TradeAlpha AIResearch Platform
Transparency

How TradeAlpha Score Works

TradeAlpha Score is a transparent educational screening framework for stocks and ETFs. It combines technical, fundamental, momentum, sentiment, and risk context without providing financial advice.

AI Analysis Explanation

Rule-based, not predictive claims

The current research explanation layer is deterministic and rule-based. It explains why a score is high or low based on visible educational inputs. It does not guarantee outcomes or predict profits.

Terminology Helper

Common market terms

RSI reviews momentum, moving averages summarize trend context, expense ratio describes ETF cost, volatility estimates movement range, and sentiment summarizes market tone.

Data Transparency

Mock, live, stale, fallback, and unavailable states

The portal identifies whether analysis is using educational mock data, future live provider data, stale cached data, provider fallback data, or unavailable data. This transparency does not change the educational-only nature of the analysis.

Open Market Data Status
FAQ

Methodology questions

Does TradeAlpha Score provide financial advice?

No. This analysis is for educational and informational purposes only and does not constitute financial advice.

Why include risk adjustment?

Risk adjustment prevents high momentum or strong fundamentals from masking volatility, overextension, or elevated risk conditions.

Can this methodology scale to more symbols?

Yes. The scoring engine and content templates are designed to support future generated stock and ETF pages.