This document provides stock market index data for several US stock market indices as of September 29, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as high, low, and breakout levels for each index over different time periods.
This document provides stock market index data and statistics for several major US stock indexes as of October 8, 2008. It includes the daily and weekly performance statistics, moving averages, highs and lows, and breakout levels for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 indexes.
The document provides stock market index data for several major US stock indexes as of Friday, October 3rd, 2008. It includes the daily and weekly performance statistics as well as statistics related to moving averages, highs/lows, and breakouts for each index over different time periods ranging from 3 days to 233 days. The indexes presented are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
This document provides stock market index data for several US stock market indices as of October 27, 2008. It includes daily and weekly statistics on the percentage of advancing and declining stocks, as well as data on moving averages, high and low prices, and breakouts for each index over different time periods ranging from 3 days to 233 days. The indices included are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides stock market index data for several major US stock indices as of October 10, 2008. It includes daily and weekly statistics on the percentage of advancing and declining stocks, moving averages, and high and low prices for each index over different time periods. All indices saw high percentages of declining stocks and stocks below moving averages, suggesting an overall bearish market on that date.
This document provides market index data and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. It includes daily and weekly statistics on the percentage of advancing and declining issues, and percentages of issues above or below moving averages and high/low levels for each index.
The document provides stock market index data for several major US stock indexes as of October 30, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indexes all experienced significant negative price changes and underperformance relative to their moving averages and breakout levels on both a daily and weekly basis according to the data presented.
The document provides market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as advance/decline percentages and movements relative to moving averages. Most indices saw over 90% of components advance on a daily basis but under 50% on a weekly basis. The majority of components for all indices were trading below their 13-day, 55-day, and 233-day moving averages.
This document provides market index data and statistics for several US stock market indices as of November 21, 2008. It includes daily and weekly statistics on price movement, percentages of stocks above or below moving averages, and high/low percentages. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides stock market index data and statistics for several major US stock indexes as of October 8, 2008. It includes the daily and weekly performance statistics, moving averages, highs and lows, and breakout levels for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 indexes.
The document provides stock market index data for several major US stock indexes as of Friday, October 3rd, 2008. It includes the daily and weekly performance statistics as well as statistics related to moving averages, highs/lows, and breakouts for each index over different time periods ranging from 3 days to 233 days. The indexes presented are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
This document provides stock market index data for several US stock market indices as of October 27, 2008. It includes daily and weekly statistics on the percentage of advancing and declining stocks, as well as data on moving averages, high and low prices, and breakouts for each index over different time periods ranging from 3 days to 233 days. The indices included are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides stock market index data for several major US stock indices as of October 10, 2008. It includes daily and weekly statistics on the percentage of advancing and declining stocks, moving averages, and high and low prices for each index over different time periods. All indices saw high percentages of declining stocks and stocks below moving averages, suggesting an overall bearish market on that date.
This document provides market index data and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. It includes daily and weekly statistics on the percentage of advancing and declining issues, and percentages of issues above or below moving averages and high/low levels for each index.
The document provides stock market index data for several major US stock indexes as of October 30, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indexes all experienced significant negative price changes and underperformance relative to their moving averages and breakout levels on both a daily and weekly basis according to the data presented.
The document provides market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as advance/decline percentages and movements relative to moving averages. Most indices saw over 90% of components advance on a daily basis but under 50% on a weekly basis. The majority of components for all indices were trading below their 13-day, 55-day, and 233-day moving averages.
This document provides market index data and statistics for several US stock market indices as of November 21, 2008. It includes daily and weekly statistics on price movement, percentages of stocks above or below moving averages, and high/low percentages. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides stock market index data for several US stock market indices as of Monday, July 13, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data for several US stock market indices as of October 1, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index, it summarizes the daily and weekly performance statistics, moving average levels, and high/low breakout levels over different time periods.
This document provides stock market index data from January 9, 2009 for several major US indexes: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes closing prices, daily and weekly price movement statistics, and information on moving averages and highs/lows for each index.
