Stock-Market-Recommendation-System | information system chosen for the project was a stock
kandi X-RAY | Stock-Market-Recommendation-System Summary
kandi X-RAY | Stock-Market-Recommendation-System Summary
Stock-Market-Recommendation-System is a Java library. Stock-Market-Recommendation-System has low support. However Stock-Market-Recommendation-System has 761 bugs, it has 9 vulnerabilities and it build file is not available. You can download it from GitHub.
The information system chosen for the project was a stock investment management website providing live prices, historical data, news articles, etc and also basic analysis and recommendations using data mining techniques. 1. Crawling and parsing Yahoo-Finance, Reuters and Twitter data (Java, twitter4j). 2. Web Interface using J2EE and Struts-2 framework. jQuery (highstocks lib) for showing technical charts. 3. Database integration, data cleaning, feature selection on the collected data and applying linear regression and classification algorithms : SVM, Naive Bayes to produce detailed analysis and recommendations.
The information system chosen for the project was a stock investment management website providing live prices, historical data, news articles, etc and also basic analysis and recommendations using data mining techniques. 1. Crawling and parsing Yahoo-Finance, Reuters and Twitter data (Java, twitter4j). 2. Web Interface using J2EE and Struts-2 framework. jQuery (highstocks lib) for showing technical charts. 3. Database integration, data cleaning, feature selection on the collected data and applying linear regression and classification algorithms : SVM, Naive Bayes to produce detailed analysis and recommendations.
Support
Quality
Security
License
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Support
Stock-Market-Recommendation-System has a low active ecosystem.
It has 31 star(s) with 19 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 1262 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Stock-Market-Recommendation-System is current.
Quality
Stock-Market-Recommendation-System has 761 bugs (22 blocker, 0 critical, 122 major, 617 minor) and 1178 code smells.
Security
Stock-Market-Recommendation-System has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Stock-Market-Recommendation-System code analysis shows 9 unresolved vulnerabilities (9 blocker, 0 critical, 0 major, 0 minor).
There are 0 security hotspots that need review.
License
Stock-Market-Recommendation-System does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Stock-Market-Recommendation-System releases are not available. You will need to build from source code and install.
Stock-Market-Recommendation-System has no build file. You will be need to create the build yourself to build the component from source.
Stock-Market-Recommendation-System saves you 12529 person hours of effort in developing the same functionality from scratch.
It has 25240 lines of code, 1404 functions and 297 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Stock-Market-Recommendation-System and discovered the below as its top functions. This is intended to give you an instant insight into Stock-Market-Recommendation-System implemented functionality, and help decide if they suit your requirements.
- Get authorisation
- Dump data to a file
- Dump data to file
- Gets the line from a string array
- Get list of tickers
- Get the tickers name from a company
- Get the list of company names
- Main entry point
- Get News articles
- Get the list of ticker files
- Convert a data chunk of data chunk into an ArrayList
- Get tokenized string from input string
- Get the company name for the ticker
- Get company name
- Get the data for the tickers
- Build the URL
- Gets the values from a string
- Renames a file with timestamp
- Gets the contents of the file as String list
- Creates the directory if it does not exist
- Creates the file if it does not exist
- Main method for testing
Get all kandi verified functions for this library.
Stock-Market-Recommendation-System Key Features
No Key Features are available at this moment for Stock-Market-Recommendation-System.
Stock-Market-Recommendation-System Examples and Code Snippets
No Code Snippets are available at this moment for Stock-Market-Recommendation-System.
Community Discussions
No Community Discussions are available at this moment for Stock-Market-Recommendation-System.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Stock-Market-Recommendation-System
You can download it from GitHub.
You can use Stock-Market-Recommendation-System like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Stock-Market-Recommendation-System component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use Stock-Market-Recommendation-System like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Stock-Market-Recommendation-System component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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