#aipro Community Insights & Market Sentiment

🐝 Airdrop Bee Bulletin｜🚨 Major bullish news for AgenticWallet!

🔥 Big news from Binance AI Pro!
Open Binance AI Pro and claim a bot right away! 🤖 It used to sell for 9.9U!

🎁 You may have a chance to claim lots of free NFTs and airdrop rewards later!

📢 If you haven’t been able to register for MUSE or Grok Bot, this is your chance!

If you’ve been eyeing Binance AI airdrops, go check it out now! A new opportunity could be right around the corner—don’t wait until everyone else has claimed theirs to take action! 🚀

🐝 Airdrop Bee keeps you updated, catching on-chain opportunities as soon as they appear!

⚡ Open BIAI Pro now and see what you can claim
#AIPro #AgenticWallet

I don’t have a day job.

I give AI tasks, it gets them done, and I collect the money.

I’ve been running this setup for three months, and today I’m making it public.

Three days ago, I had AI go to an on-chain AI marketplace and list 11 services.

Prices ranged from $19 to $599. It generated the cover images, descriptions, pricing, and listings—all by itself. I just hit Publish once.

Today, the results came in: zero sales.

I didn’t give up. I checked the on-chain data—

A month ago, this marketplace had 3,300 orders a day. Now it has 280. That’s a 91% drop.

Of 144 trading addresses, 141 were the same group of people repeatedly trading among themselves.

It wasn’t that my services were bad. Nobody knew they existed.

So I changed my approach.

If the platform won’t send me traffic, I’ll create my own. AI handles production; I make sure people see it.

That’s what I do every day: AI delivers the work, I distribute it.

Follow me to see what I automate next.

Next post: I’ll share all 11 services, including the pricing, templates, and mistakes I made.

#aipro #ai交易 #On-chainData

🤖 Just announced: Binance launched an “AI Trader” today

In plain English: tell it your trading ideas, and it’ll turn them into a complete strategy. Test it on a demo account first, and go live with real money only when you’re happy with it. Starting today (10-19), it’s rolling out globally on the web and in the app—no separate sign-up required.

💰 The free version is already a great deal: 250,000 credits per month, the DeepSeek model, and full access to chat, strategy generation, and demo trading
🚀 The paid plan is 19.99 USDC/month: up to 10 million credits, with access to cutting-edge models like ChatGPT Sol, Astra, and Claude Opus
🛡️ The security design is pretty thoughtful: each live strategy gets its own sub-account, and only you can manually transfer funds into it—AI can’t access your money. You have to approve everything yourself before it goes live, and you can pause or withdraw it at any time.

This is the final piece of the Binance Intelligence ecosystem: Agent OS + Binance AI + AI Pro. The whole suite is now in place.

A question for you: would you let AI manage your money, or does “handing your money over to code” make you nervous?
$BTC $ETH $SOL #AIPro #Binance
For informational purposes only. This is not investment advice.

Binance AI Pro is still immature, so I don’t recommend using it. I used AI Pro to design a paper-trading strategy for testing, and today I ran into a temporary ban that suspended my strategy for several hours. I asked AI to verify the reason three times, and it accurately told me that users share servers. If one user’s strategy makes frequent trades, it can cause the platform to temporarily ban the server’s IP, which then affects other strategies running on that server and gets them temporarily banned too, bringing them to a halt. This kind of collateral ban that takes out everyone is clearly a major bug!!! Who would dare to launch a live-trading strategy under these circumstances? Users shouldn’t have to pay out of their own pockets for someone else’s mistake! I’ve been in touch with customer support for a long time, but still haven’t received any meaningful response—only been told that it has been escalated. #AIPro

📰 Describe a trading idea in one sentence, and AI can break it down into a strategy and even run it in a paper trading account first. Binance has unveiled Binance Intelligence, dividing the product into Binance AI, AI Pro, and Agent OS for everyday users, advanced traders, and developers, respectively.
🔥 The most useful thing about AI Pro isn’t chatting about the markets—it’s that it can read account and product data, then turn natural language into automated strategies. In a test, a user asked it to allocate 50 BTC to Earn. It noticed the account balance was insufficient and proactively ruled out Dual Investment, which could change the amount of BTC held, prioritizing flexible and fixed-term products instead.

💡 A more advanced test was to use multi-timeframe MA20, . Surprisingly, AI Pro mostly broke it down correctly and even asked follow-up questions about position sizing, isolated margin mode, position direction, and how often to check.

Once the strategy is confirmed, you can put it in a paper trading account to continuously check for trigger conditions, adjust it if any parameters need fixing, and ultimately decide whether to switch to live trading. Honestly, that’s more reliable than letting AI place orders directly—at least it leaves room for testing and confirmation.
🤔 But AI executing a strategy accurately doesn’t mean the strategy itself will necessarily make money. If it were you, would you test a simple strategy in a paper trading account first, or hand over your entire set of trading rules?

