Added Financial Market Trend Prediction article

[MaximSaveliev]

No description provided.

[eduard-balamatiuc]

ai-reviewer have a look

[github-actions]

🤖 AI Reviewer activated! Starting article review process...

[github-actions]

🤖 AI Article Review

📝 Needs improvement before publication.

Overall Score: 4.5/10

📄 Files Reviewed: 10
⏰ Review Completed: 2025-06-11T17:08:45Z

Summary

Score: 4.5/10
Reviewed 10 files. Individual scores: README.md: 7/10, .gitignore: 3/10, package-lock.json: 2/10, package.json: 5/10, test.json: 2/10, tweetScraper.js: 6/10, date_sentiment.csv: 2/10, stock_price_prediction.ipynb: 6/10, tweets_collection.ipynb: 6/10, utils.py: 6/10

💡 Key Suggestions

1. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/README.md: Remove inline styles and use markdown or CSS for consistent formatting.
2. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/README.md: Include more detailed explanations of the financial data used and its integration with the models.
3. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/README.md: Provide references to recent studies or real-world applications of transformers and LSTM in financial markets.
4. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/.gitignore: Provide a clear introduction explaining the relevance of .gitignore files in AI/ML projects.
5. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/.gitignore: Include sections discussing the use of transformers and LSTM models in financial market trend prediction.
6. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/.gitignore: Add practical examples and explanations of how these models can be implemented and their benefits.
7. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/package-lock.json: Replace the package-lock.json file with a well-written article discussing the use of Transformers and LSTM for financial market trend prediction.
8. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/package-lock.json: Include sections that explain the concepts of Transformers and LSTM, their advantages, and how they can be applied to financial data.
9. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/package-lock.json: Provide practical examples or case studies to illustrate the application of these technologies in financial markets.
10. article-harnessing_transformers_and_LSTM_for_financial_market_trend_prediction/Twitter Scraper/package.json: Provide a detailed explanation of how the listed dependencies are used in the context of financial market trend prediction.

🔍 Technical Accuracy Notes

Multi-file review completed for 10 articles.

---

This review was generated by AI. Please use it as guidance alongside human review.

Review requested via comment by @eduard-balamatiuc

@eduard-balamatiuc - Your article review is complete (4.5/10). The article needs significant improvements before publication. Please review the feedback carefully. 📝⚠️