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Walbi | Your AI crypto agents
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π€ Delegate your trading routine. Digitize your strategy or choose a ready-made one. No code, instant execution. Smarter than bots, colder then copytrading π π linktr.ee/walbi Collaboration: @WalbiSupport.
Show moreπ Analytical overview of Telegram channel Walbi | Your AI crypto agents
Channel Walbi | Your AI crypto agents (@walbicom) in the English language segment is an active participant. Currently, the community unites 79 251 subscribers, ranking 1 640 in the Cryptocurrencies category and 577 in the International region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 79 251 subscribers.
According to the latest data from 17 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -2 540 over the last 30 days and by -49 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.66%. Within the first 24 hours after publication, content typically collects 0.66% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 523 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as dyor, walbi, indicator, reply, momentum.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βπ€ Delegate your trading routine. Digitize your strategy or choose a ready-made one. No code, instant execution. Smarter than bots, colder then copytrading π
π linktr.ee/walbi
Collaboration: @WalbiSupport.β
Thanks to the high frequency of updates (latest data received on 18 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Cryptocurrencies category.
79 251
Subscribers
-4924 hours
-5837 days
-2 54030 days
Posts Archive
πΈ Bragging rights are now a built-in feature.
We added a Share button to DCA agent trades on Walbi. Your best wins on Traffic Light (and any custom DCA agent) now ship straight to your timeline as a clean P&L card β green numbers, leverage, entry price, and a very buff Pepe.
It was about time. Regular trade sharing has been around for a while. DCA sharing is brand new.
How to flex:
Open your DCA agent β Activity β History β tap Share on your fattest trade.
Now your timeline knows what you've been cooking. Your friends are jealous. Your portfolio looks healthy. It is what it is.
walbi.com β flex responsibly.
Why traders are moving to AI agents π
π Crypto markets operate 24/7, and keeping up with every asset, signal, and market shift manually is becoming increasingly difficult.
AI agents help traders monitor the market continuously, analyze changing conditions, and react based on predefined logic and real-time data.
π One of the main advantages is consistency. Human trading decisions are often affected by fear, greed, hesitation, or fatigue. AI agents can follow a strategy without emotional bias, helping reduce impulsive decisions during volatile market moves.
π₯ Speed is another key factor. In crypto, market opportunities can appear and disappear quickly. AI agents can process signals and execute actions faster than a manual workflow.
As markets become more complex, traders need to consider more than just price: volume, volatility, funding rates, liquidations, multiple timeframes, and cross-market signals all matter. AI agents can analyze these inputs together and support more structured decision-making.
The goal is not to replace traders or βpredict the marketβ perfectly. The goal is to give traders a smarter execution layer that helps them stay systematic, adaptive, and less dependent on emotion.This is why AI agents are becoming an increasingly important tool for modern crypto trading.
The market is acting like a psychological thriller again, traders are arguing with the chart, and Price Action is calmly following the strategy with +5.87% ROI over 14 days π
π app.walbi.com/join/agent
The agent already has $33M turnover, 6.9K traders, and +21% APR, built around ICT smart-money concepts and key indicators for moderate-risk trading.Sometimes the best trade is the one where you donβt get in the strategyβs way π
My cat watches me trade. I think he knows something I don't π
Drop your trading cats in the comments π
+1
But seriously, modern AI agents donβt work like traditional bots with βif RSI is below 30, buyβ logic π
They analyze context: whether itβs a real correction or a fake dump, whether volatility is expanding or fading, whether it makes sense to be aggressive right now or wait, and whether the stop-loss should be moved or nothing should be done at all π€
And this happens continuously, because an agent doesnβt need to sleep, panic over a red candle, or close a position just because some anonymous account on Twitter posted βtop signalβ.
π While youβre distracted by memes, the agent keeps monitoring the market, recalculating risks, reacting to volatility changes, and executing trades faster than most traders can refresh the chart one more time.
Basically, the agent does what every trader promises themselves to do every Monday: look at the data, avoid panicking, and stop turning every entry into a personal drama.
When your AI agent is up +12%, but your manual trades are down -7%
π You spent hours watching charts, moved your stop loss 4 times, panic-checked Twitter after every candle, and still somehow lost to a strategy that doesnβt even know what fear is.