#币安AI #AIPro #加密交易 #BTC

I just watched He Yi’s presentation at the launch event. She said that in the future, AI Pro will recommend structured strategies based on users’ preferences—whether they’re HODLers or traders, prefer dollar-cost averaging or grid trading—and execute them as soon as they confirm.
As someone who’s been trading manually for over a decade and now also writes strategies, I may see this statement a little differently from most people.
What matters most to me about AI Pro isn’t that it can “help you trade.” It’s that it finally separates the most draining part of trading—execution—from the strategy logic itself.
I’ve been placing trades manually for over a decade, and the biggest lesson I’ve learned is this: getting the direction right isn’t hard. The hard part is acting at the right time, at the right price, with the right position size. You can watch the charts until 3 a.m., but by the time a signal appears, you might be half asleep and your ability to execute drops sharply. You either hesitate and miss the opportunity, or act impulsively and overtrade. This takes a toll that has nothing to do with your judgment, but it can have a very real impact on your profits and losses.

Have you all claimed your AI-exclusive AgentID? Isn't this badass? #AgentID #AIPro #heyi

📰 Crypto Market Hotspot Dispatch

1. Market predictions indicate a noticeable cooling in speculative bets, with the probability of WTI crude oil contracts dipping below $90 by May 2026 recently dropping sharply from its peak, showing a significant decline in a single day. This change reflects the market's adjustments in future energy price paths and suggests that macro asset expectations will continue to sway risk appetite in the crypto space. For traders, cross-market sentiment correlations are worth keeping an eye on. ⛽

2. Binance Wallet, in collaboration with Opinion, has launched the second phase of its exclusive boost program, now open to users meeting the Alpha points threshold, offering OPN reward distribution. The activity mechanics indicate that participation will consume a certain amount of points, and there are lock-up arrangements for the project tokens. For users, such incentive programs present potential profit opportunities while also necessitating prior evaluation of liquidity and unlock rhythm risks. 🎁

3. Binance has been actively promoting the use of Ai Pro in the research of new projects, with a core focus on helping users quickly grasp unfamiliar tokens, including project positioning, team background, token utility, and market evaluation. For average users in an information overload environment, these tools help establish a foundational understanding before deciding whether to dive deeper. However, AI outputs are better suited as a supplementary filter and cannot replace thorough due diligence and independent judgment. 🤖

4. Educational content around the use of Ai Pro is also ramping up, with the official team providing various prompt templates covering token overviews, trading plan formulation, and news impact analysis. The platform aims to enhance output quality through standardized questioning, allowing users to gain more structured reference information. This shift indicates that trading assistance tools are evolving from “able to answer” to “more user-friendly,” and human-machine collaboration in research may become an important trend in the future crypto content ecosystem. 📊

5. Based on community interaction results, users currently show a strong demand for Ai Pro's market analysis capabilities, far exceeding interest in order execution, margin leverage, and strategy implementation modules. This preference suggests that most users are focusing more on market interpretation and timing references at this stage, rather than complex automated operations. For the platform, continued optimization of analysis depth, response efficiency, and usability may further enhance the tool's penetration rate. 📈

#Binance #AiPro #CryptoMarket

On the same day, two people are both using AI.

One opens a chat window: “Help me write a weekly report.” They revise the wording three times, save it as a draft, and close it.

The other opens the same chat window and types: “Read in this CSV, group by address and calculate net inflows, sort the results, output the top 20, and flag addresses that appear more than 3 times.”

Thirty seconds later, the second person has the table.

The difference isn’t intelligence, or who knows more about prompts.

The difference is this: the second person first figured out “what do I want it to do for me?” The first person just wanted AI to “think of something” for them.

AI itself isn’t valuable. What’s valuable is turning AI into a concrete deliverable.

I’ve broken my own work down into 11 tasks. You can use them as a self-checklist and ask yourself, from the top down, which one you’re stuck on:

01 Given a token, can you explain its holder distribution, liquidity depth, and whether it can be sold?
02 Given an address, can you map where its funds came from and where they went?
03 Can you compare your own entry records against your own loss records?
04 Can you turn a question into SQL that runs?
05 Can you build an agent that actually runs, with a hard spending limit?
06 Can you break down your work and identify the three steps that eat up the most time?
07 Can you build your first working agent from scratch, with logs and a kill switch?
08 Can you choose tools based on the work you actually do, and put together a set of instructions you can copy and use right away?
09 Can you teach yourself to look up on-chain data, so you don’t have to rely on anyone else afterward?
10 Can you get the same output through a cheaper routing option and bring the bill down?
11 Network setup, routing rules, DNS, and per-app proxy settings

Not one of these eleven things requires talent.

What it takes is one thing: changing “using AI” from “asking it questions” to “having it deliver results.”

Ask it a question, and you get an answer.
Have it deliver, and you get an output.

The difference isn’t the tool. It’s whether you can bring yourself to say that one sentence.

#aipro #ai交易 #OnchainData

I used Binance’s own AI wallet to let an agent trade meme coins on its own.

This wasn’t a simulated demo. It really opened positions, requested quotes, and recorded losses.

Just three tools:
Binance Agentic Wallet handled the funds and signing.
Binance on-chain signals scanned for alerts.
The agent made its own calls, executed trades, and kept its own books.
While I slept.

