trader-train

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__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__neural_train argument-hint <lstm|transformer|nbeats> --symbol <TICKER> Train neural prediction models using neural-trader's ML engine. Steps: Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader Train the specified model: npx 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 Review training output: loss curves, validation metrics, prediction accuracy Generate predictions with confidence intervals: npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d Compare model performance across types: npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats" Store model results (canonical trading-analysis namespace per ADR-126 Phase 1 — was previously stored to undeclared trading-models ): mcp__plugin_ruflo-core_ruflo__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-analysis" }) Train SONA on model outcomes: mcp__plugin_ruflo-core_ruflo__neural_train({ patternType: "trading-model", epochs: 10 })