Are you already using ChatGPT or Grok for trading?
Upload a chart. Ask a question. Get an analysis.
And then the most important part begins.
What should I do with this analysis?
Enter or wait? Where should I place the stop? What are the targets? What confirms the trade? What invalidates the trading scenario? What should I do if the market moves against me?
And this is where the problem arises.
One prompt isn’t enough.
If every time you just ask the AI: “Where will the price go?”, you may get different—and sometimes contradictory—answers.
Why?
Because ChatGPT or Grok by itself doesn’t become your trading assistant.
It needs the right data, an analysis structure, a sequence of actions, filters, and verification rules.
I use ChatGPT / Grok as an AI assistant for a trader and work according to a specific system.
Data → analysis → verification → trading scenario → entry → stop → targets → cancellation conditions.
At the core of the system:
— technical analysis and Price Action — market structure and levels — accumulation zones and technical analysis patterns — RSI / MACD — liquidity and liquidation map — Spot / Futures, inflow and outflow of capital — whale orders and large trades — scenario confirmation and cancellation — alternative price movement options
But the point isn’t to use as many indicators as possible.
The goal is to learn how to build a well-grounded trading scenario from this data BEFORE entering the trade.
So you understand not only where to buy or sell, but also why you’re considering this particular trade, what risks you’re taking, and when you need to stop considering it.
What am I teaching?
You learn to create your own AI assistant for trading based on ChatGPT / Grok.
Not a trading bot. Not a random signal generator.
And the tool that helps you independently analyze the market, test trading ideas, and make decisions.
During the training, we:
Set up the AI assistant.
We break down how to provide market data and charts correctly and how to formulate requests so that the analysis is consistent and verifiable.
We learn how to build trading scenarios.
Work with the real market: analyze structure, liquidity, indicators, and Price Action. Define entries, stops, targets, confirmations, and cancellation conditions.
We review your trades and mistakes.
We look at which decisions were justified, where the trading plan was violated, and where emotions and improvisation started.
The course runs through 3 practical online sessions.
As a result, you don’t just get one ready-made signal—you gain the skill to independently create and verify trading scenarios through your own AI assistant.
But how can you check that this system works?
Don’t just take my word for it.
Open my account @INVESTIDEAUA and go to the “Citations” section.
There you can see how my AI assistant creates trading scenarios and how they perform on the real market.
I publish:
— initial trading scenarios — entry points, stops, and targets — the logic of decision-making — the actual execution of trades — results, including mistakes
You can independently compare the initial scenario with what actually happened in the market.
And now a question for you.
Do you want to keep just asking ChatGPT or Grok where the price will go, or do you want to learn how to create your own AI assistant for trading?
If you want to figure out how to build your own AI assistant, configure it for your trading, and learn to create trading scenarios yourself —
Write in the comments “SYSTEM”.
I’ll provide information about the training and access personally.