After the first day, the ledger looked like this.

571 alert samples. Average: −45%. Median: −64%.
Win rate: 10%. 327 were cut in half.

By chain:
Solana: 352 samples, median −80.5%, 56 went to zero.
BSC: 200 samples, median −25%, 4 went to zero.
Base: 19 samples, median −8.1%.

Some people said the market was down.
I checked SOL’s daily price over the same period: 104.45 to 104.11.
Sideways.
It wasn’t the market. It was negative alpha.

The most painful part wasn’t the losses. It was how they happened.

Four positions were opened when pool depth was $110,000 to $130,000, and the order books looked normal.
A few minutes later, I requested another quote. The API replied: no liquidity available.
Valued at $0.

It wasn’t a rug pull. There was simply nobody willing to buy.

I’ve made the ledger public.
Every position, close, and wipeout is there.
No dressing it up, no cherry-picking samples, no hiding the failures.

There are plenty of people showing off profits.
Not one of them has put 327 wipeouts out of 571 samples on display.

I’m not trying to prove that this can make money.
I’m trying to figure out: which bucket of alerts can actually be bought?

I’m testing in batches of 60 trades per chain, then reviewing the results.
There are 29 active positions running now, with equity at 996,900 and an unrealized loss of 0.31%.
The data refreshes every 5 minutes. Gains and losses are all recorded.

Have you used an agent to trade on-chain? What’s the biggest pitfall you’ve hit?

$SOL $BNB $BTC #aipro #ai交易 #OnchainData

List an AI service—no review, no deposit, no human approval.
I listed 11 in one go and used them for a day.

You’ve probably come across screenshots of “AI doing my work while I earn passive income,” and maybe even figured out how many services you could list yourself. You can list as many as you want. But nobody writes about what happens after you do.

I counted the listings: 2075 services, and 1753 had never made a sale—that’s 84.5%. Of the 322 that had made a sale, the median was just 1 order. There were only 7 verified sellers on the entire platform.

And it gets worse: 49 services with identical titles, listed under 49 different accounts, all on the same day—September 5. Those 49 listings accounted for 61.5% of all sales on the platform.

A low barrier to entry isn’t an opportunity. It means your competition doesn’t have to be a person—it could be a schedule or a script.

I’m not especially clever; I just listed mine two weeks before you did. I’ve written up the whole process: how to write a description people will click, the exact cover image dimensions, whether to make changes after listing, and the pitfalls I ran into myself.

In a place anyone can enter, the valuable thing has never been getting in. It’s being seen.

Which worries you more: not being able to get in, or getting in and nobody seeing you?

$BNB #ai交易 #aipro #On-chain data

I opened a shop on an AI hiring marketplace on Binance Chain, offering 11 services.

Revenue in 24 hours: 0 USDT.

This isn’t self-deprecation, and it’s not because I didn’t put in the effort—the money flows through a Binance Agentic Wallet, and I wrote every service description, made the cover images, and set the pricing tiers myself. It took half a day. So I went back and checked the data.

1. How big is this marketplace?

Registered agents: 382,000.
Agents that have ever listed a service: 789.

The other 99.8% registered and never showed up again.

2. Opening day: 0 orders

There are 2,075 services on the public marketplace. Of those, 1,753 have never made a sale—that’s 84.5%.
Of the 322 that have sold, the median number of sales is one.
There are only 7 verified sellers on the entire platform.

I’m not an outlier. I’m the majority.

3. And yet it processes more than 1,400 orders a day

A total of 325,445 orders have been settled, with a nominal transaction volume of $19.38 million.

I looked at the buyers from the most recent 5,000 orders:
4,810 buyers, of whom 4,633 had made just one purchase—that’s 96.3%.
4,922 sellers, of whom 4,914 had made just one sale.

Almost every order pairs a new buyer with a new seller, and then neither shows up again.

This isn’t a marketplace where nobody buys. It’s a marketplace where every transaction starts from zero.

4. How can this happen?

Sellers don’t have to lock up a stake when accepting an order. The total stake across the entire network is just $61.
The fee is only 2% per order.
The same identity can be a buyer for one order and a seller for the next. The documentation doesn’t prohibit it.

The cost of wash trading an order is just that 2%. And transaction count and ratings determine rankings.

5. What I learned

Don’t count how many orders a marketplace has. Look at two things:
The share of listings with zero sales—if it’s over half, transactions aren’t happening through the listings.
Buyer repeat-purchase rate—if nine out of ten buyers only show up once, that’s not demand. It’s a task.

If a marketplace has a different person behind every order, it isn’t running a business. It’s just moving volume.

I’ll keep sharing updates: how many days it takes to get my first order, and what pitfalls I run into.

Have you ever listed a service? Did your first order ever come in? $BNB #ai交易 #aipro #OnchainData

I’ve been running Binance Agentic Wallet for two weeks. Here’s what the setup guides won’t tell you

Most tutorials lately teach you how to install it. The installation itself isn’t hard; the hard part is making sure it doesn’t bite you afterward. Here’s how I set mine up:

1️⃣ Establish an identity with an Agent ID
First, create an Agent ID in the wallet (I use est.ai), then enable developer mode. Without this step, external AI can’t access the signing interface, and nothing else will work.

