Processing speed
It reviews thousands of data points a minute, something a person cannot do. That lets it detect a change in seconds and tell you when it happens.
How the SQM Financerra AI helps you understand financial markets almost in real time: it collects data, spots patterns and presents them clearly so that you can decide better.
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A personal manager will contact you within 24 hours.
A set of models that reads market data and turns it into information you can use.
Its role is twofold: to observe more data than a person could follow and to present it in an understandable way. For example, to tell you that an asset is moving unusually, to show its recent behaviour or to check whether the conditions of a strategy are met.
It matters to understand its role: the AI is a support tool, not a replacement for you. It does not make investment decisions for you, does not know your financial situation and cannot foresee the future. What it does is organise the information so that you decide with better data.
Nor does it replace reading the conditions: before switching on any strategy it pays to understand which assets it uses, how much capital it commits and what maximum loss you accept. Your manager helps with that review and you can repeat it whenever your goals change. If the platform ever shows you something you do not understand, you are entitled to an explanation in plain words before acting on it.
Four stages that repeat without a pause while the market is open.
It takes prices, volumes and other indicators from the market sources your exchange connects to.
It cleans the information, compares it with the history and calculates trend and volatility indicators.
It continuously checks whether anything meets the rules or exceeds the alert thresholds you set.
It shows what is relevant on the dashboard and sends notices with enough context to understand what happened.
Six aspects of the market that are reviewed for every asset you follow.
None of them alone says what the price will do. The AI combines them and compares their current behaviour with the past, to show you whether something is moving outside the normal.
| Aspect | What is measured |
|---|---|
| Price movement | Rises, falls and the speed of change. |
| Trading volume | How many operations are made in a period. |
| Volatility | How sharp the price changes are. |
| Trends | The general direction of the price over different time frames. |
| Historical dynamics | Past behaviour in similar situations. |
| Changes in conditions | Signs that the market is behaving differently. |
Five real advantages, and a warning at the end.
It reviews thousands of data points a minute, something a person cannot do. That lets it detect a change in seconds and tell you when it happens.
It does not tire or get distracted. It watches at night and at weekends.
It spares you from reviewing charts for hours to find what matters.
The dashboard refreshes with the most recent data available.
Explanations are simple, and advanced parameters are there for those who want them.
It does not predict the future. Better analysis is not a guarantee of better results.
For people who want technological support to follow stocks and cryptocurrencies with little time available.
It serves people who work awkward hours, those who are only now getting interested in markets and do not know where to start, and also those who already trade and want a second pair of eyes watching while they do other things.
It is not a solution for someone who expects a machine to make money on its own. Whoever arrives with that idea usually ends up frustrated.
You leave your details and your personal manager contacts you within 24 hours.
You verify your identity and connect your trading account with read and trade permissions.
You explore the dashboard and the simulator with your manager.
You switch on alerts and strategies, and review the result calmly.
A simple scenario, with invented numbers, to show how the system reacts.
Suppose you configure a volatility alert: it will notify you when an asset moves twice as much as it normally does in an hour. One Tuesday afternoon, after a news item, one of the assets you follow starts to move harder and on higher volume.
The AI compares that behaviour with its average over recent weeks, sees that it exceeds your threshold and sends you a notice with the asset, the size of the move and the time. You open the dashboard, look at the chart and decide whether to pause the strategy, leave it as is or adjust a limit. If you had configured it to stop at a certain loss, it does so by itself.
If, on the other hand, you had not defined any limit, the system does not invent one: it tells you and waits for your decision. That is the reason we recommend defining them before you start, calmly, and not in the middle of the move.
It arrives by email with the asset, the move and the rule triggered.
You can ignore it, pause or change a limit. The control is yours.
Everything is noted in the history to review later, even when the decision was to do nothing.
A model is only as good as the data it learned from and the rules it is given.
Artificial intelligence models can fail in situations they have not seen before: a crisis, a regulatory change or an unexpected event. They can also overfit, meaning they work very well on past data and badly on new data. We know those risks, which is why the system operates within limits that you define, and not with total freedom.
In addition, the team periodically reviews the performance of the models and adjusts alert thresholds. When the market changes sharply, the platform can stop trading instead of continuing to apply rules that stopped being suitable. That pause is an aid, and it does not remove losses or ensure that capital is preserved.
More in the FAQ.
It collects market data, processes it with statistical and machine-learning models, and displays it in an orderly way. With that it detects patterns and checks whether the rules you defined are met.
It runs the strategies you switched on, within the limits you set. It does not open new strategies on its own or change your parameters. You can pause it whenever you like.
Yes, the analysis is continuous. That does not mean results are constant: there can be long periods without signals and others with a lot of activity.
Yes. The same engine analyses both markets, with parameters adapted to each. Each market has its own page with the detail.
No. The dashboard shows information without jargon, and your manager supports you through the setup. If you want to learn more, there are guides and articles.
Yes. It learns from past data and the market can change behaviour. That is why there are loss limits, alerts and the ability to pause. No model guarantees results.
Create your free account and ask your manager to show you the dashboard and the simulator. Trading carries a risk of loss and no model guarantees results.