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 US stock market indices as of October 8, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages for indices like the S&P 500, Nasdaq 100, Russell 1000, and Russell 2000. Breakout and high/low statistics for short-term, mid-term and long-term periods are also presented.
The document provides market index data for several US stock market indices as of the close of trading on September 21, 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, number of constituent stocks, moving averages, and high/low levels reached. Overall, the stock market indices showed declines from the previous day/week of between 10-39% accompanied by high trading volumes.
The document provides market index data for several US stock market indices as of Tuesday, September 29, 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, Russell 3000.
The document provides market index data for several major US stock market indices as of Friday, September 11, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index it provides the daily price change, moving average data, high/low data and other statistical measures.
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. It includes daily and weekly statistics such as percentage of stocks trading higher or lower, moving average data, and high/low statistics for each index.
The document provides stock market index data from September 9, 2009 including:
- The S&P 500 index was up 52.6% and closed at 1033.37.
- The Nasdaq 100 index rose 59% to 1669.23.
- Daily advances outnumbered declines for the S&P 500, Russell 1000, Russell 2000 and Russell 3000 indexes.
- Most indexes had a majority of component stocks trading above their 3-day, 13-day and 55-day moving averages.
The document provides market index data for several US stock market indices as of the close of business on September 14, 2009. It includes data on price changes, daily and weekly trends, moving averages, and highs and lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. The indices showed price increases ranging from 27% to 50.6% from previous levels and mixed trends in volume changes, advances, declines, and breakouts over different periods.
The document provides market index data and statistics for several US stock market indices as of Wed 16-Sep-09. It includes daily and weekly percentages of advancing and declining stocks, moving average positions, and breakout and high/low statistics for indices such as 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 8, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages for indices like the S&P 500, Nasdaq 100, Russell 1000, and Russell 2000. Breakout and high/low statistics for short-term, mid-term and long-term periods are also presented.
The document provides market index data for several US stock market indices as of the close of trading on September 21, 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, number of constituent stocks, moving averages, and high/low levels reached. Overall, the stock market indices showed declines from the previous day/week of between 10-39% accompanied by high trading volumes.
The document provides market index data for several US stock market indices as of Tuesday, September 29, 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, Russell 3000.
The document provides market index data for several major US stock market indices as of Friday, September 11, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index it provides the daily price change, moving average data, high/low data and other statistical measures.
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. It includes daily and weekly statistics such as percentage of stocks trading higher or lower, moving average data, and high/low statistics for each index.
The document provides stock market index data from September 9, 2009 including:
- The S&P 500 index was up 52.6% and closed at 1033.37.
- The Nasdaq 100 index rose 59% to 1669.23.
- Daily advances outnumbered declines for the S&P 500, Russell 1000, Russell 2000 and Russell 3000 indexes.
- Most indexes had a majority of component stocks trading above their 3-day, 13-day and 55-day moving averages.
The document provides market index data for several US stock market indices as of the close of business on September 14, 2009. It includes data on price changes, daily and weekly trends, moving averages, and highs and lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. The indices showed price increases ranging from 27% to 50.6% from previous levels and mixed trends in volume changes, advances, declines, and breakouts over different periods.
The document provides market index data and statistics for several US stock market indices as of Wed 16-Sep-09. It includes daily and weekly percentages of advancing and declining stocks, moving average positions, and breakout and high/low statistics for indices such as 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 Friday, October 16, 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 showed declines in price of 24-77% compared to the prior day or week.
The document provides stock market index data from multiple US stock indexes as of Wed 11-Nov-09. It includes metrics such as price changes, moving averages, highs and lows for daily and weekly time periods. The S&P 500, Nasdaq 100, Russell 1000 and Russell 2000 indexes all saw price increases between 36-50% and advances between 67-92% for the periods reported.
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.
The document provides market index data for several US stock market indices as of Tuesday, November 10, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index. The S&P 500, Nasdaq 100, S&P 100, Russell 1000, Russell 2000, and Russell 3000 indices all saw price increases between 1-3% over the past day and week according to the data presented.
- The document provides market index data and statistics for several US stock market indices as of Tue 08-Sep-09, including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
- It shows metrics such as price changes, daily advances/declines, moving average positions, high/low breakouts, and weekly trend data.
- The indices were generally up between 21-51% over various periods, with high percentages of components above moving averages and setting new highs or breaking out of lows.
The document provides market index data and statistics for several US stock market indices as of Tue 22-Sep-09. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000, reporting on daily and weekly price movement statistics, moving average positions, highs and lows, and breakout levels for each index.
