Complete Matlab courses including:
Matlab Econometrics Toolbox, Matlab Financial Toolbox, Matlab Toolboxes: Signal Processing, Stats, Math, Matlab Toolboxes: System Identification, Wavelet, Optimize, Curve Fitting, Matlab Strategy Development Demos and Researching WIth Simuilink
Price: $277.00
Price: $137.00
All course details below:
Matlab Econometrics Toolbox Course
Matlab Econometrics Toolbox
Matlab Econometrics Toolbox
Module 1 | Econometrics Toolbox |
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Econometrics Toolbox | |
Unit 1 | Algo course conclusion |
Unit 2 | Comparing GARCH fits in Matlab |
Unit 3 | Comparing GARCH fits in Matlab |
Unit 4 | Demo of complete GARCH workflow in estimation, forecasting, simulation, and analysis |
Unit 5 | Demo of random walk in Matlab |
Unit 6 | Estimating GARCH parameters in Matlab |
Unit 7 | Forecast Conditional Mean Response using ARIMA |
Unit 8 | Model construction with GARCH in Matlab |
Unit 9 | Using regression demo for fine tuning your estimating the markets |
Unit 10 | Comparing various GARCH parameters in Matlab |
Unit 11 | Demo of Unit Root testing for stationary time series in Matlab |
Unit 12 | Financial time series GUI tool client demo |
Unit 13 | How to infer residuals with GARCH or ARMAX in Matlab |
Unit 14 | Volatility Simulation with GARCH in Matlab |
Unit 15 | Here is an introductory video to how the R source code walkthroughs will work |
Unit 16 | Model section using GARCH / ARMAX in Matlab |
Unit 17 | Calculate max drawdown and expected max drawdown |
Matlab Financial Toolbox Course
Matlab Financial Toolbox
Matlab Financial Toolbox
Module 1 | Financial Toolbox |
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Financial Toolbox | |
Unit 1 | High Low Close and Bollinger Chart Demo |
Unit 2 | Matlab code model walkthrough demo of Mean Reverting, Maximum Likelihood,Ordinary Least Squares, Simple Regression, Greek Analysis |
Unit 3 | Performance metrics with Sharpe Ratio, risk adjusted return, Lower Partial Moments |
Unit 4 | Using ARMA in Matlab |
Unit 5 | Using regression demo for fine tuning your estimating the markets |
Unit 6 | Technical analysis demo with RSI, MACD, Williams %R, OBV |
Unit 7 | Time series demo with Matlab Finance Toolbox |
Unit 8 | Visual financial time series |
Matlab Toolboxes: Signal Processing, Stats, Math Course
Matlab Toolboxes: Signal Processing, Stats, Math
Matlab Toolboxes: Signal Processing, Stats, Math
Module 1 | Signal Processing Toolbox |
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Signal Processing Toolbox | |
Unit 1 | Anti-Causal, Zero-Phase Filter Implementation from Matlab Signal Processing |
Unit 2 | Cross correlation from signal processing toolbox |
Module 2 | Stats Toolbox |
Stats Toolbox | |
Unit 1 | Fitting copulas to data |
Unit 2 | ANOVA |
Unit 3 | MANOVA |
Unit 4 | Analysis of covariance tool |
Unit 5 | Cumulative density function with parametric and esimtating empirical cdf |
Unit 6 | Demo of dfittool for distribution fit GUI tool |
Unit 7 | Types of distributions |
Unit 8 | K Means Clustering |
Unit 9 | Markov Chains |
Unit 10 | Portable density function estimating with parameters or no paramaters |
Unit 11 | Princinple Component Analysis |
Module 3 | Math Toolbox |
Math Toolbox | |
Unit 1 | Summation (sum) Matlab sample code |
Unit 2 | Using eigenvector decomposition using eigenvalues or eigenvector |
Unit 3 | Factorization with Cholesky, LU, and DR |
Unit 4 | Fast Fourier Transform with Example of Basic Spectral Analysis |
Unit 5 | Interpolation |
Unit 6 | Ordinary Differential Equations with Single PDE and System of PDEs |
Matlab Toolboxes: System Identification, Wavelet, Optimize, Curve Fitting Course
Matlab Toolboxes: System Identification, Wavelet, Optimize, Curve Fitting
Matlab Toolboxes: System Identification, Wavelet, Optimize, Curve Fitting
Module 1 | Wavelet Toolbox |
---|---|
Wavelet Toolbox | |
Unit 1 | Fractional Brownian Motion Synthesis Using the Command Line |
Unit 2 | Multiple PCA |
Module 2 | Optimize Toolbox |
Optimize Toolbox | |
Unit 1 | Call a nonlinear minimization routine with a xstart |
Unit 2 | Call a nonlinear minimization routine with a xstart |
Module 3 | Curve Fitting Toolbox |
Curve Fitting Toolbox | |
Unit 1 | Using Splines |
Unit 2 | Curve fitting tool demo with analysis, plots, and code generation |
Unit 3 | Various programming curve fitting examples |
Unit 4 | curve fitting tool demo with exclusion and section data |
Unit 5 | Curve fitting tool demo with smoothing |
Unit 6 | Programmatic curve fit demo |
Unit 7 | Rational fit demo |
Unit 8 | Surface fit tool demo |
Unit 9 | Curve Fitting by Optimization |
Module 4 | System Identification Toolbox |
System Identification Toolbox | |
Unit 1 | Constructing an iddata Object for Time-Domain Data |
Unit 2 | Estimate Nonlinear ARX Models |
Unit 3 | Refining an Initial ARMAX Model at the Command Line |
Unit 4 | Resampling Data Without Aliasing Effects |
Unit 5 | Custom regressors |
Unit 6 | Identifying Time-Series Models and Predicting a Time Series |
Unit 7 | Simulating a Continuous-Time State-Space Model at the Command Line |
Buy Matlab Strategy Development Demos and Researching With Simulink Course
Matlab Strategy Development Demos and Researching WIth Simuilink
Matlab Strategy Development Demos and Researching With Simuilink
Code generation demos to C or C++ demos included
NOTE: This requires a further QuantLabs.net Premium Membership for link references http://quantlabs.net/membership.htm
Module 1 | Matlab Development Module |
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Matlab Development Module | |
Unit 1 | Matlab Code Walkthru with Bayesian Analysis for a Logistic Regression Model |
Unit 2 | Demo of Matlab M Code Generation to CPP with Moving Average Algorithm with source code,video of Excel import of market data |
Unit 3 | How to import forex pair into Matlab workspace using Excel IQFeed and QCcollector |
Unit 4 | Video Walkthrough of first Matlab Simulink model with Stateflow and C++ Code Generation |
Unit 5 | Important examples of .NET C# testing examples to call Simulink code generated |