Noldo

Candlesticks ANN for Stock Markets TF : 1W

Hello, this script consists of training candlesticks with Artificial Neural Networks (ANN).
In addition to the first series, candlesticks' bodies and wicks were also introduced as training inputs.

The inputs are individually trained to find the relationship between the subsequent historical value of all candlestick values ​​1.(High,Low,Close,Open)


The outputs are adapted to the current values ​​with a simple forecast code.
Once the OHLC value is found, the exponential moving averages of 5 and 20 periods are used.

Reminder : OHLC = (Open + High + Close + Low ) / 4


First version :


Script is designed for S&P 500 Indices,Funds,ETFs, especially S&P 500 Stocks,and for all liquid Stocks all around the World.
NOTE: This script is only suitable for 1W time-frame for Stocks.

  • The average training error rates are less than 5 per thousand for each candlestick variable. (Average Error < 0.005 )

I've just finished it and haven't tested it in detail.
So let's use it carefully as a supporter.

Best regards !

Open-source Skript

Ganz im Sinne von TradingView hat der Autor dieses Skripts es als Open-Source veröffentlicht, damit Trader es verstehen und überprüfen können. Ein Hoch auf den Autor! Sie können es kostenlos verwenden, aber die Wiederverwendung dieses Codes in einer Publikation unterliegt den Hausregeln. Sie können das Skript den Favoriten hinzufügen, um es auf dem Chart zu verwenden.

Möchten Sie dieses Skript auf einem Chart verwenden?

Kommentare

Hi, amazing work !
I'm currently trying to learn ANN as well, pretty sure it's a basic question...But how do you iterate your model to find the proper parameters in the activation function ? I guess you have used the gradient propagation method, but how is it possible on TV ?

Thanks a lot,

Cheers.
+1 Antworten