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 as of Friday, December 19, 2008. It includes daily and weekly statistics on the percentage of advancing and declining issues and moving averages, as well as high/low and breakout data for each index.
- The document provides stock market index data and statistics for several US stock indexes as of December 18, 2008.
- It includes daily and weekly statistics on advances/declines and movements relative to moving averages for indexes like the S&P 500, Nasdaq 100, and Russell 2000.
- Breakouts, high/low levels, and percentages of stocks above or below moving averages are also listed for each index.
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.
This document provides market index data and statistics for several major US stock market indices as of December 17, 2008. It includes daily and weekly percentages of advancing and declining stocks, as well as data on moving averages and high/low prices for each index over different time periods ranging from 3 days to over 200 weeks. The indices included 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 such as the S&P 500, Nasdaq 100, and Russell family of indices for the day of July 1, 2009. It includes details on price changes, advances vs declines, moving averages, and highs and lows for each index. Overall, the indices saw price increases between 20-58% and strong advances over declines for the day and week.
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.
The document provides stock market index data for several US stock market indices including the S&P 100, S&P 500, Nasdaq 100, Russell 1000, Russell 2000 and Russell 3000. It includes information on price changes, advance/decline ratios, moving averages and highs/lows for daily and weekly time periods. Overall, the data indicates mostly positive stock market conditions on the date shown with price increases, more advancers than decliners, and indices generally holding above moving averages and recent highs/lows.
The document provides market index data for several US stock market indices as of October 2, 2009. It includes the daily and weekly performance statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000, including information on moving averages, highs/lows, and breakouts. All indices showed significant price declines from the previous day and week.
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.
- The document provides stock market index data and statistics for several US stock indexes as of December 18, 2008.
- It includes daily and weekly statistics on advances/declines and movements relative to moving averages for indexes like the S&P 500, Nasdaq 100, and Russell 2000.
- Breakouts, high/low levels, and percentages of stocks above or below moving averages are also listed for each index.
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.
This document provides market index data and statistics for several major US stock market indices as of December 17, 2008. It includes daily and weekly percentages of advancing and declining stocks, as well as data on moving averages and high/low prices for each index over different time periods ranging from 3 days to over 200 weeks. The indices included 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 such as the S&P 500, Nasdaq 100, and Russell family of indices for the day of July 1, 2009. It includes details on price changes, advances vs declines, moving averages, and highs and lows for each index. Overall, the indices saw price increases between 20-58% and strong advances over declines for the day and week.
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.
The document provides stock market index data for several US stock market indices including the S&P 100, S&P 500, Nasdaq 100, Russell 1000, Russell 2000 and Russell 3000. It includes information on price changes, advance/decline ratios, moving averages and highs/lows for daily and weekly time periods. Overall, the data indicates mostly positive stock market conditions on the date shown with price increases, more advancers than decliners, and indices generally holding above moving averages and recent highs/lows.
The document provides market index data for several US stock market indices as of October 2, 2009. It includes the daily and weekly performance statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000, including information on moving averages, highs/lows, and breakouts. All indices showed significant price declines from the previous day and week.
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.
The document contains market index data from various US stock markets as of July 27, 2009. It provides price and volume information for indexes like the S&P 100, Nasdaq 100, S&P 500, and Russell indexes. Metrics such as moving averages, highs/lows, and breakouts are also included to analyze the performance and trends of these indexes.
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 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 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 statistics such as the percentage of stocks trading higher or lower than the previous day's close, moving average levels, and high and low prices for each index over different time periods.
The document provides daily and weekly market performance data for several major US stock market indices: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the percentage of stocks trading higher or lower each day and week, as well as data on moving averages and high/low prices for each index.
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 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 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 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.
The document provides daily and weekly market performance data for several major US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on price changes, advancing and declining issues, various moving average levels, and high and low points reached for each index.
This document provides market index data from August 19, 2009. It includes performance summaries for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. For each index, it summarizes daily and weekly performance statistics as well as data on moving averages and high/low levels.
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 market index data for several US stock market indices as of October 5, 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 strong gains in price and advances over declines for the periods reported.
This document provides stock market index data for several major US indexes as of January 7, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. For each index it provides details such as the daily percentage of advancing and declining stocks, moving average percentages, high/low percentages and breakout percentages.
This document provides daily and weekly market data for several major US stock market indices: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on advance/decline percentages, moving averages, high/low percentages, and breakout percentages for each index. All indices showed over 97% of issues advancing or declining on a daily basis, with advance percentages generally in the mid-60s and decline percentages in the low 30s.
This document provides market index data for several US stock market indices as of August 18, 2009. It includes daily and weekly performance statistics as well as information on 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 stock market index data and summaries for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes as of December 26, 2008. It includes daily and weekly statistics on price movement, numbers of advancers and decliners, and positioning relative to simple moving averages.
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 market index data and statistics for several major US stock market indices as of Thursday, March 19, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. All indices saw significant price declines of 12-30% over the period. Most indices had daily advances in the 35-45% range and declines over 55-65%.
The document provides market index data for several US stock market indices as of July 28, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving average positions. The S&P 500 was down 18.4% on the day. Most indices saw over 40% of component stocks declining for the day, with advances outperforming declines on a weekly basis for many indices. Moving averages were mostly in bullish positions across short, intermediate and long-term periods.
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 various US stock market indices on February 9, 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 price movement statistics, moving average positions, high/low levels, and breakout data from the previous trading period.
