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GentelBot

This is where we explain openly how GentelBot works — what the technology can do, and what it cannot.

AI in trading attracts a lot of bold claims and even more questions. How is a forecast actually produced? Which data goes into it? Who decides whether an order is placed — and what happens when the market does the opposite of what was expected? These are the questions we hear every day.

This hub is where we answer them. You will find a straightforward description of the technology, an explanation of the multi-dimensional forecast space, notes on risks and limitations and a growing library of questions and answers — updated with whatever readers send us.

Can't find your question? Use the form to reach our team directly. We reply personally, in plain language and without any sales pressure.

Illustrative example · signal curve
£4,812.30
▲ 2.4%
Reading the numbers correctly

Historical ranges — for context, not as an expectation.

Monthly range
8% – 15%
in calm, trending phases
Annual range
80% – 150%
from previous cycles

These figures describe the past under favourable conditions. They say nothing binding about future results, and losses are possible at any time.

Ask the GentelBot team

Leave your details and a member of the team will call you back, answer your questions and, if you wish, explain how access to the platform works.

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First name
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Phone number for the call-back

We only use your details to answer your enquiry and tell you about the platform. More in our Privacy.

AI robot with a white and orange helmet against a futuristic city backdrop
GENTELBOT · KNOWLEDGEInfo
System design

The building blocks of GentelBot

To understand how the system works, it helps to look at its four building blocks — each one has a clearly defined job.

White humanoid AI robot against a city backdrop
BLOCK 1

Decision logic

Weighs assessments, compares options and decides whether an order makes sense.

Futuristic tower by the water with connecting bridges
BLOCK 2

Data connections

Links the system to more than 1,000 sources from exchanges, central banks, media and blockchains.

High-tech structure rising above the clouds
BLOCK 3

Forecast space

Maps hundreds of factors together and compares today's situation with earlier ones.

White futuristic architecture at sunset
BLOCK 4

Order execution

Executes approved signals — with position size and protection set in advance.

Explainer video

GentelBot explained in 90 seconds

A clear visual introduction: how data from more than 1,000 sources is analysed, combined in a multi-dimensional forecast space and only acted on when the probability is high. A good starting point before reading the Q&A.

Data sourcesForecast spaceRisk limits
How decisions are recorded

Traceability: what goes into the log for every order

One question comes up again and again: can I see why the system acted? Yes. For every position the log records which data sources were used, the probability attached to the forecast, the protection that was set in advance and the reason the position was opened, adjusted or closed. Every decision can be reviewed after the fact.

<0.5 s
to update a forecast
99.9%
target availability
100%
events logged
Digital brain made of glowing pathways, surrounded by data displays and robotic hands — an illustration of the AI technology
The technology explained

From 1,000 data sources to a single assessment

What actually happens between a headline appearing and an order being placed? We walk through the path the data takes, step by step.

It starts with data — a great deal of it. GentelBot continuously processes information from more than 1,000 sources: prices and order books from exchanges such as the London Stock Exchange and the NYSE, exchange rates, commodity and crypto prices, company announcements, decisions by the Bank of England, the ECB and the Fed, economic indicators, and news and sentiment on social media. Before any of it is used, it is checked, given a precise timestamp and put on a common scale so the values can be compared at all.

The prepared signals are then combined in what we call a multi-dimensional forecast space. Picture a map with hundreds of axes, each one standing for a factor such as interest rates, momentum or the tone of the news. The system searches this map for situations that resemble earlier market conditions and estimates how likely certain price moves are. Only assessments with a high probability and an acceptable level of risk are even considered for an order.

1,000+
data sources
600+
factors in the model
24/7
continuous analysis
< 0.5 s
to a new assessment
Which data is analysed
  • Prices of shares, indices and ETFs
  • Order books and trading volumes
  • Exchange rates and interest-rate data
  • Commodity prices such as gold and oil
  • Cryptocurrencies and blockchain data
  • Company reports and regulatory filings
  • Central banks and economic data
  • News and public sentiment

  1. Collect

    Data from more than 1,000 sources arrives continuously.

  2. Check

    Faulty values are discarded and the rest is precisely time-aligned.

  3. Combine

    All factors are mapped into one shared forecast space.

  4. Assess

    The probability of possible moves is calculated for every asset.

  5. Act

    Only well-rated signals are executed — within fixed limits.

Worth remembering: a forecast is a probability, not a promise. Even a well-founded assessment can turn out to be wrong.

