Sentiment Score based Algorithmic Trading

Abstract

-Forex trading is one of the most volatile markets which basically depend on currency exchange. There are so many situations like disasters, political activities, etc. which affects the exchange rate of currency. Prediction of Price or Exchange rate can be done either via technical approach or fundamental approach, but there are some flaw exists in both the approaches, so we propose a sentiment scored based algorithmic approach which is a hybrid model that overcomes the shortcomings of existing approaches. The experimental results show that the proposed method gives the better accuracy as compare to traditional approaches.