Stock ranking accuracy: how TradeWell uses NDCG@30
TradeWell publishes a separate TW Quant Score, expected return, and model-implied price target for each of 2,800+ equities on each of ten horizons (1D, 3D, 1W, 2W, 1M, 3M, 6M, 1Y, 3Y, 5Y). Ranking quality matters more than a single invented win rate — so live rankers are evaluated with NDCG@30.
What NDCG@30 measures
NDCG@30 (Normalized Discounted Cumulative Gain at rank 30) scores how well the top thirty names in a list align with realized outcomes for that horizon. Better-performing names higher in the list raise the score; burying them lowers it. When the evaluated list is shorter than 30 names, TradeWell reports NDCG@20 instead. NDCG@10 may still appear as a secondary field, but it is not the headline metric.
Live rankers vs research models
- Live public rankers: NDCG@30 (floor NDCG@20 when the list is shorter than 30).
- Research architectures: walk-forward out-of-sample testing before any promotion to the public board.
- Full methodology: how TW Quant Scores are built.
- Measurement detail: how TradeWell accuracy is measured.
Why we refuse fabricated win rates
TradeWell does not invent or publish fabricated win-rate, hit-rate, or IC percentages as product claims on marketing pages. Ranking metrics like NDCG describe list quality for a horizon; they are not a promise that any single name will rise. Past model performance does not guarantee future results.
Related research
- Research hub
- Stock screener by time horizon
- AI stock predictor explainer
- Per-ticker prediction pages