Component indices are organized by category and group.

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• There are 3 types of indices: daily, rolling 7-day cumulative, and rolling 30-day cumulative. A combo box allows you to quickly select the type of the index.
• Topics are organized by category and group and are color coded for quick identification.
• Top ranked indices are highlighted.
   
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• The composite index and its 17 component indices for the last 7 days.
• Advances and declines, including day-on-day changes, day-on-day percent changes, and ranks, for the last recorded component indices.
• Statistics for component indices, including highs, lows, averages, and standard deviations, for 4 time horizons -- latest 7, 30, 90, and 365 days.
   
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• The 17 component percent indices for the last 7 days.
• Advances and declines, including day-on-day changes, day-on-day percent changes, and ranks, for the last recorded percent indices.
• Statistics for component percent indices, including highs, lows, averages, and standard deviations, for 4 time horizons -- latest 7, 30, 90, and 365 days.
   
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• 3 time horizons are used: latest 7 and 30 days, and year-to-date.
• Statistics include: open, close, high, low, median, average, and standard deviation, for each time horizon.
• day-on-day change, day-on-day percent change, and rank, at close.
   
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• 3 time horizons are used: latest 7 and 30 days, and year-to-date.
• Statistics include: open, close, high, low, median, average, and standard deviation, for each time horizon.
• day-on-day change, day-on-day percent change, and rank, at close.
   
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• 3 uncertainty indices: moral, economic, and global.
• 5 destructive potential codes are associated with the economic uncertainty index: X-extreme, V-very high, H-high, S-significant, and U-unclassified.
• 4 terrorism alert indices (leading indicators): 10-day, 30-day, 60-day, and extreme.
• 3 threat level codes are associated with terrorism alert indices: green-low, blue-moderate, yellow-high, orange-very high, and red-extreme.

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• Starting with 2002, each news record includes: date, venue, event, sources and references, and education/research links.
• Categories of events include: politics, economics, finance, legislation, justice, health, religion, science and technology, war, rebellion, terrorism, protest, acts of God. Events are color coded.
• Sources of, and links to, web-based information include: governments, NATO, the United Nations, central banks, defense organizations, courts, churches, research organizations, corporations, banks, stock markets, and newspapers.

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• Statistical data are automatically calculated and displayed: open, close, high, low, minimum, maximum, median, average, standard deviation, and correlation.
• 2 frequency charts are also automatically displayed. These allow you to quickly compare the frequency distributions of the selected index over 2 time periods: the time period you select, and the time period for the full time series (all available data).

The tool is easy to use:

• Combo boxes allow you to quickly select both the index and its type. There are 3 types of indices: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• Scroll bars allow you to specify the time horizon (end point and window) for the charts.
• A spinner allows you to select the kind of synchronized frequency chart you wish to display: histogram, probability density, or cumulative probability.
   
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• Statistical data are automatically calculated and displayed: open, close, high, low, minimum, maximum, median, average, standard deviation, and correlation.
• A regression analysis for the 2 selected indices is performed automatically. The calculated R² is displayed. The empirical data and the regression line are graphed.
• The correlations between the first selected index, and each of the global state-of-mind component indices, are calculated, displayed, and charted. The minimum and maximum correlations are automatically highlighted. Color coding is used for quick identification of index components.

The tool is easy to use:

• Combo boxes allow you to quickly select the 2 indices you wish to compare, and their type. There are 3 types of indices daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• Scroll bars allow you to specify the time horizon (end point and window) for the charts.

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• Statistical data are automatically calculated and displayed: open, close, high, low, minimum, maximum, median, average, standard deviation, and correlation.
• A regression analysis for the 2 selected percent indices is performed automatically. The calculated R² is displayed. The empirical data and the regression line are automatically graphed.
• The correlations between the first selected percent index, and each of the global state-of-mind percent indices, are calculated, displayed, and charted. The minimum and maximum correlations are automatically highlighted. Color coding is used for quick identification of index components.
• 4 frequency charts are also automatically displayed. These allow you to quickly compare the frequency distributions of the 2 selected indices over 2 time periods: the time period you select, and the time period for the full time series (all available data).

The tool is easy to use:

• Combo boxes allow you to quickly select the 2 percent indices you wish to compare, and their type. There are 3 types of indices: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• Scroll bars allow you to specify the time horizon (end point and window) for the charts.
• A spinner allows you to select the kind of synchronized frequency charts you wish to display: histogram, probability density, or cumulative probability.