2️⃣ Let AI install the skills—don’t copy commands by hand
The official binance-skills-hub has an agentic wallet skill. Just give the AI the npx skills add command, and it’ll check the CLI and initiate the login itself.

3️⃣ Login authorization is the turning point
This wallet only allows one active session. Authorize it on a new device, and the old session immediately gets disconnected with SESSION_EXPIRED. So I keep it running 24/7 on one always-on machine. On other devices, I only check things—I don’t log in.

4️⃣ Keep a close eye on authorization boundaries
What usually gets drained isn’t your keys being handed over, but the approvals you sign after tossing it a URL and letting it trade automatically. My approach: I review the target and amount of every signing request before approving it.

⚠️ A reality check: those screenshots in the tutorials showing someone turning 70u into 20,000u are of the one person who made it out of that batch. Tools can make you more efficient; that doesn’t mean they can increase your returns.

My setup now is a permanently running wallet + an on-chain ID + a daily ledger, and I’m sticking with it whether it performs well or not. $BNB #ai交易 #aipro #On-chain data

Do you think people will get used to letting agents sign transactions themselves within a year, or will they insist on confirming every single one?

“The money supporting a ‘3x gain’ accounts for just 2.8% of the market.”

I didn’t make that up. I got the figure by adding up those 462 on-chain buy orders.

First, some context: for the past couple of days, people in the group have been forwarding this line: “Put in 70 U, take out 20,000 U. Hurry up, don’t go to sleep.” It’s followed by a step-by-step tutorial.

1. The parts it doesn’t lie about
The four-step process is real: create an Agent ID → enable developer mode → have the AI install the official skill → authorize and log in. I’ve been running this setup for two weeks, and it’s still running in the cloud.

2. That 20,000 falls apart when you do the math
There are 100,000 units in total, each costing about 4.6 USDT. At the lowest transaction price of 14.62, the nominal value of all 100,000 units is 1.46 million USDT.
The actual custodial buy-side liquidity on the books: 462 buy orders, totaling 41,543 USDT.
1.46 million versus 41,500—that’s 2.8%.
It’s not going up because people are scrambling to buy. It’s going up because nobody is selling.
Let’s break it down further: each of the 462 orders averages just 90 U, or about 6 units. The highest bid is 14.75, and it’s only for 2 units.
If you want to sell 50 units, you’ll have to work your way down the book, clearing eight buyers first.
A book that can only take 2 units isn’t a market—it’s a billboard.

3. Four things the tutorial doesn’t make clear
① This type of wallet only allows one active session. Authorize it once on your phone, and the cloud session silently drops, returning SESSION_EXPIRED—with no notification or pop-up. You think it’s watching the market, but it’s actually been dead for hours.
② “Give it the URL and it can buy and sell for you” really means authorizing a program to sign on your behalf while you sleep, for a contract you haven’t read a single line of. The approve permission stays active with no spending limit, so it can move your money without asking again—not even at three in the morning.
③ The signup link at the end of the tutorial has the author’s own referral parameters (I redacted them in my screenshot).
④ The person who wrote the tutorial doesn’t need you to make money. They just need you to sign up. Your entry fee goes into their pocket through those referral parameters. Whether you win or lose has nothing to do with them.

4. One rule of thumb you can use right away
It matters more to ask how a tutorial makes money than what it teaches. The answer is always in the link, not the body of the post.

It’s a good tool—I use it every day to check balances and positions. What’s bad is this one-two punch of “tutorial + 20,000”: it makes you think you’re learning a skill, when really you’re paying tuition—and the person who pulled you in is collecting it. $BNB #ai交易 #aipro #On-chain data

When you come across a tutorial, where do you look first?

“Put in 70 U, take out 20,000 U. Get moving—stop sleeping.”

I read that sentence three times. It wasn’t until the third time that I understood: it wasn’t lying. It just left out the second half.

The second half is this: someone has to actually pay real money for those 20,000.

1. Let’s start with what it gets right
The four steps in that tutorial are real: create an Agent ID → enable developer mode → have the AI install the official skill → authorize and log in. I set mine up two weeks ago, and it’s still running in the cloud. The tool itself is fine. I use it every day to check balances and holdings.

2. Four things it leaves out
① This wallet only allows one active session. Authorize it once on your phone, and the 24/7 cloud connection silently drops, returning SESSION_EXPIRED. No push notification, no pop-up. You think it’s still watching the market, but it’s actually been dead for hours.
② “Send it the URL and it can buy and sell for you”—in plain English, that means: you authorize a program to sign on your behalf, while you’re asleep, for a contract you haven’t read a single line of.
③ The classic way wallets get drained is never that you hand over your keys. It’s leaving an unlimited-amount approval in place. Once you sign that one, it can move your money without asking you again. It doesn’t even have to wait until three in the morning.
④ The registration link at the end of the tutorial has the author’s own parameters attached (redacted).

