Predicting Market Performance Using Machine and Deep Learning Techniques

 Today, forecasting the stock market has been one of the most challenging issues for the ‘‘artificial intelligence’’ AI research community. Stock market investment methods are sophisticated and rely on analyzing massive volumes of data. In recent years, machine-learning techniques have come under increasing scrutiny to assess and improve market pred...

Predicting Market Performance Deep Learning Stock Market Prediction Predicting Economic Trends Forecasting Stock Market Prices

DESIGN AND IMPLEMENTATION OF A WEB-BASED SYSTEM THAT WILL LINK FARMERS TO BUYERS

 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...

FARMERS TO BUYERS Online Agriculture Sales management farmers to sell directly farmers to connect with buyers buy from local farmers

Analysis of Stock Market Prediction

 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 ...

Stock Market Stock Market Prediction Long Short Term Memory Convolution Neural Networks Mean Absolute Error

Stock price movement prediction based on the historical data using machine learning

 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. ...

LSTM Machine learning (ML) Long Short-Term Memory (LSTM) Random Forest Regressor model Recurrent Neural Network

Online share trading system

 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...

Online share market budget analysis system

 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...

Multi objective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online

 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...