The Russell 2000 index grew significantly since the financial crisis of 2008, year when it experienced the steepest decrease on record. Between the end of 2018 and the end of 2022, it grew from 1,338.52 points to 1759.26 points. As of the end of 2024, the Russell 2000 index rose to 2,230.16 index points.

Graph and download economic data for CBOE Russell 2000 Volatility Index (RVXCLS) from 2004-01-02 to 2025-03-25 about VIX, volatility, stock market, and USA.

This statistic presents the year-end closing values of the Russell 2000 index from 2000 to 2018. The value of Russell 2000 index amounted to 1,349 points in 2018.

United States - CBOE Russell 2000 Volatility was 22.37000 Index in March of 2025, according to the United States Federal Reserve. Historically, United States - CBOE Russell 2000 Volatility reached a record high of 87.62000 in November of 2008 and a record low of 11.83000 in September of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - CBOE Russell 2000 Volatility - last updated from the United States Federal Reserve on March of 2025.

In recent years, the development of the Russell 1000 index was rather impressive. The Russell 1000 index, which reflects the performance of approximately 1,000 largest companies traded in the United States, amounted to 3,221.5 at the close of trading in December 2024.

Download Historical Mini-Russell 2000-NYFE($100) Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Prices for United States Stock Market Index (US2000) including live quotes, historical charts and news. United States Stock Market Index (US2000) was last updated by Trading Economics this March 27 of 2025.

Intraday 1 minute sample data for Mini-Russell 2000-NYFE($100) TFE timestamped in Chicago time

Tick (trades only) sample data for Mini-Russell 2000-NYFE($100) TFE timestamped in Chicago time

This statistic presents the year-end closing values of the Russell 3000 index from 2000 to 2018. The value of Russell 3000 index amounted to 1,472 points in 2018.

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.

iShares Russell 2000 BuyWrite: A Smart Bet for Income?

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

The Russell Midcap index grew significantly since the financial crisis of 2008, year when it experienced the steepest decrease on record. Between the end of 2018 and the end of 2021, it jumped from 1,857.3 points to 3,320.04 points. In 2022, however, the Russell Midcap index fell to 2,700.67 index points, before increasing again in the following years.

A daily data ranging from January 2014 until December 2018 is employed. The period between January, 1, 2014 until November 7, 2016 refers to the pre-election period. The period ranging from November 8, 2016, until December, 31 2018 defines the post-election period. Four U.S stock price indices are retrieved from DataStream: The standard and Poor’s 500 index (S&P 500) covers the performance of 500 largest capitalization stocks. The Dow Jones Industrial Average (DJIA) index tracks the prices of the top 30 US companies. The NASDAQ 100 measures the performance of the 100 largest non-financial stocks traded on NASDAQ. The Russell 2000 index covers the performance of 2.000 lowest capitalization stocks. A daily political risk index is calculated for each period using Google trends and the principal component analysis.

This dataset contains several daily features of S&P 500, NASDAQ Composite, Dow Jones Industrial Average, RUSSELL 2000, and NYSE Composite from 2010 to 2017. It covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the U.S. market, and treasury bill rates. Sources and thorough description of features have been mentioned in the paper of "CNNpred: CNN-based stock market prediction using a diverse set of variables".

About this dataset

Context

The dataset tabulates the Russell population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Russell across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Russell was 351, a 0.28% decrease year-by-year from 2022. Previously, in 2022, Russell population was 352, an increase of 0.86% compared to a population of 349 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Russell decreased by 24. In this period, the peak population was 375 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Russell is shown in this column.
• Year on Year Change: This column displays the change in Russell population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russell Population by Year. You can refer the same here

Prices for US2000 - 股票价格 including live quotes, historical charts and news. US2000 - 股票价格 was last updated by Trading Economics this March 26 of 2025.

Intraday 1 minute sample data for Mini-Russell 2000- CME RTY timestamped in Chicago time

About this dataset

Context

The dataset tabulates the Russell town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Russell town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Russell town was 707, a 0.71% increase year-by-year from 2022. Previously, in 2022, Russell town population was 702, a decline of 0.14% compared to a population of 703 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Russell town increased by 13. In this period, the peak population was 727 in the year 2005. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Russell town is shown in this column.
• Year on Year Change: This column displays the change in Russell town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russell town Population by Year. You can refer the same here

As of June 2024, the iShares Russell 2000 ETF had the third-largest year-to-date (YTD) fund outflow. The SPDR S&P 500 ETF Trust ranked second with a YTD outflow of -16.2 billion U.S. dollars, while also having ranked in first place for the largest fund fund outflow in the first half of 2024 at -5.1 billion U.S. dollars. The leading fund by YTD outflow was the Grayscale Bitcoin Trust ETH (BTC) at -18.5 billion U.S. dollars.

All-Transactions House Price Index for Russell County, AL was 211.63000 Index 2000=100 in January of 2024, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Russell County, AL reached a record high of 211.63000 in January of 2024 and a record low of 63.24000 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Russell County, AL - last updated from the United States Federal Reserve on March of 2025.