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Stock Market Prediction Using Data Science

I hope you liked this article on more. The concept of reinforcement learning can be applied to the stock price prediction for a specific stock as it uses the same fundamentals of requiring lesser historical data working in an agent-based system to predict higher returns based on the current environment.

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The basic assumption behind the univariate prediction approach is that the value of a time-series at time-step t is closely related to the values at the previous time-steps t-1 t-2 t-3 and so on.

Stock market prediction using data science. In this article I will introduce you to more than 180 data science and machine learning projects solved and explained using the Python programming language. How can we predict stock market prices using reinforcement learning. Univariate time-series data as the name suggests focuses on a single dependent variable.

Computer Science Volume 6838 pp 1-8. Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange.

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