The HyperBasis Terminal has 15 functional pages. This guide explains each one, what it shows, and how the underlying data is produced.
The core leaderboard scanning the RWA universe for statistical arbitrage. Every row is classified server-side with asset-tier, data-tier, liquidity-tier, borrow-tier, warnings, a confidence score and an execution status. Views: Actionable (passes liquidity/data-quality/cost/oracle filters), All Markets, Micro Markets, Stale, Warnings. Columns include HL price, TradFi price, deviation, funding APR, capacity score, depth-1%, open interest and friction cost.
A treemap of the RWA ecosystem. Block size is 24-hour volume; block color is the live deviation (green = Hyperliquid discount, red = premium). Clicking a block opens the asset profile.
The deep-dive page for a single asset: Hyperliquid-vs-TradFi price matrix with per-side freshness counters, deviation chart (90-second cycle), funding APR, borrow cost, capacity, whale positions, liquidation map, gap risk and the slippage matrix (expected slippage for $10k to $500k orders).
The whale radar: position changes across the monitored pool of 282 institutional/whale wallets on Hyperliquid, with flow direction and timing.
A user watchlist pinned into a high-density monitoring grid; also renders a mini leaderboard of watchlist metrics.
Scans for statistically abnormal deviations using rolling z-scores and Bollinger-style bands to flag spreads likely to revert toward their historical mean.
Monitors pricing gaps between US equity closes and the 24/7 Hyperliquid session: where perps misprice overnight news or low-liquidity drift. Produces a battle-plan display with entry/exit zones computed from the deviation distribution.
Historical simulation of basis and mean-reversion strategies with Sharpe, max drawdown and win rate, run against the historical database.
Percentile rankings: where an asset's current funding or deviation sits within its 30-day, 90-day and 1-year distributions. Includes cross-asset correlation and market-regime detection.
Macro events (CPI, FOMC, NFP) overlaid with historical RWA volatility profiles to anticipate liquidity shocks. Currently uses seeded fallback events until a TradingEconomics key is provisioned (labeled honestly).
Orderbook analytics: VPIN toxicity, bid/ask imbalance, L2 depth — execution risk quantification.
A kill-switch matrix of booleans per asset: is_oracle_stale, is_market_halted, is_corporate_action_pending, futures-near-settlement and others.
Per-asset 90-day coverage percentages, last collection timestamps, anomaly counts, and the INCOMPLETE flag list.
Infrastructure health: table freshness, pipeline heartbeats, daemon status.
Plan status, credit balance, usage metering, API key management and USDC billing.