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• 4 surface charts let you visualize the distributions of the composite index and the composite percent index, by group and by component (topic).
• 21 surface charts let you visualize the distributions of the group indices and the group percent indices, by component (topic).
• Statistical data are automatically calculated and displayed for both group indices and component indices: open, close, minimum, maximum, median, average, standard deviation, change, and percent change.

The tool is easy to use:

• Combo boxes allow you to quickly select the type of the index. There are 3 types of indices: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• Scroll bars allow you to specify the time horizon (end point and window) for the charts.
• Charts are automatically synchronized by default.

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• The correlation charts show you how any component percent index (the primary index) is correlated with any two other component percent indices (the related indices), and how these correlations vary with time.
• Correlations data are automatically calculated and displayed: open, close, minimum, maximum, median, average, and standard deviation.
• The correlations between the first selected percent index, and each of the global state-of-mind percent indices, are calculated, displayed, and charted. The minimum and maximum correlations are automatically highlighted. Color coding is used for quick identification of index components.
• 4 frequency charts are also automatically displayed. These allow you to quickly compare the frequency distributions of the 2 correlations over 2 time periods: the time period you select, and the time period for the full time series (all available data).

The tool is easy to use:

• Combo boxes allow you to quickly select the percent indices and their type. There are 3 types of indices: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• Another combo box allows you to select the rolling correlation window: rolling 7-day, rolling 30-day, rolling 90-day, rolling 120-day, or rolling 365-day..
• Scroll bars allow you to specify the time horizon (end point and window) for the charts.
• A spinner allows you to select the kind of synchronized frequency charts you wish to display: histogram, probability density, or cumulative probability.

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• The 289 (17x17) correlations are arrayed by category and group. You can see at a glance how moral components correlate with economic components, and with other moral components. In particular, you can see the relationships between bankers, technology, justice, law, and religion; and between these and the moral components -- autonomy (freedom and slavery), ethics (good and evil), and logic (truth and deceit).
• Color coding allows you to quickly identify which state-of-mind component pairs are strongly positively correlated, which are strongly negatively correlated, and which are weakly correlated.
• The distribution of the correlations is calculated and displayed automatically. You can quickly see how many correlations are positive, how many are negative, and how many are weak.

The tool is easy to use:

• Combo boxes allow you to quickly select the kind and type of index you want to analyze. The 2 kinds are: index and percent index. The 3 types are: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• You can specify any time horizon (end point and window).
• You can specify or change the strong and weak correlation levels.

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The tool is equipped with an embedded Worldview that allows you to interpret the meaning and structure of current and past world events, to make sense of the people's state of mind and its dynamics, and to identify the "constructive" and "destructive" factors that underlie the current environment.

• You can quickly change the embedded Worldview to suit your understanding and interpretation. You can specify whether a correlation between 2 indices is GOOD, BAD, or NOT RELEVANT. For example, you can choose to associate the meaning GOOD with a strong positive correlation between Money and Freedom, and the meaning BAD with a strong negative correlation between Debt and Freedom.
• The "constructive" and "destructive" factors that the indices imply for any time period you specify, using your Worldview, are produces automatically in CD. The factors are derived from the works of the top philosophers.

You have access to the 289 (17x17) cross-correlations for the 17 components of the composite state of mind index, for any time period.

• The correlations are arrayed by category and group. You can see at a glance how economic components, for example, correlate with other economic components, and with moral components. In particular, you can see the relationships between bankers, technology, and justice; and between these and the moral components -- freedom and slavery, good and evil, and truth and deceit.
• Color coding allows you to quickly identify which state-of-mind component pairs are GOOD, and which are BAD.
• The Good Consonant/Bad Consonant/Good-Bad Dissonant Correlations Matrix allows you to quickly identify GOOD-GOOD consonant index component pairs, BAD-BAD consonant index component pairs, and GOOD-BAD dissonant index component pairs. GOOD-GOOD consonant pairs are opportunities that can be exploited for profit. Persistent BAD-BAD consonant pairs must be avoided, mitigated, or even militated, before they can harm irreversibly your operation. GOOD-BAD dissonant pairs provide evidence of disorder, confusion, perplexity, frustration, or anxiety.
• The distribution of the correlations is calculated and displayed automatically. You can quickly see how many correlations are GOOD, how many are BAD, and how many are weak -- actually and ideally.

