Institutional-Grade Quant Data Structures.
We deliver high-fidelity market microstructure analysis and cleansed historical datasets. Our systems are engineered to eliminate survivorship bias and provide granular insights into global liquidity shifts.
Raw Market Capture & Normalization
01 / TICK-BY-TICK PRECISION
Our capture engines process every quote change and trade execution across major equity and futures exchanges. Unlike standard retail feeds, we maintain the full depth of the order book (L2/L3), allowing for precise calculations of limit order displacement and liquidity voids.
02 / BIAS ELIMINATION
We apply rigorous data cleansing protocols. This includes the correction of "bad ticks," handling of corporate actions in historical backtests, and ensuring that our quant data is free from the look-ahead biases that often compromise algorithmic validation.
03 / MULTI-SOURCE SYNC
Time-stamping is synchronized via PTP (Precision Time Protocol) across our Singapore and global nodes. This ensures that cross-asset correlations are measured on a unified temporal plane, essential for high-frequency structural analysis.
Analytical Feed Categories
Zenith Quant Data provides three distinct structural layers designed for different phases of the trading lifecycle.
Order Flow Dynamics
Real-time tracking of aggressive vs. passive participation. Includes volume-weighted average price (VWAP) deviations and delta-profile clustering per session.
- CUMULATIVE DELTA
- ABSORPTION METRICS
- SLIPPAGE PROBABILITY
Market Microstructure
Structural analysis of spread dynamics and order book imbalance. Designed for market-making strategies and institutional execution desks.
- BOOK IMBALANCE (OBI)
- TOXICITY SCORING (VPIN)
- QUEUE POSITION EST.
Historical Archives
Point-in-time datasets spanning 10+ years across 40+ exchanges. Fully adjusted for dividends, splits, and ticker changes.
- OHLCV AGGREGATIONS
- VENUE-SPECIFIC TICK
- REGULATORY RECAPS
System Architecture
Our delivery infrastructure is built for low-latency retrieval. We utilize a columnar storage format (Parquet/ClickHouse) to allow for rapid multi-terabyte queries across long-term historical windows.
Explore MethodologyREST / WebSocket API
Real-time streaming via secure WebSockets with low-latency JSON or Protobuf payloads.
S3 / Cloud Storage
Daily snapshots and flat-file historical dumps available via encrypted cloud buckets.
Pandas / Polars / Julia
Native wrappers for Python and Julia to accelerate quantitative research workflows.
Checksum Validation
Automated hash verification on every data packet to ensure zero-loss transmission.
"Accuracy in quantitative trading isn't a feature; it is the foundation of every viable system we deploy."
Integrate Our Data into Your Workflow
Whether you are refining a high-frequency strategy or conducting deep-cycle structural research, Zenith Quant Data provides the raw material for superior alpha generation.
Singapore 51
info@zenithquantdata.digital
Available via API, S3, and FIX