AI-generated price forecast for PYTH-USD across 1-hour, 4-hour, daily and weekly horizons — updated continuously, with a public accuracy track record.
As of August 2026: K3vl4r's AI model currently reads PYTH-USD as 2/3 bullish across its horizons (2 of 3 timeframes pointing up), with a last price of 0.03863. See our public, auditable track record →
Last price
0.03863
AI outlook
2/3 bullish
Timeframes up
2 / 3
| Horizon | Direction | Projected move (end of horizon) | Bullish prob. |
|---|---|---|---|
| 1-hour~5 days out | ▲ Up | +0.18% | — |
| 4-hour~3 weeks out | ▼ Down | -0.33% | — |
| Daily~2 months out | ▲ Up | +46.22% | 100% |
| Weekly | — | — | — |
From the market-news feed the forecasts are read against.
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K3vl4r's AI model currently reads PYTH-USD as 2/3 bullish — 2 of 3 forecast horizons point up, so the overall read is leaning to the upside. This is a model-generated forecast for information only — not investment advice, and forecasts may be inaccurate.
K3vl4r's model projects PYTH-USD toward $0.0385 over the next ~5 days, a +0.0% move from $0.0385. Projections update continuously as new data arrives and are inherently uncertain. This is a model-generated forecast for information only — not investment advice, and forecasts may be inaccurate.
Over its longest horizon (~~2 months), the model's projected target for PYTH-USD is $0.0382 (+0.5% vs $0.0380). Confidence decreases the further out the horizon, so treat longer-range targets as one scenario, not a guarantee. This is a model-generated forecast for information only — not investment advice, and forecasts may be inaccurate.
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Or see the full PYTH price prediction (2027–2040), or the forecast for today, tomorrow and this week.
Curious how this is generated? Read how K3vl4r forecasts — the model, the confidence bands, and what we deliberately do not claim.
K3vl4r publishes a public, auditable track record of its Daily Top Picks — see the live results.
Forecasts are model-generated estimates for informational purposes only and are not financial advice. Markets are risky; past accuracy does not guarantee future results. See our Risk Disclosure.