W-Quant
Quantitative market research & analysis.
- →Market data ingestion
- →Strategy research
- →Backtesting
- →Signal generation
UI previewW-Quant is a quantitative research and analysis platform for traders, portfolio managers, and data-driven investors who want to move from raw market data to backtested strategies without stitching together a dozen disparate tools. Ingest price feeds, alternative data, and corporate fundamentals, then research, code, and validate strategies in one cohesive environment. Signal generation pipelines keep your models live and actionable once research is complete.
Market data ingestion
Connect to equity, futures, crypto, and alternative data sources through a unified ingestion layer that normalizes tick, OHLCV, and fundamental data into a consistent schema. Data is stored with full provenance so every backtest references the exact historical snapshot it ran against — no look-ahead bias creeping in from adjusted data.
Strategy research & backtesting
Write strategies in a structured research environment with access to a rich library of technical indicators, statistical transforms, and risk metrics. Backtesting runs against your ingested historical data with realistic slippage and commission modeling, returning equity curves, Sharpe ratio, max drawdown, and per-trade breakdowns. Iterate quickly and compare strategy variants side by side.
Signal generation
Promote a validated strategy to a live signal pipeline that runs on fresh market data and emits structured signals your execution layer can consume. Signals carry confidence scores, timestamps, and the exact feature values that triggered them — full auditability from raw data to trade decision.
Why quant teams use it
Most quant workflows are fragile pipelines of Jupyter notebooks, shell scripts, and ad-hoc databases. W-Quant replaces that fragility with a managed, auditable environment where research and production use the same data and code paths. Your W membership covers full access — no per-model or per-signal seat fees.
Use cases
- →Research and backtest systematic equity strategies against 10+ years of history
- →Build factor models and validate alpha decay before committing capital
- →Generate daily rebalancing signals consumed by an automated execution system
- →Analyze crypto market microstructure with tick-level data ingestion
- →Compare multiple strategy variants with consistent risk-adjusted metrics
No per-product fees. Your W membership unlocks every product — sign in anywhere with W-ID.