AI Predictions + Voting
What it shows
A ranking of projects with algorithmic price predictions and community sentiment. It blends a computed price target, the probability of reaching it, and user votes (bullish vs bearish).
How to read it
The strongest picture forms when a high-probability target lines up with bullish community sentiment and a meaningful vote count. A divergence (high upside probability but a bearish crowd) is a caution flag. Practical takeaway: use predictions as scenario frames, not certainties, and always check how many votes back the sentiment.
Parameters
- Price target
- A price level computed algorithmically from volatility (1h/24h/7d/30d), momentum and volume.
- Neutral reading: It is a statistical scenario, not a promise. Treat it as one of several possible ranges.
- Probability
- The estimated chance of reaching a given target within the chosen horizon (7d/30d/90d).
- Positive reading: Above 50% (green): the model points to a high chance of the scenario.
- Negative reading: Below 15% (red): an unlikely scenario, an extreme range.
- Neutral reading: 15–50%: a moderate chance, an intermediate scenario.
- Community sentiment
- Share of bullish vs bearish votes (🚀/👎) over a rolling 90-day voting window.
- Positive reading: Bullish ≥ 50%: optimism dominates the community.
- Negative reading: Bullish < 50%: skepticism and bearish mood dominate.
- Neutral reading: Vote count shows how representative the read is: few votes mean a weak signal.
Example
BTC shows a +12% target at 55% probability (green) while the community is 68% bullish across 400 votes: a coherent, well-supported picture. Conversely, a +30% target at just 8% probability is an extreme, low-likelihood scenario.