StockPredict | Stock Forecasting System | Business library

by fwchen JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | StockPredict Summary

StockPredict is a JavaScript library typically used in Web Site, Business, Tensorflow applications. StockPredict has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

#Stock trend prediction system 这是一个股票趋势预测系统，前后端分离架构。. ########(The front is very simple).

Support

Quality

Security

License

Reuse

Support

StockPredict has a low active ecosystem.

It has 18 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

StockPredict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of StockPredict is current.

Quality

StockPredict has 0 bugs and 0 code smells.

Security

StockPredict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

StockPredict code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

StockPredict 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

StockPredict releases are not available. You will need to build from source code and install.

StockPredict saves you 1535 person hours of effort in developing the same functionality from scratch.

It has 3418 lines of code, 30 functions and 88 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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StockPredict Key Features

No Key Features are available at this moment for StockPredict.

StockPredict Examples and Code Snippets

No Code Snippets are available at this moment for StockPredict.

Community Discussions

Trending Discussions on StockPredict

Ajax sending data twice in views.py django

Wrong redirection of url in django

Java.lang.ClassnotfoundException hadoop

QUESTION

Ajax sending data twice in views.py django

Asked 2020-Jun-18 at 19:44

I have this form in index.html and two submit button on clicking on one button named .graph-btn I m using jquery and ajax to send data from form to Django.

Code: index.html

...

ANSWER

Answered 2020-Jun-18 at 19:44

you shoudn't use jquery class selector. use id selector(“#id”). Now it happens because you have more then one button with 'graph-btn' class. Just assign IDs to your buttons in for loop ( {% for a,b in stocks %})

Source https://stackoverflow.com/questions/62457035

QUESTION

Wrong redirection of url in django

Asked 2020-Jun-18 at 16:41

Updated Question:

Wrong redirection of URL in Django. I have this:

views.py.

...

ANSWER

Answered 2020-Jun-17 at 11:23

You should use ajax request:

Source https://stackoverflow.com/questions/62427607

QUESTION

Java.lang.ClassnotfoundException hadoop

Asked 2020-Feb-10 at 08:07

I am new to hadoop and mapreduce programming. I have written a program to calculate the average value. I prepared a jar file in /home/cloudera. I have created a folder to give inputs and outputs to program in /home/cloudera/StockPrediction/input/ and /home/cloudera/StockPrediction/output. My code is:

...

ANSWER

Answered 2020-Feb-10 at 08:07

You haven't specified the main class after JAR name
Try this command:
hadoop jar /home/cloudera/average.jar mainpackage.MainFile /home/cloudera/StockPrediction/input/qualcomm.csv /home/cloudera/StockPrediction/output/qualcomm

Source https://stackoverflow.com/questions/60143459

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install StockPredict

You can download it from GitHub.

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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