furan
furan
合约玩家，推特也叫这个名😆
871Following
1.1Kfollowers
Feed
Feed
If AI dares to place orders for me, does it dare to stop me from adding positions?
This time at OKX Now, I am most focused on AI and trading. But I want to raise a somewhat difficult question: If a user is losing and insists on increasing leverage or canceling stop-losses, will AI comply, or will it remind them that they are violating their own rules?
Anyone who trades knows that the most costly mistakes often happen after reading the analysis. Planning to keep a light position, then adding when it drops; agreeing to stop-loss, but hesitating at the moment. Tools are getting smarter, but hands aren’t necessarily steadier. If automation only executes these impulses faster, I think that’s not enough.
I hope to see a trading assistant that can restrain itself: preset position limits, daily loss caps, and cooling-off periods after consecutive losses. Pause automatic opening of positions when rules are triggered; modifying limits requires reconfirmation and leaves a record. Each trade can also be reviewed to clearly see whether the strategy was flawed or if the user changed their mind temporarily.
These mechanisms can’t guarantee profits, but at least "strict execution" won’t just be an empty slogan anymore.
On October 6th at 10:00, go to the planet @OKX中文 to see the OKX Now live broadcast reservation link: . I want to see a more special demonstration: when a user says "Add one more," how the product helps them keep their previous commitment.
#OKXNOW #OKX达人
When running project events, the most attractive data is often the number of participating wallets. But after the event ends, how many people are willing to stay to trade, provide liquidity, or continue using the product? That’s the data I’m more interested in.
This is also why I pay attention to @zerufinance. Its zScore tries to identify users based on on-chain behaviors like trading, lending, and liquidity provision, rather than just checking if a wallet completed a certain task. If project teams can more clearly distinguish long-term participants from wallets that only chase short-term rewards, airdrops and incentives have a chance to be spent on those who truly stick around.
I think this direction is valuable, but the key still depends on actual results: whether the scoring can identify genuine contributions while avoiding blocking legitimate new users. The chain isn’t short of wallets that complete tasks; what’s lacking is a system that lets good users be recognized and makes project teams confident to entrust resources to them.
一个 DeFi 产品真正开始成熟，有时候不是看自己喊得多响，而是看别的协议愿不愿意把钱交给你。
最近 @protocol_fx 有两个数据放在一起看，我觉得挺有意思。
一边是 fxUSD 流通量已经来到 8700 万美元，正式进入 DefiLlama 稳定币 Top 35。
另一边，@yield 的 yoUSD Edge Vault 已经开始把资金配置到 f(x) Ecosystem Vault。9 月 23 日公布的数据里，这个 Vault 当时已经有约 1634 万美元存款，底层配置包括 fxSAVE、PT-fxSAVE 和 cbBTC。
我觉得后面这个动作，甚至比 8700 万供应量更值得看。
因为用户自己去存 fxSAVE，是“散户认可收益”。
但当另一个收益聚合协议开始主动把资金配置到 f(x)，性质就变了——它相当于经过自己的风险筛选后，愿意把 f(x) 当成底层收益来源之一。
这其实是 DeFi 里很关键的一步：
从产品被用户使用，变成协议被其他协议使用。
一旦这种需求越来越多，f(x) 的增长就不再只靠自己拉 TVL。
YO、Morpho、Pendle 这些外部协议，都可能变成新的资金入口。
所以现在我看 @protocol_fx，关注点已经慢慢从“fxUSD 能不能继续增长”，转向另一个问题：
f(x) 能不能成为其他 DeFi Vault 默认会考虑配置的一层底层资产。
如果这个趋势继续扩大，它真正建立起来的就不只是一个稳定币生态，而是一套能够被其他协议直接调用的收益基础设施。
The next batch of workers for AI might not be people, but the phones in your pocket
Current AI can write articles and create images, but it still struggles to know in real-time: which road is under construction, which intersection is congested, and what changes have just occurred in the real world.
@vangrid_io is working on DePIN + AI. It aims to turn phones, cars, drones, and robots into distributed sensing nodes, allowing ordinary users to collect road and urban environment data during their daily travels, then provide this real-world information to robots, autonomous driving, and spatial intelligence applications.
What’s interesting about this model is that users don’t need to buy expensive specialized mining machines. In the future, walking, driving, or even delivering food could help the network supplement real-world data while earning corresponding incentives. Phones will no longer be just data-consuming terminals but can also become nodes producing data.
Of course, Vangrid is still in its early stages, and its API and commercialization capabilities need further validation. But it has captured a real need: AI wants to enter the physical world, and relying solely on old data from the internet is far from enough; it also needs a continuously updated, crowd-sourced real-world map.
So I’m paying attention to Vangrid not because it’s just another “mapping project,” but because it’s trying to organize the devices scattered in everyone’s hands into the eyes through which AI can see the real world.
#本周迎非农与PCE关键数据 This week's PCE and nonfarm payrolls, I am more interested in whether the data will "conflict"
The Federal Reserve raised interest rates by 25 basis points in September, bringing the federal funds target rate range to 3.75%—4%. So the key this week is not to guess whether it will pivot, but to see if subsequent data will support maintaining high interest rates.
First, look at the August PCE released on September 30. The previous July data showed overall PCE up 3.7% year-over-year, core PCE up 3.3% year-over-year, with inflation still far from the 2% target. Then comes the September nonfarm payroll report on October 2. Neither data has been released yet, so it's too early to write off "cooling inflation" or "weakening employment" as settled.
What I find most worrisome is the data being mixed: if inflation remains high but employment starts to weaken, the Fed will have a harder time deciding, and the market may oscillate between the two expectations. For BTC, I will first watch how U.S. Treasury yields and the dollar move after the data release, then see if the coin price can hold steady, rather than chasing the price moves at the moment the data comes out.
