Speed
A model can read thousands of data points in the time it takes you to open a chart. That speed is useful for spotting small, short-lived changes that disappear before a person has finished reading the screen.
Artificial intelligence that reads the markets as they move
The Aureo Flowdex engine analyses financial markets in real time, so you get a clear view of what is changing without watching every tick. It supports your decisions, it does not replace them, and like any model it can be wrong.
See how it worksWhat is the platform's AI?
The AI is the analytical core of the platform. Its job is to take in far more market information than a person can follow, look for patterns in it and report what it finds in a form you can act on.
It is a tool that supports you, not a replacement for you. You choose the markets, the amount at risk and the rules. The engine works inside those boundaries and shows its working in your reports, so you are always the one in charge.
How the technology works
Four stages, repeated all day.
- 1
Data collection
Prices, volumes and other market data stream in from exchanges and data providers.
- 2
Intelligent processing
Models clean the data, compare it with history and score the patterns they find.
- 3
Continuous monitoring
The system keeps watching for changes against your thresholds without pausing for breath.
- 4
Structured presentation
Findings appear in your dashboard as short notes, charts and reports you can read at a glance.
What the AI looks at
| Input | What it tells the engine | How it appears to you |
|---|---|---|
| Price movement | Direction and speed of recent changes | Trend notes and chart markers |
| Trading volumes | Whether a move is backed by real activity | Strength indicators |
| Volatility | How far prices are swinging from normal | Calm, active and extreme labels |
| Trends | Whether a pattern is building, holding or fading | Trend summaries by asset |
| Historical dynamics | How similar situations played out before | Back-test comparisons in the simulator |
| Changing conditions | Shifts in liquidity and market behaviour | Alerts and automatic pause suggestions |
What the AI does not do
It helps to be as clear about the limits of the technology as about its strengths. The engine:
- does not predict the future, and cannot know about news that has not happened yet;
- does not guarantee a profit or a loss limit, because prices can jump past a level before it reacts;
- does not give you personal investment advice or tell you what you should buy;
- does not replace your judgement about how much risk is right for you;
- does not run anything you have not switched on.
A model learns from the past. When markets behave in a way they never have before, any model, however sophisticated, can misjudge it. That is the main reason we ask you to set loss limits and review your reports regularly.
How the engine is kept in check
The models are not left to run unobserved. This is the routine our team follows.
Tested on history first
Before a model or a rule goes live it is tested against past market data, including calm and turbulent periods, to see how it behaves when conditions change.
Watched against expectations
Once running, its live behaviour is compared with what testing suggested. If the two drift apart, the difference is investigated.
Reviewed by people
Analysts review model changes and unusual results, and compliance staff check that the way the tool is described matches what it does.
Retired when it stops fitting
Strategies that no longer suit the market are withdrawn or reworked instead of being left to run.
This describes our internal process. It is not an independent audit, and it does not make any outcome certain.
Advantages of AI analysis
Constant monitoring
It does not tire, so a move at 3 a.m. gets the same attention as one at noon. You decide which events are worth a notification, so a quiet night stays quiet.
Time saved
Hours of chart reading become a short daily summary.
Fresh information
Notes update as conditions change rather than once a day.
Useful at every level
Beginners get explanations, and experienced users get detail they can check. The same engine can show a one-line note or the full working behind it.
Who it suits
The engine is a good fit for people with limited time who want to follow shares and cryptoassets without spending evenings at a screen. It is equally useful to those who trade already and want a second set of eyes, because it highlights what has changed and leaves the call to you.
It is not a fit for anyone who expects certainty. If you need a guaranteed result, no trading product can provide it.
Using the AI in four steps
Register
Open a free account in two minutes.
Activate
Verify your identity and, if you wish, make a first deposit.
Explore the tools
Try the simulator, the alerts and the reports with your manager.
Monitor the market
Follow the notes, adjust the limits and pause whenever you like.
An example of the AI in use
A simplified story, with invented numbers, to show how the pieces connect.
- 10:02Volatility on a tracked asset rises well above its usual range.
- 10:03The engine marks conditions as "extreme" and trading volume is spiking.
- 10:03Your market-pause threshold is reached, so no new orders are placed.
- 10:04You receive an alert and the reason appears in your report.
The point of the example is the order of events. The engine did not guess what would happen next. It saw that conditions had passed a level you had chosen in advance, and it followed your rule. What you do afterwards, whether that is resuming, reducing the amount or leaving things paused, is up to you.
The pause stops new orders but cannot undo price moves that have already happened, or protect against a price that jumps before the system reacts.
The vocabulary, in plain English
You will see these words in the dashboard. None of them is as complicated as it sounds.
| Word | What it means here |
|---|---|
| Model | A set of mathematical rules that turns market data into a score or a note. Ours are built to estimate how likely a short-term pattern is to continue. |
| Back-test | Running a rule on past data to see how it would have behaved. It is useful, but it is not proof of what will happen next. |
| Signal | A reading that a pattern has appeared. A signal is information, not an instruction, and it can be wrong. |
| Threshold | A level you set, such as a daily loss limit or a volatility level, at which the platform takes a stated action. |
| Volatility | How much and how quickly a price is moving compared with normal. |
| Drawdown | The fall from a peak in your account value to its lowest point afterwards, a useful measure of how bumpy a strategy has been. |
Questions about the AI
How does the AI work?
It collects market data, processes it with statistical and machine-learning models, monitors changes continuously and presents the findings in a structured way. It compares what is happening with what happened in comparable conditions before.
Does the AI trade for me automatically?
Only if you switch a strategy on. When a strategy is active, the platform can place and close orders within your limits. You can pause it at any moment, and you always see why each order was made.
Does it work when I am asleep?
Yes. Monitoring is continuous, and cryptoasset markets are open all day and night. Shares are followed during exchange opening hours, including the London session.
Can it analyse both shares and cryptoassets?
Yes. The same engine reads both, using settings suited to each market. You choose which ones to follow.
Can I use it without any experience?
You can. The summaries are written in plain language, the simulator lets you practise and your personal manager explains the settings. Using it without experience is not the same as using it without risk.
Can the AI be wrong?
Yes. Markets are affected by events that no model has seen, and a pattern that worked before can stop working. That is why loss limits, pause controls and regular review matter.
See the engine at work
Register for a free account and look at the simulator before deciding anything. Capital is at risk if you trade.