HypQuant¶
Financial data infrastructure for quantitative traders.
HypQuant gives you clean, validated OHLCV candles, funding rates, and 20 pre-computed features across Hyperliquid and Binance — ready to plug into your backtest or live strategy in minutes.
Why HypQuant?¶
Raw crypto data is messy. Exchanges return inconsistent timestamps, missing candles, and prices that violate basic OHLCV invariants (low > close). Cleaning that data correctly takes weeks. HypQuant has already done it — and we document every decision we made.
| Raw exchange data | HypQuant | |
|---|---|---|
| Timestamp alignment | Per-exchange jitter | UTC-aligned, cross-exchange matched |
| Gaps | Silently missing | Detected, catalogued, forward-filled or flagged |
| Features | You compute them | 20 pre-computed, validated against pandas-ta |
| Data quality signal | None | DQS score 0–1 with breakdown per asset |
5-minute start¶
from hypquant import MarketData
md = MarketData(api_key="qp_...")
df = md.ohlcv("BTC-USDC", exchange="hyperliquid", timeframe="1h", start="2024-01-01")
print(df.head())
What's available¶
- Exchanges: Hyperliquid (perpetuals), Binance (spot)
- Timeframes: 1m, 5m, 15m, 1h, 4h, 1d
- Features: RSI, MACD, Bollinger Bands, ATR, VWAP, funding z-score, premium, and more
- Quality: Data Quality Score (DQS) with gap rate, anomaly, consistency, freshness breakdown
Pricing¶
| Tier | Price | Rate limit | Assets | History |
|---|---|---|---|---|
| Free | $0/mo | 1k req/day | 5 | 1 year |
| Pro | $149/mo | 50k req/day | 30 | Full |
| Scale | $499/mo | Unlimited | Unlimited | Full + SLA |
Free tier requires no credit card. Sign up →
Known limitations
HypQuant v1.0 does not support L3 order book data, WebSocket streaming, or exchanges beyond Hyperliquid and Binance. See the full Known Limitations page before building on top of us — we think transparency here is a feature, not a bug.