Centre county Pennsylvania, USA | Chart below shows why current path (day trading long calls) has my undivided attention. Although its only 9 day trades in 5 market days in an on-line Virtual account, it shows promise.
Day trading long calls is 100% Pyhon coded, mindset is 100% Python.
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Virtual Account long call day trades*
_ETF___Date_____BTO(NET)_STC(NET)__GAIN(%)
('QQQ', '09/27/2017', 7785.68, 9614.11, 23.48)
('XLK', '09/27/2017', 4180.91, 4738.98, 13.35)
('IWM', '09/28/2017', 5190.46, 5809.41, 11.92)
('QQQ', '09/28/2017', 4719.5, 4476.4, -5.15)
('XLK', '09/28/2017', 4460.91, 4698.98, 5.34)
('XLK', '09/29/2017', 3326.14, 3423.78, 2.94)
('IWM', '09/29/2017', 4995.68, 5504.2, 10.18)
('IWM', '10/02/2017', 5650.46, 6529.39, 15.56)
('IWM', '10/03/2017', 5290.46, 5809.41, 9.81)
Number of market days traded = 5
number of day trades = 9
Total Gain (profit) = 87.43 percent
Average Gain (profit) = 9.71 percent/trade
Historical Probability of positive Gain (profit)= 88.89 percent
*footnotes
(1) IRS pattern day trading margin rules do not apply (traded in cash account)
(2) IRS wash sale rules apply (no need for loss deductions, no loss expected)
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Python, the preferred programming language skill
