Hyperliquid Alpha Dashboard

The market before the market sees it

Real-time liquidation, order flow, block, and stress signals extracted directly from Hyperliquid event streams.

Fill streams Block activity Orderbook deltas Sub-second delivery
Liquidations 5m $1.2M
Buy Pressure 62.4%
Block Time 0.48s
Market Stress 42/100
Liquidation Radar

Track cascading liquidations across assets in real-time. Severity-encoded feed with heatmap concentration view and cascade detection alerts.

5m Volume Largest Event Cascade Risk
Order Flow Pressure

Directional pressure visualization with buy/sell split bar, net delta tracking, and orderbook imbalance metrics.

Buy/Sell Split Net Delta Spread
Block Activity Monitor

Network tempo intelligence — block cadence, transaction burst scoring, and congestion correlation with market events.

Block Height Tx Count Burst Score
Market Stress Gauge

Synthesized regime signal with contributing factor breakdown. Know why stress is high, not just that it is.

Score Regime Factors
Signal Timeline

Chronological correlation rail. Cross-highlights source panels on click.

Events Severity
Order Book Depth

Full L2 bid/ask ladder with per-level size, cumulative depth, and live spread. Visual depth bars scale with order concentration.

Bid Levels Ask Levels Spread (bps) Cumulative Depth

Integration

Deploy these signals into production faster

Connect your trading system to Aleatoric's Hyperliquid signal infrastructure through production-ready Python and TypeScript SDKs.

Python SDK

Built for trading systems, research services, and execution agents. Async stream consumer support with normalized event models.

View Python SDK API →
TypeScript SDK

Built for browser dashboards, Node services, and event relays. Typed event models and streaming clients.

View TypeScript SDK API →
Transport Options

gRPC for lowest-latency streaming. WebSocket for dashboard and event apps. REST for snapshots and backfill workflows.

Compare transport modes →
from hypercore_sdk import HyperCoreAPI, SDKConfig

cfg = SDKConfig(api_key=os.environ["ALEATORIC_API_KEY"])

with HyperCoreAPI(cfg) as api:
    snapshot = api.market_snapshot("BTC")
    print(snapshot["top_of_book"])
    print(snapshot["orderbook_imbalance"])

Access Layers

Raw transport + pre-decoded intelligence

Layer 1 — Raw Transport

Direct low-level integration for advanced infra teams.

  • JSON-RPC
  • WebSocket
  • gRPC
  • Hyperliquid /info
Layer 2 — Pre-Decoded Intelligence

Faster deployment, less parsing work.

  • Unified event stream
  • Liquidation / orderflow / block / stress feeds
  • Derived market snapshot helpers
  • Normalized schemas
Typed Python package mypy-clean Tested CLI paths Validated adapters 99.5% uptime SLA Multi-region (US + JP)

Get production access

Provision API credentials and start streaming Hyperliquid intelligence in minutes.