The hardest part of trading is accepting that an emotionless algorithm sometimes reacts to the market more calmly than you do π«£
While someone is still waiting for the βperfect entryβ, traffic light custom has already made +9.23% ROI in 14 days π
π app.walbi.com/join/agent
241% APR $1.9m Volume 377 Traders insideAnd somehow, not a single βis this the reversal?β panic message was needed. Traffic Light Custom is a DCA agent. It doesnβt try to play βguess the candleβ. It enters by signal, and if the market moves against the position, it averages down across pre-calculated levels. Basically, βIβll buy lowerβ but as an actual system, not emotional damage control. The logic is simple: once thereβs a decent bounce, the agent closes the position in profit from the average entry price. Not magic, just math + the understanding that crypto almost never moves in a straight line, because apparently even charts get bored.
Traffic Light Custom also uses dynamic take-profit and strict risk control. By default, it works with 5x leverage, but signals, instruments, and leverage can be customized.While some are trying to sit through the market with caffeine and fear, DCA agents are just farming volatility. And judging by Traffic Light Customβs results, theyβre farming it pretty well. Sometimes the best trader in the room is the one with no hands to press panic sell.
While you sleep the market doesn't waitπ€
That's why AI agents trade around the clock β it's one of the main practical advantages in crypto.
An agent doesn't get tired, doesn't panic and doesn't miss a signal because it got distracted. It works within your strategy and risk parameters at any time of day.
One condition: the strategy and risk management need to be solid.Trading around the clock without clear boundaries is not an advantage.
+3
We're talking about trading, just so you know π«£
Drop yours π
Don't want to build an agent from scratch β you don't have to π―
On the Walbi marketplace other traders publish their agents with full history and stats.You see the returns, maximum drawdown and risk profile of each agent before putting in a single dollar. Found one you like β connect your capital in a few clicks. π app.walbi.com/join/agent You can also split your deposit across multiple agents at once.
What's the difference between an AI agent and a trading bot? π€
Most people think it's the same thing. It's not β and the difference matters more than you'd think
A regular bot works by rigid rules: if X then Y. It doesn't think, it just executes. An AI agent is more flexible β it can handle complex workflows and factor in online information like news and macro data into its logic π§
Walbi has two types of agents:
π° Fundamental agents react to news, events and macro context
π Algorithmic agents work with indicators, levels, rules and math
You don't need to know how to code. Just describe your trading idea in plain language and get a working agent instantly. Walbi calls this the "start with one message" approach π¬A good prompt reads like a mini trading plan. What to include: assets and timeframes, entry and exit triggers, risk limits, max position size, leverage, daily loss limit, drawdown limits, when not to trade and behavioral rules Prompt example: trade BTC and ETH on 1H. Trend-following entries when price is above 200 EMA and momentum confirms. Risk 0.5% per trade, max 2 open positions, max daily loss 2%. Stop at level invalidation, take profit at 2R. Stop trading after 3 losses in a day The core principle: you define the strategy and risk parameters. The agent executes and monitors within those boundaries π―
Three ways to create an AI agent on Walbi
π app.walbi.com/join/agent
Via chat β describe what you want, and the agent builds itself. Via form β if you prefer to control every parameter manually. Via marketplace β if you'd rather skip the setup and pick a ready-made strategy from the community.No coding. No API. Just choose what works for you.
+3
Launching a strategy without backtesting is like stepping into the ring without training: no warmup, no sparring, no idea how you hold up under pressure π
You might think the logic is solid. But logic that looks good on paper often behaves completely differently in real market conditions.
That's exactly what backtesting is for β not just to see if a strategy is profitable, but to understand how and why it works. Or doesn't.A good backtest shows more than just returns. It reveals where the strategy breaks, in which market conditions it stops performing, what drawdowns look like in the worst scenarios, and what risks you're actually taking on. Here's what a proper backtest actually reveals π
Everyone has a plan until the market goes red and the portfolio turns into modern art.
We've all been there β refreshing the chart every 30 seconds like it's going to change something, or pretending the app doesn't exist until things get better.
Tell us which one you actually are π
The special guest is David an analyst from CryptoSavingExpert π₯
We're going live in just over an hour π
Current market, what's moving, where this is heading β real talk, no fluff.
π x.com/i/spaces/1AJEmOqwzkYJL/peek?s=20
See you there!
Something's happening today at 13:00 UTC! π₯
π https://x.com/i/spaces/1AJEmOqwzkYJL/peek?s=20
We're bringing in a special guest β a trader who's seen more market cycles than most. Current situation, what's actually moving, where this is all heading.
You don't want to miss this one
6,500 traders on Walbi are running the same agent π₯
Not because there's no alternative β because it consistently delivers results.
Walbi gives you two paths: pick a ready-made strategy built by experienced traders, or configure your own from scratch.The infrastructure is there: the decision is yours π
