Pinned Repositories
cohensKappa
Matlab function computes Cohen's kappa from observed categories and predicted categories
Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras
Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown
MRIqual
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
N-Back-for-Matlab
The classic dual n-back task implemented in Matlab; includes position, sound, and color options.
NIfTI-Studio
A toolbox for NIfTI and Analyze medical image visualization, editing, and 3D rendering
plot-corrmat
A Matlab utility for plotting correlation matrices, with similar appearance to Seaborn in Python.
portfolio_sharpe_ratio
This Matlab package optimizes portfolio weights based on Sharpe ratio, average total return, and volatility.
portfolio_sortino_ratio
This function optimizes portfolio weights based on a user-specified weighted linear combination of the Sortino ratio, Sharpe ratio, average total return, average downside risk, average standard deviation of returns, and max drawdown.
roi_overlap
Matlab function that calculates and outputs a table showing the percentage overlap between statistical clusters and brain atlas regions (AAL, Harvard-Oxford, Brodmann Areas)
selectFeatures
Improved sequential feature selection for linear or quadratic discriminant analysis.
elayden's Repositories
elayden/MRIqual
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
elayden/portfolio_sortino_ratio
This function optimizes portfolio weights based on a user-specified weighted linear combination of the Sortino ratio, Sharpe ratio, average total return, average downside risk, average standard deviation of returns, and max drawdown.
elayden/Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras
Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown
elayden/NIfTI-Studio
A toolbox for NIfTI and Analyze medical image visualization, editing, and 3D rendering
elayden/N-Back-for-Matlab
The classic dual n-back task implemented in Matlab; includes position, sound, and color options.
elayden/plot-corrmat
A Matlab utility for plotting correlation matrices, with similar appearance to Seaborn in Python.
elayden/portfolio_sharpe_ratio
This Matlab package optimizes portfolio weights based on Sharpe ratio, average total return, and volatility.
elayden/roi_overlap
Matlab function that calculates and outputs a table showing the percentage overlap between statistical clusters and brain atlas regions (AAL, Harvard-Oxford, Brodmann Areas)
elayden/cohensKappa
Matlab function computes Cohen's kappa from observed categories and predicted categories
elayden/selectFeatures
Improved sequential feature selection for linear or quadratic discriminant analysis.
elayden/fMRI-Preprocessing-with-Advanced-Normalization-Tools
A simple, customizable pipeline for preprocessing resting-state or task-based functional MRI data sets.
elayden/N-Back-MRI
The dual n-back task implemented in Matlab with precise timing for use within the MRI scanner.
elayden/elayden.github.io
Personal website
elayden/example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio