International Stock Index Prediction Using Artificial Neural Network (ANN) and Python Programming

Ashkan Safari · Amir Aminzadeh Ghavifekr

30 citations0/0 files storedInternational Conference on Control, Instrumentation, and Automation

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Stock Market Forecasting Methods Forecasting Techniques and Applications Hydrological Forecasting Using AI

Abstract

The stock market is one of the best channels for financial development that requires a high accuracy prediction of the trades. This subject needs some technical skills and experience to achieve the best result. This paper represents a tuned Python console program based on the Neural Network (NN), and the Artificial Intelligence (AI) to predict future price in a qualified and quantized way with high accuracy and close to real. New ideas implemented in this paper are combining AI and NN model in the Python console system with a security shell that works with voice and PIN to authenticate the user. It has Cross-Platform capability and supports cryptocurrencies price and their predictions. This program enables the user to have a duplication of the final data in his/her given email. The proposed approach presents the influence of AI and Machine learning in nearly future predictions. This system can be used in the all kinds of subjects that include past time databases.

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2020Stock Closing Price Prediction using Machine Learning Techniques 2020Stock Market Prediction Using LSTM Recurrent Neural Network 2020An optimized model using LSTM network for demand forecasting 2019Prediction of Stock Price Based on LSTM Neural Network 2016Stock market prediction using an improved training algorithm of neural network 2019Research on Stock Price Prediction Method Based on Convolutional Neural Network 2018Stock Market Prediction based on Social Sentiments using Machine Learning

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