Platform Capabilities
Streaming Data Pipelines
Ingest and normalize real-time market data from 50+ exchanges, consolidated feeds, and alternative data providers. Apply custom transformations, enrichments, and filters in a declarative pipeline language. End-to-end latency under 50 milliseconds for standard workloads, with a high-performance tier delivering sub-millisecond for latency-sensitive signals.
Alternative Data Integration
Connect satellite imagery, web scraping feeds, shipping and logistics data, social media sentiment, and patent filings into your analytical workflow. ShoalFlow handles ingestion, cleaning, entity resolution, and temporal alignment so that alternative datasets are research-ready on arrival.
Predictive ML Models
A library of pre-trained and customizable machine learning models for volatility forecasting, trade arrival rate prediction, liquidity estimation, and event-driven signal generation. Models are retrained continuously on fresh data and served via a low-latency inference API with versioning and A/B testing support.
Interactive Research Notebooks
A hosted notebook environment tailored for quant research. Query petabytes of tick data with SQL or Python, visualize results in real time, and promote notebooks to production pipelines with a single command. Integrates natively with popular libraries including pandas, polars, and PyTorch.
Real-Time Dashboards & Alerts
Configurable dashboards that visualize streaming analytics in real time — from cross-asset correlation matrices to sector rotation heatmaps. Set threshold-based or anomaly-detection alerts that notify via Slack, email, or webhook within seconds of trigger.