Example amount
£19,900
£300£100,000
Example period
101 days
1 day360 days
Calculated end value
£24,523
+23.2% over 101 days
Calculated change
for illustration only
+£4,623
This calculator simply shows how an assumed return would work out mathematically. It does not reflect real performance; in reality the outcome may be considerably lower or negative.

Key terms in brief

Three questions we are asked particularly often.

AI agent or bot?

What sets GentelBot apart from a simple trading program?

A simple program follows fixed rules such as “buy when the price rises above X”. GentelBot assesses many markets at once, compares several possible actions and adjusts its view as soon as new information arrives.

Multi-asset

Why look at several asset classes?

Shares, currencies, commodities and crypto assets influence one another. Looking at them together reveals connections that stay hidden when each is viewed in isolation — and lets risk be spread more widely.

Human support

Are there real people behind it?

Yes. GentelBot is backed by a team that answers questions, helps with set-up and explains how the settings and risk limits work — on weekdays during UK business hours.

Which markets are covered

Examples of assets included in the analysis — from leading UK shares to international markets.

Background: why the AI sector is so rich in data

Companies working on artificial intelligence — from the US tech giants to UK names such as Arm — are constantly in the spotlight of news outlets, analysts and investors. That creates an especially dense stream of data, which is exactly where machine analysis comes into its own.

Market value of the global AI sector, 12 months
$4.8tn
+$690bn change
Large AI companies $3.4tn +31.0%
Growth companies $1.8tn +27.6%
Semiconductors & infrastructure $1.0tn +42.3%

The rule of thumb: the more reliable data there is, the better an assessment can be justified.

Factors that carry particular weight

  • Revised revenue and earnings expectations from analysts — often an early signal of a change in direction.
  • Bank of England and Fed policy and the pound-dollar rate, which shape capital flows between asset classes.
  • The news flow and public mood, which can amplify short-term swings.
Sources
1,000+
Factors
600+
Analysis
24/7
AI sector overall
$4.8tn
+$690bn in 12 months
A segment with unusually high momentum.
Growth companies
$1.7tn
+$260bn in 12 months
Strong demand across many industries.
Infrastructure & chips
$1.1tn
+$145bn in 12 months
Large swings, plenty of data points.

A worked example

A simplified twelve-month simulation — it shows the logic, not a guaranteed outcome.

S
Sarah, 51, Bristol
Fictional person · simulation
Period: 12 months
Starting amount
£17,200
Assumption for the simulation.
→
Simulated end balance
£25,800
Calculated value after 12 months.
Change in the simulation
+50%
Worked example, not a real account history
Allocation
Spread across several markets

Capital was divided between UK and US shares, commodities and crypto assets and rebalanced whenever the assessments changed.

Selection
A strict threshold for signals

Only assessments above a fixed probability threshold were considered, each with protection defined in advance.

The lesson
Rules beat gut feeling

Limits that are applied consistently matter at least as much as the quality of the forecast itself.

This example is entirely fictional and is for explanation only. It is neither a promise of returns nor an investment recommendation.

First steps: how it works

The process from first contact to using the platform — explained openly.

Process
1

Get in touch

Leave your details or ask a question using the form.

2

Have a conversation

A team member explains the platform and answers anything that's unclear.

3

Agree the framework

Together you discuss amount, asset classes and risk limits.

4

Follow the results

All assessments and orders can be viewed and traced at any time.

Checks
What is checked before every order
Pattern

Is there a constellation in the forecast space that has often come before a price move in the past?

Probability

How likely is the move — and is the potential in a sensible proportion to the risk?

Limit

Are the position size and protection fixed before the order is sent?

Only when all three checks are passed does the system act.

Numbers, explained

Historical figures — and what they mean.

Best month
+15%
Comparison market in the same month: +6.2%
Difference: +8.8 pts
Positive months
8 / 12
out of twelve months reviewed
Sideways phases
2 / 12
months with little market movement
Annual range
80 – 150%
historical, not guaranteed
Learning
How the model learns from experience
1
Step 1
Read new market data
2
Step 2
Recalculate the assessments
3
Step 3
Evaluate results and adjust
Completed trades feed back into the model so that future assessments become more precise.
Two things we tell everyone

Our most important advice in brief.

  • Many sources guard against false signals: a single headline or a single price can mislead, while the interplay of hundreds of factors is far more robust.
  • No technology replaces a risk limit. Decide how much you are prepared to risk at most, and only invest money you can afford to do without.
An honest assessment

Who GentelBot suits — and who it doesn't

Not every tool suits every investor. This overview helps you make up your own mind.