The document provides market performance data for several major US stock market indices including the S&P 500, Nasdaq 100, Russell 1000, Russell 2000, and Russell 3000. It includes information on daily and weekly price movement, percentages of stocks trading above or below moving averages, and numbers of new highs and lows set within the indices. Overall, the data shows predominantly positive market movement across all indices over the past week and month.
The document provides market index data from multiple US stock indexes as of November 23, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100 over various periods from 3 days to over 200 weeks. The indexes showed price increases in the 77-88% range for the period with mixed advances/declines and varying performances across industry sectors and market caps.
The document provides market index data for several US stock market indices as of September 17, 2009. It includes daily and weekly performance statistics as well as data on moving averages and highs/lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices showed significant price declines from 15-38% over the period analyzed with the Nasdaq 100 declining the most at 26%.
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 index data for several US stock market indices such as the S&P 500, Nasdaq 100, and Russell 1000 and 3000 as of November 9, 2009. It includes statistics on the percentage of components above or below moving averages, the percentage hitting new highs and lows, and breakout levels over different time periods. Overall, the indices showed strong upward momentum with most components performing well above moving averages and many reaching new highs for the period.
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 for several major US indexes as of June 4, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index, it summarizes daily and weekly trends, movement relative to moving averages, highs and lows, and breakout levels over different time periods. All indexes showed price increases between 29-54% over the past year.
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 market index data for several US stock market indices such as the S&P 500, Nasdaq 100, and Russell family of indices. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below various moving averages. Overall, the data shows strong upward movement across all indices in recent periods with high percentages of price increases and stocks trading above moving averages.
The document provides stock market index data from several US stock indexes as of Tuesday, August 11, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving average positions. The S&P 500 index was down 20.6% on the day. Most indexes saw over 50% of stocks declining, with advances ranging from 37-49% depending on the index. Moving averages were mostly in positive territory across various periods measured.
The document provides market index data and statistics for several US stock market indices as of Tuesday, May 19, 2009. 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, number of constituent stocks, moving averages, and highs/lows. Overall, most indices were up over the past day and week with advances outweighing declines.
The document provides market performance data for various stock market indexes as of October 12, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks trading above or below moving averages for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000, and Russell 3000. Overall, the indexes saw price increases in the range of 9-24% over the past week and month, with reductions in trading volume ranging from 3-28%. The majority of constituent stocks for each index were trading above short-term and long-term moving averages.
The document provides market index data for several US stock market indices as of Tuesday, September 15, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed mixed performance for the day with price changes ranging from -10% to +31.4%.
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 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 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, October 16, 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 showed declines in price of 24-77% compared to the prior day or week.
The document provides stock market index data from multiple US stock indexes as of Wed 11-Nov-09. It includes metrics such as price changes, moving averages, highs and lows for daily and weekly time periods. The S&P 500, Nasdaq 100, Russell 1000 and Russell 2000 indexes all saw price increases between 36-50% and advances between 67-92% for the periods reported.
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.
The document provides market index data for several US stock market indices as of Tuesday, November 10, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index. The S&P 500, Nasdaq 100, S&P 100, Russell 1000, Russell 2000, and Russell 3000 indices all saw price increases between 1-3% over the past day and week according to the data presented.
- The document provides market index data and statistics for several US stock market indices as of Tue 08-Sep-09, including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
- It shows metrics such as price changes, daily advances/declines, moving average positions, high/low breakouts, and weekly trend data.
- The indices were generally up between 21-51% over various periods, with high percentages of components above moving averages and setting new highs or breaking out of lows.
The document provides market index data and statistics for several US stock market indices as of Tue 22-Sep-09. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000, reporting on daily and weekly price movement statistics, moving average positions, highs and lows, and breakout levels for each index.
The document provides market performance data for several major US stock market indices including the S&P 500, Nasdaq 100, Russell 1000, Russell 2000, and Russell 3000. It includes information on daily and weekly price movement, percentages of stocks trading above or below moving averages, and numbers of new highs and lows set within the indices. Overall, the data shows predominantly positive market movement across all indices over the past week and month.
The document provides market index data from multiple US stock indexes as of November 23, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100 over various periods from 3 days to over 200 weeks. The indexes showed price increases in the 77-88% range for the period with mixed advances/declines and varying performances across industry sectors and market caps.
The document provides market index data for several US stock market indices as of September 17, 2009. It includes daily and weekly performance statistics as well as data on moving averages and highs/lows for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. All indices showed significant price declines from 15-38% over the period analyzed with the Nasdaq 100 declining the most at 26%.
