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Binance's latest Mid-Autumn Festival activities!

I chose C
Because the Federal Reserve restarting rate hikes has a pretty big impact on global risk assets—both crypto and US stocks will face pressure. You should pay close attention to subsequent inflation data to see whether it keeps rising
#安友周一观察团

Day 4 TradFi Challenge Cleared! I already got 770 points
This summer camp taught me that tokenized stocks, bStocks, can be traded 24/7. They can also automatically distribute dividends and convert them into tokens. With a single account, you can view both crypto and traditional asset holdings at the same time. This gave me a whole new understanding of how TradFi and on-chain worlds can come together

#币安夏令营

Throw it out! Choose C
Even if a friend comes looking for this kind of internal private-placement test that requires signatures, I wouldn’t dare to act directly. First, I’ll check official announcements to confirm whether it’s real—safety first! Be careful with everything
#币安安全星期四

Where are the prizes, huh? 🤣🤣，，
Quick, draw a luggage box 🧳 to comfort my wounded heart!

Binance—A Truly One-Stop Super Financial App

I never really thought “real human data” was that important.

Before, when I saw AI projects talk about data, I basically just glanced at it.

How much data there was, how big the model was, who they collaborated with… after seeing so many, it all started to feel about the same.

But recently, after seeing KGeN, I became interested in a very simple question:

If in the future more and more AI training data is generated by AI, then who will prove that these data originally came from real humans?

That’s actually quite interesting.

There’s more and more information online now, but “more” doesn’t necessarily mean “better.”

An article might be written by AI. A picture might be generated by AI. And a comment might also be produced by robots in bulk.

If these kinds of things continue to be used to train the next generation of AI, you could end up with a very strange loop:

AI-generated data → AI learning → generating even more data → training AI again.

There’s more and more data, but real human experience becomes increasingly scarce.

That’s also why I’ve started paying attention to KGeN recently.

KGeN isn’t just about building another “data platform.” Instead, it aims to connect a verified human network with AI data needs.

The directions the company is currently emphasizing include Verified Human, multimodal data such as Sound / Sight / Motion / Touch, as well as Physical AI and LLM.

I think what’s truly interesting about this direction isn’t the two letters “AI.”

It’s this:

As there’s more and more AI, will real humans themselves become a scarce resource?

I think this is a question worth continuing to watch KGeN for.

#KGEN

I chose this Feitian Moutai—it has a lot of sentimental value!

Select D. Domestic PPI and CPI data are released. Macroeconomic fundamentals will affect risk assets. This week, focus on the knock-on effects brought by this data.

#安友周一观察团

#币安安全星期四
There was one time I made an operational mistake and sent my tokens to the wrong chain. The assets didn’t arrive for a long time, and because the amount was pretty large, I was extremely anxious. All I could think about was getting the assets back. I searched online everywhere for solutions, asked in groups, and that’s when I came across someone who claimed they could help me recover the on-chain assets. They told me that if I paid a small service fee, they could help me get back the lost coins. At the time, I was emotionally overwhelmed and almost transferred the money to them. After I calmed down, I realized that once an on-chain transfer is confirmed, it’s basically impossible to recover. Anyone claiming to help “find back” assets is just a secondary scammer, specifically preying on people who have already suffered losses.

After this happened, I learned a lesson. When problems come up, never panic and blindly seek help. Instead of scrambling to find people to fix things after the fact, it’s better to carefully double-check the chain and address in advance, confirm repeatedly, and only then click “send.” Don’t give scammers a second chance to collect from you. Wishing all of you teachers a Happy Teachers’ Day 💛

I chose A. The recent pullback in gold has been a bit unexpected; loosening safe-haven assets may also indirectly affect the flow of funds in the crypto market, so it’s worth monitoring closely 🫡
#安友周一观察团

Choose C
So-called founder private placement quotas are basically typical pig-butchering scams. Even if the social account looks real, it is very likely an account takeover impersonation. Never transfer money directly—always verify through official channels.
#币安安全星期四

#termmax @TermMax
Many people can’t tell the difference between TermMax, Pendle, and Aave—so let me share my real-world usage experience.