This document provides market index data for several US stock market indices as of Friday, November 14, 2008. It includes daily and weekly statistics on price movement, percentages of stocks trading above or below moving averages, and high and low prices for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides stock market index data for several major US stock indexes as of October 9, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as highs, lows, and breakout levels for each index over different time periods. The indexes showed mostly negative movement across time periods with high percentages of stocks trading below moving averages and recent highs.
This document provides stock market index data for several major US stock indexes as of October 9, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as highs, lows, and breakouts for each index over different time periods ranging from 3 days to 233 days (over 1 year). All indexes showed mostly decreases compared to their moving averages and high percentages of lows versus highs over all time periods measured.
This document provides market index data and statistics for several major US stock market indices as of January 30, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices saw significant price declines between -56% and -78% over the period analyzed.
The document provides stock market index data and performance summaries for several major US stock indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 for May 14, 2009. It includes details on price changes, advancing and declining stocks, moving averages, highs and lows, and breakouts for daily and weekly time periods. Overall, most indices saw price increases in the 20-60% range and had more advancing than declining stocks.
This document provides a summary of various stock market indices as of October 31, 2008. It includes data on the daily and weekly performance of indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000 and S&P 400. Details include the percentage of advancers and decliners, stocks above or below moving averages, and high and low levels for each index.
This document provides a summary of various stock market indices as of October 28, 2008 including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400. It includes data on the daily and weekly performance, movement relative to moving averages, breaking above or below highs and lows, and current high and low prices for each index.
This document provides market index data for several US stock market indices as of July 7, 2009. It includes daily and weekly statistics on price changes, moving averages, highs and lows, and breakouts for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices saw price declines between 61-90% over the periods reported with mixed performances across other metrics like moving averages and high/low levels.
The document provides market data and statistics for several stock market indexes as of March 10, 2009. It includes daily and weekly performance metrics as well as data on moving averages and highs/lows for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000. Overall, the indexes saw high advance rates and price increases for the period reported on.
This document provides stock market index data from multiple US stock indexes as of December 23, 2008. It includes daily and weekly statistics on advances/declines and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. High and low prices and breakout levels are also listed for each index.
The document provides stock market index data for several major US indexes including the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100. It includes daily and weekly statistics on price changes, moving averages, highs and lows, and breakouts for each index. All indexes saw significant price drops and declines in volume compared to the previous period.
This document provides market index data for several major US stock market indices as of October 7, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as high, low and breakout levels for each index over different time periods ranging from 3 days to over 200 days. The indices included are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides stock market index data from June 15, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics on price changes, moving averages, and numbers of stocks trading above or below moving averages. Most indexes were down between 77-92% on the day and week.
The document provides stock market index data from multiple US stock indexes as of February 11, 2009. It includes information such as the daily percentage of advancing and declining stocks, moving average percentages, and high and low percentages for each index over different time periods. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides daily and weekly market performance data for several US stock market indices as of October 30, 2008. It includes information on the percentage of stocks advancing or declining, breaking out of highs or lows, and closing above or below moving averages for each index. High and low prices and closing values are also given.
This document provides stock market index data and statistics for several major US stock indexes as of October 2, 2008. It includes daily and weekly statistics on advances, declines, and moving averages. The indexes tracked are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400. Overall, the data shows high daily declines, low advances, and a large percentage of stocks trading below their moving averages, indicating broadly negative market conditions.
This document provides stock market index data for several major US stock indexes as of September 30, 2008. It includes daily and weekly statistics on price movement, percentages of stocks trading above or below moving averages, and high and low prices for each index. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 Midcap.
The document provides stock market index data from January 21, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the daily and weekly performance statistics, moving averages, highs and lows, and breakouts for each index.
The document provides market index data from several US stock market indices as of Wednesday, December 9th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices, showing statistics such as price changes, moving averages, highs and lows, and advancing vs declining stocks. All indices showed price increases from 26-29% over the past year except the Russell 2000 which was up only 2.26%.
The document provides stock market index data for several US stock market indices as of Monday, July 13, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data for several US stock market indices as of October 1, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index, it summarizes the daily and weekly performance statistics, moving average levels, and high/low breakout levels over different time periods.
