AI

Noldo

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.

Noldo מעודכן 

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 license for this script because the fractal codes don't belong to me.You can use it for any purpose. This command can be a very helpful...

Noldo

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...

RicardoSantos Wizard מעודכן 

Library "MLActivationFunctions" Activation functions for Neural networks. binary_step(value) Basic threshold output classifier to activate/deactivate neuron.   Parameters:      value : float, value to process.   Returns: float linear(value) Input is the same as output.   Parameters:      value : float, value to process.   Returns: float sigmoid(value) ...

Noldo

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...

yuruko

Artificial Neural Network for BTC trend prediction with thresholds, not for trading purposes

RicardoSantos Wizard מעודכן 

Library "FunctionNNLayer" Generalized Neural Network Layer method. function(inputs, weights, n_nodes, activation_function, bias, alpha, scale) Generalized Layer.   Parameters:      inputs : float array, input values.      weights : float array, weight values.      n_nodes : int, number of nodes in layer.      activation_function : string, default='sigmoid',...

RicardoSantos Wizard

Library "FunctionNNPerceptron" Perceptron Function for Neural networks. function(inputs, weights, bias, activation_function, alpha, scale) generalized perceptron node for Neural Networks.   Parameters:      inputs : float array, the inputs of the perceptron.      weights : float array, the weights for inputs.      bias : float, default=1.0, the default bias...

RicardoSantos Wizard

Library "MLLossFunctions" Methods for Loss functions. mse(expects, predicts) Mean Squared Error (MSE) " MSE = 1/N * sum ((y - y')^2) ".   Parameters:      expects : float array, expected values.      predicts : float array, prediction values.   Returns: float binary_cross_entropy(expects, predicts) Binary Cross-Entropy Loss (log).   Parameters:     ...

Noldo מעודכן 

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...

Noldo

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...

Noldo

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...

Noldo

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...