3. Let me show you the numbers behind those 20,000
That market last time: 100,000 units minted, 10,000 supposedly sold, with a cost of about 4.6 USDT per unit.
At the lowest transaction price of 14.62, the nominal market size for 100,000 units is 1.46 million USDT.
But the actual custodial buy orders on the books add up to just 41,543 USDT across 462 orders.
That’s 2.8%.
In other words, the money supporting the claim that it’ll “triple” accounts for just 2.8% of the nominal market size. The price isn’t rising because people are scrambling to buy. It’s rising because nobody’s selling.
Break it down further: across 462 buy orders, the average buyer only wants to spend 90 U, which works out to six units.
The highest bid, at 14.75, is only for two units.
If you want to sell 50 units, you’ll have to work your way down through the bids—and eight people’s orders will be filled before yours.
This isn’t a market order book. It’s a billboard.

4. How does it make money?
The person who wrote the tutorial doesn’t need you to make money. They just need you to register.
The parameters determine where your entry fee goes: into their pocket. Whether you win or lose makes no difference to them.
So whenever someone first teaches you to register, then promises to show you how to make 20,000, the answer is always in the link, not the article.

The tool is a good tool. What’s bad is this one-two punch of “tutorial + 20,000”: it makes you think you’re learning tech, when really you’re paying tuition—and the person who reeled you in is collecting it. $BNB #ai交易 #aipro #On-chainData

Do you look at the content first, or how it makes money?

【Scam Anatomy · 001】

“Don’t go to sleep—the three-digit numbers are all gone.”
“Mint it and sell it right away. Pocket 10 U, no waiting.”

I’ve seen these two lines repeated hundreds of times in group chats over the past couple of days. I was tempted for a moment, too.

Then I did something everyone talks about, but few people actually do: I opened the chain and counted for myself.

I. On paper, the deal is real

A minting event with a total supply of 100,000, supposedly with 10,000 already minted.

The process: install an official Agent wallet, top up gas, connect to a bot, confirm, pay about 4.6 USDT, and receive a number.

The earlier your number, the lower it is; the later, the more expensive. That’s why the pitch is always the same two lines: “Don’t go to sleep” and “The three-digit numbers are all gone.”

Once you get one, they say there’s no need to wait: list it on the secondary market, where the highest bid is 14.75, and pocket 10 U.

Buy in at 4.6, sell at 14.6. Looks like arbitrage, not gambling.

II. After checking the chain, I found three things that didn’t add up

First, the entry point. It’s already closed. The public sale is over. If you want in now, you can only buy someone else’s on the secondary market.

Second, the order book. The highest bid really is 14.75—but it’s only for 2 units. At 14.72, buyers want 9; at 14.62, they want 21. There’s a total of 41,543 USDT in escrow, with 462 buy orders stacked up, making it look like a busy market. But do the math: try selling 50 units, and you alone will wipe out the order book. The price will tumble all the way down, and no one knows where it’ll land.

Third, and most fatal of all: I checked both mainnets for the token they promise you’ll earn through “mining.” On one, I couldn’t find a single liquidity pool; on the other, they couldn’t even create a trading pair. It doesn’t show up on any CEX either.

Put simply: there’s nowhere to sell what you earn.

III. Why are these two lines so effective?

Because it’s not a scam—it’s a screening process. Three layers of filters, each making it harder for you to get out.

First layer: the barrier to entry. “Install a wallet, top up gas, connect to a bot”—that’s not a hassle; it’s a filter. Anyone who makes it through these steps has money, can follow through, and knows how to operate. Beginners get kept out; those able to pay stay in.

Second layer: scarcity. “Total supply: 100,000; 10,000 already minted.” “The three-digit numbers are all gone.” The numbers are real, but do you ever ask: who decided the denominator? The project team wrote 100,000 into the contract themselves; the market didn’t set it. Truly scarce things don’t need to be hyped.

Third layer: making the risk disappear. “Mint it and sell it right away. Pocket 10 U.” The most insidious part of this line is how it dresses up a speculative bet as a business deal. Once people think they’re doing business, they leave themselves no way out, because they don’t think they’re placing a bet.

After three layers, you’re not a player—you’re the product. Their profit isn’t the price difference; it’s your entry fee.

IV. What to look for next time

Whenever someone clearly lays out the profit from “cost → secondary-market sale price,” don’t rush to check whether the profit calculation is right. Ask first: how much can that bid actually absorb?

An order book that can take 2 units isn’t an order book—it’s a billboard.

Stay scam-aware. Learn a little every day.

$BNB $SOL $BTC #aipro #ai交易 #On-chain data

Yesterday I said: 571 samples, average loss of 45%.

Someone asked me: Were any of them profitable?

Yes. Over two hours, three trades came through.

Niu Coin +642%. Market cap: 108,000; token age: 16 minutes.
SWOGE +347%. Market cap: 11,000; token age: 19 minutes.
Niuniu +73%. Market cap: 16,000; token age: 7 minutes.

All three were on BSC.
All three came from inflow signal sources.
All three had market caps below 150,000.
All three were less than 20 minutes old.

