Pyth Network(PYTH/USDT)
Strategy simulation for Pyth Network — Stochastic Overbought SHORT. Analyze the full OHLCV history we have collected for it (up to 2.9 years) with entry/exit signals, equity curve, and per-trade breakdown.
Market snapshot
$0.0791
Price
+2.08%
24h change
-0.74%
7d change
Market cap
$621.5M · rank #104
24h volume
$4.0M
Backtest data
2023-12-10 → 2026-10-05 · 24,726 hourly candles
7-day trend
At the snapshot time shown below, Pyth Network (PYTH/USDT) traded at $0.0791, ranking #104 among crypto assets with a market capitalization of $621.5M. Over the past 24 hours PYTH moved +2.08%, and -0.74% across the last 7 days, on $4.0M of 24-hour futures volume.
These figures are a market snapshot (exchange tickers plus CoinGecko market data), separate from the historical candles our backtests use, and are refreshed about every 60 minutes.
24-hour futures volume equals 0.65% of its market cap (volume ÷ market cap, same snapshot). The backtest dataset runs 2023-12-10 → 2026-10-05: 1,030 days, 24,726 1H candles — 100.0% of the theoretical hourly grid for that span.
Data as of 2026-10-05 22:02 UTC — build-time values: price and market figures from exchange tickers and CoinGecko; candle coverage from the backtest dataset.
Strategies to test on Pyth Network
No strategy currently meets our verification bar. Strategies below it stay listed with their latest verdict.
How our strategy actually did on PYTH/USDT alone
EXPERIMENTALStochastic Overbought SHORT · SL 8% / TP 8% · max 48 bars · 1h · 2025-11-15 → 2026-10-04 · 7,746 bars
- Trades
- 60
- Win rate
- 50.0%
- This-coin-only PF
- 0.84
- Sum of trade returns (not compounded)
- -26.8%
Exits: TP 8 · SL 15 · timeout 37 (62%) · timeout = closed at the 48-bar cap, usually a small win or loss — this is how win rate and summed return can point in different directions
This cell is PYTH/USDT by itself, hourly candles, fees and slippage included. Most coins lose here — that is the point of publishing it. · measured 2026-10-04
Our simulator presets are research results — none currently meets our unified verification bar (full 2-year backtest, out-of-sample hold-out, and a 3-window walk-forward). Each is measured on the top 10 coins by market cap. Coin-by-coin results vary: run any of them on Pyth Network yourself, same engine, real fees, and see the honest verdict.
FAQ
Which strategies can I test on Pyth Network?▾
Every simulator preset — including the published failures — can be run directly on PYTH/USDT. None currently meets our verification bar: a full 2-year backtest, out-of-sample testing, and a 3-window walk-forward on the live engine.
How reliable is the Pyth Network backtest?▾
PRUVIQ backtests use every 1-hour OHLCV bar we have collected for the pair (up to 2.9 years; source: Binance and OKX historical candles, with current updates from OKX USDT-SWAP; historical source boundaries vary by symbol and timestamp) — the left edge is where our collection starts, not where the pair first traded — with real fees and tiered slippage. A preset is marked verified only if it also passes out-of-sample and walk-forward gates. No look-ahead bias — only completed candles are used for signals.
Is it free to simulate Pyth Network?▾
Yes. PRUVIQ is 100% free. You can simulate the BB Squeeze strategy on any supported coin, adjust parameters, and view detailed equity curves and trade logs — no account required.
Coins with similar 24h volume
Similar liquidity means similar backtest fill assumptions — these are the closest comparables to PYTH/USDT.