Graph and download economic data for Producer Price Index by Commodity: Investment Services (WPU40) from Jun 2009 to Aug 2025 about investment, commodities, services, PPI, inflation, price index, indexes, price, and USA.

Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Producer Price Index by Commodity: Investment Services: Portfolio Management (WPU402101) from Dec 2008 to Aug 2025 about management, investment, commodities, services, PPI, inflation, price index, indexes, price, and USA.

CRB Index rose to 378.33 Index Points on December 1, 2025, up 0.45% from the previous day. Over the past month, CRB Index's price has fallen 0.80%, but it is still 10.95% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

Graph and download economic data for Producer Price Index by Commodity: Investment Services: Securities Brokerage, Dealing, and Investment Advice (WPU401101) from Dec 2008 to Aug 2025 about brokers, investment, securities, commodities, services, PPI, inflation, price index, indexes, price, and USA.

Explore the opportunities and challenges of investing in corn prices, influenced by supply-demand dynamics, agricultural reports, and global economic factors. Understand how futures, ETFs, and stocks offer exposure in the agricultural commodities market.

The data is in Stata format and includes 2 files. The file named Agric has variables: spot price of Chicago corn and Chicago soybeans, the futures price of Chicago corn and Chicago soybeans and long positions of commodity index traders. The file named Energy contains variables on spot and futures prices of WTI crude oil and Henry Hub natural gas. The data is originally obtained from US commodity futures trading commission

United States - Producer Price Index by Commodity: Investment Services was 265.44500 Index Jun 2009=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Investment Services reached a record high of 265.44500 in August of 2025 and a record low of 100.00000 in June of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Investment Services - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Producer Price Index by Commodity: Investment Services: Investment Banking (WPU403101) from Dec 2008 to Sep 2025 about investment, services, banks, commodities, depository institutions, PPI, inflation, price index, indexes, price, and USA.

The global commodity trading services market is experiencing robust growth, driven by increasing globalization, fluctuating commodity prices, and the need for efficient supply chain management. The market size in 2025 is estimated at $2 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% between 2025 and 2033. This growth is fueled by several key factors. Firstly, the rising demand for raw materials across various sectors, including metals, energy, and agriculture, is creating lucrative opportunities for commodity trading firms. Secondly, technological advancements in areas like data analytics and blockchain technology are improving transparency, efficiency, and risk management within commodity trading, further stimulating market expansion. Finally, the increasing complexity of global supply chains necessitates the expertise of specialized commodity traders to navigate market volatility and ensure secure and timely delivery of goods. The market is segmented by commodity type (metals, energy, agricultural, and others) and by the size of the businesses served (large enterprises and SMEs). While large enterprises dominate the market currently, the SME segment shows strong potential for future growth as businesses increasingly rely on external expertise for commodity sourcing. The geographical distribution of the commodity trading services market is diverse, with North America, Europe, and Asia Pacific representing the major regions. However, emerging markets in Asia and Africa are showing significant growth potential due to rapid industrialization and rising consumer demand. Competitive pressures within the industry are high, with numerous large multinational corporations vying for market share. These companies, including Vitol, Glencore, Trafigura, Mercuria, and Cargill, possess extensive global networks, strong financial capabilities, and deep expertise in risk management, allowing them to dominate the market. Nevertheless, smaller, specialized trading firms are also finding success by focusing on niche markets or employing innovative trading strategies. The overall outlook for the commodity trading services market remains optimistic, with continued growth expected over the coming years, albeit with some potential challenges related to geopolitical instability and regulatory changes.

Corn rose to 433.53 USd/BU on December 2, 2025, up 0.01% from the previous day. Over the past month, Corn's price has fallen 0.17%, but it is still 2.43% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on December of 2025.

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.

The "Stock Market Dataset for AI-Driven Prediction and Trading Strategy Optimization" is designed to simulate real-world stock market data for training and evaluating machine learning models. This dataset includes a combination of technical indicators, market metrics, sentiment scores, and macroeconomic factors, providing a comprehensive foundation for developing and testing AI models for stock price prediction and trading strategy optimization.

Key Features Market Metrics:

Open, High, Low, Close Prices: Daily stock price movement. Volume: Represents the trading activity during the day. Technical Indicators:

RSI (Relative Strength Index): A momentum oscillator to measure the speed and change of price movements. MACD (Moving Average Convergence Divergence): An indicator to reveal changes in strength, direction, momentum, and duration of a trend. Bollinger Bands: Upper and lower bands around a stock price to measure volatility. Sentiment Analysis:

Sentiment Score: Simulated sentiment derived from financial news and social media, ranging from -1 (negative) to 1 (positive). Macroeconomic Factors:

GDP Growth: Indicates the overall health and growth of the economy. Inflation Rate: Reflects changes in purchasing power and economic stability. Target Variable:

Buy/Sell Signal: Binary classification (1 = Buy, 0 = Sell) based on price movement thresholds, simulating actionable trading decisions. Use Cases AI Model Training: Ideal for building stock prediction models using LSTM, Gradient Boosting, Random Forest, etc. Trading Strategy Optimization: Enables testing of trading algorithms and strategies in a simulated environment. Sentiment Analysis Research: Useful for understanding how sentiment influences stock movements. Feature Engineering and Selection: Provides a diverse set of features for experimentation with advanced techniques like PCA and LDA. Dataset Highlights Synthetic Yet Realistic: Carefully designed to mimic real-world financial data trends and relationships. Comprehensive Coverage: Includes key indicators and metrics used by traders and analysts. Scalable: Suitable for use in both small-scale academic projects and larger AI-driven trading platforms. Accessible for All Levels: The intuitive structure ensures that even beginners can utilize this dataset for financial machine learning applications. File Format The dataset is provided in CSV format, where:

Rows represent individual trading days. Columns represent features (technical indicators, market metrics, etc.) and the target variable. Acknowledgments This dataset is synthetically generated and is intended for research and educational purposes. It is not based on real market data and should not be used for actual trading.

United States PPI: Investment Services: Investment Banking data was reported at 175.500 Dec2008=100 in Jun 2018. This records a decrease from the previous number of 176.300 Dec2008=100 for May 2018. United States PPI: Investment Services: Investment Banking data is updated monthly, averaging 133.100 Dec2008=100 from Dec 2008 (Median) to Jun 2018, with 115 observations. The data reached an all-time high of 176.300 Dec2008=100 in May 2018 and a record low of 87.100 Dec2008=100 in May 2009. United States PPI: Investment Services: Investment Banking data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

Crude commodity prices refer to the rates at which crude oil is being traded in various markets. Today, the price of Brent crude oil is $60 per barrel, while the price of WTI crude oil is $58 per barrel. Factors such as supply and demand dynamics, geopolitical tensions, and economic indicators influence these prices, which are subject to constant fluctuations. Traders and investors closely monitor crude commodity prices to make informed decisions and assess market trends.

Investing in US oil prices involves buying and selling securities or derivatives that are directly influenced by the price of oil. This article discusses various methods of investing in US oil prices, such as trading oil futures contracts and investing in oil-related ETFs. It also emphasizes the importance of understanding market trends, managing risks, and staying informed about key factors influencing oil prices.

United States - Producer Price Index by Commodity: Investment Services: Securities Brokerage and Dealing Related Services was 707.16900 Index Dec 2008=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Investment Services: Securities Brokerage and Dealing Related Services reached a record high of 792.83500 in January of 2024 and a record low of 95.50000 in May of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Investment Services: Securities Brokerage and Dealing Related Services - last updated from the United States Federal Reserve on November of 2025.