Hyperliquid Screener · Strongest Now

Hyperliquid Momentum Screener

The Hyperliquid momentum screener ranks perpetuals by rate-of-change, MACD slope, and relative volume across the top-100 HL universe. Names with all three above the 75th/75th/50th percentile are the strongest right now — momentum, acceleration, and volume all confirming the move.

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

Strongest Now methodology

The Strongest Now screen surfaces Hyperliquid perpetuals where three momentum signals agree at once. X-axis: 4-hour rate-of-change (ROC) — the % price move over the last four bars. Y-axis: MACD slope — the second derivative of the MACD line, capturing whether momentum is still accelerating. Z-axis: relative volume — current volume vs the asset’s 20-period average, used to gate out moves on thin tape. The default thresholds (75th, 75th, 50th percentile across the top-100 universe) require an asset to be in the top quartile on both ROC and MACD slope, with at least median relative volume. Pairs that clear all three are the present moment’s leaders. The screen runs on a 4h timeframe by default and recomputes hourly off Hyperliquid market data; you can shift to 1h or 1D and adjust thresholds live in the Constructor.

Run the screen

Live Strongest Now cohort

The screen below is pre-loaded with the Strongest Now 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 Strongest Now 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 Strongest Now 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

Strongest Now questions

What does "strongest momentum" mean in this screen?

Strong means three things agree: price is moving up fast (ROC), the move is still accelerating (MACD slope), and volume is supporting the move (relative volume). Any one of these alone can be noise; all three together filters most chop out.

Why combine ROC with MACD slope and relative volume?

ROC tells you the move size. MACD slope tells you whether momentum is still building or starting to fade — a high ROC with negative slope is often a late move. Relative volume tells you the move is real, not a low-liquidity wick. Each signal eliminates a different failure mode.

How are the percentile thresholds set?

Thresholds are cross-sectional within the chosen universe. 75th percentile on the top-100 universe means an asset is in the top 25 by that signal. Move the sliders to tighten (top 10) or loosen (top 50) — the cohort updates live.

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.

Does the screen account for funding-rate cost?

Not by default — momentum screens are signal-only. Many strong-momentum HL perps carry positive funding (longs paying shorts), which eats into a long-momentum strategy over hold periods. Add the funding_pct Z-axis to see funding cost alongside momentum, or use the Carry Trade preset to find low-funding momentum names.

Can I backtest a momentum 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.