Demonstrates building and validating a short term electricity load forecasting model with MATLAB. The models take into account multiple sources of information including temperatures
One of the more common trading strategies within the commodities trading community is trend following. Trend following is an absolute momentum strategy in that it assumes that a particular
Another popular form of trading strategy that is often employed by commodities traders and analysts is cross-sectional momentum, which seeks to measure and rank momentum across multiple
Demonstrates building and validating a short term electricity price forecasting model with MATLAB using Neural Networks. The models take into account multiple sources of information
It is often a good idea to verify the performance of a backtested trading strategy with a chunk of market data that it has previously not been tested on. At the beginning of this webinar, we had
We will be analysing data from a continuous process of electrolytic copper production at Boliden AB (Skelleftehamn, Sweden).
Importing data from a variety of sources and aligning / cleaning up the data consumes a significant portion of an analyst workflow. It can be challenging to align and synchronize data from
Once a trading strategy has been identified and refined by the analyst, the next steps in the workflow involve backtesting the strategy and generating multiple analytics to capture
Ideas for trading strategies can very often be generated by visual exploration of the price data. MATLAB's interactive plotting tools enable analysts to quickly visualize and explore
While backtesting a trading strategy, the analyst is often required to determine the optimal values of various strategy parameters and measure the sensitivity of the strategy's profits to
Demonstrates an alternate model for building relationships between historical weather and load data to build and test a short term load forecasting. The model used is a set of aggregated
Create a DatabaseDatastore object and analyze large data using a tall table. This example determines the minimum arrival delay using a large set of flight data that is stored in a database.
Analyze large data sets that are stored in a database. You can access large data sets using a DatabaseDatastore object with Database Toolbox™. After creating a DatabaseDatastore object,
Search a social neighborhood to find the second-degree friends of a person, using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j® database which
Analyze dependencies among services in a network using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j® database which represents a network. This
Search a social neighborhood to find the shortest path between people, using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j® database which
Import data into MATLAB® using a DatabaseDatastore object. To access collections of data stored in a relational database, you can use a DatabaseDatastore object. After creating a
Move data between MATLAB® and the MATLAB® interface to SQLite. Suppose that you have product data that you want to import into MATLAB®. You can load this data quickly into a SQLite database
Illustrates how to set the width of the page margins of a Microsoft Word report.
Illustrates a functional approach to creating a report with template-based report (DOM) objects. This approach uses a MATLAB function to generate a report. It contrasts with an
Illustrates an object-oriented approach for creating reports with template-based (DOM) report objects. With this approach, you derive a report class from mlreportgen.dom.Document or
The DOM API supports, but does not require, use of templates to generate reports. As this example illustrates, you can use the API to create scripts that generate and format content without
Use MATLAB® Report Generator™ to perform an XML comparison of two XML text files, and view the differences in the resulting report.
The PPT API does require the use of templates to generate presentations. As this example illustrates, you can use the API to create scripts that generate PowerPoint presentations from