Author : Mayuri Patil 1
Date of Publication :13th March 2018
Abstract: Past database of financial market prices are used to forecast the trend of prospect prices. The developed financial entity technical patterns that contain a permutation of indicators from historical economic data series. Calculation of technical indicators is done based on historical data. The take price forecast system uses a descriptive two-step reasoning approach. This work inventively put forward the use of biclustering mining to determine out patterns are regarded as trading rules and can be categorized as three trading actions (Buy, Sell and No Action) based on support value. K nearest neighborhood (K-NN) procedure (Updated Version) for categorization is applied to trading days in the testing period. Our work offers a practical and efficient algorithm and mathematical system for determining a trading rule which can be used to take informed decision while trading
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