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Neuralnetwork

ANN MACD : 25 IN 1 SCRIPTIn this script, I tried to fit deep learning series to 1 command system up to the maximum point. After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate ann system. Listed instruments with alternative tickers and error rates: WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593 BRENT : Brent Crude Oil (BCOUSD , UKOIL , BB1! ) Average error : 0.006591 GOLD : XAUUSD , GOLD , GC1! Average error : 0.012767 SP500 : S&P 500 Index (SPX500USD , SP1!) Average error : 0.011650 EURUSD : Eurodollar (EURUSD , 6E1! , FCEU1!) Average error : 0.005500 ETHUSD : Ethereum (ETHUSD , ETHUSDT ) Average error : 0.009378 BTCUSD : Bitcoin (BTCUSD , BTCUSDT , XBTUSD , BTC1!) Average error : 0.01050 GBPUSD : British Pound (GBPUSD,6B1! , GBP1!) Average error : 0.009999 USDJPY : US Dollar / Japanese Yen (USDJPY , FCUY1!) Average error : 0.009198 USDCHF : US Dollar / Swiss Franc (USDCHF , FCUF1! ) Average error : 0.009999 USDCAD : Us Dollar / Canadian Dollar (USDCAD) Average error : 0.012162 SOYBNUSD : Soybean (SOYBNUSD , ZS1!) Average error : 0.010000 CORNUSD : Corn (ZC1! ) Average error : 0.007574 NATGASUSD : Natural Gas (NATGASUSD , NG1!) Average error : 0.010000 SUGARUSD : Sugar (SUGARUSD , SB1! ) Average error : 0.011081 WHEATUSD : Wheat (WHEATUSD , ZW1!) Average error : 0.009980 XPTUSD : Platinum (XPTUSD , PL1! ) Average error : 0.009964 XU030 : Borsa Istanbul 30 Futures ( XU030 , XU030D1! ) Average error : 0.010727 VIX : S & P 500 Volatility Index (VX1! , VIX ) Average error : 0.009999 YM : E - Mini Dow Futures (YM1! ) Average error : 0.010819 ES : S&P 500 E-Mini Futures (ES1! ) Average error : 0.010709 GAZP : Gazprom Futures (GAZP , GZ1! ) Average error : 0.008442 SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287 XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803 Note 1 : Australian Dollar (AUDUSD , AUD1! , FCAU1! ) : Instrument has been removed because it has an average error rate of over 0.13. The average error rate is 0.1850. I didn't delete it from the menu just because there was so much request, You can use. Note 2 : Friends have too many requests, it took me a week in total and 1 other script that I'll share in 2 days. Reaching these error rates is a very difficult task, and when I keep at a low learning rate, they are trained for a very long time. If I don't see the error rate at an average low, I increase the layers and go back into a longer process. It takes me 45 minutes per instrument to command artificial neural networks, so I'll release one more open source, and then we'll be laying 70-80 percent of the world trade volume with artificial neural networks. Note 3 : I would like to thank wroclai for helping me with this script. This script is subject to MIT License on behalf of both of us. You can review my original idea scripts from my Github page. You can use it free but if you are going to modify it, just quote this script . I hope it will help everyone, after 1-2 days I will share another ann script that I think is of the same importance as this, stay tuned. Regards , Noldo .
Indicatore Pine Script®
di Noldo
21
ANN MACD WTI (West Texas Intermediate) This script created by training WTI 4 hour data , 7 indicators and 12 Guppy Exponential Moving Averages. Details : Learning cycles: 1 AutoSave cycles: 100 Training error: 0.007593 ( Smaller than average target ! ) 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: 2 Hidden layer 2 nodes: 6 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Special thanks to wroclai for his great effort. Deep learning series will continue. But I need to rest my eyes a little :) Stay tuned ! Regards.
Indicatore Pine Script®
di Noldo
1
ANN MACD BRENT CRUDE OIL (UKOIL) 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 rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 2 Hidden layer 2 nodes: 6 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Note : Alerts added . Special thanks to wroclai for his great effort. Deep learning series will continue , stay tuned ! Regards.
Indicatore Pine Script®
di Noldo
4
ANN MACD S&P 500 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 example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 2 Hidden layer 2 nodes: 1 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Note : Thanks for dear wroclai for his great effort . Deep learning series will continue . Stay tuned! Regards.
Indicatore Pine Script®
di Noldo
1