The indian stock market is highly volatile and complex by nature. However, notion of price predictability typical, many researchers suggest that the Buy & Sell prices are predictable investor can make above-average profits using efficient Technical Analysis (TA).Most earlier prediction models predict individual stocks results mostly influenced company’s reputation, news, sentiments other fu...

The price of a stock in the market can be influenced by many factors, out which sentiment investors plays vital role. Most often, depends on news headlines. Therefore, headlines also play an important role fluctuation index. This paper uses combination Bidirectional Encoder Representations from Transformers (BERT) and Gated Recurrent Unit (BiGRU) algorithms for prediction scores based national ...

We explored the application of a machine learning method, Logitboost, to automatically calibrate a trading model using different versions of the same technical analysis indicators. This approach takes advantage of boosting’s feature selection capability to select an optimal combination of technical indicators and design a new set of trading rules. We tested this approach with high frequency dat...

Evaluating the performance of supply chains is a difficult task due to the complexity inherent to the size and the structure of the supply chain. This paper presents a framework for evaluating and providing approximate dimensioning for supply chains. The framework is based on Data Envelopment Analysis (DEA) as a dynamic tool for measuring the relative technical, pure technical and scale efficie...