At the same time, across 352 samples on Solana, the median was −80.5%, and not a single one gained more than 100%.

I’m not saying BSC is profitable.

The overall pool is still losing money. 31 open positions, cost basis 2890, sellable value 1749.

What I’m asking is something else:
When these four traits coincide, is it a coincidence or a set of conditions?

So I changed one thing.

I turned “BSC + inflow + market cap under 150,000 + token age under 20 minutes” into a tag,
and added it to this ledger. Starting with this trade, anything that meets all four criteria will be tracked separately.

We’ll know in 24 hours.

The ledger is always public. Gains and losses are all recorded—no cherry-picking samples, no hiding failures.

Do you think this is a coincidence or a set of conditions?

$BNB $SOL #aipro #ai交易 #On-chainData

Does anyone know when token purchases and the $19.9 VIP will become available? #aipro

What can you actually do with AI Pro?
🖼️ Image 1 (Cover): A screenshot of your Binance app, or the AI Pro activation page.
AI and Crypto are now moving forward together. Binance is also bringing AI into their platform, and many people still do not know what it actually is.
📌 What are Binance AI and AI Pro?
Binance AI has been rolling out in phases to some users since last year. AI Pro upgrades that chat experience into a workflow-based assistant. With its help, users can set, test, and deploy their own trading parameters. (Zawya)
📅 When was it released?
The one-click activation for AI Pro started on March 25, 2026. It is currently in its beta phase. (Unlock-BC)
⚙️ How does it work?
AI Pro is built on the open-source OpenClaw ecosystem and is powered by AI engines like ChatGPT, Claude, Qwen, MiniMax, and Kimi. These assist with research, monitoring, and trading tasks. (Unlock-BC)
There is a separate mechanism in place for security. Activating AI Pro creates a distinct virtual sub-account with its own separate API key. The AI can only operate after you manually transfer funds from your main account to the sub-account. This means your entire fund is not handed over to the AI. (Binance)
🔍 How does it help in researching new tokens?
Binance suggests using AI Pro to research new projects—such as quickly understanding a project's positioning, team, token utility, and market valuation. If you see an unfamiliar token on the Trending list, this can help you get an initial overview. (Binance)
⚠️ Things to keep in mind
Binance explicitly states that the responsibility for setting strategies and making trading decisions lies solely with the user. They never provide any trading advice. (Unlock-BC)Binance AI is used at your own risk and is provided on an "as-is" basis, without any warranties. (iProfesional)It is an assistant, not a source of financial advice. (MenaStartupDigest)AI can make mistakes. It is best to start with small amounts.The feature may not be available to everyone yet, as it is only rolled out to eligible users.
✅ Conclusion
AI can make your work easier, but the responsibility for making decisions is yours alone. Do not trade blindly based on what the AI says without doing your own verification.
⚠️ This is purely educational content and not financial advice. Crypto involves risks, do your own research (DYOR).
📅 Information current as of October 21, 2026. Features are subject to change.
#BinanceAI #AIPro #binanc #cryptoeducation #AIinCrypto
$BNB

