Methodology
Model names live here — not in the homepage pitch. The live board is horizon-specific TW Quant Scores, expected returns, and price targets. Research architectures are evaluated before they can serve.
What is the TW Quant Score?
The TW Quant Score is TradeWell’s research score for a single stock on a single horizon. Each of 2,800+ stocks receives a separate TW Quant Score, expected return, and model-implied price target for each horizon. Scores are not normalized across the ten windows — a high 1W score does not imply a high 1Y score. Read the complete TW Quant Score explainer.
How do the ten horizons work?
Forecasts cover 1D, 3D, 1W, 2W, 1M, 3M, 6M, 1Y, 3Y, and 5Y. TradeWell combines more than 100 proprietary composite signals spanning price, volatility, fundamentals, technicals, momentum, money flow, sentiment, news, insider activity, seasonality, macroeconomic conditions, and valuation. Signals and forecasts refresh daily on current market data and historical daily bars where available. Plain-language window-by-window walkthrough: ten prediction horizons.
Today’s served ensemble is the production ranker family (gradient-boosted trees, linear baselines, and Elite deep rankers). A name is not “live” because it appears in a research paper or a challenger job.
How is accuracy measured?
Live rankers are evaluated on NDCG@30 (NDCG@20 when the evaluated list is shorter than 30). Realized returns feed back into training. Research architectures use walk-forward out-of-sample testing before any model can reach live rankings. Promotion is operator-only. Never auto-promote. TradeWell does not invent or publish fabricated accuracy percentages as product claims. Plain-language walkthrough: how TradeWell accuracy is measured.
What the research program evaluates
TradeWell’s research program evaluates horizon-specific forecasts across time-series foundation models, transformers, sparse mixture-of-experts, state-space models, and graph neural networks using walk-forward out-of-sample testing — before any model can reach live rankings.
Architectures under evaluation include:
- Time-MoE
- Lag-Llama
- Temporal Fusion Transformer
- Chronos
- Mamba-based state-space models
- Dual-Graph Equity Attention Networks
- TabPFN
- Gradient-boosted ranking models
None of those names is a claim that the architecture currently serves the public board.