https://github.com/semaaJ/TwitterStockMonitor

https://github.com/semaaJ/TwitterStockMonitor

Last synced: 14 days ago
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• Host: GitHub
• URL: https://github.com/semaaJ/TwitterStockMonitor
• Owner: semaaJ
• Created: 2017-01-12T20:55:03.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2022-07-03T22:00:39.000Z (over 2 years ago)
• Last Synced: 2024-08-01T06:21:42.761Z (3 months ago)
• Language: Python
• Homepage:
• Size: 418 KB
• Stars: 255
• Watchers: 18
• Forks: 38
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# TwitterStockMonitor

This project originally started when I noticed that if Trump mentioned a company within his tweets, their shares would either go up in price if the tweet was positive or drop if the tweet was negative. I decided to make a script to follow Trump and monitor the companies that he mentioned over a week, to see how the tweet affected the price of the company's shares. I have updated this to make it usable for multiple Twitter accounts at the same time. 

## Requirements

For this you will need:

- 

- Pinance

- Tweepy

- NLTK

These can be installed via:

```

pip install pinance

pip install tweepy

pip install nltk

```

## Setup

- You must first set up a [Twitter APP](https://themepacific.com/how-to-generate-api-key-consumer-token-access-key-for-twitter-oauth/994/)

- You need to set up an email and make sure that your account allows [less secure apps](https://support.google.com/accounts/answer/6010255?hl=en)

- Input this data into the config file with your keys and email info like so:

![Config setup](http://i.imgur.com/TBxSICC.png "") 

This is still being updated.