The tool is easy to use:

• Combo boxes allow you to quickly select the kind and type of index you want to analyze. The 2 kinds are: index and percent index. The 3 types are: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• You can specify any time horizon (end point and window).
• You can specify or change the strong and weak correlation levels.

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• You can see at a glance the 17 cross-correlations, for any of the 17 components of the composite state of mind index, and for any time period you specify. For example, you can see how the selected state of mind component correlates with economic components and with moral components. Specifically, you can see how bankers, technology, or justice correlate with the moral components -- freedom and slavery, good and evil, and truth and deceit --, with the money components -- bankers, capitalism, debt, free trade, and money --, and with the science and technology components.
• The correlations are arrayed by category and group, and are color coded to highlight their valence (positive or negative).
• The correlations are also automatically classified and color coded as GOOD, BAD, or WEAK.
• Important consonances and dissonances are highlighted: GOOD-GOOD consonant index component pairs, BAD-BAD consonant index component pairs, and GOOD-BAD dissonant index component pairs. GOOD-GOOD consonant pairs are potential opportunities for gain or profit. Persistent BAD-BAD consonant pairs must be avoided, blocked, mitigated, or even militated, before they can harm irreversibly your operation. GOOD-BAD dissonant pairs provide evidence of disorder, confusion, perplexity, frustration, or anxiety.
• The distribution of the correlations is calculated and displayed automatically. You can quickly see how many correlations are GOOD, how many are BAD, and how many are WEAK -- actually and ideally.
• You can quickly change the embedded Worldview, which is stored in GB, to suit your understanding and interpretation of the state of the world. (See the GB entry above.)

The tool is easy to use.

• A combo box allows you to quickly select the state-of-mind component index you want to analyze.

All other input is automatically fetched from GB:

• Combo boxes allow you to quickly select the kind and type of index you want to analyze. The 2 kinds are: index and percent index. The 3 types are: daily, rolling 7-day cumulative, and rolling 30-day cumulative.
• You can specify any time horizon (end point and window).
• You can specify or change the threshold levels for strong and weak correlations.

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• Intelligence records include 10 items: WHEN (from/to dates and duration in days), WHO, WHAT (opportunity or threat), WHERE, WHY (out-of-whack correlations), CONCLUSION (action readiness), and applicable REFERENCES, and LINKS.
   
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• 3 uncertainty indices: moral, economic, and global.
• 5 destructive potential codes are associated with the economic uncertainty index: X-extreme, V-very high, H-high, S-significant, and U-unclassified.
• 4 terrorism alert indices (leading indicators): 10-day, 30-day, 60-day, and extreme.
• 5 threat level codes are associated with terrorism alert indices: green-low, blue-moderate, yellow-high, orange-very high, and red-extreme.

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• 5 terrorism alert codes are used: RED, ORANGE, YELLOW, BLUE, and GREEN.
• The threat levels for the 5 terrorism alert codes are determined empirically. The calibration is based on the probability density for the 30-day terrorism alert index for the time period starting 1-Apr-01.
• The MI2 30-day terrorism alert codes corroborate the 5 threat level codes of the U.S. Department of Homeland Security Advisory System; but are otherwise unrelated to that system.

All pt input is automatically fetched from ChartTU:

• Combo boxes allow you to quickly select the type of terrorism alert index you want to analyze. The 3 types are: 10-day, 30-day, and EXT (Extreme). The EXT terrorism alert index is the minimum of the 10-day, the 30-day, and the 60-day terrorism alert indices.
• Another combo box allows you to select the rolling window to use for calculating the frequency distribution for the daily likelihood of terrorism, by terrorism alert code. There are 6 possible rolling windows: 7 days, 30 days, 60 days, 90 days, 120 days, and 365 days.
• You can specify any time horizon (end point and window).

• 5 economic uncertainty codes are used: X-extreme, VH-very high, H-high, S-significant, and U-unclassified.
• EXTREME means there is potential for 3,000 or more deaths per terrorism incident; SIGNIFICANT means there is potential for up to 50 deaths per incident.

All pu input is automatically fetched from ChartTU:

• A combo box allows you to select the rolling window to use for calculating the frequency distribution for the daily destructive potential of terrorism, by destructive potential code. There are 6 possible rolling windows: 7 days, 30 days, 60 days, 90 days, 120 days, and 365 days.
• You can specify any time horizon (end point and window).

