jimmyg1997 / NTUA-Multi-Criteria-Decision-AnalysisLinks
📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem
☆20Updated 5 years ago
Alternatives and similar repositories for NTUA-Multi-Criteria-Decision-Analysis
Users that are interested in NTUA-Multi-Criteria-Decision-Analysis are comparing it to the libraries listed below
Sorting:
- Detection of favorable moments in time series data☆35Updated 5 months ago
- ☆18Updated 3 years ago
- 📈Financial Markowitz Portfolio Optimization (Bonds, Stocks, Commodities), including classical Efficient Frontier, Utility Function etc.☆41Updated 5 years ago
- Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents☆23Updated 6 years ago
- A Python Wrapper for the Inform Information Analysis Library☆56Updated 6 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆80Updated 2 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Updated last year
- Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method☆42Updated 4 years ago
- Code examples for pyFTS☆52Updated 6 years ago
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆118Updated 3 years ago
- Time Alignment Measurement for Time Series☆29Updated 3 years ago
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆122Updated 4 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated 2 years ago
- Time series to visibility graphs.☆113Updated last week
- Calculate predictive causality between time series using information-theoretic techniques☆109Updated 4 years ago
- article feature extraction time series☆42Updated 6 years ago
- CNNpred: CNN-based stock market prediction using a diverse set of variables☆73Updated 5 years ago
- Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting☆22Updated last year
- ☆14Updated 5 years ago
- Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…☆22Updated last year
- Python Copula Module☆43Updated 3 years ago
- Example applications of path signatures☆41Updated 9 months ago
- Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization☆83Updated 2 years ago
- Higuchi Fractal Dimension (HFD) for 1D(time) series☆51Updated 2 years ago
- Code for: "A Generalised Signature Method for Time Series"☆65Updated 2 years ago
- Final project repo for UCLA CS 267A☆13Updated 5 years ago
- Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.☆67Updated last year
- A Python library for the fast symbolic approximation of time series☆49Updated 3 weeks ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 3 weeks ago
- Multivariate data modelling with Copulas in Python☆159Updated 11 months ago