Quant Pravah

Risk disclosure

Last updated: 31 October 2026

Trading involves substantial risk

Trading in securities, and especially in futures and options (F&O), can result in losses larger than you expect, including the loss of all capital deployed. SEBI's own studies of individual traders in the equity derivatives segment found that about 93% of individual traders incurred net losses over FY2022–FY2024 (SEBI press release PR No. 22/2024), and that a large majority continued to incur net losses in later years.

Only trade with money you can afford to lose, and consider your own financial situation before any decision.

What QuantPravah provides — and what it does not

QuantPravah publishes model-derived market analytics: index levels, rule-based market views, scanner outputs, scenario charts and an experimental machine-learning view. These are produced by automated models from public market data. They are informational and educational. They are not personalised to you, are not investment advice and are not a recommendation to buy or sell any security.

The machine-learning view is labelled experimental and unvalidated: no model has demonstrated predictive skill on unseen data. Back-tests of published setups have not shown a positive expectancy. Past model behaviour does not indicate future results. Astro-timing material is not a scientifically validated forecasting method.

Data limitations

Source data can be delayed, incomplete, revised or wrong. Where an input is unavailable, QuantPravah shows the value as unavailable rather than estimating it, but errors can still occur. Always confirm prices and levels with your broker or the exchange before acting.

No guarantee

QuantPravah does not guarantee any return, accuracy, profit or outcome, and no statement on this site should be read as such a guarantee.

This document describes how QuantPravah actually works today. It has not yet been reviewed by a qualified Indian legal professional; it will be updated after that review.