Stock-Predictor | Stock news on Twitter , performs sentiment analysis | Predictive Analytics library
kandi X-RAY | Stock-Predictor Summary
kandi X-RAY | Stock-Predictor Summary
Project that listens on a news source and makes a prediction on the sentiment. Based on the sentiment, allows one to make a decision. Once decision is made, the project allows one to go out to a historical ticker source to see if the action yielded any profits.
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Top functions reviewed by kandi - BETA
- Performs sentiment analysis
- Performs a sentiment analysis
- Get all data for a given symbol
- Fetch quote from Yahoo Finance
- Check if a tweet is a valid Tweet
- Get 50day Moving Average
- Get eitda symbol
- Returns the dividend per share per share
- Get dividend yield yield
- Return a list of annualnings per share
- Get 52 weeks high
- Get stock exchange
- Gets price growth growth ratio
- Get the volume for a symbol
- Get the average daily volume
- Get price for a symbol
- Get price sales ratio
- Get change for symbol
- Get the pricebook ratio for a symbol
- Get book value
- Get short ratio
- Returns the price for a symbol
Stock-Predictor Key Features
Stock-Predictor Examples and Code Snippets
Community Discussions
Trending Discussions on Stock-Predictor
QUESTION
I was trying to learn stock prediction with the help of this github project. but when I run the main.py
file given in the repository, via the cmd
. I encountered an error
ANSWER
Answered 2020-Dec-31 at 08:29The second item in the except
is an identifier used in the body of the exception to access the exception information. The try/except
syntax changed between Python 2 and Python 3 and your code is the Python 2 syntax.
Python 2 (language reference):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Stock-Predictor
You can use Stock-Predictor like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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