✓More likely to suit you if you:
  • ✓ have little time to follow the markets yourself
  • ✓ want to spread your capital across several asset classes
  • ✓ prefer decisions based on data
  • ✓ value clear limits agreed in advance
✕Less likely to suit you if you:
  • ✕ want to trigger every order yourself
  • ✕ fundamentally distrust automated systems
  • ✕ are looking for short-term, high-risk bets
  • ✕ expect safe or fast profits
If in doubt: ask us — or seek independent advice.
Principles

Our principles

The standards we hold ourselves to, in technology and in communication.

Control stays with you

The system only works within the limits that you set.

Facts, not promises

We explain how assessments are made — and are upfront about their limits.

Risk first

Protection for every position is defined before it is opened.

Open communication

Questions are answered honestly, even when the answer is inconvenient.

Privacy, security, availability

What you can expect from us.

01 · Privacy

UK GDPR compliant

Your details are encrypted in transit and used only to answer your enquiry. Read the privacy policy.

02 · Records

Fully documented

Assessments and orders remain available to view at all times.

03 · Settings

Changeable at any time

Amount, markets and risk limits can all be adjusted.

04 · Availability

Mon–Fri, 9am–6pm

Our team answers questions by phone and email during UK business hours.

Questions & answers

The questions we receive most often — answered in full.

What exactly is GentelBot?+

GentelBot is an AI-assisted system that analyses market data from more than 1,000 sources, derives probabilities for price movements and — if you set it up that way — automatically executes orders within defined risk limits. This hub exists to explain the technology clearly and to answer questions about it.

How is GentelBot different from conventional trading bots?+

Conventional bots follow rigid if-then rules. GentelBot looks at many factors and markets at the same time, compares several options and continually adjusts its assessments as new data comes in.

What does “multi-dimensional forecast space” mean?+

Every factor analysed — interest rates, momentum or the news backdrop, for example — forms one dimension. Together they create a space with hundreds of dimensions in which the system compares the current situation with earlier ones. This reveals connections that a single chart cannot show.

Which data sources are used?+

Among others: exchange prices and order books, exchange rates, commodity and crypto prices, company reports, central-bank decisions, economic data, and news and public sentiment — more than 1,000 sources in total.

Which asset classes can be traded?+

Depending on your settings: shares and indices, currency pairs, commodities such as gold or oil and the major cryptocurrencies. You decide which of these are used.

How reliable are the forecasts?+

Each assessment receives a probability rating, and only signals above a high threshold are taken into account. Even so, every forecast remains a probability — mistakes do happen.

Can I lose money with GentelBot?+

Yes. Trading on financial markets always involves risk, up to and including the loss of all the capital invested. Risk limits can reduce losses but cannot rule them out.

Are the figures shown guaranteed?+

No. All figures on this site are historical or simulated and are for illustration only. They do not allow any conclusions to be drawn about future results.

Do I need any prior knowledge?+

No, although a basic understanding of the opportunities and risks of financial markets is sensible. Our team explains the settings in detail before you start.

Do I stay in control?+

Yes. You decide the amount, the asset classes and the risk limits, and you can change them at any time. Every action is logged and can be reviewed.

What happens after I submit the form?+

A team member will contact you by phone or email, answer your questions and — only if you want — explain access to the platform. There is no obligation of any kind.

Is GentelBot regulated by the FCA?+

No. GentelBot is a technology and information service and is not authorised or regulated by the Financial Conduct Authority. Any trading takes place through a partner provider with its own terms and regulatory details. You can check whether a firm is authorised on the FCA Financial Services Register.

How is my data protected?+

It is transmitted in encrypted form and processed in line with UK GDPR. Your details are only used to answer your enquiry and get in touch with you. Full details are in our privacy policy.

How can I reach the team?+

The easiest way is the contact form on this page. You can also send general enquiries to [email protected] and privacy questions to [email protected].

Didn't find your question?

Write to us. Whether it's about the technology, the risks or the process, a member of our team will get back to you personally and take the time to answer your questions properly.

  • A personal reply, not a template
  • Explanations in plain English
  • Straight talk about risks and limits
  • Free and without obligation

Once you've sent your message, we usually reply within one working day.

Still have questions?

Write to us — we'll reply personally and take you through everything step by step.

Personal call-backClear answers
First name
Last name
Email
Phone number for the call-back

We only use your details to answer your enquiry and tell you about the platform. More in our Privacy.