• The search engine locates the terrorism alert pattern (or the economic uncertainty pattern) that is "best" correlated with that for any time period you specify. For example, you can search for the terrorism alert pattern for the 30-, 60-, or 90-day period that resembles most the terrorism alert pattern for the 30-, 60-, or 90-day period ending 11-Sep-01. Or, you can search for the time period for which the terrorism alert pattern resembles most the pattern for the last 30, 60, or 90 days.
• Statistical data are automatically calculated and displayed: the correlation coefficient, its standard error, the associated R²; and the confidence interval for the correlation coefficient for any confidence level you specify.

The tool is easy to use.

• A combo box allows you to quickly select the kind of index you want to analyze: 10-day, 30-day, or EXT (Extreme) terrorism alert index; or ECON (economic uncertainty) index.
• You can specify the maximum allowed overlap (0%-100%) between the pattern you specify and the "best" correlated pattern.
• You can specify any time period (end point and window) for the search pattern.

• You can visualize at a glance both the search terrorism (or economic uncertainty) pattern and the correlated pattern. The correlated pattern is the pattern with the highest correlation coefficient.
• The chart helps you answer tough questions such as:
  • how close are we to another 9/11 terrorist attack? and
  • what past time period has an economic uncertainty pattern that resembles most the pattern for the most recent 30 or 90 days?
• Chronological accounts of major world events, for both the search period and the the correlated period, are automatically fetched and displayed. The corresponding daily ECON-economic uncertainty indices and daily terrorism alert codes (10-day, 30-day, and EXT-extreme) are also displayed. Color coding is used for quick identification of high uncertainty and high terrorism alert periods.
• Correlation statistics are automatically displayed: correlation coefficient, R², standard error, and confidence interval for any confidence level you specify.
   
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• Displays the full sequences of observed terrorism alert codes and the 1-day transitions among 3 sets of terrorism alert codes: 10-day, 30-day, or EXT (Extreme)
• The terrorism alert system is modeled as a 5-state discrete-parameter Markov chain. The 5 states are the 5 terrorism threat level codes: green-low, blue-moderate, yellow-high, orange-very high, and red-extreme.
• Computes the maximum-likelihood estimates of the 1-step transition probability matrix, for any terrorism alert index and for any time period you specify.
• The 1-step transition frequency matrix is also calculated.
• Pie charts allow you to visualize all the probability distributions of the terrorism alert code in the 7-day forecast.

The tool is easy to use.

• Color coding is used for quick identification of threat levels.
• A combo box allows you to quickly select the terrorism alert index you wish to analyze: 10-day, 30-day, or EXT (Extreme).
• You can specify any time period (from-to dates). Maximum possible time periods are automatically displayed.
   
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• The following historical uncertainty indices are arrayed: moral and economic. The following historical terrorism alert indices are also arrayed: 10-day, 30-day, 60-day, and EXT-extreme. The economic uncertainty code and the threat level codes for all terrorism alert indices are also displayed, by day.
• The 7-day forecast for the probability distribution of the terrorism alert index is also tabulated, by threat level.
• A pie chart allows you to visualize the probability distribution of the terrorism alert index for the fist day in the forecast.
• A surface chart allows you to visualize the 7-day forecast for the terrorism alert index, by threat level.

• You have access to 3 sequences of terrorism alert codes for 3 terrorism alert indices: 10-day, 30-day, and EXT-extreme. You have also access to the 3 sequences of associated 2-day transitions.
• The terrorism alert system is modeled as a 2-step 5-state discrete-parameter Markov chain. The 5 states are the 5 terrorism threat level codes: green-low, blue-moderate, yellow-high, orange-very high, and red-extreme.
• t2 computes the maximum-likelihood estimates of the 2-step transition probability matrix.
• The 2-step transition frequency matrix is also calculated.
• A pie chart allows you to visualize the forecasted probability distribution of the terrorism alert index.

The tool is easy to use.

• Color coding is used for quick identification of threat levels.
• A combo box allows you to quickly select the terrorism alert index you wish to analyze: 10-day, 30-day, or EXT (Extreme).
• You can specify any time period (from-to dates). Maximum possible time periods are automatically displayed.
   
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