SIGMA IV is an independent research and technology company. It builds scientific analysis software, quantitative research systems and machine-learning tools, and moves methods between them.
Scientific software
Desktop software that takes laboratory researchers from a spreadsheet to a report: statistics checked against R, publication charts, omics, 3D views, lab tools and machine learning. Everything runs on the researcher's own computer.
Version 4A.11 for Windows and macOS. Public download not yet open.
See SCALAR and try the demoFinance
Systematic research into markets: allocation and rotation models, portfolio construction, risk management, backtesting and the data systems behind them. Developed over nearly five years.
Research only. No client money, no investment advice.
See the researchResearch
Machine learning that is tested honestly. Tabular models already work inside SCALAR; research continues into neural networks and computer vision, with microscopy image analysis as a first application.
Tabular ML available in SCALAR. Image analysis in research.
See the research and demosFour working demos. They run in your browser on synthetic data; nothing is sent anywhere.
The same methods recur in each division. Three examples.
| SCALAR | Quantitative research | AI and machine learning | |
|---|---|---|---|
| Statistical inference | Tests on laboratory measurements, corrected for multiple comparisons | Asking whether a backtest result survives costs, chance and the variants tried before it | Cross-validation and shuffled-label baselines before trusting a model |
| Data engineering | Every answer reproducible from R code and an Excel workbook | Market and macro data pipelines behind the analytics dashboards | A local model library that refuses changed model files |
| Images and visualisation | Fluorescence images as 3D intensity landscapes | Interactive dashboards for market data | Segmentation of microscopy images (research) |
SIGMA IV was founded by a researcher with a background in biomedical research and nearly five years of work in quantitative finance.