ANN MACD BTC v2.0 — Indikator oleh Noldo

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Dilihat 938

trendanalysis volatility ema ann noldo btcusd bitcoin ai deep_learning deeplearning artificial_neural_networks artificial_intelligence

This script is the 2nd version of the BTC Deep Learning (ANN) system.
Created with the following indicators and tools:
RSI
MACD
MOM
Bollinger Bands
Guppy Exponential Moving Averages:
(3,5,8,10,12,15,30,35,40,45,50,60)
Note: I was inspired by the CM Guppy Ema script.

Thank you very much to dear wroclai for his great help.
He has been a big help in the deep learning series.
That's why the licenses in this series are for both of us.
I'm sharing these series and thats the first. Stay tuned and regards!

Note : Alerts added.

Website : https://www.autonomouscripts.com
Contact :
info@autonomouscripts.com
Under construction...

Komentar

Really nice work. thanks for adding the alerts. Also like the idea on your other comment to move to LSTM :) Cant wait

Jawab

Looks great!
Can you please explain what you mean by Deep Learning and how it works in your script?

Jawab

Lij_MC

@Lij_MC, Hello , you can find explainations here from my first deep learning script , and if you have a question , you can pm me . Regards :

Jawab

Noldo

@Noldo, Thank you I will take a look

Jawab

Lij_MC

@Lij_MC, simply this script finds a correlation about the indicators and the next closing and formulates it.
In this way, we will be one click closer to the future.For formulation , my first script contains mathematical explanation.

Jawab

Noldo

Sorry for typo : next close

Jawab

Noldo

@Noldo, Very Nice Indeed
Also can it only be used on BTC or can I use it on Alts or stocks etc?

Jawab

Lij_MC

@Lij_MC,
Since the calculations are made only for Bitcoin, it contains Bitcoin behaviors.
Every instrument's behaviours are different.
So i recommend you only use with Bitcoin.
The series will continue and i will gradually cover the other instruments.
Btw this is the ethereum one :

Jawab

Noldo

@Noldo, Thank You for your hard work, it is a truly remarkable concept.

Jawab

Lij_MC

@Lij_MC, your welcome.

Jawab