There will be volatility opportunities this week, but positions and leverage must leave room for sudden market moves. @OKX星球
What MINT really wants to keep might not be the wallet address!
Most crypto platforms only recognize your wallet, but MINT seems to want to remember the person behind the wallet.
Recently, while browsing @PlayOnMint's events, I noticed something that appears frequently but is rarely discussed: Mint ID. When the official events are held, participants are asked to leave their Mint ID instead of just submitting an address. This detail suggests that Mint ID is likely more than just a nickname; it’s more like a user’s identity gateway into the entire MINT ecosystem.
A wallet can only prove what you currently own, but Mint ID has the potential to record what you’ve played, how much XP you’ve accumulated, your Status, and which ecosystem activities you’ve participated in. This way, user behavior on the platform is no longer one-off; every step left behind can influence future experiences.
This is why I think MINT is worth watching. It’s not just about short-term traffic around a single game, but about trying to build a user identity system that can persist across games and activities.
If this system ultimately works, MINT will have accumulated not just registrations but a group of real users with historical records and growth trajectories. This kind of relationship is more valuable than the hype generated by a single event.
钱包地址，不该是公开的财务档案
做加密久了，我发地址前还是会多看几遍：有没有复制错、有没有被地址投毒。更麻烦的是，地址一旦长期公开，别人顺着链上记录，就可能看到你的余额、交易习惯和往来对象。
最近看了 @Americanfort_io 它切入的正是这个问题。项目想用 FortressName 把一长串地址变成容易记的 @名称；在支持的交易流程里，通过新生成的收款地址，减少公开名称与链上记录之间的关联。它还在开发 SafeSend，让用户在需要时自行提供相关交易证明，而不是把整个钱包历史摊开给所有人看。
我觉得这个方向有现实需求。对经常收款的创作者、商家来说，收款方式既要方便公开，也不该等于公开全部财务活动。
不过，产品进度要看清楚：目前官网提供的是 macOS 测试版；测试版领取的 @名称只在测试网络使用，不能用于真实交易。跨链支持和隐私功能也要按具体版本确认。概念值得关注，最终还得看正式产品能否把体验做稳。
The key to this BTC market move is not the daily ups and downs, but whether funds continue to flow in
After the Fed's rate hike in September, I originally thought the high interest rates would put more pressure on BTC. But as of September 25, the spot BTC ETF on U.S. stock trading days has seen net inflows for 7 consecutive trading days; from September 18 to 25, a total net inflow of about $2.819 billion. On September 21 alone, nearly $1 billion flowed in, and by the 25th, there was still about $135 million, although the inflow pace has clearly slowed down.
This data makes me feel that the market is not completely afraid of rate hikes, but there are indeed funds willing to continue allocating to BTC at this level. Meanwhile, BTC once touched about $87,400 on September 22, then retreated, indicating that ETF buying can provide support but is not enough to guarantee a continuous price rise.
I will focus on two things next: whether the ETF can continue net inflows on the next U.S. stock trading day, and whether BTC can hold key levels during pullbacks. Continuous fund inflows make pullbacks look more like rotation; if inflows continue to shrink or even turn negative, don’t just comfort yourself with “institutions are buying.” #BTC
#BTC现货ETF连续7日净流入近30亿美元 @OKX星球
Dual 49-inch screens paired with a top-spec Mac Studio—this desktop setup definitely gives off a bit of a "trading throne" vibe. 😂
I usually have to switch back and forth between market data, positions, and news when watching the market. Seeing this setup, what I most want to try is how smoothly it handles monitoring and reviewing trades simultaneously.
@WeexCn said the first user to experience it will be nominated from the comments. If it were up to me, I'd pick someone who’s usually willing to openly share their trading ideas to try it out and see what kind of tricks this over $10,000 setup can pull off in a real trading environment. Who would you nominate?
WEEX中文
Over $10,000, what kind of crypto "dream setup" can you build? 🔥
Dual 49-inch Samsung Odyssey G9s, top-spec Mac Studio, zero cable clutter on the desk.
The twist: this setup isn’t for me, it’s prepared for you. 👑
The trading throne is ready, who should be the first to experience it?
Tag them in the comments below 👇
First time at WEEX? We’ve quietly prepared a welcome gift for you 👇
Trade contracts, come to WEEX!
#WEEX #Trading #Contracts #WEEXTradingHouse
A freshly drawn map may start to "lie" half an hour later.
Sudden road construction, loading docks blocked by trucks, temporary closures of mall passages—these changes won't wait for the next update of traditional maps. But for delivery robots, autonomous vehicles, and logistics systems, expired data and incorrect data make little difference.
This is another noteworthy aspect I discovered after revisiting @vangrid_io: Vangrid aims to provide not just a set of 3D maps, but a reality state with temporal attributes that can be continuously refreshed.
According to the official documentation, enterprises can specify a geographic area and set data freshness and minimum confidence levels. For example, they can query only vehicles, obstacles, or road changes within the last 30 seconds, or subscribe to a data stream for a certain area to receive updates immediately when new real-world observations appear.
This data is also tagged with collection time, the number of nodes involved in verification, and a ground_truth_score. If multiple independent nodes provide consistent observations at the same location within a short time, the confidence level is higher; data from a single node is marked with lower confidence.
This logic is crucial. The future competition in Physical AI may not just be about "who owns more maps," but "who can know faster what just happened in reality."
Of course, Vangrid's enterprise API is still in early access, and the interfaces and examples in the documentation are clearly illustrative. What really matters later is whether it can convert the already accumulated millions of data collections into a stable, low-latency data stream that enterprises are willing to pay for continuously.
Static maps record yesterday; real-time spatial data has the chance to serve tomorrow.
