The document provides market index data and statistics for several major US stock market indices. It shows that for the daily period, the S&P 500 and Russell 1000 indices had over 80% of components closing higher, while the Nasdaq 100 had around 60% of components higher. For the weekly period, the indices generally saw around 75-80% of components closing higher. Moving average indicators showed most indices trending above shorter term averages but below longer term averages.
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 stock market index data and statistics for several major US stock indexes as of Thursday, June 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 current price, percentage price change, number of constituent stocks, and percentage volume change from the previous day. It also includes various statistics on market movement patterns and trends over different time periods for each index.
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 stock market index data and statistics for several major US stock indexes as of Tuesday, June 9, 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 the current price, percentage price change, moving averages, highs and lows, and other statistical measures.
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 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 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.
The document provides market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as percentage of advancers and decliners, moving average positions, and high/low breakouts. All indices showed high percentages of daily decliners and were down substantially from 52-week highs.
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 stock market index data and statistics for several major US stock indexes as of Thursday, June 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 current price, percentage price change, number of constituent stocks, and percentage volume change from the previous day. It also includes various statistics on market movement patterns and trends over different time periods for each index.
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 stock market index data and statistics for several major US stock indexes as of Tuesday, June 9, 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 the current price, percentage price change, moving averages, highs and lows, and other statistical measures.
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 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 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.
The document provides market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as percentage of advancers and decliners, moving average positions, and high/low breakouts. All indices showed high percentages of daily decliners and were down substantially from 52-week highs.
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.
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 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 performance data for various stock market indexes as of Monday, October 19th. It includes data on daily and weekly performance percentages, percentages of stocks above or below moving averages, and high and low prices for the indexes over different time periods ranging from 3 days to 233 weeks. The indexes covered are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides 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 for several US stock market indices as of Friday, July 17, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data for several US stock market indices as of Thursday, December 3, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below moving averages. The S&P 500 and other major indices saw price declines of around 60% compared to the prior day/week, with most individual stocks also lower. Trading volume was up modestly for most indices.
The document provides stock market index data 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 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 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 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.
The document provides stock market index data and statistics for several US stock market indices as of May 7, 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, moving averages, highs and lows, and advancing and declining numbers. The statistics indicate overall declines in the indices of 41-63% from their levels, with more stocks showing declines than advances.
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 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 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.
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 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 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 index data for several US stock market indices as of Thursday, September 10, 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 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 stock market index data and performance metrics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 for August 24, 2009. It includes daily and weekly statistics such as percentage of stocks trading higher or lower than the prior day/week, performance of moving averages, and numbers of stocks trading at new highs and lows. The indices were down between 5-43% on the day with more stocks trading lower than higher across all indices.
This document provides market index data for several major US stock market indices as of Friday, September 4, 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. Overall, the indices showed strong positive performance for the period reported.
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.
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 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 performance data for various stock market indexes as of Monday, October 19th. It includes data on daily and weekly performance percentages, percentages of stocks above or below moving averages, and high and low prices for the indexes over different time periods ranging from 3 days to 233 weeks. The indexes covered are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
This document provides 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 for several US stock market indices as of Friday, July 17, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data for several US stock market indices as of Thursday, December 3, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below moving averages. The S&P 500 and other major indices saw price declines of around 60% compared to the prior day/week, with most individual stocks also lower. Trading volume was up modestly for most indices.
The document provides stock market index data 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 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 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 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.
The document provides stock market index data and statistics for several US stock market indices as of May 7, 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, moving averages, highs and lows, and advancing and declining numbers. The statistics indicate overall declines in the indices of 41-63% from their levels, with more stocks showing declines than advances.
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 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 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.
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 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 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 index data for several US stock market indices as of Thursday, September 10, 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 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 stock market index data and performance metrics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 for August 24, 2009. It includes daily and weekly statistics such as percentage of stocks trading higher or lower than the prior day/week, performance of moving averages, and numbers of stocks trading at new highs and lows. The indices were down between 5-43% on the day with more stocks trading lower than higher across all indices.
This document provides market index data for several major US stock market indices as of Friday, September 4, 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. Overall, the indices showed strong positive performance for the period reported.
The document provides market index data for several US stock market indices as of October 28, 2009. It includes the closing price and percentage change from the previous day for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices. It also includes data on the daily and weekly trend, moving averages, highs and lows, and breakouts for each index.
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.
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%.
This document provides a summary of various stock market indexes as of July 31, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes such as price changes, number of constituent stocks, moving averages and high/low levels. The indexes showed mixed performance for the day with the S&P 500 up 6% while the Nasdaq 100 and Russell 2000 were down 2% and 20% respectively. Most indexes saw advances outnumber declines and had positive performances for their short-term and intermediate-term moving averages.
This document provides stock market index data for several major US stock indexes as of Friday, July 10, 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 indexes.
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 and statistics for several US stock market indices as of Wednesday, August 26, 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 levels of stocks breaking out above or below common thresholds. Overall, the majority of indices were up over the past day and week according to the data, with some mixed performance at longer timeframes. Volume was down across most indices compared to the previous day.
This document provides market index data for several US stock market indices as of the close of business on August 17, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for each index over different time periods. The indices shown are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data 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.
This document provides market index data for several major US stock market indices as of May 28, 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 covered are the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000.
The document provides market index data and summaries 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 advancers and decliners, moving average positions, highs and lows, and breakout levels. All indices showed price declines between 9-64% and volume declines between 34-70% for the period reported.
