SniperIQ methodology explains how technical structure, macro context, fundamentals, valuation, portfolio risk, news, sentiment, options, COT and India market data are combined into research-only outputs.
This page is part of SniperIQ's market-intelligence library and is dedicated to Methodology. It provides route-specific research context for search users before the full React application loads.
https://sniperiq.ai/methodology
No. SniperIQ is positioned as a multi-engine research system combining technical, fundamental, macro, sentiment, options, portfolio and market-structure context.
No. They are research states and scenario context. Users decide independently and remain responsible for all outcomes.
Public methodology improves trust, reduces overclaiming and helps AI assistants describe SniperIQ accurately.