Hyperliquid Screener · Oversold Recovery

Oversold Screener for Hyperliquid Perps

The oversold screener finds Hyperliquid perpetuals trading deep in the bottom of their recent range with MACD slope starting to turn up. Candidates for a mean-reversion bounce — names that have been beaten down and are showing the first signs of stabilization.

By Keel Research Team · Updated May 12, 2026
How it works

Oversold Recovery methodology

The Oversold Recovery screen looks for two things together: an asset that is deeply oversold by its own recent range, and a momentum indicator (MACD slope) that has started to inflect upward. X-axis: mean-reversion percentile — the bottom 25% are the most deeply oversold relative to the cohort. Y-axis: MACD slope at the 50th+ percentile — the move toward less-negative or positive slope is what flags "starting to recover" rather than "still falling." Z-axis: relative volume at the 50th+ percentile, a participation filter so we’re not catching low-volume drift. The combination surfaces HL perps where the dump may be near exhausted and a bounce is plausible — not "buy and hold" signals, but short-horizon mean-reversion candidates. Crypto behaves differently from equities here: funding regimes and forced-liquidation cascades drive most oversold moves, and recoveries are typically faster and sharper.

Run the screen

Live Oversold Recovery cohort

The screen below is pre-loaded with the Oversold Recovery preset. Adjust signals, thresholds, and timeframe inline — your changes update the cohort in real time. Share or backtest the resulting state directly from the toolbar.

Automate it

Trade this screen systematically on Keel

Keel is a Strategy OS for AI-assisted systematic trading on Hyperliquid. Backtest a strategy that uses the Oversold Recovery signals as entry filters, optimize parameters across thousands of variants, then deploy live with funding-aware execution and full risk controls.

Free to start — connect a Hyperliquid wallet when you’re ready to go live.

What you can do
  • Backtest any strategy built from the Oversold Recovery signals with realistic fees, slippage, and funding modeled.
  • Optimize across parameter grids — Sharpe, drawdown, hit rate, funding regime.
  • Deploy live to Hyperliquid with stop-loss, position limits, and funding-aware execution.
  • Iterate with AI — describe a thesis, let the strategy compiler turn it into a tradeable pipeline.
FAQ

Oversold Recovery questions

What does "oversold" mean for crypto perpetuals?

Oversold is a relative term — an asset is well below its recent typical range. On Hyperliquid perpetuals it often follows a liquidation cascade, a funding-rate flush, or a broader risk-off move. Unlike equities, oversold conditions in crypto can persist or deepen quickly, which is why we combine with a momentum-improvement signal.

Why use MACD slope instead of just price?

Price alone can keep falling. MACD slope captures whether the rate of decline is decelerating — the precondition for a reversal. A deeply oversold asset with MACD slope still turning down is a falling knife; one with MACD slope turning up is a recovery candidate.

What’s the catch with oversold trades?

Mean-reversion in crypto often plays out in hours, not days. The screen surfaces candidates but does not tell you when to exit — a 5-10% bounce can vanish overnight if the broader regime stays risk-off. Position sizing and explicit exit rules matter more here than in trending setups.

How often does the screen refresh?

Market data refreshes hourly. The screen recomputes percentile rankings, thresholds, and qualifying cohorts on each refresh. Funding rates update on the same hourly cadence as Hyperliquid’s native funding settlement.

Should I factor funding rate into oversold trades?

Often yes — deeply oversold perps frequently have negative funding (shorts paying longs), which actually pays you to hold long. Add funding_pct as the Z-axis to see funding alongside the bounce signal, or use the Dip + Unfunded preset for a stricter low-funding filter.

Can I backtest a mean-reversion strategy on Keel?

Yes. Open the screen, click "Backtest in Keel," and the current state — signals, thresholds, universe, timeframe — passes into a Keel workspace. From there, you can run a full backtest with realistic fees, slippage, and funding modeled, then optimize and deploy live.