This indicator inputs the previous 150 closing prices in a simple two-layer neural network, normalizes the network inputs using a sigmoid function, uses a feedforward calculation to send it to the second layer, shows the MSE loss curve and uses both automatic and manual backpropagation (user input) to find the most likely forecast values and uses the analog...
Neural Network Synthesis - Trend and Valuation Introduction The Neural Network Synthesis (𝓝𝓝𝒮𝔂𝓷𝓽𝓱) indicator is an innovative technical analysis tool which leverages neural network concepts to synthesize market trend and valuation insights. This indicator uses a bespoke neural network model to process various technical indicator inputs, providing an improved...
Simple Neural Network Transformed RSI Introduction The Simple Neural Network Transformed RSI (ɴɴᴛ ʀsɪ) stands out as a formidable tool for traders who specialize in lower timeframe trading. It is an innovative enhancement of the traditional RSI readings with simple neural network smoothing techniques. This unique blend results in fairly accurate signals,...
Introduction Esqvair's Neural Reversal Probability Indicator is the indicator that shows probability of reversal. Warning: This script should only be used on 1 minute chart. How to use When a signal appears (by default it is a green bar), a reversal should be expected. The signal appears when the indicator value >= Threshold. If you want more signals, you must...
This study is based on several Price Action parameters of :- • Candle Pattern, • Supply Demands, • Support and Resistance , • Breakouts, • Trend Series Forecasting, • Average true Range, • Neural Smoothing With Alpha, Beta Calculations for Filtering wrong trend breakouts. ► How To Use This Study ? • This Study is for positional trading. • Buy Whenever a GREEN Up...
Hello, this script consists of training candlesticks with Artificial Neural Networks (ANN). In addition to the first series, candlesticks' bodies and wicks were also introduced as training inputs. The inputs are individually trained to find the relationship between the subsequent historical value of all candlestick values 1.(High,Low,Close,Open) The outputs...
Hi, this is the MACD version of the ANN BTC Multi Timeframe Script. The MACD Periods were approximated to the Golden Cross values. MACD Lengths : Signal Length = 25 Fast Length = 50 Slow Length = 200 Regards.
Hi all, this script was created as a result of ANN training in all time frames of bitcoin data. Trained data is built on Chris Moody's Sling Shot system. CM Sling Shot System : This system automatically generates the ANN output for all time periods. Therefore, it has multi-time-frame feature. Artificial Neural Networks training details: Average Errors...
Hello , this script is the ANN Forecast version of my "Dependent Variable Odd Generator " script. I went to simplify a bit because the deep learning calculations are too much for this command. The latest instruments included: WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593 BRENT : Brent Crude Oil ( BCOUSD , UKOIL , BB1! )...
NOTE: Experimental. Pinescript implementation of Decimal to Binary and Binary to Decimal that is intended for use in the development of a neural network proof of concept. Intended for use in as subcomponent in the development of a more complex/highly experimental prototype. Protection/logic for edge cases above 11111111/255 (8bits) is NOT implemented. ...
In this script, I tried to integrate ANN Forecast Algorithm on Stochastic Oscillator. It took me quite a while, but i guess it worth. After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast Stoch system. The system is trained with ANN values of ANN MACD 25 in 1. The Forecast algorithm is...
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...
In 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...
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...
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...
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...
This is a fractal version of my deep learning script for SPY In addition, buy and sell conditions may appear in bar colors in green and red. You can choose from the menu if you wish. Fractal codes do not belong to me. So I didn't put any license. You can use it as you want, you can change and modify. Regards.Noldo