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 index data for several US stock market indices such as the S&P 500, Nasdaq 100, and Russell 1000 and 3000 as of November 9, 2009. It includes statistics on the percentage of components above or below moving averages, the percentage hitting new highs and lows, and breakout levels over different time periods. Overall, the indices showed strong upward momentum with most components performing well above moving averages and many reaching new highs for the period.
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 for several major US indexes as of June 4, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index, it summarizes daily and weekly trends, movement relative to moving averages, highs and lows, and breakout levels over different time periods. All indexes showed price increases between 29-54% over the past year.
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 market index data for several US stock market indices such as the S&P 500, Nasdaq 100, and Russell family of indices. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below various moving averages. Overall, the data shows strong upward movement across all indices in recent periods with high percentages of price increases and stocks trading above moving averages.
The document provides stock market index data from several US stock indexes as of Tuesday, August 11, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving average positions. The S&P 500 index was down 20.6% on the day. Most indexes saw over 50% of stocks declining, with advances ranging from 37-49% depending on the index. Moving averages were mostly in positive territory across various periods measured.
The document provides market index data and statistics for several US stock market indices as of Tuesday, May 19, 2009. 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, number of constituent stocks, moving averages, and highs/lows. Overall, most indices were up over the past day and week with advances outweighing declines.
The document provides market performance data for various stock market indexes as of October 12, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks trading above or below moving averages for indexes like the S&P 500, Nasdaq 100, Russell 1000 and 2000, and Russell 3000. Overall, the indexes saw price increases in the range of 9-24% over the past week and month, with reductions in trading volume ranging from 3-28%. The majority of constituent stocks for each index were trading above short-term and long-term moving averages.
The document provides market index data for several US stock market indices as of Tuesday, September 15, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed mixed performance for the day with price changes ranging from -10% to +31.4%.
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 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 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%.
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.
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 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%.
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 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.
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.
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.
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 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.
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 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 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.
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.
The document provides market index data and statistics for several US stock market indices as of November 18, 2009. It includes the daily and weekly performance statistics as well as moving average and high/low data for indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides stock market index data and statistics for several US stock market indices as of Thursday, August 13, 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.
The document provides market index data for several US stock market indices as of Friday, August 14, 2009. It includes daily and weekly statistics on price movement, trading volume, moving averages, and high/low levels 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 Thursday, August 20, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages for indices like the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. Overall, the indices saw price increases in the 60-50% range for the period reported with decreases in trading volume of around 5-20%.
The document provides market index data for several US stock market indices as of October 22, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indices such as the S&P 500, Nasdaq 100, Russell 1000 and Russell 2000. Charts show the percentage of components in each index trading above or below various moving averages and the net percentages of new highs and lows reached within the indices.
The document provides market index data for several US stock market indices as of October 13, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below various moving averages. The S&P 500 and Russell indexes saw price declines of 20-28% over this period, while the Nasdaq rose 4%. Trading volume was up for all indexes. The majority of constituent stocks for each index were above short-term moving averages but below percentages were higher for longer-term averages.
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. For each index, it includes daily and weekly statistics on price changes, moving averages, highs and lows, and other metrics. All indices showed declines in price of 25-50% over the period analyzed.
The document provides market index data from July 22, 2009 including:
- Major US stock market indices like S&P 500 and Nasdaq 100 were up between 9-11%
- Russell indices like Russell 1000 and Russell 2000 saw gains between 13-28%
- Daily market activity statistics such as percentage of advancers and decliners for each index
- Moving average positions and breakout levels for short and long term periods
The document provides market index data for several US stock market indices as of Friday, August 7, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages for indices like the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. High and low prices and breaking out of highs and lows are also summarized for each index.
The document provides stock market index data for several major US stock indexes as of July 29, 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 Russell 2000. All indexes showed double-digit percentage price declines over the past day and week and mostly negative performance relative to moving averages and breakdown levels.
The document provides market index data for several US stock market indices as of August 28, 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. High and low prices and breakout levels are also listed for each of the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 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 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 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.
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 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 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 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.
The document provides market index data for several major US stock market indices as of Thursday, November 19, 2009. It includes daily and weekly statistics on price movement, trading volume, and other indicators for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed significant price declines from 80-90% compared to the prior day or week.
The document provides stock market index data for several major US stock indexes as of Friday, November 13, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index above or below moving averages. The S&P 500 and other indexes saw price increases of over 50% and high percentages of stocks above moving averages for periods of 3 days, 3 weeks, and longer.
The document provides stock market index data from November 12, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. It includes daily and weekly price movement statistics, percentages of stocks trading above or below moving averages, and high and low points for each index over different time periods. All indexes saw price declines between 62-77.5% over the period examined.
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 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/
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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).