Methodology
How GrowthIntel approaches growth-stock research
GrowthIntel combines screening, market context, technical setup review, news, alerting and AI-assisted explanation to help users organise research. It does not replace independent checks or professional advice.
Published 26 August 2026 · Updated 26 August 2026 · Author: GrowthIntel
What is GrowthIntel's research method?
GrowthIntel starts with observable data, labels the freshness of that data, separates confirmed information from estimates, and presents scores as research signals rather than instructions to buy or sell.
Research workflow
Users can begin with CANSLIM-style screening, check market conditions, compare breakout and momentum behaviour, review relevant news, inspect smart-money context, set alerts, and use AI summaries to form better follow-up questions.
Data freshness
Dynamic app sections should show whether data is live, delayed, cached, degraded or stale. If a provider is unavailable, GrowthIntel should preserve the latest successful dataset where appropriate and label the timestamp honestly.
AI-assisted analysis
AI output is used to explain and summarise research context. AI can make mistakes, misunderstand questions or miss recent changes, so users should verify important facts using the underlying GrowthIntel section and external sources.
What GrowthIntel does not do
- GrowthIntel does not execute trades or hold customer money.
- GrowthIntel does not guarantee returns or future stock performance.
- GrowthIntel does not provide personalised financial, tax or legal advice.
Related pages
Explore GrowthIntel features, the editorial policy, and the investment risk disclosure.