Blockchain Artificial Neural Networks

2019년 11월 30일

I found a very high correlation in a research-based Artificial Neural Networks.(ANN)
Trained only on daily bars with blockchain data and Bitcoin closing price.
NOTE: It does not repaint strictly during the weekly time frame. (TF = 1W)
Use only for Bitcoin .
Blockchain data can be repainted in the daily time zone according to the description time.
Alarms are available.
And you can also paint bar colors from the menu by region.


After making reminders, let's share the details of this interesting research:

INPUTS :

1. Average Block Size
2. Api Blockchain Size
3. Miners Revenue
4. Hash Rate
5. Bitcoin Cost Per Transaction
6. Bitcoin USD Exchange Trade Volume
7. Bitcoin Total Number of Transactions

OUTPUTS :

1. One day next price close (Historical)

TRAINING DETAILS :

Learning cycles: 1096436
AutoSave cycles: 100

Grid :

Input columns: 7
Output columns: 1
Excluded columns: 0

Training example rows: 446
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0

Network :

Input nodes connected: 7

Hidden layer 1 nodes: 5
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0

Output nodes: 1

Controls :

Learning rate: 0.1000
Momentum: 0.8000
Target error: 0.0100

Training error: 0.010571


The average training error is really low, almost worth the target.
Without using technical analysis data, we established Artificial Neural Networks with blockchain data.
Interesting!