This document provides stock market index data from January 9, 2009 for several major US indexes: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes closing prices, daily and weekly price movement statistics, and information on moving averages and highs/lows for each index.
This document provides market index data for several US stock market indices as of Friday, November 14, 2008. It includes daily and weekly statistics on price movement, percentages of stocks trading above or below moving averages, and high and low prices for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides stock market index data for several major US stock indexes as of October 9, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as highs, lows, and breakout levels for each index over different time periods. The indexes showed mostly negative movement across time periods with high percentages of stocks trading below moving averages and recent highs.
This document provides stock market index data for several major US stock indexes as of October 9, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as highs, lows, and breakouts for each index over different time periods ranging from 3 days to 233 days (over 1 year). All indexes showed mostly decreases compared to their moving averages and high percentages of lows versus highs over all time periods measured.
This document provides market index data and statistics for several major US stock market indices as of January 30, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices saw significant price declines between -56% and -78% over the period analyzed.
The document provides stock market index data and performance summaries for several major US stock indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 for May 14, 2009. It includes details on price changes, advancing and declining stocks, moving averages, highs and lows, and breakouts for daily and weekly time periods. Overall, most indices saw price increases in the 20-60% range and had more advancing than declining stocks.
This document provides a summary of various stock market indices as of October 31, 2008. It includes data on the daily and weekly performance of indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000 and S&P 400. Details include the percentage of advancers and decliners, stocks above or below moving averages, and high and low levels for each index.
This document provides a summary of various stock market indices as of October 28, 2008 including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400. It includes data on the daily and weekly performance, movement relative to moving averages, breaking above or below highs and lows, and current high and low prices for each index.
This document provides market index data for several US stock market indices as of July 7, 2009. It includes daily and weekly statistics on price changes, moving averages, highs and lows, and breakouts for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices saw price declines between 61-90% over the periods reported with mixed performances across other metrics like moving averages and high/low levels.
The document provides market data and statistics for several stock market indexes as of March 10, 2009. It includes daily and weekly performance metrics as well as data on moving averages and highs/lows for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000. Overall, the indexes saw high advance rates and price increases for the period reported on.
This document provides stock market index data from multiple US stock indexes as of December 23, 2008. It includes daily and weekly statistics on advances/declines and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. High and low prices and breakout levels are also listed for each index.
The document provides stock market index data for several major US indexes including the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100. It includes daily and weekly statistics on price changes, moving averages, highs and lows, and breakouts for each index. All indexes saw significant price drops and declines in volume compared to the previous period.
This document provides market index data for several major US stock market indices as of October 7, 2008. It includes daily and weekly statistics on price changes and movements relative to moving averages, as well as high, low and breakout levels for each index over different time periods ranging from 3 days to over 200 days. The indices included are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides stock market index data from June 15, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics on price changes, moving averages, and numbers of stocks trading above or below moving averages. Most indexes were down between 77-92% on the day and week.
The document provides stock market index data from multiple US stock indexes as of February 11, 2009. It includes information such as the daily percentage of advancing and declining stocks, moving average percentages, and high and low percentages for each index over different time periods. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides daily and weekly market performance data for several US stock market indices as of October 30, 2008. It includes information on the percentage of stocks advancing or declining, breaking out of highs or lows, and closing above or below moving averages for each index. High and low prices and closing values are also given.
This document provides stock market index data and statistics for several major US stock indexes as of October 2, 2008. It includes daily and weekly statistics on advances, declines, and moving averages. The indexes tracked are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400. Overall, the data shows high daily declines, low advances, and a large percentage of stocks trading below their moving averages, indicating broadly negative market conditions.
This document provides stock market index data for several major US stock indexes as of September 30, 2008. It includes daily and weekly statistics on price movement, percentages of stocks trading above or below moving averages, and high and low prices for each index. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 Midcap.
The document provides stock market index data from January 21, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the daily and weekly performance statistics, moving averages, highs and lows, and breakouts for each index.
The document provides market index data from several US stock market indices as of Wednesday, December 9th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices, showing statistics such as price changes, moving averages, highs and lows, and advancing vs declining stocks. All indices showed price increases from 26-29% over the past year except the Russell 2000 which was up only 2.26%.
