Table of contents
SQL Data Terminal
Connect market, macro, fundamentals, COT positioning & SEC 13F data in the same query
Quant Lab
Cross-asset correlation networks, regression analysis, PCA, tail-risk analytics
One-Click Charting
Chart any result instantly โ time series or categorical, no separate tool needed
ManiDesk lets you write SQL across market data, macro and rates, financial statements, positioning data (COT), and institutional filings (SEC 13F) in one connection. Any result can be charted immediately and saved as a table โ instantly visible to your team, so the team can build on top of it without re-fetching or re-cleaning data. No other tool in this price range combines cross-asset data with a live, shared-table primitive.
Because everything you need for cross-asset analysis is already connected in one SQL workspace, with zero setup. There's no pulling data from different sources, no cleaning, no stitching timeframes together by hand. You write one query and get a cross-asset answer in seconds โ something that normally takes hours of manual data-wrangling before you even start the actual analysis. Save any query and any result as a table, chart it instantly, and build the next question directly on top of it. ManiDesk gives you the freedom to chase whatever analysis you're curious about in the moment, without being boxed into pre-built dashboards or waiting on a data team.
Anyone interested in financial markets, quant-curious who want cross-asset market, macro, and institutional data in one workspace without enterprise pricing or a data-engineering team.
I built ManiDesk for myself first โ I was doing my own quant analysis and got tired of the actual work never being the hard part. The hard part was constantly stitching together data from different sources, building pipelines, and keeping them updated, before I could even start analyzing anything. So I built ManiDesk to remove that entirely: one SQL workspace multiple data sources already connected, so all that data-engineering overhead disappears and I can spend my energy on the analysis itself instead of the plumbing around it.
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