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Stock Price Movement Prediction Using Machine
Abstract: Stock Price Prediction using machine learning is the process of predicting the future value of a stock traded on a stock exchange for reaping profits. With multiple factors involved in predicting stock prices, it is challenging to predict stock prices with high accuracy, and this is where machine learning plays a vital role. Market prediction offers great profit avenues and is a fundamental stimulus for most researchers in this area. To predict the market, most researchers use either technical or fundamental analysis. Technical analysis focuses on analyzing the direction of prices to predict future prices, while fundamental analysis depends on analyzing unstructured textual information like financial news and earning reports. More and more valuable market information has now become publicly available online. This draws a picture of the significance of text mining strategies to extract significant information to analyze market behavior. While many papers reviewed the prediction techniques based on technical analysis methods, the papers that concentrate on the use of text mining methods were scarce. Many researchers believe that technical analysis approaches can predict the stock market movement. In general, these researches did not get high prediction results as they depend heavily on structured data neglecting an important source of information that is the online financial news and social media sentiments. These days more and more critical information about the stock market has become available on the Web.
Notices, Deadlines & Correspondence
Patent Information
Applicants
Jagadisha
KLS Gogte Institute of Technology, Belagavi
Inventors
1. Dr Jagadisha N
2. Dr. RANJANA BATTUR
Specification
Description:Implementation is the most important and final stage of software development that must be
completed. Accepting specific requirements or computations, as well as converting it into a
framework, programme, or product segment with the assistance of computer programming and
sending it into nature where it was intended to work, are all examples of usage.
Technical analysis focuses on analyzing historical stock prices to predict future stock values that
is it focuses on the direction of prices. On the other hand, fundamental analysis relies mostly on
analyzing unstructured textual information like financial news and earning reports. With the
introduction of artificial intelligence and increased computational capabilities, programmed
methods of prediction have proved to be more efficient in predicting stock prices. In this work,
Artificial Neural Network and Random Forest techniques have been utilized for predicting the next
day closing price for five companies belonging to different sectors of operation. The financial data:
Open, High, Low and Close prices of stock are used for creating new variables which are used as
inputs to the model. Stock price movement prediction is a popular and challenging problem in the
field of finance. Machine learning techniques can be used to analyze historical stock data and
identify patterns and trends that can be used to predict future stock prices. In this project, we will
explore how machine learning algorithms can be used to predict stock prices and evaluate the
accuracy of the predictions. We will use various data sources and feature engineering techniques
to build predictive models and compare their performance. This project aims to provide insights
into the effectiveness of machine learning for stock price prediction and its potential applications
in the financial industry. , Claims:. To provide future stock price values for the users.
2. User will be able to choose the stocks of their desire which will be trained.
3. With this the investors will have an idea on what his next step would be
Documents
Application Documents
| # | Name | Date |
|---|---|---|
| 1 | 202441003274-STATEMENT OF UNDERTAKING (FORM 3) [17-01-2024(online)].pdf | 2024-01-17 |
| 2 | 202441003274-REQUEST FOR EARLY PUBLICATION(FORM-9) [17-01-2024(online)].pdf | 2024-01-17 |
| 3 | 202441003274-FORM 1 [17-01-2024(online)].pdf | 2024-01-17 |
| 4 | 202441003274-FIGURE OF ABSTRACT [17-01-2024(online)].pdf | 2024-01-17 |
| 5 | 202441003274-DRAWINGS [17-01-2024(online)].pdf | 2024-01-17 |
| 6 | 202441003274-DECLARATION OF INVENTORSHIP (FORM 5) [17-01-2024(online)].pdf | 2024-01-17 |
| 7 | 202441003274-COMPLETE SPECIFICATION [17-01-2024(online)].pdf | 2024-01-17 |