Financial Daily Price Data For Analysis

This dataset contains daily price records over a given time period, suitable for time-series analysis, forecasting, and trend detection. Each entry represents the recorded market price for a single day, allowing analysts and researchers to explore seasonal patterns, volatility, and long-term trends.

Key Features
Date – The trading day or observation date.

Price – The recorded market price for that date (in USD).

Potential Use Cases
Time-series forecasting models (ARIMA, LSTM, Prophet)

Financial trend analysis and volatility studies

Correlation with macroeconomic indicators

Price anomaly detection

Notes
Data is clean and ready for analysis.

Ideal for machine learning, deep learning, and statistical modeling.