Market Microstructure
Beyond simple OHLCV data. We provide the tools to analyze tick-level liquidity dynamics, order book imbalances, and latency arbitrage opportunities across fragmented markets.
Order Book Heatmaps
Visualize liquidity pools before they are hit. Our microstructure analytics engine reconstructs historical L3 order books to help you identify spoofing, iceberg orders, and toxic flow.
By mapping resting limit orders over time, your models can predict short-term price vectors based on localized supply and demand walls, rather than lagging technical indicators.
BTC-USD Liquidity Imbalance (Mock)
Slippage & Latency Analytics
In evaluation models, assuming zero slippage is a recipe for disaster. We model precise fill probabilities and latency penalties based on real-world exchange topology.
Queue Position Modeling
Our backtesting engine doesn't just check if a price was touched. It simulates your exact queue position within the order book. If your signal fires 5ms after a major news event, our engine calculates the network transit time and places your order at the back of the reconstructed queue, ensuring highly realistic fill rates.
Cross-Exchange Fragmentation
Track the "NBBO" (National Best Bid and Offer) equivalent across global crypto exchanges. Evaluate how your arbitrage models would perform taking into account the varying API rate limits, WebSocket jitter, and geographic latency between AWS (Binance) and GCP (Coinbase) data centers.
Tick-by-Tick L3 Data Warehouse
Standard backtesting platforms use aggregated 1-minute OHLCV candles. This is fundamentally flawed for high-frequency strategies. We capture, store, and serve unaggregated Level 3 order book deltas (every insert, cancel, and execute event).
Nanosecond Precision
Timestamps synchronized via PTP (Precision Time Protocol) directly at the exchange colocation, avoiding network jitter artifacts in your datasets.
Petabyte Scale
Over 4PB of compressed tick data available for immediate query. Run 10-year Monte Carlo simulations without hitting rate limits or downloading massive CSVs.
Cross-Market Sync
Simultaneously query synchronized tick data from CME, Binance, and NASDAQ to validate complex statistical arbitrage and hedging models.
Toxic Flow & Adverse Selection
Are your limit orders being picked off by faster participants right before the market moves? Our microstructure analytics engine flags "toxic flow" (informed trading) by analyzing the VPIN (Volume-Synchronized Probability of Informed Trading) metric in real-time.
By evaluating order book replenishment rates post-execution, we help you adjust your quoting logic dynamically to avoid adverse selection in volatile regimes.
Iceberg & Hidden Order Detection
Institutional algorithms often slice large orders into smaller chunks (Icebergs) to conceal their true intentions. Our evaluation engine utilizes statistical pattern recognition to detect these hidden liquidity pools.
Identify anomalous order-to-trade ratios and recurring sub-millisecond execution patterns to map out institutional supply/demand walls that don't appear in the standard L2 feed.