Aave and Compound both offer variable-rate lending/borrowing. Their rates change in real time based on fund utilization. The advantage is flexibility—deposit and withdraw anytime. The downside is that during euphoric market phases, interest rates can jump sharply, and the risks of leveraged positions are amplified.
Pendle focuses on interest-rate derivatives. It’s more about trading yield and rate exposures. To receive fixed yield, you need to split the token, which makes the learning curve fairly high for average users.

TermMax uses native fixed-rate lending/borrowing via an AMM. It borrows the concentrated liquidity idea from Uniswap V3: each market has a clearly defined maturity date. Borrowers lock in their borrowing cost when opening a position, while lenders lock in the maturity yield. It also includes one-click leverage, so you don’t have to constantly shuffle across protocols.

After the V2 update, it adds Range Orders and atomic order aggregation. You can set the lending/borrowing interest rate you want and wait for it to be filled. It also supports tokenized Ondo stocks as collateral. With RWA combined with fixed-rate lending, there’s a lot of room for imagination.

Because there’s a concept of a maturity date, it’s not like variable-rate lending where you can roll over indefinitely. You need to manage the position before maturity. Liquidity differs across pools with different terms, so for larger orders, pay attention to slippage.

If your strategy requires you to calculate costs in advance and you don’t want your plan disrupted by sudden rate spikes, TermMax is worth a deeper hands-on experience. If you value flexibility—deposit and withdraw as needed—then traditional variable-rate lending/borrowing may be a better fit. #TermMaxFi

Choose C,
so-called on-chain masters helping to recover assets are basically all scams. Handing over the mnemonic phrase just leads to being hacked again and looted a second time. Block them directly—it’s the safest option
#币安安全星期四

#termmax @TermMax

Experience TermMax: Fixed interest rates will become an important branch of DeFi

Most DeFi lending uses variable interest rates. When the market is hot, borrowing interest surges; when it cools off, deposit yields effectively drop to zero, making it difficult for ordinary users to plan long- and mid-term capital.

TermMax’s solution is straightforward: fixed interest rate + fixed maturity term.

1. Lend: lock in the interest rate from the moment you open the position; receive the guaranteed return at maturity, without being affected by market interest rate fluctuations.
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2. Borrow: use collateral to borrow money; the interest is set in advance, so you don’t have to worry about overnight rate spikes that disrupt your trading plan.
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3. One protocol for multiple functions: the protocol supports both lending/borrowing and options trading at the same time—no need to juggle across multiple platforms.
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4. Token $TMX: ecosystem governance and community participation in governance decisions.

Who is it suitable for?
✅ Users who make mid-term capital plans and want predictable yield vs. cost
✅ Traders who need lending to execute strategies and want to lock in interest costs in advance
✅ Users who want to do simple fixed-income on-chain and don’t want to be repeatedly pulled around by floating APY

⚠️ Note: Funds are fixed to a specific maturity date. If you redeem early, you will incur losses, so it’s not suitable for liquidity that you might need anytime. Smart contract risks exist objectively—be sure to conduct a risk assessment and don’t put all your assets into a single protocol.

#termmax @TermMax

For friends who have been in DeFi lending/borrowing long enough to get scared by floating interest rates, you’ll probably be able to understand the pain points that TermMax solves.

Before, using lending pools like Aave or Morpho meant that interest rates jumped wildly with market hype. When liquidity gets crowded, borrowing rates can spike immediately. As a result, strategies that were originally calculated well are often thrown off by sudden interest-rate increases. How much you earn—or pay—often depends on the mood of the market.

The most important difference with TermMax is that it uses a fixed interest rate plus a fixed term. At the moment you lend or borrow, the returns, borrowing costs, and the time to maturity are all locked in. You don’t have to keep watching interest rate fluctuations every day. If you lend assets, the yield you receive at maturity is certain. If you use collateral to borrow, from the start you know exactly how much interest you’ll pay—you won’t be caught off guard in the middle of the night by a sudden spike in rates.

