Artificial intelligence
See how Aurora Finspire uses AI to analyse financial markets as they move, turning a flood of data into something you can read. It is a tool that supports your decisions. It does not make them for you, and it cannot promise a result.
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A personal manager will contact you within 24 hours.
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What the platform's AI is
It is a set of statistical and machine-learning models trained on historical market data to spot patterns and measure how unusual current conditions are. Its job is to do the heavy, repetitive reading so that you do not have to.
It is a support tool, not a substitute for you. It has no knowledge of your finances, your goals or your tolerance for loss, which is why the choice to use it, and how far, stays with you.
Assistant, not adviser
The system does not recommend what you personally should do. It reports what the data shows and runs rules that you have chosen.
How the technology works
- 1
Data collection
Prices and volumes arrive from connected exchanges and market feeds.
- 2
Intelligent processing
Models clean the data, compare it with history and score what looks unusual.
- 3
Continuous monitoring
The cycle repeats around the clock, so changes are noticed within moments.
- 4
Structured display
Results appear as charts, alerts and short summaries in your dashboard.
What it analyses
- Price movement over short and long windows
- Trading volumes and sudden changes in them
- Volatility and whether it is rising or easing
- Trends and their strength
- Historical behaviour in similar situations
- Changes in overall market conditions
Advantages
Speed
Reads far more data in a second than a person could in a day.
Constant monitoring and time saved
Watches while you live your life, and updates automatically.
Friendly to beginners and experts
Plain summaries for newcomers, adjustable settings for the experienced.
Who it suits and how to use it
It suits people with limited time who want technology to help them follow shares and cryptoassets. To use it: register, activate your account, get to know the tools with your manager, then monitor the market through your dashboard.
An example scenario
Suppose trading volume in a coin you follow suddenly triples while its price barely moves. The system flags the change, compares it with similar episodes in its history and sends you an alert. If you had switched on a strategy for that coin, it could act under your rules. If volatility then climbs past your safeguard level, trading pauses and you are told.
This is an illustration of how the tool reacts, not a forecast of any outcome.
FAQ
How does the AI work?
It collects market data, processes it with statistical and machine-learning models, keeps watching and shows the results in a structured form on your dashboard.
Does it replace my own judgement?
No. It is a support tool. You choose what to switch on, how much to commit and when to stop.
Does it work all the time?
Yes, it monitors continuously. That does not mean it will always find something, or that what it finds will be right.
Does it cover shares and crypto?
Both. Share data follows exchange hours, while crypto data runs around the clock.
Can I use it with no experience?
You can, with help from your manager. Having no experience does not make it risk-free.
Can it make a mistake?
Yes. Models can misread unusual events, and past patterns can stop repeating.
What AI cannot do
It helps to be clear about the limits, because over-trusting a clever tool is a common reason for disappointment. The models learn from history, and history is not a promise. A pattern that appeared many times can fail to appear again. Unexpected events, such as an exchange outage, a surprise announcement or a regulatory change, are not in the data the model learned from, and it may misread them.
The AI also does not know you. It cannot tell whether a loss would be painful for your household, whether you need the money next month or whether you are anxious. Those judgements need a person, which is why we pair every account with a manager and why the final decision always sits with you.
Safeguards around the technology
Several controls limit what the system can do on its own. You set the maximum trade size and the pairs it may use. A volatility safeguard can stop trading when conditions become extreme, though it cannot prevent a loss that happens before it triggers. Every action is logged, and you can switch everything off with a single click.
Human oversight
Our engineers and data scientists review each model before it is released and monitor it afterwards. When a model stops behaving as expected, it is withdrawn and the change is recorded in your dashboard notes. Reports from the models are written to be readable by someone with no technical background.
Read how we describe our own limits on the Risk disclosure page.
Shares and crypto, side by side
The same engine reads both, with settings tuned to each market.
| Aspect | Shares | Cryptoassets |
|---|---|---|
| When data arrives | While the exchange is open | All day, every day |
| Typical swings | Smaller, with gaps overnight | Larger and faster |
| What the AI watches | Price, volume, sector peers, gaps | Price, volume, volatility, trend strength |
| Alerts | Mostly in market hours | Any hour you allow |
To see the products themselves, visit AI-powered stocks and Cryptocurrencies. Questions about how an alert was produced can go to your manager, who can show you the data behind it.
Questions to ask about any AI tool
Whatever platform you use, it is fair to ask what data the tool reads, how often it updates, what happens when it is wrong and who is watching it. We are happy to answer each of those for ours. Our models read price and volume data from connected exchanges, refresh continuously, can be wrong in unusual conditions and are reviewed by people before and after release.
Be cautious of any service that talks about guaranteed accuracy, secret formulas or returns that sound too good. Real analysis is probabilistic, which means it deals in likelihoods and not in certainties.
Plain-English reports
One of the least glamorous but most useful parts of the AI layer is the writing. Every month the system turns a pile of figures into a short statement: what the strategies did, what each action cost, which safeguards triggered and how your balance changed. A member of the support team has read each template and checked that it makes sense to someone with no finance background.
Keeping you in control
At any time you can pause the AI-driven strategies, change their limits, or turn off alerts. You can also ask your manager to show you the data behind any alert, so you can decide for yourself whether it matters. The aim is for you to understand what the tool is doing, not to take its output on trust.
How we test the models
Before a model reaches your dashboard it is run against years of stored market data it has not seen before, and its results are compared with simple baselines. If it does not beat those baselines by a clear margin it is not released. After release, we track how closely its behaviour matches the tests. Drift is investigated, and where necessary the model is retrained or withdrawn. Passing a test is not a promise of future performance, and we do not present it as one.
Data and privacy in the AI layer
The models work on market data, not on your personal details. Information about you, such as your name and contact details, is not used to train them. Your own trading activity is used only to run your account and to produce your reports, in line with the Privacy Policy, and you can ask us about any of it at any time by writing to the support desk.
Try the tools for yourself
Register for free and a manager will show you the dashboard. Trading involves risk.