Logic is correct.
But I prefer to say experimental because the sample set is narrow. (300 columns)
6 inputs : Volume Change , Bollinger Low Band chg. , Bollinger Mid Band chg., Bollinger Up Band chg. , RSI change , MACD histogram change.
1 output : Future bar change (Historical)
Training timeframe : 15 mins (Analysis TF > 4 hours (My...
This script is an adaptation of my deep learning system for Bitcoin to fractals.
Fractal codes are not belong to me. Original :
The code for the Deep learning (ANN MACD BTC) work belongs to me. Original:
I didn't get ...
The Alpha-Sutte model is an ongoing project run by Ansari Saleh Ahmar, a lecturer and researcher at Universitas Negeri Makassar in Indonesia, that attempts to make forecasts for time series like how Arima and Holt-Winters models do. Currently Ahmar and his team have conducted research and published papers comparing the efficacy of the Alpha-Sutte and other models,...
You can only use this for BTC.
Bitcoin over time tends to be priced at 7000 times the number of users (in terms of market cap).
Number of Wallets*7000/(Circulating Supply or 21,000,000)
You can decide whether you want to use the Circulating Supply or 21,000,000 as a reference.
The default settings are using 21,000,000 because it seems...