trader-train

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

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Sourceruvnet/ruflo

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo trader-train

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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 neural-trader

Train the specified model:

bash

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:

bash

npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d

Compare model performance across types:

bash

npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats"

Store model results:

mcp__claude-flow__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-models" })

Train SONA on model outcomes:

mcp__claude-flow__neural_train({ patternType: "trading-model", epochs: 10 })

trader-train

NPX Install

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