The document provides market index data for several US stock market indices as of Friday, September 18, 2009. It includes daily and weekly statistics on price movement, trading volume, and trends relating to moving averages and breaking above or below key levels for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. The majority of indices saw price increases between 9-26% over various periods and positive trends in other metrics like advances, price up volume, and moving averages.
The document provides market index data for several major US stock market indices as of 20-Nov-09. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages for each index. All indices saw significant price declines in the range of -9% to -54% over the periods reported.
This document provides market index data and statistics for several major US stock market indices as of September 24, 2008. It includes daily and weekly statistics on advances/declines and moving averages. The indices showed declines across most short-term moving averages and high percentages of stocks trading below many moving averages. Most indices had high percentages of daily and weekly declines.
This document provides stock market index data for several major US stock indexes as of Friday, October 9th, 2009. It includes the S&P 500, Nasdaq 100, S&P 100, Russell 1000, Russell 2000, and Russell 3000. For each index it provides daily and weekly performance statistics, moving average breakdowns, high/low levels, and breakout data.
The document provides stock market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes current index prices and percentage changes, daily and weekly statistics on advancing and declining stocks, and data on moving averages and stocks breaking above or below key levels.
The document provides market performance data for various stock market indexes as of Monday, October 19th. It includes data on daily and weekly performance percentages, percentages of stocks above or below moving averages, and high and low prices for the indexes over different time periods ranging from 3 days to 233 weeks. The indexes covered are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides a summary of market index data as of June 24, 2008. It includes daily and weekly statistics on advances, declines, and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 indexes. High and low levels and breakouts are also listed for various periods for each index.
The document provides stock market index data for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 as of September 30, 2009. It includes information such as the daily percentage of advancing and declining stocks, moving average data, high/low percentages and breakout information.
The document provides market index data for several US stock market indices as of Wednesday, October 7, 2009. It includes daily and weekly performance statistics as well as information on moving averages and high/low levels for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data for several US stock market indices as of Thursday, September 24, 2009. It includes daily and weekly statistics on price movement, trading volume, and comparisons to moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. The indices showed significant declines in price over the periods reported, with the Nasdaq 100 and S&P 500 down over 65% and 69% respectively.
The document provides daily and weekly market performance data for several major US stock market indices from November 10, 2008. It summarizes key metrics like percentage of advancing/declining stocks, moving average positions, and high/low breakouts. Performance across all indices was largely negative on the day, with advancing stocks ranging from 21-29% and declining stocks between 71-77%.
This document provides stock market index data for several major US stock indexes as of July 1, 2008. It includes the daily and weekly performance statistics such as advances and declines as well as information on moving averages and high/low prices for each index over different time periods. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides stock market index data for several major US stock indexes as of Friday, July 11, 2008. It includes daily and weekly performance statistics as well as information on moving averages and highs and lows for each index over different time periods ranging from 3 days to over 200 days. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
This document provides stock market index data and statistics for several major US stock indices as of October 29, 2008. It includes daily and weekly statistics on the percentage of advancers and decliners, moving average positions, and high and low breakout levels for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 indices.
The document provides market index data for several US stock market indices as of October 28, 2009. It includes the closing price and percentage change from the previous day for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. It also includes data on the daily and weekly trend, moving averages, highs and lows, and breakouts for each index.
The document provides stock market index data for several US stock market indices as of September 15, 2008. It includes the daily and weekly performance statistics as well as statistics related to moving averages, high/low prices, and breakouts for each index over different time periods ranging from 3 days to 233 days (approximately 1 year). The indices reported on are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
The document provides market index data for several major US stock market indices as of February 20, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, moving averages, and high and low prices for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices saw price declines between 17-50% over the period and weak market strength according to other reported metrics.
The document provides market index data for several major US stock market indices as of September 17, 2008. It includes daily and weekly statistics on price changes, moving averages, and highs and lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400 indices.
The document provides stock market index data and performance metrics for major US stock indexes like the S&P 500, Nasdaq 100, and Russell indexes for the day of Friday, March 6, 2009. Most indexes were down significantly that day, between 11-18%. The data includes details on the daily and weekly movement of the indexes, percentages of stocks trading above or below moving averages, and breakdowns of winning and losing stocks.
