name = [RSI Context Matrix] // 5-bar rolling window - 3 features per bar (15 values total)

@ Config
{
  cols = 3; // Features per row: RSI value, VIDYA distance, normalized StdDev
}

// Matrix of 5 rows: each row captures a different bar in the lookback window.
// Useful for LSTM, Transformer, or any sequence-based ML model.
@ New Matrix(rows=5)
{
  // #Generate([start, step, len]) auto-builds the index list.
  // [0,1,5] -> indices [0, 1, 2, 3, 4]
  // idx=0 = current bar, idx=4 = 4 bars back
  # Generate([0,1,5])
  {
    [Rsi_Valor][](Timeframe=_Period|Period=14|Applied=PRICE_CLOSE|Hide=true)
    [Vidya_Distancia][](Timeframe=_Period|CmoPeriod=9|EmaPeriod=12|Applied=PRICE_CLOSE|Hide=true)
  }
}

-----
name: "Rsi context matrix"
config:
  cols: 3
  
main:
  - context: matrix
    config:
      rows: 5
    body:
     - type: generate
       config:
         index: [0, 1, 5]  
       body:
          - name: Rsi_Valor
            prefix: ""
            params:
              Timeframe: _Period
              Period: 14
              Applied: PRICE_CLOSE
          - name: Vidya_Distancia
            prefix: ""
            params:
              Timeframe: _Period
              CmoPeriod: 9
              EmaPeriod: 12
              Applied: PRICE_CLOSE 
              Types: ["suma", "resta"]