The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

Our experienced analyst team use quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed investment decisions.

We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as XML, XLSX or API via SFTP or Snowflake.

Sample dataset for Desktop Service has been provided with some proprietary fields concealed. Upon request, we can provide a detailed Quant sample.

Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Insider Trading Data, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, United Sates of America, Canada, North America

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This dataset contains the predicted prices of the asset Bank of America tokenized stock (xStock) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This data release includes carbon stocks and sequestration rates for seagrass meadows and natural and restored tidal marshes in the Pacific Northwest US. Our studies have 1) estimated organic carbon stocks and sequestration rates for a Z. marina meadow in Padilla Bay, a National Estuarine Research Reserve in Washington, 2) conducted a blue C assessment of restored and natural tidal marshes in the Stillaguamish River estuary in Puget Sound, Washington, and 3) provided an assessment of carbon stocks and sequestration rates from 12 sites across the Snohomish estuary, representing emergent tidal wetland, forested tidal wetland, regenerating emergent wetland, and drained wetland in the Pacific Northwest US. Sediment accretion and carbon accumulation rates were determined with radiometric dating.

This dataset contains the predicted prices of the asset American Express Tokenized Stock (Ondo) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

These Kaggle datasets offer a comprehensive analysis of the US real estate market, leveraging data sourced from Redfin via an unofficial API. It contains weekly snapshots stored in CSV files, reflecting the dynamic nature of property listings, prices, and market trends across various states and cities, except for Wyoming, Montana, and North Dakota, and with specific data generation for Texas cities. Notably, the dataset includes a prepared version, USA_clean_unique, which has undergone initial cleaning steps as outlined in the thesis. These datasets were part of my thesis; other two countries were France and UK.

These steps include: - Removal of irrelevant features for statistical analysis. - Renaming variables for consistency across international datasets. - Adjustment of variable value ranges for a more refined analysis.

Unique aspects such as Redfin’s “hot” label algorithm, property search status, and detailed categorizations of property types (e.g., single-family residences, condominiums/co-ops, multi-family homes, townhouses) provide deep insights into the market. Additionally, external factors like interest rates, stock market volatility, unemployment rates, and crime rates have been integrated to enrich the dataset and offer a multifaceted view of the real estate market's drivers.

The USA_clean_unique dataset represents a key step before data normalization/trimming, containing variables both in their raw form and categorized based on predefined criteria, such as property size, year of construction, and number of bathrooms/bedrooms. This structured approach aims to capture the non-linear relationships between various features and property prices, enhancing the dataset's utility for predictive modeling and market analysis.

See columns from USA_clean_unique.csv and my Thesis (Table 2.8) for exact column descriptions.

Table 2.4 and Section 2.2.3, which I refer to in the column descriptions, can be found in my thesis; see University Library. Click on Online Access->Hlavni prace.

If you want to continue generating datasets yourself, see my Github Repository for code inspiration.

Let me know if you want to see how I got from raw data to USA_clean_unique.csv. Multiple steps include cleaning in Tableau Prep and R, downloading and merging external variables to the dataset, removing duplicates, and renaming columns for consistency.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.