This document provides stock market index data for several major US stock indexes as of October 6, 2008. It includes daily and weekly statistics on advances/declines and moving averages, as well as high, low, and breakout levels for each index over different time periods ranging from 3 days to 233 days. The indexes shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
This document provides market index data for several US stock market indices as of November 19, 2008. It includes daily and weekly statistics on price changes, moving averages, and the percentage of components above or below certain price levels for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices.
This document provides a summary of various stock market indices as of June 26, 2008. It includes data on daily and weekly performance, percentages of stocks above or below moving averages, and high and low prices for each index over different time periods ranging from 3 days to over 200 days. The indices included are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000, and S&P 400.
This document provides stock market index data and statistics for several major US stock indices as of the close of business on December 29, 2008. It includes the daily and weekly performance statistics as well as statistics on moving averages and highs and lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices.
This document provides market index data for several US stock market indices as of November 5, 2008. It includes the daily and weekly performance statistics as well as information about moving averages and highs/lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices.
This document provides daily and weekly performance data for several stock market indexes (S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000) as of December 24, 2008. It includes information on the percentage of stocks in each index that are above or below moving averages, the percentage of new highs and lows, and current high and low levels for each index.
- The document provides market index data from July 9, 2009 including price changes, daily and weekly performance statistics, and moving average data for several US stock market indices.
- Most indices were up significantly for the day and week, with price increases ranging from 16% to 25% and daily performance mostly above 97%.
- Moving average levels show most indices were below their 3-day, 13-day, and longer period averages, indicating recent price rise.
This document provides market index data and statistics for several US stock market indices as of November 6, 2008. It includes daily and weekly statistics on price changes and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices.
The document provides market index data for several major US stock market indices as of March 3, 2009. It includes the closing price and percentage changes in price and volume for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. It also includes data on the indices' performances relative to their short, medium, and long-term moving averages, as well as statistics on daily and weekly advances, declines, and breakouts above or below key highs and lows for each index.
This document provides stock market index data for several major US stock indexes as of February 17, 2009. It includes daily and weekly statistics on price changes, percentage of stocks moving above or below moving averages, and high and low percentages. The indexes tracked are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides market index data and statistics for several major US stock market indices as of the close of business on December 30, 2008. It includes daily and weekly statistics on price movement, numbers of stocks trading above or below moving averages, and high and low prices. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides stock market index data from December 10, 2009. It includes performance summaries for major US indexes such as the S&P 500, Nasdaq 100, and Russell 1000 and 3000. Most indexes were up over the past day, week and months. The majority of constituent stocks for each index closed above their short-term and long-term moving averages.
The document appears to be analyzing the short term, intermediate term, and long term technical indicators and trends for various stock market indexes and commodities. In the short term, most indexes are showing bearish trends and positioning, with the S&P 500, Nasdaq, and Dow all bearing short. In the intermediate term, some indexes are showing bullish trends like the Nasdaq, while others like gold remain bearish. In the long term, trends are more mixed with several commodities like oil and gold remaining in bearish trends while indexes like the Nasdaq and small caps show bullish positioning long term.
The document provides market index data from several US stock market indices as of Wednesday, December 9th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices, showing statistics such as price changes, moving averages, highs and lows, and other performance metrics. The indices showed price increases ranging from 2.26% to 29% compared to previous levels.
The document appears to be analyzing the short term, intermediate term, and long term technical indicators and trends for various stock market indexes and commodities. In the short term, most indexes are showing bearish trends and stochastic indicators in oversold territory. In the intermediate term, some indexes and commodities are showing bullish trends and moving averages in bullish territory. In the long term, several indexes and commodities have bearish trends and stochastic indicators in oversold territory again.
The document appears to be a market analysis report that provides technical indicators for various stock market indexes and commodities across short, medium, and long-term timeframes. It lists the closing price, momentum, position, stochastic, high/low values and trend indicators. Most indexes and commodities are shown to be in a bearish position in the short-term, with some turning bullish in the medium and long-term according to the indicators.
