This application note addresses the design and implementation of a web-based RDBMS menu driven information system to provide the exhaustive information on existing farming systems prevailing in different Agro Climatic Zones in India (14) (29 centres across the country, India) . information system also recommends the required technological interve...
 Stock marketplace is a complicated and demanding system in which people make more money or lose their entire savings. The stock market prediction having high accuracy yields more profit for stock investors. Stock market data is generated in a very large amount and it varies quickly every second. The decision making in stock marketplace is a very ...
 predicting stock market is one of the challenging tasks in the field of computation. Physical vs. physiological elements, rational vs. illogical conduct, investor emotions, market rumors, and other factors all play a role in the prediction. All of these factors combine to make stock values very fluctuating and difficult to forecast accurately. ...
 Our project is a website in which the clients can view the future market status of the shares and also they can view the track records of various companies’ shares. According to the market status the share values are updated frequently. After login into the system they can view and access the details of the shares. In this system we are getting the...
 This paper studied the perception of people in Faridabad city towards the online trading system of Indian Stock market. Indian Stock market a wide place for investments and earnings. But in past time, there was nothing about the electronic trade which resulted the high profile scandals which destroyed the whole society faith. By the time technology...
 Real-time forecasting of the financial time-series data is challenging for many machine learning (ML) algorithms. First, many ML models operate offline, where they need a batch of data, which may not be available during training. Besides, due to a fixed architecture of the majority of the offline-based ML models, they suffer to deal with the uncert...

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