H-BOT AI Bot Tested: How the Gann AI Decides and What Its Default Settings Did
How the AI Bot Decides
| Input | What it does |
|---|---|
| Direction | Rise if the last of 15 ticks is above the first, otherwise Fall |
| Angle score (40%) | How close the square root of the price sits to a 45° step |
| Range score (30%) | Whether the 15-tick range is wider than the net move |
| Momentum (30 pts) | 5-tick average agrees with the 20-tick average |
| AI text | A language model writes commentary; it does not choose the trade |
How to Deploy the AI Bot
- Open H-BOT Africa → AI Trading Bot (PRO plan), demo account first.
- Pick a market; read the score and direction.
- Check the settings: the defaults are now $1 stake, martingale off, $5 take-profit and $10 stop-loss.
- Set take-profit and stop-loss you can afford.
- Deploy, watch, and record the session in the Journal.
AI Bot win rate by market
1-minute Rise/Fall on every signal, real ticks. Break-even at a $1.95 payout is 51.3%.
Show data table
| Market | Win rate |
|---|---|
| Volatility 100 | 49.1% |
| Volatility 75 | 53.0% |
| Volatility 10 | 47.6% |
| Volatility 100 (1s) | 48.65% |
Results by Market
| Strategy | Trades | Win rate | Result ($1 stake) | Return per trade | Worst drawdown | Worst losing streak |
|---|---|---|---|---|---|---|
| Volatility 100: every signal | 666 | 49.1% | −$28.35 | -4.26% | $37.30 | 10 |
| Volatility 75: every signal | 666 | 53.0% | +$22.35 | +3.36% | $15.20 | 6 |
| Volatility 10: every signal | 666 | 47.6% | −$47.85 | -7.18% | $54.80 | 7 |
| Volatility 100 (1s): every signal | 333 | 48.65% | −$17.10 | -5.14% | $31.90 | 7 |
| Volatility 100: score 60+ only | 169 | 56.21% | +$16.25 | +9.62% | $9.35 | 6 |
| Volatility 75: score 60+ only | 182 | 50.55% | −$2.60 | -1.43% | $12.55 | 6 |
| Volatility 10: score 60+ only | 170 | 45.88% | −$17.90 | -10.53% | $21.15 | 7 |
| Volatility 100 (1s): score 60+ only | 93 | 47.31% | −$7.20 | -7.74% | $10.70 | 5 |
Small groups (a few hundred trades) swing several percent by chance; no filter was consistently better across markets.
500 Sessions With the Original Default Money Settings
| Money plan | Sessions | Ended at take-profit | Ended at stop-loss | Average result | Median trades |
|---|---|---|---|---|---|
| default martingale 2.1 | 500 | 42.2% | 57.8% | −$1.42 | 7.0 |
| fixed stake no martingale | 500 | 44.6% | 55.4% | +$6.80 | 11.5 |
With martingale 2.1× and a $10 stake, two losses in a row (−$10, −$21) already pass the $30 stop-loss. Reaching +$50 needs about six wins first.
Safer Settings
| Setting | Original default | New default (since {DATE}) |
|---|---|---|
| Stake | $10 | $1 |
| Martingale | 2.1× | Off (1×) |
| Take-profit | $50 | $5 |
| Stop-loss | $30 | $10 |
The H-BOT Tested Series
- Every H-BOT tool explained and tested
- Digit Sync and Scanner tested on 80,000 ticks
- Speed Bot: fixed stake vs martingale
- Bot Builder Rise/Fall rules tested
- Accumulator take-profit settings tested
- Signal Pro tested on 4 days of 1-minute candles
- Backtester and Journal: reading the numbers
- KE Chart and AI Chart: how to use them
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Frequently Asked Questions
How does the H-BOT AI Bot choose Rise or Fall?
Rise if the last of 15 ticks is above the first, otherwise Fall; it also shows an angle, range and momentum score.
Is the AI Bot profitable?
Not reliably: on real data it won 47.6–53.0% by market, around the 51.3% break-even.
Should I use martingale on the AI Bot?
We recommend keeping it off (the new default); with the original 2.1× default 57.8% of test sessions hit the stop-loss.
Does the AI decide the trade?
No. The language model writes commentary; the trade direction comes from the tick rule.
