Cap Pasar Crypto, BTC/USD, ETH/USD, USDT/USD, XRP/USD, Bitcoin
BANK BTPN SYARIAH TBK, BANK RAKYAT INDONESIA (PERSERO) TBK, ANTHEM INC, GARUDA INDONESIA (PERSERO) TBK, WIJAYA KARYA (PERSERO) TBK, BANK CENTRAL ASIA TBK
Indeks Komposit Jakarta, S&P 500, Dow Jones, Nasdaq 100, Nikkei 225, FTSE 100
AS 10Th, Euro Bund, Jerman 10Th, Hasil 10Th Jepang, UK 10Th, India 10Th
This script is trained with Ethereum (Timeframe : 4 hours ). Details : Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 8 Hidden layer 2 nodes: 1 Hidden layer 3...
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...
This script aims to establish artificial neural networks with gold data.(4H) Details : Learning cycles: 329818 Training error: 0.012767 ( Slightly above average but negligible.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example...
This script trained with Brent Crude Oil data including 7 basic indicators and 12 Guppy Exponential Moving Averages . Details : Learning cycles: 1 Training error: 0.006591 ( Smaller than 0.01 ! ) AutoSave cycles: 100 Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example...
Hello , this script is trained with eurusd 4-hour data. (550 columns) Details : Learning cycles: 8327 AutoSave cycles: 100 Training error: 0.005500 ( That's a very good error coefficient.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 550 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated...
This script consists of converting the value of 1 gram and / or 1 ounce of gold according to the national currencies into a system with artificial neural networks. Why did I feel such a need? Even though the printed products in the market are digitally circulated, only precious metals are available in full or near full. Silver is difficult to carry because you...
This script is formed by training the S & P 500 Index with various indicators. Details : Learning cycles: 78089 AutoSave cycles: 100 Training error: 0.011650 (Far less than the target, but acceptable.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded...