// Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
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| name | trader-train |
| description | Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals |
| allowed-tools | Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__neural_train |
| argument-hint | <lstm|transformer|nbeats> --symbol <TICKER> |
Train neural prediction models using neural-trader's ML engine.
Steps:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-tradernpx neural-trader --model lstm --symbol TICKER --confidence 0.95
npx neural-trader --model transformer --symbol TICKER --predict
npx neural-trader --model nbeats --symbol TICKER --decompose
npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d
npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats"
trading-analysis namespace per ADR-126 Phase 1 — was previously stored to undeclared trading-models):
mcp__claude-flow__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-analysis" })mcp__claude-flow__neural_train({ patternType: "trading-model", epochs: 10 })