Indexes included in the Russell U.S. Index Series Russell 3000®: The Russell 3000 Index measures the performance of the largest 3,000 U.S. companies representing approximately 98% of the investable U.S. equity market. Russell 1000®: The Russell 1000 Index measures the performance of the large-cap segment of the U.S. equity universe. It is a subset of the Russell 3000 Index and includes approximately 1,000 of the largest securities based on a combination of their market cap and current index membership. The Russell 1000 represents approximately 91% of the U.S. market. Russell 2000®: The Russell 2000 Index measures the performance of the small-cap segment of the U.S. equity universe. The Russell 2000 Index is a subset of the Russell 3000 Index representing approximately 9% of the total market capitalization of that index. It includes approximately 2,000 of the smallest securities based on a combination of their market cap and current index membership. Index Inception Dates Russell 1000® Index (1/1979) Russell 1000® Growth Index (1/1979) Russell 1000® Value Index (1/1979) Russell 2000® Index (1/1979) Russell 2000® Growth Index (1/1979) Russell 2000® Value Index (1/1979) Russell 2500™ Index (4/2003) Russell 2500™ Growth Index (4/2003) Russell 2500™ Value Index (4/2003) Russell 3000® Index (1/1979) Russell 3000® Growth Index (1/1979) Russell 3000® Value Index (1/1979) Russell Midcap® Index (1/1986) Russell Midcap® Growth Index (1/1987) Russell Midcap® Value Index (1/1987) Russell Small Cap Completeness Index (4/2003) Russell Small Cap Completeness Growth Index (4/2003) Russell Small Cap Completeness Value Index (4/2003) Russell Top 200® Index (7/1996) Russell Top 200® Growth Index (7/2001) Russell Top 200® Value Index (7/2001) Monthly Files included in the Russell U.S. Index Series Monthly Closing Files – RGS These holdings files reflect the official closing positions for all constituents of the 21 U.S. Russell Indexes at month-end back to December 1986 and at quarter-end from September 1986 back to December 1978. Security level information such as returns, market values, sector and industry classifications, and security weights are included in the file. Files are fixed-width text files and have a naming convention of H_yyyymmdd_RGS.txt. Monthly Closing Files – ICB These holdings files reflect the official closing positions for all constituents of the 21 U.S. Russell Indexes at month-end back to January 2010. Security level information such as returns, market values, sector and industry classifications, and security weights are included in the file. Files are comma delimited text files and have a naming convention of H_yyyymmdd.csv. Monthly Contribution to Return by RGS Files These files provide contribution to return using RGS as of the end of the month for each of the 21 U.S. Russell Indexes back to August 2008. Files are tab delimited text files and have a naming convention of CTR_MONTHLY_RGS_yyyymmdd.txt.. Monthly Contribution to Return by ICB Files These files provide contribution to return using ICB as of the end of the month for each of the 21 U.S. Russell Indexes back to August 2020. Files are comma delimited text files and have a naming convention of CTR_MONTHLY_yyyymmdd.csv. Monthly RGS Sector Weights Files These files provide monthly Russell Global Sector (RGS) weights for all 21 US Indexes at month-end back to November 2009. Files are comma delimited text files and have a naming convention of SWH_RGS_ALL_yyyymmdd.txt. Monthly ICB Sector Weights Files These files provide monthly Industrial Classification Benchmark (ICB) weights for all 21 US Indexes at month-end back to March 2020. Files are comma delimited text files and have a naming convention of SWH_ALL_yyyymmdd.csv. Note: In August 2020 FTSE Russell transitioned to ICB classification from the RGS classification. All data from September, 2020 is only available using ICB Classification. Data is current to 2024.

OHLCA data for stocks on the Russell 3000 index, arranged to make modeling easy for the smart people in the room. This is obviously not financial advice and I'm not responsible or liable whatsoever if you blow up your life savings trying to do clever things.

In 2015 barely a percentile of companies mentioned AI in their Russell 3000 earnings calls. This has radically changed in 2023 with over **** percent of companies mentioning the concept of AI in their calls. Only in 2022 and 2020 did the mentions drop somewhat, though the overall growth of the amount of mentions has been steady.

I'm fascinated how banking and large hedge funds are utilizing the huge amount of data they possess to drive the stock market in either direction. Many companies do gather these data and sell them again, while they are already public information. I'm a beginner in this world and I want to make majority of the scattered data available to everyone in one place to ease process of analysis with minimal cost possible. his dataset contains the prices for stocks since establishment until November 1st, 2021. The stocks divided based on the market index (Dow Johns, Nasdaq 100, S&P 500, and Russell 3000).

Hope you find dataset is useful.

This dataset contains firm-level, daily observations of capital flow activity for approximately 2,000 publicly traded companies listed on the NASDAQ, Russell 3000, and S&P 500 indices between 2015 and 2025. Each record corresponds to one trading day per firm and reports the following variables: date – trading day in YYYY-MM-DD format buy_flow_usd – total value of buy-side transactions (USD) sell_flow_usd – total value of sell-side transactions (USD) net_flow_usd – difference between buy and sell flows (positive = inflow; negative = outflow) trades – number of executed trades during the trading day The data were constructed from aggregated trade-level information using intraday transaction records obtained from official exchange data feeds. All flows are expressed in nominal USD. This dataset can be used to study market liquidity, institutional trading behavior, investor sentiment, and capital movement patterns across major U.S. indices. It supports replication of research on daily capital flows, market microstructure, and cross-sectional determinants of liquidity.

Index Time Series for ProShares Short Russell2000. The frequency of the observation is daily. Moving average series are also typically included. The fund invests in financial instruments that ProShare Advisors believes, in combination, should produce daily returns consistent with the fund's investment objective. It is a float-adjusted, market capitalization-weighted index containing approximately 2000 of the smallest companies in the Russell 3000® Index or approximately 10% of the total market capitalization of the Russell 3000® Index. The fund is non-diversified.

Index Time Series for Vanguard Global Value Equity Active ETF. The frequency of the observation is daily. Moving average series are also typically included. Vanguard Global Value Equity Active ETF (Managed Fund) is an exchange traded fund launched and managed by Vanguard Investments Australia Ltd. It invests in the public equity markets of developed countries across the globe. The fund seeks to invest in the stocks of companies operating across diversified sectors. It invests in the value stocks of companies across all market capitalizations, within the market capitalization range of the FTSE Developed All Cap Index and the Russell 3000 Index. The fund employs quantitative analysis focusing on factors such as price-to-book, price-to-earnings ratio, price-to-estimated future earnings, and price-to-operating cash flow to create its portfolio. It benchmarks the performance of its portfolio against the FTSE Developed All-Cap Index and FTSE Developed All-Cap in Australian dollars Index. The fund employs proprietary research to create its portfolio. Vanguard Global Value Equity Active ETF (Managed Fund) was formed on April 13, 2018 and is domiciled in Australia.