It’s not just basic lending/borrowing, either. TermMax also integrates option tools, allowing a complete set of actions—lending, borrowing, and option hedging—within a single protocol. The native token $TMX handles governance. The community can participate in voting on protocol parameters to decide the direction of future market development.

Of course, it’s not a magic solution. A fixed term means capital is time-constrained; exiting early can incur losses. It’s more suitable for planned mid-term allocations, and not ideal for short-term “money” that you might need to withdraw at any moment.

DeFi has always chased high APY, but certainty is actually a rather scarce commodity. TermMax gives the market another option: not the absolute highest returns, but predictable returns and costs. For those who don’t want to be tormented by floating interest rates, this is a track worth deep research.

#termmax @TermMax
DeFi doesn’t lack high returns—it lacks determinism: let’s talk about TermMax’s fixed-rate narrative

Across the DeFi market, we’re used to liquidity chasing high APYs. Whichever pool offers higher yields attracts more capital; then returns drop and the money leaves immediately. This pattern boosts activity but makes it hard to build long-term capital. In floating-rate lending systems, beneath the prosperity lies significant uncertainty and risk.

In traditional finance, the credit market offers complete fixed-income products—time deposits, bonds—so everyone can lock in costs and returns for a period of time. But on-chain, mature, practical fixed-rate products have long been a weak point.

TermMax fills this gap.
It is built on a customizable AMM model, tokenizing lending positions to create an on-chain native fixed-rate market. Each lending market is isolated from the others, so asset risks don’t transmit. You won’t see a situation where one asset blows up and the entire pool suffers.

Users can lend assets to receive predictable fixed interest; or they can deposit collateral to borrow at fixed costs for strategies. It also includes built-in options trading to meet the needs for hedging and leverage. You no longer need to hop between three or four protocols to piece together strategies—complex operations are consolidated into a single interface.

The token $TMX serves as an ecosystem governance credential. Community participation in protocol governance guides market iteration, forming a complete closed loop among borrowers/lenders, market makers, and governance participants.

After the V2 update, it also supports position rollover/renewal. When the term ends, there’s no need to rush to close positions—you can roll directly into the next maturity market, greatly reducing operational pressure.

As tokenized RWA stocks continue moving on-chain, fixed-rate lending will become a very important foundational infrastructure. TermMax’s model is not just a lending dApp—it’s building the fixed-income foundation layer for DeFi.

#termmax
Recently I had a deep hands-on experience with TermMax @TermMax and wanted to share my real thoughts.

I’ve previously stepped into the trap of floating-rate lending. The strategy seemed fine at first, but once the market heated up, the lending interest rates shot up dramatically, wiping out the thin profits and leaving nothing behind. So when I saw fixed-rate lending agreements, I became especially interested.

What really impressed me about TermMax is that everything is laid out transparently. When I lend out USDC, I choose the term period and know in advance exactly how much yield I’ll get and when funds will unlock. If you borrow against collateral, the interest you have to pay is also clearly stated—no guessing. That gives you peace of mind instead of having to constantly refresh the page to check rates.

Plus, it’s not just lending and borrowing—it integrates options. You can hedge in the same place, avoiding extra gas costs and the hassle of operating across different protocols. $TMX is used for governance, and the community can participate in protocol adjustments, which is quite Web3 as well.

Of course, it’s also important to be objective about the drawbacks: because it’s fixed-term, your funds are locked until maturity. If you need the money urgently and exit early, you will incur losses—this is definitely something to pay attention to. It’s better suited for idle funds that you’ve already planned to hold for a certain period, not for short-term turnover.

With more and more on-chain RWA assets emerging and tokenized stocks gradually becoming common, demand for fixed-rate lending will only keep growing. In this TermMax space, it’s definitely worth ongoing observation.

Recommend this big shot in the square — Alchemist: The Path of Speculation. I used to, without thinking, only look at who made more money. Later I realized it’s not enough. For a trader with this kind of distinctive style, I’ll look a bit more closely: returns are one thing, but on the other hand, when volatility hits, whether they can control risk. Using “smart money” to look at these things really makes it much more convenient
#币安聪明钱跟单