The document contains market index data from various US stock markets as of July 27, 2009. It provides price and volume information for indexes like the S&P 100, Nasdaq 100, S&P 500, and Russell indexes. Metrics such as moving averages, highs/lows, and breakouts are also included to analyze the performance and trends of these indexes.
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 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 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 statistics such as the percentage of stocks trading higher or lower than the previous day's close, moving average levels, and high and low prices for each index over different time periods.
The document provides daily and weekly market performance data for several major US stock market indices: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the percentage of stocks trading higher or lower each day and week, as well as data on moving averages and high/low prices for each index.
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 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 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 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.
The document provides daily and weekly market performance data for several major US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on price changes, advancing and declining issues, various moving average levels, and high and low points reached for each index.
This document provides market index data from August 19, 2009. It includes performance summaries for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. For each index, it summarizes daily and weekly performance statistics as well as data on moving averages and high/low levels.
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 market index data for several US stock market indices as of October 5, 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 strong gains in price and advances over declines for the periods reported.
This document provides stock market index data for several major US indexes as of January 7, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. For each index it provides details such as the daily percentage of advancing and declining stocks, moving average percentages, high/low percentages and breakout percentages.
This document provides daily and weekly market data for several major US stock market indices: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on advance/decline percentages, moving averages, high/low percentages, and breakout percentages for each index. All indices showed over 97% of issues advancing or declining on a daily basis, with advance percentages generally in the mid-60s and decline percentages in the low 30s.
This document provides market index data for several US stock market indices as of August 18, 2009. It includes daily and weekly performance statistics as well as information on 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 stock market index data and summaries for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes as of December 26, 2008. It includes daily and weekly statistics on price movement, numbers of advancers and decliners, and positioning relative to simple moving averages.
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 market index data and statistics for several major US stock market indices as of Thursday, March 19, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. All indices saw significant price declines of 12-30% over the period. Most indices had daily advances in the 35-45% range and declines over 55-65%.
The document provides market index data for several US stock market indices as of July 28, 2009. It includes daily and weekly statistics on price changes, advancing and declining stocks, and moving average positions. The S&P 500 was down 18.4% on the day. Most indices saw over 40% of component stocks declining for the day, with advances outperforming declines on a weekly basis for many indices. Moving averages were mostly in bullish positions across short, intermediate and long-term periods.
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 various US stock market indices on February 9, 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 price movement statistics, moving average positions, high/low levels, and breakout data from the previous trading period.
The document provides stock market index data for several major US stock indexes (S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, Russell 3000) for January 14, 2009. It includes daily and weekly statistics on price changes, moving averages, highs and lows, and breakouts for each index. The indexes were down significantly (between -85% and -92%) from their peaks.
The document provides stock market index data and statistics for several major US stock indexes as of October 1, 2008. It includes the daily and weekly percentages of advancing and declining stocks. It also summarizes data on moving averages, high and low prices, and breakout levels for each index over different time periods. The indexes showed mostly negative performance across time periods with high percentages of declining stocks and few stocks trading above moving averages or breaking out above high prices.
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 stock market index data from Wednesday, November 4, 2009. It includes performance summaries and technical indicators for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. The indexes showed mixed performance for the day, with the S&P 500 and Russell 2000 declining while the others rose to varying degrees. Most indexes saw the majority of component stocks trading above their short- and long-term moving averages.
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 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.
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 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 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.
This document provides market index data and statistics for several US stock market indices as of market close on December 22, 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 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 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.
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 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 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.
The document provides market index data for several major US stock market indices as of Friday, January 16, 2009. It includes the closing price and percentage change in price and volume for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It also includes data on the daily and weekly trends, moving averages, and highs and lows 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 stock market index data and statistics for several major US stock indexes as of Friday, May 29, 2009. It includes the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. For each index, it lists the current price, percentage price change, number of constituent stocks, and percentage volume change from the previous period. It also includes daily and weekly statistics on advances, declines and various price and volume metrics. Additionally, it shows data on moving averages, high/low percentages, and breakout levels.
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.
This document provides market index data and statistics for major US stock indexes as of Friday, June 5, 2009. It includes daily and weekly percentages of advancing and declining stocks as well as statistics on moving averages and breaking out of highs and 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 declines between 10-24% over the past month.
The document provides stock market index data for several major US indexes as of May 15, 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 current price, daily and weekly percentage of advancers and decliners, and statistics on moving averages and highs/lows.
This document provides stock market index data from January 23, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on price changes, number of constituent companies, moving averages, daily highs and lows, and weekly trends for each index.
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 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.
This document provides market index data for several US stock market indices as of June 26, 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 showing performance are the S&P 100, Nasdaq 100, S&P 500, Russell 2000, Russell 1000, and Russell 3000.
The document provides market index data from February 25, 2009 for several major US stock market indices: S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. For each index, it includes the daily and weekly percentages of advancing and declining stocks, moving average percentages, and high/low percentages over various periods. All indices showed large price decreases from the previous day and were significantly below their highs for the year.
The document provides stock market index data from January 13, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on price changes, daily and weekly statistics on advancing and declining issues, and statistics on moving averages and breaking out above or below key levels.
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 information on index prices, daily and weekly percentages of advancing and declining stocks, moving average positions, and high and low prices reached for each index.
The document provides market index data for several US stock market indices as of Tuesday, November 3, 2009. It includes information such as the daily price change, percentage of advancers and decliners, moving average data, and high/low statistics for 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 indexes 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. The indexes showed mixed performance on the day reported with price increases ranging from 3.2% to 32%.
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 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 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 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 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.
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 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.
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 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.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
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.
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.
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.
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
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
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!
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.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.