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Loss Prevention System In Stock Market


  • Project Code :
  • TCMAJA50
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Loss Prevention system in stock market using Machine Learning


The Loss Prevention System is a comprehensive management system designed to prevent or reduce losses using behaviour-based tools and proven management techniques. Stock market decision making is a very challenging and difficult task of financial data prediction about stock market with high accuracy movement yield profit for investors of the stocks. Because of the complexity of stock market financial data, development of efficient models for prediction decision is very difficult and it must be accurate. Technical indicators are calculated from the stock prices based on time-line data and it is used as inputs of the proposed prediction models. Ten years of stock market data has been used for signal prediction of stock. Based on the data set, these models are capable to generate buy/hold signal for stock market as an output. The main goal of this project is to generate output signal(buy/hold) as per users requirement like amount to be invested, time duration for investment, minimum profit, maximum loss using data mining and machine learning techniques. The machine learning technique like Naive Bayes, k-Nearest Neighbour (k-NN), Support Vector Machine (SVM), Articial Neural Network (ANN) and Random Forest(RF) has been used for developing of prediction model.

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