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Journal of Stock & Forex Trading

Journal of Stock & Forex Trading
Open Access

ISSN: 2168-9458

+1-504-608-2390

Sarala Sewwandi Kumarage

Department of Information Technology, Sri Lanka Institute of Information Technology Malabe, Sri Lanka

Publications
  • Research Article   
    Forerunne Fault Tolerant Intelligent Indicator Based Forex Forecasting System
    Author(s): Sarala Sewwandi Kumarage*

    Knowledge of the current situation of the currency market in terms of the relative strength of the buyers and sellers is essential to make a good trading decision. It is advisable to buy the currency pairs if the buyers are high in the market. If the sellers dominate the market it is recommended to sell the currency pairs. There is already existing indicator known as Relative Strength Indicator which was developed by J. Welles Wilder. The mentioned indicator shows a figure called relative strength index calculated using the average gain and average loss during a given time period relative to a particular timeframe. Existing indicators calculate the RSI value with some time lag. Purpose of this study is to come up with a forecasting system to support manual currency trading with RSI indicator with a solution to the time lag of the existing indicator. RSI value also gives an idea about .. Read More»

    Abstract PDF

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