. According to Binance’s October 19 announcement, Binance AI Pro began rolling out on the web and in the app that day. This is the product rollout plan announced by the platform and does not mean that it is already available to users in every region.
The announcement says users can describe a strategy idea in a conversation, review the generated workflow, and continue to revise it. On the web, users can view the conversation and workflow side by side; in the app, they can build and adjust strategies through chat. Before committing real funds, the product offers simulated testing with hypothetical funds. But being able to test a strategy does not mean it has been proven effective, and the announcement provided no independently verifiable performance data for strategies.

If you’re an ordinary person with just 300U and not much experience, you can use this approach as a guide. Experienced traders can move on; the rest of this is about how to lose less money learning with a small account.
First, accept this reality: if you buy spot with 300U, even if your assets double, you’ll only make 300U. But with high leverage, even a small move in the wrong direction can quickly wipe out your entire stake.
So, the best way to think of 300U isn't as “capital to turn your life around,” but as a ticket into the market. There’s only one goal: learn about the market at a limited cost while staying in the game for as long as possible.

Have you ever been confused by claims of “one million TPS”? When evaluating a high-performance public blockchain, don’t start with its theoretical lab maximum—look at whether people are actually using it on the live network.
$SOL ’s theoretical speed isn’t what makes it most noteworthy. The data shows that its actual TPS has remained in the thousands for an extended period, while many public blockchains claiming hundreds of thousands or even millions of TPS may only achieve a few hundred in real-world operation. For everyday users, this makes for a simple rule of thumb: no matter how impressive the specs look, if real transactions can’t be processed, speed is just a marketing number.
I use just three metrics to evaluate high-performance public blockchains.

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.