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Next: work out an expectancy
Put an average win, an average loss and a hit rate into the expected value calculator to see what an idea source is worth per trade.
What is included
- What it is, in plain words
- The formula or mechanism, with exact arithmetic
- How it hits grid, martingale and DCA bots
- A check you can run before you switch a bot on
Who it is for
- People who run or plan to run a trading bot
- Anyone reading a backtest or a bot sales page
- Readers who want the numbers, not the pitch
- Not advice, and not a signal service
Key facts
- Tickeron was not run for this page and nothing here recommends it. We repeat none of the vendor's own claims. The page explains how to read a claim of this type, and the vendor's current terms cover anything specific.
- Crypto-assets can be financial products.
- As we understand it, Tickeron is a service that describes its trading tools as AI-driven, such as pattern recognition and automated ideas. What those tools do, and how well, is for the vendor to show and for you to test.
- A hit rate is not a result. At a made-up 60 percent hit rate, a payoff of win $50 against loss $30 earns $18.00 an idea, while win $30 against loss $50 loses $2.00 an idea (calculated by us on 3 Nov 2026, exact).
- A tally of 20 ideas with 12 hits leaves a rough range for the true hit rate of 39% to 81%, wide enough to include a coin flip.
- Nothing is quoted on price, plans, features, results or ratings, as none of it has been checked here.
What the AI label tells you, and what it does not
The words "AI" or "machine learning" name a method. They do not name a result. A tool called AI-driven can be built from plain rules, from simple statistics or from a trained model, and the label alone does not say which, nor whether any of it works. As we understand it, Tickeron describes its tools in these terms. We have not run them, so this page makes no claim about them either way.
A model trained on past prices can fit the past very closely and still fail on data it has not seen. That problem is called overfitting, and a better-sounding method makes it easier to hide, not harder. Three questions cut through most of the vocabulary. What was it trained on? How was it tested on data it never saw? Were the shown results produced before the event, or built afterwards from the past? Our AI trading software guide goes through these in more detail.
Ideas, alerts and automated trades are three different things
Tools that carry an AI label can produce very different kinds of output, and the risk you carry changes with each.
| Output | Who places the trade | What you carry | What to write down |
|---|---|---|---|
| An idea or a flagged pattern | You. | Your own entry, size, costs and delay. | The idea, the date and the price, before the event. |
| An alert | You, when it arrives. | Whatever the delay between the alert and your order does to the price. | The time the alert came and the price you got. |
| An automated trade | The tool, through a connection to your account. | The same risks as any bot: key permissions, size, the connection dropping. | Every order, every fee, and the date any setting changed. |
A signal is not an order. If a tool hands you ideas, you still make the trade, with your own costs, delays and size, and the result of the idea is not the result of your trade. If it trades for you, you are back to the questions on key permissions and on watching a bot that our crypto trading bot guide covers.
Worked example: why 12 wins out of 20 settles very little
Everything here is made up. Suppose you write down every idea from a tool before the event and, after a while, count 12 hits out of 20. That is a 60% hit rate. The question is how much that number can be trusted. A rough 95 percent range for the true hit rate, which treats each idea as independent, is the observed rate plus or minus 1.96 times the square root of (rate x (1 - rate) / ideas).
n = 20: 0.60 +/- 0.215, that is 38.5% to 81.5%
| Ideas written down | Hits (60%) | Rough range for the true hit rate | Includes a 50% coin flip? |
|---|---|---|---|
| 20 | 12 | 39% to 81% | Yes |
| 50 | 30 | 46% to 74% | Yes |
| 200 | 120 | 53% to 67% | No |
Calculated by us on 3 Nov 2026. It is a rough normal approximation, good enough to show the size of the effect and not a precise statistic. With 20 ideas the true rate could be anything from 39% to 81%, and a coin flip is inside that. Even at 200 ideas the range is still about 7 points either side, so it takes a count in the hundreds before a hit rate means much. A small sample of wins proves little, and the same is true of a small sample of losses.
A hit rate is not a result
Even a hit rate you can trust is only half the picture. What a win earns and what a loss costs decide whether the idea source makes money. The break-even hit rate is the average loss divided by the sum of the average win and the average loss. Using the same 60 percent for three made-up payoffs:
| Average win | Average loss | Hit rate needed to break even | Result per idea at 60% |
|---|---|---|---|
| $50 | $30 | 37.5% | $18.00 |
| $30 | $30 | 50.0% | $6.00 |
| $30 | $50 | 62.5% | -$2.00 |
The third row is the trap. Sixty percent of ideas working sounds good, and with wins smaller than losses it is a loss-maker. This is expectancy, and the expectancy page shows how to work it out from your own records. A vendor's headline hit rate, if one is shown, says nothing about this half.
A notebook method for any source of ideas
- Write each idea down before the event, with the date, the price and the exit you would use.
- Record the order you actually placed, the price you got and every cost.
- Count misses as carefully as hits, and keep the ideas you chose to skip so you can see whether you were selective.
- Do not judge until you have a count big enough for the range in the table above to be narrow.
- Compare the result with a plain baseline on the same dates, so the tool is measured against something.
Questions to put to any AI claim
- What does the label stand for here? Rules, statistics or a trained model, and who says so.
- How was the track record made? Recorded live as it happened, or generated afterwards from past data, and whether costs are included.
- Does the model change over time? And are results kept for versions that no longer run?
- What is the sample? How many ideas, over how long, in what market conditions.
What stays unproven here
The page makes no claim that Tickeron works or fails, and it weighs no other product against it. The tally and the payoffs are invented. Crypto-assets and leveraged products can lose all the money put into them, and past or simulated results are not a guide to future results.
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FAQ
Frequently Asked Questions
What is Tickeron?
As we understand it, a service that describes its trading tools as AI-driven, such as pattern recognition and automated ideas. We have not run it and we repeat none of its claims, so check the vendor's current pages for what it offers.
Does an AI label mean a tool works?
No. It names a method, not a result. A tool can be rules, statistics or a trained model, and a model that fits the past closely can still fail on new data.
Why do ideas, alerts and automated trades carry different risk?
With an idea or alert you place the trade, so your costs, delay and size decide the result. With an automated trade the tool places it, and you carry the usual bot risks such as key permissions and the connection dropping.
Why does a short run of wins prove so little?
Because chance alone produces runs. In the invented tally here, 12 hits in 20 leaves a rough range of 39% to 81% for the true hit rate, which includes a coin flip.
If a tool wins most of the time, does it make money?
Not necessarily. If the average loss is bigger than the average win, even a 60 percent hit rate can lose money. The payoff matters as much as the hit rate.
Are the numbers on this page real?
Example numbers are made up to show how the maths works, and the page says so. A figure only counts as exact when the page says it was calculated on a stated date. Nothing you enter in a calculator leaves your browser.
Can I use this to decide whether to run a bot?
It can show whether a bot's numbers hold together and how much an account can lose. It cannot say what the market will do, and it is not advice. Use it to ask better questions, then read the terms of your own broker or exchange.
Is this financial advice?
No. It is education about reading claims, with an invented tally. We have not run Tickeron and make no judgement of it.
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