ml

mablue

I changed MACD formula to divergence of (MA26/MA12 - 1). And its make it more useful. Cuz: 1) comparability with all other coins with different prices. 2) fix small numbers in low price coines like shiba 3) making a good indicator like RSI to use it for optimization and ML/AI projects as a variable Most important thing about this indicator is that its...

RicardoSantos Wizard מעודכן 

Library "WIPNNetwork" this is a work in progress (WIP) and prone to have some errors, so use at your own risk... let me know if you find any issues.. Method for a generalized Neural Network. network(x) Generalized Neural Network Method.   Parameters:      x : TODO: add parameter x description here   Returns: TODO: add what function returns

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 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) ...

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:     ...

gravisxv מעודכן 

Gm traders, i have been a python programmer for some years studying artificial intelligence for general purpose; after some time i finally decided to have a look at some finance related stuff and scripts. Moved by curiosity i've decided to make some but decisive modifications to a script i tried to use initially but without success: the LVQ machine learning...

Noldo מעודכן 

Hi, this script comes from the idea that Ricardo Santos' Minkovski Distance Function is transferred to the period as a factor. Minkowski distance is used as a percentage factor with the help of Relative Strength Index function. Minkowski Distance Function Script : And thus an adaptive MACD was created. This script can give much better results in more...

Noldo

This script is the my Dependent Variable Odd Generator script : with the Put / Call Ratio ( PCR ) appended, only for CBOE and the instruments connected to it. For CBOE this script is more accurate and faster than Dependent Variable Odd Generator. And the stagnant market odds are better and more realistic. Do not use for timeframe periods less than 1 day. Because...