The document provides stock market index data for several major US stock indices as of October 21, 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 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 stock market index data from September 23, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the daily and weekly performance of each index such as advances, declines, moving averages, highs and lows.
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 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 from various US stock exchanges as of Wednesday, December 2nd, 2009. It includes performance summaries and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. The indexes were up or down modestly for the day and week, with various percentages of constituent stocks trading above or below moving averages.
The document provides market index data 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 several US stock market indices as of Wednesday, December 9th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices, showing statistics such as price changes, moving averages, highs and lows, and advancing vs declining stocks. All indices showed price increases from 26-29% over the past year except the Russell 2000 which was up only 2.26%.
This document provides 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 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 stock market index data from September 23, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes information on the daily and weekly performance of each index such as advances, declines, moving averages, highs and lows.
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 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 from various US stock exchanges as of Wednesday, December 2nd, 2009. It includes performance summaries and statistics for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. The indexes were up or down modestly for the day and week, with various percentages of constituent stocks trading above or below moving averages.
The document provides market index data 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 several US stock market indices as of Wednesday, December 9th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices, showing statistics such as price changes, moving averages, highs and lows, and advancing vs declining stocks. All indices showed price increases from 26-29% over the past year except the Russell 2000 which was up only 2.26%.
This document provides 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 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 from October 26, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. It includes information such as the index price and percentage change, daily and weekly advance/decline data, moving average positions, and high/low breakout levels.
The document provides market index data and statistics for several US stock market indices as of Tuesday, August 25, 2009. It includes details such as price changes, percentage of stocks trading higher or lower, moving average positions, and high and low points for 3-day, 13-day, 55-day and 233-day periods. The indices 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 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.
This document provides market index data for several US stock market indices as of October 29, 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. All indices showed positive price movement and daily advances over 80% for the period reported.
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.
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 for several US stock market indices as of Friday, November 6, 2009. It includes daily and weekly performance statistics as well as information on moving averages and high/low prices for each index. 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 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 market index data for several major US stock market indices as of Thursday, November 19, 2009. It includes daily and weekly statistics on price movement, trading volume, and other indicators for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed significant price declines from 80-90% compared to the prior day or week.
The document provides stock market index data for several 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 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.
The document provides stock market index data for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 as of September 30, 2009. It includes information such as the daily percentage of advancing and declining stocks, moving average data, high/low percentages and breakout information.
The document provides market index data 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 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 stock market index data from October 27, 2009. It includes summaries of daily and weekly performance statistics as well as information on moving averages and high/low prices for several major US stock market indices, including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. Most indices saw price declines between 19-65% and had more days with prices down versus up over the daily and weekly periods reported.
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 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.
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%.
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 stock market index data for several major US stock indexes as of July 29, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes such as the S&P 500, Nasdaq 100, Russell 1000 and Russell 2000. All indexes showed double-digit percentage price declines over the past day and week and mostly negative performance relative to moving averages and breakdown levels.
The document provides market index data 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 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 from October 26, 2009 for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indexes. It includes information such as the index price and percentage change, daily and weekly advance/decline data, moving average positions, and high/low breakout levels.
The document provides market index data and statistics for several US stock market indices as of Tuesday, August 25, 2009. It includes details such as price changes, percentage of stocks trading higher or lower, moving average positions, and high and low points for 3-day, 13-day, 55-day and 233-day periods. The indices 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 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.
This document provides market index data for several US stock market indices as of October 29, 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. All indices showed positive price movement and daily advances over 80% for the period reported.
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.
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 for several US stock market indices as of Friday, November 6, 2009. It includes daily and weekly performance statistics as well as information on moving averages and high/low prices for each index. 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 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 market index data for several major US stock market indices as of Thursday, November 19, 2009. It includes daily and weekly statistics on price movement, trading volume, and other indicators for the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed significant price declines from 80-90% compared to the prior day or week.
The document provides stock market index data for several 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 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.
The document provides stock market index data for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 as of September 30, 2009. It includes information such as the daily percentage of advancing and declining stocks, moving average data, high/low percentages and breakout information.
The document provides market index data 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 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 stock market index data from October 27, 2009. It includes summaries of daily and weekly performance statistics as well as information on moving averages and high/low prices for several major US stock market indices, including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. Most indices saw price declines between 19-65% and had more days with prices down versus up over the daily and weekly periods reported.
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 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.
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%.