The document provides stock market index data and performance metrics for major US stock indexes like the S&P 500, Nasdaq 100, and Russell indexes for the day of Friday, March 6, 2009. Most indexes were down significantly that day, between 11-18%. The data includes details on the daily and weekly movement of the indexes, percentages of stocks trading above or below moving averages, and breakdowns of winning and losing stocks.
- The document provides market index data and statistics for several US stock market indices as of June 10, 2009.
- It includes daily and weekly statistics on price movement, advancing and declining stocks, and moving averages for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices.
- All indices showed price declines between 23-38% over the periods reported, with over half of constituent stocks declining on a typical day.
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 market index data for several major US stock market indices as of Friday, June 12, 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 averages, highs and lows, and weekly breakdown of advancing and declining stocks.
The document provides market index data for several major US stock market indices such as the S&P 500, Nasdaq 100, and Russell 1000 and 3000 as of June 29, 2009. It includes details on the daily and weekly performance statistics, moving averages, highs and lows for each index. In general, the indices showed advances over declines for the period reported with varying performance levels across the different index groups.
The document provides stock market index data from July 14, 2009. It includes performance summaries for major US indexes such as the S&P 500, Nasdaq 100, Russell 1000 and 2000. The indexes showed price increases between 16-48% over various periods. Most indexes had over 70% of components closing above their moving averages on the daily timeframe and over 50% on the weekly timeframe.
The document provides stock market index data and performance summaries for several major US stock indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 for May 14, 2009. It includes details on price changes, advancing and declining stocks, moving averages, highs and lows, and breakouts for daily and weekly time periods. Overall, most indices saw price increases in the 20-60% range and had more advancing than declining stocks.
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.
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 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 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 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.
This document provides stock market index data for several major US stock indexes as of Thursday, August 27, 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, Russell 2000 and Russell 3000. The indexes showed mixed performance for the day, week and time periods measured, with price changes ranging from up 17% to down 5.58%.
The document provides stock market index data and analysis for several major US stock indexes (S&P 500, Nasdaq 100, etc.) on May 18, 2009. It includes details on the daily and weekly performance of each index such as percentage of stocks advancing or declining, breaking above or below moving averages, and high/low percentages. The indexes saw strong price increases between 80-90% over the past periods analyzed.
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 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 market index data and statistics for several US stock market indices as of Tue 08-Dec-09. It includes details on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, percentage of advancers and decliners, moving average positions, and high/low breakouts. The statistics indicate overall declines across the indices compared to the prior period.
The document provides stock market index data from various US stock exchanges. It shows that on December 7th, 2009, most major indexes were down between 8-15% and trading volumes were also down significantly, between 40-70% lower than normal levels. The S&P 500 fell the least at 8.4% while the Nasdaq 100 dropped the most with a 15% decline. Most indexes had over 50% of their components trading below their moving averages.
The document provides technical analysis data for various stock market indexes and commodities. It includes the closing price, momentum, position, stochastic readings, potential high and low values, and trend indicators for short, intermediate, and long term timeframes. Overall the data suggests bearish momentum in the short term that could turn bullish in the intermediate to long term for many of the assets according to the indicators.
This document provides technical analysis indicators for various stock market indexes and commodities for short-term (ST), intermediate-term (IT), and long-term (LT) time frames as of December 4, 2009. It lists the closing price, momentum, private comments on the stochastic indicator, and other technical analysis metrics. Most indexes and commodities are shown to be in bullish trends for the IT and LT time frames.
The document provides stock market index data from various US stock exchanges as of Wednesday, December 2nd, 2009. It includes performance summaries and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. The indexes were up or down modestly for the day and week, with various percentages of constituent stocks trading above or below moving averages.
The document provides stock market index data for several major US stock indexes as of December 1, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes such as the S&P 500, Nasdaq 100, Russell 1000 and 2000, and S&P 100 over various periods from 3 days to over 200 weeks. All indexes showed strong positive performance over the past week and month according to the data presented.
The document provides stock market data and analysis for various indices and sectors. It includes closing prices, momentum indicators, and short-term, intermediate-term, and long-term outlooks. Most indices and sectors are shown to be in bullish trends in the short-term and intermediate-term with neutral or bearish signals in some cases in the long-term.
This document provides technical analysis data for various stock market indexes and commodities. It includes the closing price, momentum, private analysis of short-term, intermediate-term and long-term trends including whether the trend is bullish, bearish or neutral. Most indexes and commodities were in a bearish short-term trend as of the date listed at the top (Nov 30, 2009).
The document provides stock market index data for several major US stock indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes daily and weekly statistics such as price changes, moving averages, highs and lows, and breakouts for each index. The data shows most indices experiencing large negative price changes and high percentages of stocks trading below moving averages and breaking below previous lows.
The document provides technical analysis data for various stock market indexes and commodities. It analyzes the short-term (ST), intermediate-term (IT), and long-term (LT) trends as well as momentum, position, and other indicators. Most markets are showing bearish short-term trends according to the data, though some indexes and commodities related to gold and silver are bullish in the short or intermediate-term.
The document provides market index data from November 25, 2009. It includes performance summaries for major US stock indexes such as the S&P 500, Nasdaq 100, Russell 1000 and Russell 2000. The indexes showed mixed performance for the day, week and period averages, with some up over 50% for the year and others down nearly 30%. Moving averages and technical indicators are also given for each index.
The document provides market index data and statistics for several US stock market indices as of Tue 24-Nov-09. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, number of constituent stocks, moving average positions and high/low levels. Most indices were down between 8-25% over the period with advances outnumbering declines on a daily and weekly basis for the major indices.
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.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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!
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.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
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.
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/
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.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
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).
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.