At StrongBuyAnalytics, every piece of analysis is generated through a systematic, rules-based framework built on data science principles. We don't rely on opinions, hot takes, or market hype. Instead, our AI engine processes multiple data streams, applies quantitative models, and delivers consistent, repeatable insights designed to help you trade with discipline.
This page explains exactly how our analysis works — from the data we collect, to the scores we generate, to the risk framework that keeps you protected. Transparency is a core value: you should understand exactly what's behind every recommendation and score.
The Strong Buy Score is the cornerstone of our platform — a composite rating from 0 to 100 that evaluates a stock across multiple dimensions. Rather than reducing complex financial data to a simple "buy" or "sell," the score gives you a nuanced, quantitative view of a stock's overall attractiveness.
The score is calculated by evaluating five core pillars:
Each pillar is weighted and scored using quantitative models calibrated against historical market performance. The result is a single, actionable number that captures the stock's risk-reward profile at a glance. Explore how our founder, Ammar Aljanabi's track record validates this systematic approach.
Reliable analysis starts with reliable data. We aggregate financial data from multiple institutional-grade sources to ensure comprehensive coverage and cross-validation:
By cross-referencing multiple sources, we reduce the risk of acting on incomplete or stale data. Our earnings calendar, trending stocks, and sector sentiment tools all draw from this multi-source data pipeline.
Finding opportunities is only half the equation. Managing risk is what separates profitable traders from the rest. Our risk management framework is baked into every analysis we produce, ensuring you always understand the downside before considering the upside.
The framework evaluates several risk dimensions for every stock:
Each stock receives a risk classification that helps you size positions appropriately and understand exposure. This framework reflects the same data science principles Ammar Aljanabi applies to personal trading — because managing risk is what makes a 78% win rate sustainable over thousands of trades.
The biggest enemy of consistent profitability isn't bad analysis — it's emotion. Fear makes you sell too early. Greed makes you hold too long. Confirmation bias makes you see what you want to see. Rules-based analysis eliminates these failure modes by enforcing consistency.
Every analysis on StrongBuyAnalytics follows the same systematic process regardless of which stock is being evaluated. The same criteria, the same scoring model, the same risk framework. This means you can compare any two stocks on an equal footing, and the results are always reproducible.
Ammar Aljanabi built this platform on the belief that trading should be treated like a business: disciplined execution of a proven process, measured by probability over time. Learn more about our philosophy, explore the results this approach has produced, or dive into our educational resources to sharpen your edge.