Pick a basket of assets, choose equal-weight or inverse-volatility, optionally add a short basket for a long/short index, and click Trade. Your index opens in Keel as a real systematic strategy, ready to backtest, edit, and deploy on Hyperliquid.
Curated baskets from our research. Customize anything after loading.
Assets to be long. Optionally add a short side for a long/short index.
How positions are weighted and when the pipeline runs.
The pipeline recomputes target weights once per bar at this cadence.
0.25x to 3x.
5% to 100% of the book.
Further tuning (execution buffers, rebalance behavior, volatility windows) can be edited inside the Keel strategy editor after you click Trade.
Opens the Keel strategy editor with this index pre-built. Sign in on first visit; your config is preserved through the sign-in flow.
Every basket generates the same Keel pipeline: load price data, resample to your chosen timeframe, compute a baseline forecast for each asset, apply the weight allocator, then normalize to your target gross leverage. The strategy is a real systematic Keel pipeline: backtest, paper-trade, or deploy live, all from the same artifact.
Equal weight gives every asset 1/N of the target leverage, capped by the max-weight constraint. Simple, transparent, and the right default when you don’t have a strong volatility view. Inverse-vol (risk parity) sizes each asset inversely to its realized volatility: lower-vol names get more capital, higher-vol names get less. Use this when one asset (often the largest cap) dominates the basket’s return profile and you want a smoother ride.
Long/short mode wraps the pipeline in a parallel two-leg structure: long basket builds a positive forecast, short basket builds a negative one, and the legs combine into a single dollar-balanced position. The short side uses Hyperliquid perpetual futures, which long-only crypto-index ETFs cannot offer.
Timeframe is the cadence the pipeline runs at: once per bar at the chosen interval (12h or 1d). Each run recomputes target weights from the latest data. The generated strategy uses buffered execution by default to keep turnover low; you can change the buffer width, execution mode, and other execution parameters inside the Keel strategy editor after deploy.
Keel is a strategy builder for Hyperliquid. Describe an idea, backtest it with fees, slippage and funding, and run it live on Hyperliquid’s crypto perps. Start free, and connect a wallet when you’re ready to trade.
A crypto index is a basket of cryptocurrencies traded as a single position. You define which assets are in the basket and how they are weighted; the index gives you diversified exposure to a sector or narrative instead of betting on one token. Keel implements indexes as systematic strategies on Hyperliquid: they rebalance automatically and run as live trading positions, not as ETF wrappers.
Equal weight allocates 1/N to each asset. Inverse-volatility weight gives more capital to lower-volatility assets so each contributes roughly equal risk, which helps when one asset (like HYPE) is much more volatile than the others. Custom weights are coming soon; for now the builder supports these two standard schemes.
Yes. Toggle "Add short side" and supply a separate basket of assets to short via Hyperliquid perpetual futures. The generated strategy combines both legs into a single dollar-balanced position with vol-targeted sizing. Long-only crypto-index ETFs cannot do this.
Your basket (assets, weighting, timeframe, leverage caps) opens directly in Keel as a real systematic strategy. You land in the strategy editor with everything pre-built, ready to backtest, modify, or deploy on Hyperliquid.
No. The builder opens your basket in the Keel strategy editor, and the backtest runs there, with Sharpe, return and max drawdown. The strategy ships with vol-targeted sizing and buffered execution to keep turnover low; everything is editable in the Keel editor.
Pre-built index of decentralized GPU + inference tokens (VVV, RENDER, IO, TAO), with its live 90-day return, drawdown and Sharpe.
Cross-sectional screener for HL perps. Filter by momentum, funding, volume, breakout, and regime metrics across 200+ pairs.
Live ranking of HL perps by current funding rate, annualized, with 7d persistence. Pairs well with a long-funding-short-no-funding index.