Palladium fell to 896.50 USD/t.oz on June 30, 2025, down 20.03% from the previous day. Over the past month, Palladium's price has fallen 9.17%, and is down 7.43% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palladium - values, historical data, forecasts and news - updated on July of 2025.

This dataset offers a rich combination of quantitative financial market data and qualitative news text data on a daily basis, specifically focusing on the precious metals market (gold, silver, platinum and palladium using Gold Futures 'GC=F' as the primary example) from August 2000, up to April 2025. It is designed for researchers, analysts, and data scientists interested in exploring the interplay between financial news and market dynamics.

Rhodium rose to 5,450 USD/t oz. on June 27, 2025, up 0.46% from the previous day. Over the past month, Rhodium's price has risen 0.46%, and is up 17.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rhodium - values, historical data, forecasts and news - updated on June of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

SPPP:TSX Sprott Physical Platinum and Palladium Trust

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Rhodium price data, historical values, forecasts, and news provided by Money Metals Exchange. Rhodium prices and trends updated regularly to provide accurate market insights.