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trader-train

Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

plugins/ruflo-neural-trader/skills/trader-train/SKILL.md

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Train neural prediction models using neural-trader's ML engine.

Steps:
1. Ensure neural-trader is available:
   `npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader`
2. Train the specified model:
   ```bash
   npx neural-trader --train --model lstm --symbol TICKER --epochs 50
   ```
   `--train` is required; `--model X --symbol T` alone is rejected ("Unknown command"), and `--confidence` and `--decompose` do not exist. In 2.8.11 the result carries `upstreamStub: true` ("neuralTrain returns a placeholder shape (no real LSTM/Transformer fit yet)"). Report that no model was fitted; never describe the output as a trained model or quote its numbers as accuracy.
3. Review training output: loss curves, validation metrics, prediction accuracy
4. Generate predictions with confidence intervals:
   ```bash
   npx neural-trader --predict --model MODEL --symbol TICKER [--gpu]
   ```