ai-market-prediction
This project involves building a model to analyze financial news, social media posts, and earnings calls to gauge the sentiment around specific stocks or the overall market
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
Repository
This project involves building a model to analyze financial news, social media posts, and earnings calls to gauge the sentiment around specific stocks or the overall market
Basic Info
- Host: GitHub
- Owner: Akansha24Singh
- License: mit
- Language: Python
- Default Branch: main
- Size: 36.6 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
Contributing
License
Code of conduct
Citation
Owner
- Login: Akansha24Singh
- Kind: user
- Repositories: 1
- Profile: https://github.com/Akansha24Singh
GitHub Events
Total
- Push event: 3
- Create event: 2
Last Year
- Push event: 3
- Create event: 2
Dependencies
requirements.txt
pypi
- alpha_vantage ==2.3.1
- flask *
- gunicorn *
- keras *
- matplotlib *
- nltk ==3.5
- numpy *
- pandas *
- scikit_learn *
- seaborn ==0.11.1
- statsmodels *
- streamlit ==0.52.1
- tensorflow *
- textblob ==0.15.3
- tweepy *
- yfinance *