Search results

Branch, diff, and merge database tables using version-control operations alongside SQL.

Screen options, test explicit rules and inspect each simulated trade

Research options in a browser or build on licensed historical datasets

An LLM request gateway and dashboard for tracing calls, latency, and model spend.

Organize machine-learning experiments for quantitative investment research

Explore crypto derivatives and purchase selected historical datasets

Connect financial data providers to Python and research applications

Research international banking, liquidity and financial-market statistics

Research and backtest quantitative strategies in notebooks and code

An analytical database offered as a managed service and as a self-managed engine.

A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.

Inspect supplied server logs to understand which URLs search and AI bots actually requested.

Explore business and engineering data through linked statistical analyses and visualizations.

Retrieve financial series, indicators and market news through APIs

Compare crypto futures activity and retrieve limited historical series

Compare ETF peers and bring structured fund data into research systems

License financial datasets for personal research or commercial products

Use a common API structure across financial asset classes

Agent tracing, online evaluation, and alerts for monitoring production AI behavior.

Add entity, theme and sentiment features to financial-text research

Choose Python research and backtesting engines for the task

Run analytical SQL queries against column-oriented data in ClickHouse.

Bring token screening, news and event research into one workspace

Use colour-science tables with explicit sampling, metadata and citations.