Market model results without fake accuracy claims.
What it does
Runs market prediction model training and reports whether the outputs come from a real fit or a placeholder.
When to use it
Use when requesting LSTM, Transformer, or N-BEATS training on market data.
How to use it
Give it a model type and ticker symbol; it reports training and prediction outputs, identifies placeholders, and stores model results.
What you provide
- a model type
- a ticker symbol
Latest review
What you need · 1
Requires a connected MCP server exposing memory_store for model results and neural_train for the conditional SONA training step.
Access · 3
This skill
ruflo
Write
Stores model results in ruflo
neural-trader
Execute
Installs neural-trader if missing
SONA
Execute
Trains SONA on model outcomes