Every day, thousands of websites publish cryptocurrency “price predictions.” Almost none of them ever go back to check whether those predictions came true. We decided to do the opposite. Since launch, our forecasting engine has logged every prediction it makes — and then automatically recorded what the price actually did 24 hours, 7 days, and 30 days later.
This is what 57,270 resolved forecasts reveal about how accurate crypto price predictions really are. The headline finding is uncomfortable for the whole “price prediction” industry: our models put the real price inside their forecast range about nine times out of ten — but called the direction barely better than a coin flip.
The headline numbers
We score each forecast two ways. In-range accuracy asks whether the actual price landed inside the bear-to-bull range we published. Directional accuracy asks the harder question every trader actually cares about: did the price go the way we said it would, up or down? Here is how all 57,270 resolved predictions break down:
| Horizon | Forecasts scored | Landed in range | Direction correct | Typical error (MAPE) |
|---|---|---|---|---|
| 24 hours | 29,213 | 93.7% | 51.7% | 2.6% |
| 7 days | 21,331 | 91.8% | 54.3% | 8.3% |
| 30 days | 6,726 | 98.9% | 51.5% | 14.1% |
Finding 1: The ranges work. The arrows don’t.
A 90%+ in-range hit rate sounds impressive, and in one sense it is — a well-calibrated range forecast should capture the real outcome most of the time. But it’s also the easy bar: a bear-to-bull cone is wide on purpose. The number that actually matters for anyone trying to make money is direction, and there our models — like everyone else’s — are close to random. At the 24-hour horizon, 51.7% directional accuracy is statistically a coin flip with a faint tailwind.
The lesson isn’t “predictions are useless.” It’s that they should be read as probability ranges, not as arrows pointing up or down. Any site confidently telling you a coin will hit a specific number on a specific date is selling certainty that the data simply does not support.
Finding 2: Accuracy decays fast with time
The further out you forecast, the worse the error gets — and not gently. The typical absolute error grows from 2.6% at 24 hours to 8.3% at 7 days to 14.1% at 30 days, a more than five-fold increase across a single month. This is the mathematical reality behind why “Bitcoin in 2030” headlines are entertainment, not analysis. Each step further into the future compounds the uncertainty of every step before it.
Finding 3: No systematic bias
One thing we checked carefully: whether the models lean permanently bullish (the default mode of most crypto commentary) or bearish. They don’t. Average bias came in at roughly +0.3% at 24 hours and −0.4% at 7 days — effectively zero. The forecasts are wrong in both directions about equally, which is what you want from an honest model and rarely what you get from a marketing one.
What this means if you read price predictions anywhere
- Trust ranges, distrust targets. A forecast that says “likely between X and Y” is doing honest work. A forecast that says “$X by Friday” is guessing.
- Discount everything beyond a month. Past ~30 days, the error band is wide enough to swallow most realistic scenarios.
- Ignore confident direction calls. If a 50/50 coin flip is the baseline and the best models barely beat it, a stranger on the internet calling the next move is noise.
- Ask if anyone is keeping score. The single best filter for prediction content is whether the publisher ever checks its own track record. Most never do.
How we ran the study
Every forecast on this site is generated by a blend of five independent statistical models (momentum, mean-reversion, trend-following, a power-law fit, and geometric Brownian motion), combined into a confidence-weighted consensus with explicit bear, base, and bull paths. At the moment of each prediction we store the coin, the live price, the volatility and sentiment inputs, and the full set of targets. A scheduled job then resolves each forecast against the real market price at the 24-hour, 7-day, and 30-day marks. The figures above reflect every resolved row in our database as of publication; nothing was hand-picked or excluded. In-range accuracy counts an outcome as a hit when the actual price falls between the bear and bull bounds; directional accuracy counts it as correct when the actual move matched the sign of the base-case move; MAPE is the mean absolute percentage error of the base case versus the actual price.
Cite this study
You’re welcome to reference these findings with attribution. Suggested citation: “The Daily Coins, analysis of 57,270 resolved cryptocurrency price forecasts (24h/7d/30d horizons), 2026.” We update the underlying numbers continuously as new forecasts resolve, so the figures here represent a living dataset rather than a one-off snapshot — the clearest answer we can give to a question almost no one in this industry bothers to ask: are crypto price predictions actually accurate?
