Trading View API and Prediction Using Deep Learning

Autor: K Yuvaraj, Dr. J. Sreerambabu, S Kalidasan
Rok vydání: 2022
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 10:978-981
ISSN: 2321-9653
Popis: Stock market may be a market that permits seamless exchange of shopping for and commercialism of company stocks. each stock market has their own index price. Index is that the average price that's calculated by combining many stocks. Everyday billions of bucks ar listed on the exchange, ANd behind every greenback is an capitalist hoping to profit in a method or another. Entire corporations rise and fall daily supported the behaviour of the market. ought to AN capitalist be able to accurately predict market movements, it offers a tantalizing guarantees of wealth and influence.This helps in representing the complete securities market and predicting the market’s movement over time. The Equity market will have a profound impact on folks and also the country’s economy as an entire. Therefore, predicting the stock trends in an efficient manner will minimize the danger of investment and maximize profit.In our paper, we tend to ar victimisation the statistic prognostication methodology for predicting and visualizing the predictions. Our focus for prediction are going to be supported the technical analysis victimisation historic knowledge and ARIMA Model. Autoregressive Integrated Moving Average (ARIMA) model has been used extensively within the field of finance and economic science because it is understood to be sturdy, economical and contains a robust potential for short share prediction
Databáze: OpenAIRE