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Where will Bitcoin go?
Where will Bitcoin go next?
No system knows. What can be done honestly is narrower: state a direction for the next 24 hours, commit to a stop-loss that proves it wrong, set targets that prove it right, publish all of it in advance, and keep score. Drishti Pro's score on that narrower question is 57.9% over 240 resolved signals since 22 July 2026, at 1.36 average reward-to-risk.
Updated 2026-08-06 · 330 signals tracked
- 57.9%Win rate
- 1.36Avg R
- 11TP2 hits
- 330Signals
Price-prediction content usually fails in the same way: it names a number and a date, and by the time either can be checked the page has been quietly updated. The prediction is never scored because it was never falsifiable to begin with.
This page takes the opposite approach. It does not forecast where Bitcoin will be next month. It shows what the model currently thinks about the next 24 hours, and the complete history of how those short-horizon calls have turned out.
What the model actually commits to
A signal is a falsifiable statement. It says: from this entry, price will reach this target before it reaches this stop, within 24 hours. Three things make it checkable — the levels are fixed in advance, the clock is fixed in advance, and the outcome is decided by the market rather than by us.
That is a much smaller claim than "where will Bitcoin go". It is also the largest claim anyone can make and still be held to it.
The scoreboard
| How the signal ended | Signals | Share | Counted as |
|---|---|---|---|
| Reached TP1, closed at the TP1 floor | 128 | 40.1% | Counts as a win |
| Ran on to TP2 | 11 | 3.4% | Counts as a win |
| Stopped out before TP1 | 101 | 31.7% | Counts as a loss |
| Expired after 24h, neither target nor stop | 79 | 24.8% | Excluded |
| All resolved signals | 319 | 100% |
128 signals reached the first target and closed there, 11 ran on to the second, 101 were stopped out and 79 expired with neither level touched. Wins divided by wins plus losses gives 57.9%.
Direction is not the whole story
Being right about direction more often than not is only half of a result. The other half is how far the targets sit from the stops, because that determines what being right is worth. Drishti Pro averages 1.36 reward-to-risk, so targets sit further from entry than stops do.
| Direction | Resolved | Won | Lost | Win rate | 95% interval |
|---|---|---|---|---|---|
| Long | 132 | 75 | 57 | 56.8% | 48–65% |
| Short | 108 | 64 | 44 | 59.3% | 50–68% |
132 long signals resolved at 56.8% and 108 short at 59.3%. A system that only won on longs would be tracking a rising market rather than reading it.
What this cannot tell you
- Nothing about next month. Every signal has a 24-hour horizon. The record says nothing about Bitcoin's price in any longer timeframe.
- Nothing about your entry. Outcomes are scored on mark prices from the published entry. A different entry is a different trade with a different result.
- Nothing certain. 101 signals were stopped out. A 57.9% win rate means roughly two in five resolved signals did not work.
- Not much yet about the long run. The record starts 22 July 2026. The 95% interval on 57.9% currently runs 51.6% to 64.0%, and only a longer record narrows it.
Why price predictions keep failing
Almost every Bitcoin price prediction you can find shares three properties: no stated stop, no deadline that arrives soon enough to check, and no record of previous attempts. Each one is a way of avoiding being scored.
- No level that proves it wrong. A forecast of "$150,000 eventually" cannot fail. It can only be not-yet-right.
- A horizon long enough to be forgotten. Twelve-month calls are rarely revisited at month twelve, and the page is usually updated before anyone checks.
- No prior record. The forecaster's previous predictions are almost never listed beside the new one, which is the single most useful thing a reader could have.
A 24-hour signal with a stop-loss has the opposite properties by construction. It fails loudly, quickly, and in public — 101 times so far.
What would prove this system does not work
A claim worth taking seriously comes with the conditions that would refute it. For this record those are specific and checkable.
- The win rate settling below about 50% as the sample grows, while reward-to-risk stays near 1.36. The current 51.6% lower bound already allows for a good deal of that.
- Wins concentrated in one instrument. If the per-asset table showed one asset carrying the record and the rest at chance, the system would be a single-market artefact.
- Wins concentrated in one direction. A long-only edge during a rising market is not an edge. Longs are at 56.8% and shorts at 59.3%, which is the test passing so far.
- Expiries climbing. A rising share of signals reaching neither level would mean targets are drifting out of reach. 79 of 319 have expired to date.
Judge it the way you would judge anyone
Ask for the ledger, check that losers are still in it, check the definition of a win, and recount the rate yourself. The CSV is published under a CC BY 4.0 licence for exactly that. The verification page sets out the four tests in full.
FAQ
Can AI predict where Bitcoin will go?
Not in the sense of naming a future price. What an AI system can do is state a direction with a stop-loss and targets over a short horizon, publish it in advance, and be scored on it. Drishti Pro's score on that question is 57.9% over 240 resolved signals.
What time horizon do the signals cover?
Up to 24 hours. A signal that reaches neither its target nor its stop within that window expires and is excluded from the win rate.
How often is the model wrong?
101 of 240 resolved signals hit their stop-loss before their first target. That is the direct meaning of a 57.9% win rate.
See Drishti Pro's live signals Get the app
Educational & illustrative only — not investment advice. Drishti Pro publishes AI-generated trade ideas and their public track record for information. Crypto is volatile and you can lose money. Nothing here is a recommendation to buy or sell any asset. Do your own research.