Stock-Analysis | Regression , Scrapers , and Visualization | Business library
kandi X-RAY | Stock-Analysis Summary
kandi X-RAY | Stock-Analysis Summary
Stock-Analysis is a Jupyter Notebook library typically used in Web Site, Business applications. Stock-Analysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
This repository contains python scripts that I am devleoping to perform analysis on stock prices and visualization of stock prices and other data such as volume.
This repository contains python scripts that I am devleoping to perform analysis on stock prices and visualization of stock prices and other data such as volume.
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Quality
Security
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Support
Stock-Analysis has a low active ecosystem.
It has 299 star(s) with 88 fork(s). There are 28 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 9 have been closed. On average issues are closed in 161 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Stock-Analysis is 1.0.0
Quality
Stock-Analysis has 0 bugs and 0 code smells.
Security
Stock-Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Stock-Analysis code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Stock-Analysis is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Stock-Analysis releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Stock-Analysis and discovered the below as its top functions. This is intended to give you an instant insight into Stock-Analysis implemented functionality, and help decide if they suit your requirements.
- Get all headlines for a given ticker
- Get the list of headline lines for a given ticker
- Extract headline timestamp
- Moving average convergence
- Calculate the moving average
- Add a MACD to a DataFrame
- Macroshed Moving Average
- Get data for all tickers
- Returns a list of all the tweets for the given ticker
- Download SSentiment RSS feed
- Return a list of links to the RSS feed
- Remove all tweets that are older than age_limit
- Determine the moving average Moving Average
- Calculate moving average
- Get stock data for a given ticker
- Get input from user input
- Print out the key stats
- Finds all stops in a window
- Calculate relative strength
- Write data to file
- Read tickers from input file
- Compute sentiment score for a list of sentences
- Plot trendline segments
- Generate trend lines
- Dump data to file
Get all kandi verified functions for this library.
Stock-Analysis Key Features
No Key Features are available at this moment for Stock-Analysis.
Stock-Analysis Examples and Code Snippets
No Code Snippets are available at this moment for Stock-Analysis.
Community Discussions
Trending Discussions on Stock-Analysis
QUESTION
Python instance attribute assignment in class created using @dataclass
Asked 2020-Sep-28 at 14:24
I have just started using @dataclass decorator. This is my without dataclass implementation
...ANSWER
Answered 2020-Sep-28 at 14:24If you want to include data
as a field, you can initialize it with field(init=False)
to indicate that it's value is not an argument to __init__
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Stock-Analysis
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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