Stocks with AI

Traditional equity research is a second job: filings to read, calendars to track, levels to watch and discipline to hold when headlines shout. The engine does the watching part. It ingests price series across timeframes, order flow and realised volatility, and looks for the small repeating patterns that appear when thousands of participants interact: momentum continuations after consolidation, exhaustion signatures after sharp moves, and divergence between index direction and component behaviour.

What the AI processes is data, not predictions. Price movement across intraday, daily and weekly windows; volume changes that confirm or contradict those moves; volatility regimes that tell it whether conditions favour activity or caution; and the correlation structure between markets, which is how one falling market sometimes drags perfectly healthy positions with it. Probability-based analysis then scores what it sees, and the strategy settings you chose decide what happens next: enter, add, reduce or stand aside.

The human layer stays deliberately thick. Every position on your dashboard carries its reasoning in plain words, every report explains the week in sentences rather than tickers, and a personal manager is one message away when a line needs translating into English. You are never asked to trust a black box; you are shown what it did and why.

Beginners fit well, because stock-index behaviour is comparatively intuitive and preset strategies encode conservative defaults. Experienced investors use it differently: as an execution layer for rules they already trust, with the monitoring burden lifted. People with limited time benefit most of all, which is the honest majority: professionals, carers, shift workers, anyone whose calendar does not have a slot labelled "watch the market".

It suits you less if you want hands-on involvement in every decision, if you need certainty rather than probability, or if the money in question has a deadline attached. Market risk applies to automated stock strategies exactly as it does to manual ones, and guards reduce rather than remove drawdowns. If in doubt, the Risk Disclosure is the page to read before the deposit page.

Monday opens with European hours and the engine already positioned from Friday's close analysis: the dashboard shows what is held, why, and the conditions that would change either. Midweek brings a session where volatility measures climb after a central bank speaker; the guards narrow exposure rather than liquidating it, and the evening report explains the distinction in two sentences. Thursday, a consolidation pattern that scored well breaks out on strong volume at the New York open; the preset adds its fixed slice and attaches exits automatically. Friday, half the addition is reduced into strength as the exhaustion signature appears, the remainder rides with a trailing condition, and the weekly report closes the file with a plain summary: what was seen, what was done, what it cost, what it returned.

Notice what is absent from that week: no pre-market alarms, no indicator staring, no decisions taken at midnight in a bad mood. The user's contribution was setting the rules on day one, reading five sentences per day if curious, and one deliberate review on the weekend. That is the entire intended workload, and for most people it is the difference between participating in equity markets and merely intending to.

Equity indices have calm years and violent ones, and automated strategies inherit the market they run on: a strategy that behaved steadily for months can still hand you a week you dislike, which is why position sizing and stops exist and why we keep restating them. The engine reads public market data; it does not know tomorrow's news, cannot see earnings surprises before they happen, and will sometimes be positioned the wrong way when the world changes its mind. What it does is apply consistent, probability-based discipline to the data that exists, and show you its work afterwards.

Costs deserve the same honesty. Trading commission runs up to 0.58 percent per transaction and FX spreads from 0.8, all displayed before execution, and the monthly platform fee is zero on every tier. A strategy needs to clear its own costs to be worth running, which the net-of-cost reporting makes visible rather than hiding behind gross numbers. Where these limits are acceptable to you, the mechanics above are the whole story; where they are not, better to know now than after a deposit.

One more practical detail worth knowing early: currency. Accounts are held in the currency you fund them with, and equity exposure on this platform is quoted largely in US dollars, so a euro, franc, Canadian or Australian dollar account sees a conversion leg priced into entries and exits, at up to 1.5 percent and always shown before execution. Your manager can walk through what that means for your specific setup in one minute, and the calculator on the homepage already reflects your local currency for the numbers you plan with.

1. 1

   Register

   Create the account and complete verification. Your manager calls within 24 hours to discuss goals and set the plan.

2. 2

   Activate

   Connect your exchange with a read-and-trade API key, then fund the account by bank transfer, card or PayPal.

3. 3

   Analysis runs

   Choose markets, strategy presets and risk limits. The engine scans continuously and executes within your boundaries.

4. 4

   Manage

   Follow the dashboard and weekly reports, adjust settings deliberately, and withdraw whenever you choose.

Withdrawals return through the same rails, free of platform fees, typically within 1 to 5 business days of approval. Support answers at [email protected] during Monday to Friday, 9:00–17:30 CET (excluding public holidays), and every account has a named personal manager regardless of tier. Full conditions live on the methods page and the withdrawal policy.