In this promotional presentation, Alexander Lorenzo introduces an autonomous crypto‑trading product that shifts users from manually trading to managing a profit‑generating AI assistant. He explains the distinction between conventional AI‑assisted trading (where AI performs analysis but humans execute) and fully autonomous trading, where the AI continuously buys, sells, conducts research, and reports results without human intervention. Lorenzo’s "Trader Assistant" is built on seven years of his own trading methodology and is slated for a prototype launch on Friday. He promises that newcomers can earn a modest first profit (e.g., $50‑$100) without any prior crypto knowledge, using the assistant as a stepping stone to deeper involvement. Looking ahead, he envisions scaling from a single assistant to a coordinated team of AI agents that collectively discover opportunities and execute trades, with a human acting only as a manager directing the team’s strategic focus.
Chapters
Imagine if you had something that traded on your behalf, that automatically profited, automatically bought the coins, sold the coins, did the research, and then it would report to you what it did after the fact. Right. It's the difference between you doing it and just being a manager of somebody that's profitable. And so that's what we did. We're launching an autonomous trader. So we had AI traders before where AI would do all of the hard work. But now we're moving into the realm of autonomy. I think that's what a lot of people are asking and they don't really understand how it works. AI trading is different from autonomous trading. Autonomous trading is where it buys, sells, makes the decisions, finds the coins, and it just keeps going nonstop. Buys, sells everything, profits, loss, whatever the case is. And you come back in a week and you're either up or down and you're like managing it. So what you could do is you can manage it to move in a certain direction. You can say, hey, I want you to go into the niche of AI, or I want you to go into this niche, or I want you to go into that niche. It's almost like you're, instead of doing it yourself, you're becoming a manager of a trading assistant. Trader Assistant is AI trained off of my methodologies and what I've been building for 7 years. I think it's a really cool scenario. I was talking to the guy earlier today and he was like, bro, you're about to help a lot of people and break a lot of poverty. And I think this is one of the best ways because it goes from you having to learning the entire trading journey to you potentially, I'm not saying It's perfect, right? You know, we're launching a prototype this Friday, but you can get to the— I believe we're going to get to the point where you can just jump into crypto with nothing, knowing nothing about crypto, make your first $50 or make your first $100, and then that will fuel you into learning more about crypto and getting really involved. But you can jump in quick, right? And so that's what we're trying to do here. And then we can train the model, and the model can be exponentially smarter than us because we can spend spin up a team of AI agents, right? Imagine if you have a trading team. Having a trading team is different from one trading assistant. We're launching the trading assistant, but— and it's fully autonomous, by the way. We have proof of this, um, and we're testing autonomous buying, selling, doing everything. But imagine in the future where you have a trading team, a team of agents all working together to try to find whatever it is to get you profit, and then there's one guy that's executing the trades. That's the future, is running teams autonomously.
