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Judul : Machine Learning Projects using Python #4.! Programming World
link : Machine Learning Projects using Python #4.! Programming World

Machine Learning Projects using Python #4.! Programming World

Section 4: Forecasting the Stock Market with Machine Learning

4.1 What Does Research Tell Us about the Stock Market?

Research is the most important thing before we start working on designing a strategy.

·         Study the market and understand it.

·         Understand different forms of the market.

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4.2 Developing a Trading Strategy

Once you have studied the various aspects of the market, it is time to develop a trading strategy. You will learn it in this video.

·         Read and plot data.

·         Pull data for various statistical values.

·         Extend the time span.

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4.3 Building a Model and Evaluating Its Performance

Now that we have our baseline, we will build our first regression model for prediction of stocks.

·         Set up a dataframe. Import SVM and set training and testing datasets.

·         Fit the model. Compare with the actual data.

·         Evaluate the performance by adjusting the different parameters till the desired result is met.

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4.4 Modeling with Dynamic Time Warping

Another algorithm to work with is dynamic time warping. It provides us a metric which will inform us about the similarity between two time series.

·         Calculate the distance between two time series.

·         Compare a series against all other series and infer.

·         Evaluate trades.

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Section 5

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