let's extend that to have 32 more values - it will be added later but we need our model architecture to support it.
we'd also want to have 5 different timeframes at once: 1s(ticks - probably only price and emas), 1m,15m, 1h and 1d. each module will accept all the data, but will produce prediction only for it's own timeframe