Create README.md

Author: Archi20876

Data Analysis/Daily News and Stock Data Analysis/README.md

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+# Daily news and stock Data Analysis 📈
+
+The financial markets are influenced by a multitude of factors, including daily news events. This project seeks to analyze the dynamic relationship between news headlines and stock price fluctuations.
+
+### Project Goals:
+
+- Real-Time Analysis: Track and analyze daily news articles alongside stock market data to observe how real-time events impact stock prices.
+- Trend Identification: Identify recurring trends by analyzing historical data to see which types of news have the most significant effects on market movements.
+- Risk Assessment: Assess how various categories of news, from earnings reports to geopolitical events, contribute to stock volatility.
+
+### Methodology:
+
+- Data Aggregation: Collect historical stock data and news articles from various sources. Integrate real-time data feeds to ensure up-to-date information.
+- Feature Engineering: Extract key attributes from news articles, such as sentiment, keywords, and event type, to use as predictors.
+- Exploratory Data Analysis (EDA): Use visualizations to examine correlations between news sentiment, trading volume, and stock prices.
+- Machine Learning Models: Develop models to analyze the impact of news sentiment on stock price trends. Utilize techniques such as regression analysis, time series forecasting, and classification to predict price movements.
+- Backtesting: Test the models on historical data to validate their accuracy and refine strategies for real-world application.
+
+ Outcome⚡  -  It can provide businesses and investors with a deeper understanding of how global events which are  affecting the  market behavior.
+ 
+ ## To view the analysis 👉 [DailyNews.ipynb](https://github.com/Archi20876/machine-learning-repos/blob/main/Data%20Analysis/Daily%20News%20and%20Stock%20Data%20Analysis/DailyNews.ipynb)
+
+ ## To view the combined dataset 👉 [Combined Dataset](https://github.com/Archi20876/machine-learning-repos/blob/main/Data%20Analysis/Daily%20News%20and%20Stock%20Data%20Analysis/Dataset/Combined_News_DJIA.csv)