Slide 1
MetaStock XIII
New Features OverviewEcoStatSectorStatLocal DataMetaStock
ForecasterSnapshot Data for End of DayNew Systems and
Indicators
EcoStat187 pre-packaged layouts of key macroeconomic indicators
for 11 countries (US, UK, Canada, France, Germany, Italy, Japan,
Australia, Russia, China, and Brazil.)
Key Indicator categories: Business cycle, consumer confidence,
national debt, GDP, inflation, personal savings, monetary, leading
economic indicators, , and foreign trade.
Interpretative help to assess impact of indicators on stocks,
bonds, and commodities.
EcoStat Dashboard Layout (Japan)
EcoStat Personal Savings Rate
EcoStat National Debt
EcoStat Leading Economic Index
EcoStat US Business Cycle
EcoStat Australia Foreign Trade
EcoStat Brazil Inflation
SectorStatBreadth Analysis extended to the sector levelBreadth
Indicators derived from the 6 core breadth values calculated on
each of 10 major US sectors (Advances, Declines, New Highs, New
Lows, Up Volume, Down Volume)Breadth Indicators for each of the 10
sectors include:Advance Decline LineAdvance Decline OscillatorArms
Index OscillatorBreadth ThrustComposite Tape IndexMcClellan
OscillatorMcClellan Oscillator (of New Highs/New Lows)McClellan
Oscillator (of Up/Down Volume)McClellan Summation IndexUp Down
Volume OscillatorRelative Strength (Sector vs. Market)
SectorStatBreadth Indicators on 10 US Sectors including:
Consumer DiscretionaryConsumer StaplesEnergyFinancialHealth
CareIndustrialBasic
MaterialsTechnologyTelecommunicationsUtilities
SectorStat Breadth Indicators (in Indicator Quicklist)
SectorStatAdvance/Decline Line of Tech Sector
SectorStatMcClellan Oscillator of Energy Sector
SectorStatAdvance/Decline Osc. For S&P500, Healthcare, and
Consumer Staples
SectorStatSector Rotation Model
The Sector Rotation Model (SRM) indicator helps gauge the state
of the market relative to the economic cycle.Six sectors are used
in its calculation; Consumer Discretionary, Consume Staples,
Financial, Healthcare, Technology, and Utilities. When Staples,
Healthcare and Utilities are outperforming, the market is weaker.
This is shown by sustained negative values of the SRM and usually
indicates the trouble in the market. Conversely, when Financial,
Technology and Discretionary sectors are outperforming, the SRM
will show sustained positive values. Bull markets usually follow
this condition. SectorStatSector Rotation ExploratonRotate assets
into the top 3 performing sectors monthly
Local Data Support
MetaStock directly reads CSV (text) filesAll standard intervals
supported (1-min to Yearly)Custom intervals supported (3 hour,
7-min, etc)Flexible field orderingAutomatically detects interval by
analyzing the recordsEasily accessed via special custom lists
designed for local dataUse the Downloader to convert old files to
CSV
Local Data Support
1. Create the List2. Add folder with CSV files
3. Chart, Explore, System TestLocal Data Support(CSV formatting
examples)
Intraday Snapshots on Daily BarsGet Intraday snapshots using
MetaStock XIII and DatalinkHourly snapshot data posted for major
markets at 20 minutes past the hour.Top Indices and Sectors for
each market update along with select markets with Indices
subscription.Latest data displayed when chart opens, market scan,
back test or forecast.
New Systems and IndicatorsJim Berg Volatility SystemDick Arms
APC indicatorAlan Hull Moving AverageJustine Pollard Smart Weekly
Long SystemWhat we do today?Indicators and Line studies with
Charts
Scans and Filters with the Explorer
Backtest with the System Tester
Alerts and Commentary with Expert Advisor
What is missing?
Visualizing the Future withThe MetaStock Forecaster
What does The MetaStock Forecaster do?
It analyzes price action AFTER past events to determine the
probabilities of future price action
It answers the questionWhere are prices most likely to be in the
future after an event occurs
A event can be anything including crossovers, divergences,
overbought/oversold, breakouts, or candle patterns.
Technical Analysis emphasizes the pastTechnical Analysis with
the Forecaster emphasizes the futureComplex statistics and
probability analysis are elegantly blended into simple,
easy-to-understand Probability Clouds.
How does it determine ProbabilitiesStatistical and Probability
Analysis TechniquesRandomness CheckSample SizesNormal
DistributionStandard DeviationChi-squaredMean Percent ChangeMargin
of Error Linear Interpolation
The Probability MapThe heart of The Forecaster is the
Probability Map.
The colors represent the tendency of prices to congregate at a
specific level after XX days have passed since an event.
The more intense the color the higher the probability that
prices tend to congregate in that price zone.
What does the probability map suggest?Where are prices going?How
long will it take to get there?What is the direction of price? Long
or short?What should my price targets be?
Pre-defined Event Recognizers Searches the instruments price
data for 67 events
Composite Probability Map(% Based)
Accounts for all CCI Overbought events on Adobe found over the
date range.Map overlaid on Recent Event(Point based)
Map projected forward from the last CCI Overbought event
provides projections for future price movement.Map overlaid on Old
EventMap projected forward from the CCI Overbought event on
December 7, 2012.
1.2.3 Forecast
67 Event Scans in the Explorer