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 stock market index data for several major US stock indexes as of July 29, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indexes such as the S&P 500, Nasdaq 100, Russell 1000 and Russell 2000. All indexes showed double-digit percentage price declines over the past day and week and mostly negative performance relative to moving averages and breakdown levels.
The document provides market index data 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 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 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 stock market index data for several US stock market indices as of July 24, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks closing above or below moving averages. The S&P 500 index closed at 979.26, up 35.6% on the day. Over the past week, 88.4% of its constituent stocks advanced while 11% declined.
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 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 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, September 15, 2009. It includes daily and weekly performance statistics as well as information on moving averages and highs/lows for indices such as the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. The indices showed mixed performance for the day with price changes ranging from -10% to +31.4%.
The document 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 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 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.
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 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 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 appears to be analyzing the short term, intermediate term, and long term technical indicators and trends for various stock market indexes and commodities. In the short term, most indexes are showing bearish trends and stochastic indicators in oversold territory. In the intermediate term, some indexes and commodities are showing bullish trends and moving averages in bullish territory. In the long term, several indexes and commodities have bearish trends and stochastic indicators in oversold territory again.
The document appears to be a market analysis report that provides technical indicators for various stock market indexes and commodities across short, medium, and long-term timeframes. It lists the closing price, momentum, position, stochastic, high/low values and trend indicators. Most indexes and commodities are shown to be in a bearish position in the short-term, with some turning bullish in the medium and long-term according to the indicators.
The document appears to be a market analysis report that provides technical indicators for various stock market indexes and commodities across short, medium, and long-term timeframes. It lists the closing price, momentum, position, stochastic, high/low values and trend indicators. Most indexes and commodities are shown to be in a bearish position in the short-term, with some turning bullish in the medium and long-term according to the indicators.
The document provides stock market index data from various US stock exchanges. It shows that on December 7th, 2009, most major indexes were down between 8-15% and trading volumes were also down significantly, between 40-70% lower than normal levels. The S&P 500 fell the least at 8.4% while the Nasdaq 100 dropped the most with a 15% decline. Most indexes had over 50% of their components trading below their moving averages.
The document provides technical analysis data for various stock market indexes and commodities. It includes the closing price, momentum, position, stochastic readings, potential high and low values, and trend indicators for short, intermediate, and long term timeframes. Overall the data suggests bearish momentum in the short term that could turn bullish in the intermediate to long term for many of the assets according to the indicators.
This document provides technical analysis indicators for various stock market indexes and commodities for short-term (ST), intermediate-term (IT), and long-term (LT) time frames as of December 4, 2009. It lists the closing price, momentum, private comments on the stochastic indicator, and other technical analysis metrics. Most indexes and commodities are shown to be in bullish trends for the IT and LT time frames.
This document provides market index data for several US stock market indices as of Friday, December 4th, 2009. It includes data on the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000 indices such as price changes, percentage of stocks trading above or below moving averages, high and low prices, and breakout statistics. Overall, the indices showed strong gains over various periods with many component stocks trading above common technical indicators.
The document provides market index data for several US stock market indices as of Thursday, December 3, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below moving averages. The S&P 500 and other major indices saw price declines of around 60% compared to the prior day/week, with most individual stocks also lower. Trading volume was up modestly for most indices.
The document provides stock market index data 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 stock market index data and statistics for several US stock market indices including the S&P 100, Nasdaq 100, S&P 500, Russell 1000, Russell 2000, and Russell 3000. It includes current index prices and percentage changes, daily and weekly statistics on advancing and declining stocks, and data on moving averages and stocks breaking above or below key levels.
The document provides market index data for several US stock market indices such as the S&P 500, Nasdaq 100, and Russell family of indices. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index that are above or below various moving averages. Overall, the data shows strong upward movement across all indices in recent periods with high percentages of price increases and stocks trading above moving averages.
The document provides stock market index data for several major US stock indexes as of Friday, November 13, 2009. It includes daily and weekly statistics on price movement, trading volume, and percentages of stocks within each index above or below moving averages. The S&P 500 and other indexes saw price increases of over 50% and high percentages of stocks above moving averages for periods of 3 days, 3 weeks, and longer.
The document provides stock market index data from multiple US stock indexes as of Wed 11-Nov-09. It includes metrics such as price changes, moving averages, highs and lows for daily and weekly time periods. The S&P 500, Nasdaq 100, Russell 1000 and Russell 2000 indexes all saw price increases between 36-50% and advances between 67-92% for the periods reported.
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.
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.
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.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
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.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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
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.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
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.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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.