Webot’s Ceo Says Today’s Trading Bot Is Blind. Ai Is How It Learns To See

What Happened

Jay Hua, CEO of Webot US and a former vice president at Goldman Sachs, was the main speaker. He was joined by Alevtina Labyuk, chief strategic partnerships officer at BeInCrypto, who previously held marketing roles at companies including Visa; Abay Beyshenkulov, a partner at VComms, a PR firm that works with business and tech companies on media visibility; and Modern Mining, founder of the YouTube channel of the same name, who has run Webot grid bots for about three years.

Those three things do not sit comfortably together. A hotter market makes people want more automation. Tighter rules make them ask whether the venue is safe enough to leave a strategy running. AI makes the tool look smarter, and it also raises the question of trust.

Market Context

Webot hosted Beyond the Bot: How AI Is Rewiring Automated Trading. Automated trading is already widely used. The discussion was about how far AI should go inside a bot that already runs in the background, and what needs to be in place before it is allowed to do more.

The hour moved in a fairly straight line: first the market, then what AI is actually useful for, then what Webot plans to build.

What the market is doing now

Modern Mining kept the price discussion grounded. Bitcoin had been stuck for months and then finally moved higher. He did not rule out a short-term pullback, and he also did not sound finished with Bitcoin.

Hua went a step further. The market is getting more mature, he said. The last two weeks were encouraging, and the best is yet to come.

Alevtina’s reading was more structural. For a couple of years, Bitcoin has been less about crypto-native headlines and more about ETF flows, rates, and institutional money. If you want a sense of where price might go, watch where that capital is moving.

Abay added another layer behind the tape. Venture money in the space has been thinner than in other industries, and some of it is now looking at the overlap between Web3 and AI. Institutional capital, he said, is coming back.

Modern Mining did not ask Webot to replace grid trading. He has been running these bots for about three years and has, at times, kept most of his portfolio in them. He already likes the AI backtest offered at setup. What he wants next is the same kind of view after the bot is live: what the last 30 days actually paid, and what that period might have looked like if the number of grids had been tweaked. That setting is not intuitive, he said. Cutting grids can raise profit or lower it, depending on how often the bot trades.

Hua’s reply was the center of the session. Today’s bot is consistent and tireless, but it is also blind. Users set parameters and the system keeps running. It does not really see when market conditions have changed, which means those parameters can quietly stop fitting the tape.

That sequence also sits inside a broader company shift. Webot is a licensed exchange with trading bots built into the venue, rather than a third-party tool connected by API key. In the United States it is licensed across 48 states and the U.S. Virgin Islands. In Europe it holds a MiCA Trading Platform Authorization issued in Ireland. Hua said the rename from Pionex.US to Webot followed that EU license. The business was no longer only American, and the name needed to reflect that.

Questions in the chat stayed close to the same ground: the rebrand, risk tools, and how a bot should behave when volatility picks up. It sounded less like a victory lap than like users asking where the next control will sit.

The market has some heat back in it. At the same time, the rulebook is getting harder to treat as optional, especially in the U.S. and Europe. AI is the third force in that mix. Almost every trading product now has to say what it is doing with it.

Why It Matters

Alevtina put the tool in a practical place. AI is good at gathering context — news, sentiment, positioning — and turning a set of weak individual signals into something more usable than a single hunch. That does not mean the output is always right, and it does not mean the trader should hand over the decision. Experience still matters when it comes to which signal to trust. AI can advise. It cannot guarantee a result.

Second, AI that can watch a running bot and offer suggestions worth considering.

Details

That context made the AI question less abstract. If larger flows are doing more of the work, a bot that only repeats yesterday’s parameters is going to age faster.

Where AI helps, and where it stops

Trust sat inside the same discussion rather than off to the side. After recent exchange failures, Alevtina said the first gate is whether the venue is regulated and safe, especially in Europe. Only then does it make sense to let AI move from fixed rules, to advice, to something closer to a person’s own limits and style.

What Webot is building next

The work Webot is trying to do, as he described it, is not to build a bigger general model. It is to help the system read live conditions against the settings already in place. That sits in three stages.

First, AI that can explain the product and features in plain language.

Third, AI that can act, but only inside set boundaries.

What Webot is betting on