Lines of products Buying and selling MATLAB

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In this webinar you will learn how MATLAB can be used to set up, analyze, and monitor a commodities trading workflow. This webinar is for financial professionals, quantitative analysts, traders, portfolio managers or energy traders whose focus is quantitative analysis, trading strategy development or commodity research.

Highlights include:
• Data gathering options, including daily historic and intraday data
• Trading strategy development in MATLAB
• Performing back-testing and walk-forward analysis
• Creating dynamic portfolio management strategies
• Interacting with real-time trading platforms

About the Presenter: Anshuman Mishra is a product marketing manager at The MathWorks. His prior experience includes the sell-side trading of FX derivatives as well as proprietary trading of equity index futures. Anshuman holds a B.Tech. and M.Tech. in Computer Science and Engineering from the Indian Institute of Technology, and an MBA from UNC Chapel Hill.

Electric bill Burden Predicting through Artificial Neural System in matlab

One day ahead electricity load forecasting in Matlab with the help of the Artificial neural network.

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Stock exchange prophecy technique | MATLAB | System Discovering | Instantaneous Statistics Breakdown

Hello friends today I’m going to show you how the stock market prediction system works and how machine learning helps you to get the exact estimation of the stock market.

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