The document appears to be a market analysis report that provides technical indicators for various stock market indexes and commodities across short, medium, and long-term timeframes. It lists the closing price, momentum, position, stochastic, high/low values and trend indicators. Most indexes and commodities are shown to be in a bearish position in the short-term, with some turning bullish in the medium and long-term according to the indicators.
The document provides market index data and statistics for several US stock market indices as of Tue 08-Dec-09. It includes details on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, percentage of advancers and decliners, moving average positions, and high/low breakouts. The statistics indicate overall declines across the indices compared to the prior period.
The document provides stock market index data from various US stock exchanges. It shows that on December 7th, 2009, most major indexes were down between 8-15% and trading volumes were also down significantly, between 40-70% lower than normal levels. The S&P 500 fell the least at 8.4% while the Nasdaq 100 dropped the most with a 15% decline. Most indexes had over 50% of their components trading below their moving averages.
The document provides technical analysis data for various stock market indexes and commodities. It includes the closing price, momentum, position, stochastic readings, potential high and low values, and trend indicators for short, intermediate, and long term timeframes. Overall the data suggests bearish momentum in the short term that could turn bullish in the intermediate to long term for many of the assets according to the indicators.
This document provides technical analysis indicators for various stock market indexes and commodities for short-term (ST), intermediate-term (IT), and long-term (LT) time frames as of December 4, 2009. It lists the closing price, momentum, private comments on the stochastic indicator, and other technical analysis metrics. Most indexes and commodities are shown to be in bullish trends for the IT and LT time frames.
This document provides market index data for several US stock market indices as of Friday, December 4th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, percentage of stocks trading above or below moving averages, high and low prices, and breakout statistics. Overall, the indices showed strong gains over various periods with many component stocks trading above common technical indicators.
The document provides market index data for several US stock market indices as of Thursday, December 3, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below moving averages. The S&P 500 and other major indices saw price declines of around 60% compared to the prior day/week, with most individual stocks also lower. Trading volume was up modestly for most indices.
The document provides stock market index data from various US stock exchanges as of Wednesday, December 2nd, 2009. It includes performance summaries and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. The indexes were up or down modestly for the day and week, with various percentages of constituent stocks trading above or below moving averages.
The document provides stock market index data for several major US stock indexes as of December 1, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes such as the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100 over various periods from 3 days to over 200 weeks. All indexes showed strong positive performance over the past week and month according to the data presented.
The document provides stock market data and analysis for various indices and sectors. It includes closing prices, momentum indicators, and short-term, intermediate-term, and long-term outlooks. Most indices and sectors are shown to be in bullish trends in the short-term and intermediate-term with neutral or bearish signals in some cases in the long-term.
This document provides technical analysis data for various stock market indexes and commodities. It includes the closing price, momentum, private analysis of short-term, intermediate-term and long-term trends including whether the trend is bullish, bearish or neutral. Most indexes and commodities were in a bearish short-term trend as of the date listed at the top (Nov 30, 2009).
The document provides stock market index data for several major US stock indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as price changes, moving averages, highs and lows, and breakouts for each index. The data shows most indices experiencing large negative price changes and high percentages of stocks trading below moving averages and breaking below previous lows.
The document provides technical analysis data for various stock market indexes and commodities. It analyzes the short-term (ST), intermediate-term (IT), and long-term (LT) trends as well as momentum, position, and other indicators. Most markets are showing bearish short-term trends according to the data, though some indexes and commodities related to gold and silver are bullish in the short or intermediate-term.
The document provides market index data from November 25, 2009. It includes performance summaries for major US stock indexes such as the S&P 500, Nasdaq 100, Russell 1000 and Russell 2000. The indexes showed mixed performance for the day, week and period averages, with some up over 50% for the year and others down nearly 30%. Moving averages and technical indicators are also given for each index.
The document provides market index data and statistics for several US stock market indices as of Tue 24-Nov-09. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, number of constituent stocks, moving average positions and high/low levels. Most indices were down between 8-25% over the period with advances outnumbering declines on a daily and weekly basis for the major indices.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.