Help - StockWhip Options
You can set various options for
StockWhip by selecting 'Options' from the 'Tools' menu.
-
Current Prices Update Period - this
is the number of minutes StockWhip waits between downloading
the latest share prices for all your held and watchlist
shares
-
Historical Prices Update - the is
the number of hours StockWhip checks for updates to the
historical prices for the last few days for all your held
and watchlist shares
-
Detection of Stock Splits - the
multiple by which a share's value must decrease in one day
to trigger StockWhip's automatic share split adjustment functionality.
-
Detection of Reverse Stock Splits -
the multiple by which a share's value must increase in one
day to trigger StockWhip's automatic reverse share split adjustment
functionality.
-
Shorter Exponential Moving Average for
Index Trend (days) - together with the longer EMA allows
basic trend analysis of a portfolio's comparison index. When
the shorter EMA value is above the longer EMA value, the
index is deemed to be rising.
-
Longer Exponential Moving Average for
Index Trend (days) - see shorter EMA above
-
-
Country of Residence - used for
determining the start of your Financial Year to assist with
tax reporting
-
Task Tray Popup Summary - Choose the portfolio to
have the daily performance figures shown of in the task tray
icon text popup.
-
Upper and Lower Price Warnings -
choose auto
or manual price warnings
-
Hide Transactions From Last FY - When selected, StockWhip
will not show any transactions from before the start of the current
financial year.
-
Remember Brokerage Value - When not selected, StockWhip
will not remember or ask to remember your brokerage value in the
Purchase or Sell Shares dialogs.
-
Warn on Negative Cash - When selected, StockWhip
will warn you about a negative balance in a Cash Reserve with
a task tray popup.
-
Ask Before Getting Prices On Startup - When selected, and
if historical prices are out of date on program startup, StockWhip
will ask you whether or not to retrieve the latest historical prices
otherwise it will just proceed without asking.
-
Clean ALL Cached Stock Prices -
removes all locally cached price data. Warning - a lot of
data is accumulated, and StockWhip will need to retrieve
much of this from the internet directly afterwards. Data is
cached at $HOME$\Local Settings\Application
Data\DarkTurtles\StockWhip\Cache
-
Refresh Capital Records - The
capital record caches the value of your portfolios at every
day in your history. Refreshing them causes StockWhip to go
back and recalculate all of these. This could take a few
minutes, and you should only do this if you think StockWhip
has some incorrect portfolio performance figures
-
-
Forget Bad/Delisted Stock Codes - If you had to mark a
stock as bad or delisted because of internet connection problems
or otherwise, you can unmark such a stock as delisted here.
StockWhip will then attempt to collect price data for this stock
again.
-
Reset Options to Defaults - resets
numerical values above to their defaults
-
Weeks of Data for LR Value - specifies the number of weeks of
(weekly) data used to calculate the value of the linear regression
line of the stock.
-
Weeks of Data to annualise LR Rate - the number of weeks in the past
to take as a start point to work out the LR Value rate of change which is
then annualised to produce the LR Rate.
-
LR Value adjustment (in ATRs) - the LR Value may be adjusted up (down)
from the natural LR Value (linear regression line) by adding a value of N*ATR
where N is this adjustment value and ATR is the average true range of the stock over
the same number of weeks that the LR value is calculated over.
-
Upper Price Offset (in ATRs) - this allows you to define the value of the
auto upper stock price setting. The auto upper price for a stock is calculated as
(linear regression value) + N*ATR, where N is the specified value, and ATR is the
average true range.
-
Lower Price Offset (in negative ATRs) - this allows you to define the value of the
auto lower stock price setting. The auto lower price for a stock is calculated as
(linear regression value) - N*ATR, where N is the specified value, and ATR is the
average true range.
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