Ok, I'm starting my very first ever journal.
The rules of the game:
This is paper trading using public delayed data (finance.yahoo.com and finance.google.com).
Here, I'm playing an oldschool portfolio manager managing $1M.
Multiple positions will be traded at the same time.
At the moment everything is done manually.
Timeframe is normally about 1 week to about 3 months, keeping every position at least 1 full day.
Trading only US markets (stocks, indices, and their options) during regular market hours only.
The start will be 2016-03-15-Tue before market open, or the day after (Wednesday).
The following methods & formula for the FillPrices will be used:
The rules of the game:
This is paper trading using public delayed data (finance.yahoo.com and finance.google.com).
Here, I'm playing an oldschool portfolio manager managing $1M.
Multiple positions will be traded at the same time.
At the moment everything is done manually.
Timeframe is normally about 1 week to about 3 months, keeping every position at least 1 full day.
Trading only US markets (stocks, indices, and their options) during regular market hours only.
The start will be 2016-03-15-Tue before market open, or the day after (Wednesday).
The following methods & formula for the FillPrices will be used:
Code:
Stocks and Indices:
-------------------
Opening a position:
FillPrice = LastPriceAtEOD [ie. that of the previous market day, ie. opening at prev. EOD]
Closing a position:
FillPrice = (Open + High + Low + LastPriceAtEOD) / 4
[the close action can also occur intraday, then the action will be published neartime with the used FillPrice]
Options (of stocks and indices):
--------------------------------
Opening a position:
FillPrice = (Last + Bid + Ask) / 3 [ie. using latest quote of the previous market day, ie. opening at prev. EOD]
Closing a position:
FillPrice = (Last + Bid + Ask) / 3
[the close action can also occur intraday, then the action will be published neartime with the used FillPrice]
If Bid and/or Ask is missing (for example at weekends) then just taking the Last price.
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