Every day, active crypto traders face a familiar problem: the same research, the same charts, the same indicators, and the same monitoring tasks—repeated across dozens of assets.
You check market rankings, compare trading volume, review funding rates, look for changes in open interest, and monitor price levels. Then you repeat the process a few hours later because the market never stops moving.
What if you could describe the process you want in plain language and let AI help organize the steps?
That is the idea behind Binance AI Pro. Rather than functioning only as a chatbot that answers questions, it is designed to help users build and run structured workflows for market research, opportunity screening, alerts, reporting and supported trading automation.
The goal is not to remove the trader from the process. It is to reduce repetitive work so that more attention can go toward evaluating the results, understanding the risks and deciding what to do next.
What Is Binance AI Pro?
Binance AI Pro is an AI-powered trading assistant that can connect conversational instructions with supported Binance tools and functions. Users can ask for market analysis, monitor assets, develop strategies and, when appropriately configured, execute supported trading actions through a dedicated AI account.
Its workflow-building experience allows users to describe an objective, refine the requirements, review the proposed process and test it before deciding whether to deploy it. Depending on the task, a workflow can focus on research and reports, monitoring, alerts and signals, or trading automation.
Read the official Binance AI Pro guide.
The no-code idea is straightforward: describe the outcome you want instead of manually building every step yourself.
That does not mean the user can ignore the underlying logic. A workflow still needs clear conditions, appropriate data, sensible limits and ongoing review. AI can help construct the process, but it cannot guarantee that the process is useful or profitable.
1. Build a Market Screening Workflow Without Coding
Screening is one of the most repetitive tasks in crypto research.
Imagine you want to identify assets showing a combination of rising trading activity, strong relative performance and increasing derivatives-market interest. You might otherwise open several pages, collect data, compare metrics and manually decide which assets deserve more attention.
With AI Pro, you can describe the screening objective and ask it to organize the analysis using the supported tools and available data.
For example, you could start with this prompt:
Example prompt: “Screen a defined list of liquid crypto assets using recent price performance, trading volume, funding rates and open-interest changes. Rank the assets that meet my criteria, explain which conditions each one satisfies, and flag missing or conflicting data. Do not place any trades.”
This is a proposed example of how to communicate a task, not a guarantee that every metric or screening configuration is currently supported. You should confirm which data and skills are available in your AI Pro environment.
The value is in making your criteria explicit. Instead of receiving a vague list of tokens that an AI considers interesting, you can request a structured result that shows why an asset passed or failed your screen.
A useful output might contain the asset, the conditions met, the relevant measurements, the reasons for further investigation and any limitations in the available data.
The result is a research shortlist, not a buy signal. An asset that passes a screen can still fall in price, and unusual volume or funding rates can reflect crowded positioning rather than an attractive opportunity.
2. Turn Daily Research Into a Repeatable Report
Screening identifies what deserves attention. Reporting helps you understand what has changed.
Many traders repeat a daily routine: review the broader market, check selected assets, compare derivatives data and summarize the most important developments. The exact information varies, but the structure often stays the same.
AI Pro can help organize that routine into a reusable research workflow.
Consider a daily market briefing that covers BTC, ETH and BNB. You might ask the workflow to summarize price changes, compare recent volume, highlight significant changes in relevant derivatives metrics and list the main questions that deserve further research.
A useful prompt could be:
Example prompt: “Prepare a daily research report for BTC, ETH and BNB. Summarize recent price and volume changes, identify notable changes in supported derivatives metrics, compare the findings with the previous report where data is available, and separate observed facts from possible interpretations. Include the data timestamp and flag anything that needs manual verification.”
Once the workflow has been configured and its data sources verified, the same structure can be reused instead of rebuilding the report from scratch each morning.
This is especially useful when you want consistency. A repeatable report makes it easier to compare today's conditions with yesterday's without changing your research method every time the market moves.
There is an important limitation: a polished report can still contain incomplete information or incorrect interpretations. Always check timestamps, verify important numbers and distinguish actual market observations from AI-generated explanations.
3. Automate Monitoring and Alerts
A screening workflow helps answer, “What deserves attention now?”
A monitoring workflow helps answer, “Has anything changed since I last checked?”
Crypto markets operate around the clock. Watching every asset continuously is impractical, even for experienced traders. Monitoring workflows can help reduce the need to manually revisit the same data throughout the day.
Suppose you want to follow BTC and ETH and receive an update when specified market conditions change. You could describe the assets, the measurements you want to monitor, the thresholds that matter and how you want the results reported.
For example:
Example prompt: “Monitor BTC and ETH for the conditions I specify. Notify me when one of those conditions is met, show the supporting market data and timestamp, and explain which rule triggered the alert. Do not execute orders.”
The precise monitoring options depend on the skills and workflow features available to your account. After defining the task, review how often it checks for changes, how alerts are triggered and what happens when data is unavailable.
The distinction between an alert and an order is important. An alert gives you information to evaluate. An order changes your market exposure.
For many users, monitoring is a sensible place to begin because it introduces workflow automation without immediately delegating trade execution.
4. Move From Screening to Strategy Testing
Once a screening process identifies an asset, the next question is whether a defined strategy would make sense under different market conditions.
AI Pro can support strategy development and testing, including backtesting or paper trading where available. This allows users to investigate a set of rules before considering live execution.
Imagine a trader wants to evaluate a simple momentum strategy. Rather than asking AI to “find a winning strategy,” the trader defines a testable hypothesis and asks for a structured evaluation.
For example:
Example prompt: “Help me evaluate a rules-based momentum strategy using the available historical data. State the entry and exit conditions explicitly, include fees and other relevant assumptions where supported, report drawdown and trade frequency alongside returns, and identify limitations in the test. Do not deploy the strategy or place live orders.”
This approach changes the question from “Can AI predict the market?” to “How would this defined set of rules have behaved under the conditions we can test?”
That is a more useful question, but the answer still has limits.
