ALPHATRAIL.AI
Methodology

Data Methodology

Learn how AlphaTrail approaches smart-money tracking, token momentum, wallet labeling, risk flags, and data limitations.

Research signals, not recommendations

AlphaTrail combines public blockchain activity with third-party market context to organize research. Outputs describe observed data and should not be interpreted as predictions.

Wallet and market context

Wallet selection and token screening use multiple checks rather than relying on a single transaction or headline metric. Exact thresholds can change as the product is evaluated.

Freshness and limitations

Blockchain and provider data can be delayed, incomplete, reclassified, or unavailable. Every signal can produce false positives and false negatives.