Watch how our AI transforms natural language into institutional-grade algorithms that execute autonomously on Hyperliquid.
You
Track PDH/PDL. Long first close above PDH; within 8 bars touch midpoint, then close above → enter. SL 1.3×ATR(14). TP 2R/3R.
AI Assistant
⚡ Building multi-timeframe trading strategy...
01 class PDHBreakStrategy: 02 indicators = ["PDH", "PDL", "ATR"] 03 entry_logic = "close > PDH" 04 stop_loss = 1.5 * ATR(14) 05 take_profit = [2.0, 3.0] # R-multiples 06 07 # Backtesting 2023-2024... 08 win_rate: 68.2%, sharpe: 1.84
Performance
Derived Signals
Terminal 2.0 (Soon)Computed feeds built on top of raw data. Your agent could construct these — but we run them continuously so it doesn't have to.
Cross-exchange funding rate differentials updated continuously. Highlights pairs where one venue pays significantly more than another, with historical mean reversion context.
signals.fundingArbAggregated bid/ask depth across price levels showing where large resting orders cluster. Useful for identifying support/resistance zones and planning entry/exit.
signals.liquidityMapIs the current environment low-vol, trending, mean-reverting, or in crisis? Updated per-asset and portfolio-wide. Agents use this to select which strategy logic to activate.
signals.volatilityRegimeLive asset-to-asset correlations with configurable lookback. Includes regime-change detection — flags when correlations break from historical norms.
signals.correlationMatrixBid/ask spread percentile, spread volatility, time-at-best-bid/ask. Agents use this to decide execution timing and passive vs. aggressive order placement.
signals.microstructureReal-time spot-vs-perp basis with annualized rate. Useful for cash-and-carry strategies and as a sentiment indicator.
signals.basisLarge trade identification, aggregated exchange inflow/outflow, and wallet cluster activity. Size-filtered and directional.
signals.whaleFlowIntelligence
Terminal 2.0 (Soon)Proprietary computation, cross-platform aggregation, and ML infrastructure. This is where the edge is.
Market Intelligence
Implied probability vs. perp pricing across prediction markets and derivatives venues.
intel.crossVenueMispricingAggregated sentiment from Twitter/X, Telegram, Discord, Reddit, and news. Per-asset and per-narrative.
intel.sentimentScoreRanked profiles with ROI, drawdown, win rate, behavior tags, and drift detection.
intel.traderBehaviorAssets grouped by active theme with momentum scores per cluster.
intel.narrativeClusteringToken unlocks, governance votes, upgrades, regulatory deadlines. Impact-scored.
intel.eventCalendarAggregated probabilities across prediction markets with velocity of change.
intel.predictionConsensusExploit alerts, TVL drops, bridge anomalies, depeg warnings. Defensive data.
intel.onChainRiskPlatform Intelligence
Feeds unique to this platform. No external provider offers these.
How your strategy compares to anonymized peers, by type and regime.
intel.strategyBenchmarkAverage slippage, fill rates, and costs across platform order flow.
intel.executionBenchmarkPer-exchange latency, rate limit headroom, outage flags.
intel.venueHealthWhich marketplace modules are generating alpha and reducing drawdowns.
intel.skillPerformanceNet long/short ratio and concentration across agents on the platform.
intel.crowdPositioning