A backtest can be distorted by overfitting, incomplete data, unrealistic execution assumptions or parameters chosen because they happened to work in the past. Paper trading can help test operational behavior, but it does not fully reproduce live-market conditions.
A strategy that looks good in a test is a candidate for further evaluation, not proof of future performance.
5. What a Real Trading-Desk Workflow Looks Like
The benefits become clearer when the tasks are connected.
Imagine a trader who wants a structured process for researching a small group of assets each day.
First, a screening workflow reviews the selected market metrics and creates a shortlist. Next, a research workflow produces a report explaining why each asset met the specified conditions. A monitoring workflow then watches for changes that satisfy the trader's alert rules. Finally, the trader can review the findings and decide whether further analysis or strategy testing is appropriate.
The process can be represented as:
Screen → Analyze → Monitor → Review → Decide
Each stage has a specific job. Screening narrows the field. Analysis adds context. Monitoring tracks changes. Review checks whether the results are credible. The final decision remains grounded in the trader's objectives and risk limits.
Some tasks may be combined in a single workflow, while others may require separate configurations. The exact implementation depends on the available AI Pro tools and the requirements you define.
The benefit is not that every trade becomes automatic. It is that the research process can become more consistent and easier to inspect.
What Binance Research Found in Its AI Pro Workflow Case Study
Binance Research's April 2026 case study examined how AI Pro could support practical crypto research workflows.
One example involved combining token information and market-ranking capabilities to assemble support and resistance levels, volume profiles, funding rates and open-interest trends in a single analytical pass. The report described this as compressing a manual process that previously involved five tabs into one output.
The case study also highlighted an important operational lesson: automation makes unclear instructions more consequential.
For example, the report noted that re-entry conditions needed to be specified explicitly. If a trader expects a workflow to allow another entry on the next daily check, that rule should be stated rather than left for the AI to infer.
It also cautioned that backtests are not forward results and that automation can amplify incorrect assumptions just as easily as correct ones.
These lessons matter more than simply reducing the number of clicks. A shorter workflow is only useful if its logic remains understandable and its outputs are checked.
Read the Binance Research case study.
Staying in Control: Permissions, Accounts and Risk
No-code automation can make advanced tasks more accessible, but ease of setup should not be confused with low risk.
Binance's documentation describes AI Pro as using a dedicated virtual sub-account, separate from the main Binance account, with restricted API permissions and user-configurable trading permissions. This separation is designed to limit what the AI account can access; it does not eliminate losses within that account.
Before enabling a workflow, review what it can do. A research-only task should not need the same permissions as a workflow that can place orders. Where possible, start with analysis, monitoring and alerts before considering execution.
If you decide to test trading automation, define the strategy conditions and risk limits clearly. Review how the workflow handles missing data, repeated signals, re-entry, order failures and changing market conditions. Make sure you understand how to intervene or close positions if the system behaves unexpectedly.
Also review the current product terms before activation. Binance's AI Pro FAQ notes that available trading functions depend on jurisdiction and that strategy activity and positions can be affected by deactivation or account changes.
Review the official AI Pro FAQ.
How to Get Started Without Overcomplicating It
The most effective first workflow is usually small and easy to verify.
Choose one task you already repeat, such as screening a shortlist of assets or preparing a daily report. Describe the task in plain language, specify the data and conditions you want, and ask AI Pro to explain the steps it proposes. Review the logic, test the output against information you can verify independently and refine the instructions where needed.
Only after the workflow behaves as expected should you consider adding more assets, more conditions or scheduled execution.
There is no need to start with a complex trading bot. A consistent report that saves time and makes your research easier to compare can already be useful.
Frequently Asked Questions
Can I use Binance AI Pro without letting it trade?
Yes. Binance's FAQ says users can use AI Pro for market analysis and general conversation without linking a trading account. Trading execution requires a linked AI account and the relevant permissions.
Do I need coding skills to build a workflow?
AI Pro is designed to let users describe tasks in natural language and build workflows conversationally. You still need to specify what you want, review the proposed steps and understand the results.
Can AI Pro screen every cryptocurrency automatically?
Available screening depends on the supported tools, data and workflow configuration. Define the asset universe and metrics you want to use, then confirm that the relevant information is available before relying on the output.
Can I schedule research and monitoring tasks?
AI Pro supports workflow types that include research, reports, monitoring and alerts. The exact scheduling and deployment options depend on the available product features and your account access.
Does a successful backtest mean a strategy will make money?
No. Backtests evaluate historical conditions and depend on their assumptions. Market conditions can change, and real execution introduces costs, slippage and other risks that a test may not fully capture.
Is Binance AI Pro available in every country?
No. Product access and trading functions can depend on jurisdiction, account eligibility and applicable regulations. Check the current Binance app and official product documentation for availability.
Final Takeaway
No-code crypto workflows are not about asking AI to find a guaranteed winning trade. They are about making the research and monitoring process more structured, repeatable and easier to review.
Binance AI Pro can help users turn plain-language objectives into workflows for screening, reporting, monitoring and supported strategy automation. The most sensible starting point is a task you already understand—one where you can check the output and measure whether the workflow actually saves time.
Start with research. Add monitoring when you need it. Consider trading execution only when you understand the strategy, permissions and risks.
The goal is not to automate every decision. It is to spend less time repeating routine work and more time evaluating the decisions that matter.
Disclaimer
This article is for educational and informational purposes only and does not constitute financial or investment advice. AI-generated research can be inaccurate, and automated strategies can result in losses. Backtesting does not guarantee future performance. Product features and availability may vary by jurisdiction and account eligibility. Verify information independently and review permissions and risks before deploying any workflow.
#Binance #BinanceAI #AIPro #cryptotrading #TradingAutomation

aipro

After listening to He Yi’s AMA, I think I finally understand what AI Pro could mean for manual traders like me

What is Binance AI?

No-Code Crypto Workflows: How Binance AI Pro Automates Research, Screening, and Routine Tasks

aipro

After listening to He Yi’s AMA, I think I finally understand what AI Pro could mean for manual traders like me

What is Binance AI?

No-Code Crypto Workflows: How Binance AI Pro Automates Research, Screening, and Routine Tasks

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