You can follow three pairs at once. The engine follows every one you switch on.

One Person Cannot Watch Forty Pairs

Ask a discretionary trader how many instruments they genuinely follow and the honest answer is three or four. Beyond that, attention thins out: the fifth chart gets a glance, the tenth gets remembered only after it has moved. This is not a discipline failure. It is the ordinary limit of one person with one screen and a life attached.

That limit has a price, because crypto setups are time-boxed. A condition that qualifies at 04:10 may no longer qualify at 07:30, and the difference between those two timestamps is usually the whole edge. Widening the watchlist by hand does not help; it simply spreads the same attention thinner across more places to miss something.

BankAura AI removes the roster problem rather than the judgement problem. You still decide what a valid setup looks like and what you are willing to risk. The platform’s contribution is that it applies those definitions to every enabled pair on the same cycle, at the same standard, at four in the morning as attentively as at midday. It is not a forecasting product and it does not claim to know direction. It is coverage plus consistent arithmetic.

What is tracked on each enabled pair

The scoring is tuned per pair rather than globally. A funding shift that reliably precedes movement in one perpetual is not assumed to mean the same thing somewhere else, and an input with no historical relationship to an instrument is not allowed to vote on it.

Everything runs server-side and reaches you through the browser. There is nothing to install, no licence key, and no requirement to keep a machine awake for the strategy to stay live.

Signal-Only First, Funded Later

There is a sensible order to this, and it is not the order most people follow. Registration is free and takes under a minute, but nothing about it obliges you to fund anything on day one.

Start in signal-only mode. The engine evaluates your enabled pairs and tells you what it would have done and why, while your money stays exactly where it is. Two or three weeks of that is worth more than any amount of reading, because you find out whether the logic matches your own judgement in conditions you recognise. Where it disagrees with you, one of you is wrong, and the log makes it possible to work out which.

Move to confirm-each-order next. Now the engine proposes and you approve, which keeps a human in the loop while the monitoring breadth does the part you could not do manually. Most people stay here until the approvals start feeling like a formality — that boredom is the signal you are ready for the third stage.

Full automation is the third stage, and it changes who presses the button rather than how risk is handled. The same rules and the same ceilings apply in all three modes, which is the point: nothing about your risk profile silently loosens when you hand over execution.

Funding matters only once you have chosen a mode. That figure is a floor with a function rather than a sales threshold: sizing rules spread a balance across positions so no single trade decides your outcome, and beneath a certain amount there is simply nothing to spread. Fund an amount whose complete loss would be irritating rather than damaging.

What Support Can and Cannot Settle

Support is included at every balance level and staffed continuously, not during one region’s business hours. The useful questions it can answer are specific: which condition failed to clear on a move you expected to catch, what your exposure was at a given moment, why an order filled at a worse price than the estimate suggested. Those have factual answers and the records to back them.

What no support desk can tell you is whether a particular trade suits your circumstances, or make a market behave. Anyone offering the first is overstepping, and nobody can deliver the second.

Costs, Risk, and the Claims We Do Not Make

Security first, briefly, because it should be unremarkable: traffic and stored data are encrypted to standards used across regulated finance, identity verification gates account access, sessions are monitored for anomalies and sensitive actions require re-authentication. That is a baseline, not a differentiator.

The part worth more of your attention is cost, because it is where returns quietly disappear. A strategy that looks profitable on price movement alone can be flat or negative once everything below has been paid. The platform prices these in before an entry qualifies, and reports them afterwards.

Now the claims we will not make. BankAura AI cannot promise profit, and any platform that does is telling you something about itself. Consistent execution and honest cost accounting improve the quality of the decisions being made; they do not make a losing approach profitable and they do not remove market risk. The large majority of retail accounts trading leveraged products end up down over time, and crypto’s volatility and thin overnight books do not soften that. A good model shifts probabilities. It does not repeal them.

Screenshots and past periods shown here illustrate the reporting format. They are not a forecast, a typical result or a promise of anything.

Before You Fund, Check Three Things Yourself

Whether the product is permitted for retail clients where you live — crypto derivatives are restricted or prohibited outright in a number of jurisdictions. How gains are taxed in your situation, which differs sharply by country and is not something we can advise on. And the terms of the third-party venue holding your funds: its fee schedule, custody arrangements and withdrawal timing are set by that venue, not by this platform, and are far easier to establish before a deposit than on the day you want the money back.

This suits someone who already knows what they want to trade and what they refuse to risk, but cannot be in front of a screen for the hours that matter. It does not suit anyone looking for guaranteed income, anyone committing money needed on a fixed date, or anyone hoping to skip learning how markets behave.