Use trained models inside strategies
Train versioned models on Tradee price data, then use those outputs as explicit inputs in the visual strategy graph you already edit on the strategy canvas.
Models stay admin-built today. The roadmap is to let a trained artifact sit on the same graph as indicators and conditions, then travel with the strategy that uses it.
Planned work
- Build and train versioned machine-learning models on Tradee price data.
- Use model outputs as explicit inputs in the visual strategy graph.
- Backtest and paper-trade the same pinned model artifact with the strategy that uses it.
A model version is an input, not a hidden live recode. The backtest and the paper bot should see the same pinned artifact.