I've spent the last month building a mech day trading system for stocks.
The Long system was as follows (the Short is the reverse).
a) take the midpoint of the opening 5 minute range as the central pivot point
b) look for a failed long break out
c) if the long breakout fails, place a buy limit order in below the central pivot point by about double that amount (exact amount is determined by previous 9 day trading ranges)
d) exit after 1400hrs by trailing the highest high of the last 15 minutes (limit orders)
e) there is also some logic when the trade runs against you; which to make things simple I won't cover right now
I then backtested this strategy on the Top 500 traded stocks by turnover, and then selected all that returned PF > 2.0 with a Coefficient of Variation less than 300% for the last 12 months. That gets about 20 or 30 stocks.
I then walk forward these 20-30 stocks over the next month to see what they return.
The first walkforward month - August 2008 returned 30% on my account.
But that turned out to by a folly as June & January returned on average about 0-5%.
I stopped testing after that as I was somewhat disheartened - each monthly iteration takes about 2 days (I've automated as much as I can).
I think the system is 75% there, it is a case of making it profitable all months which was my original goal (I define that as >10%/pcm in backtesting, after slippage and commissions).
I would like to collaborate with someone that is using a similar technique or interested in developing a mechincal day trading strategy, if there is anyone out there interested please get in touch.
Thanks in advance.
The Long system was as follows (the Short is the reverse).
a) take the midpoint of the opening 5 minute range as the central pivot point
b) look for a failed long break out
c) if the long breakout fails, place a buy limit order in below the central pivot point by about double that amount (exact amount is determined by previous 9 day trading ranges)
d) exit after 1400hrs by trailing the highest high of the last 15 minutes (limit orders)
e) there is also some logic when the trade runs against you; which to make things simple I won't cover right now
I then backtested this strategy on the Top 500 traded stocks by turnover, and then selected all that returned PF > 2.0 with a Coefficient of Variation less than 300% for the last 12 months. That gets about 20 or 30 stocks.
I then walk forward these 20-30 stocks over the next month to see what they return.
The first walkforward month - August 2008 returned 30% on my account.
But that turned out to by a folly as June & January returned on average about 0-5%.
I stopped testing after that as I was somewhat disheartened - each monthly iteration takes about 2 days (I've automated as much as I can).
I think the system is 75% there, it is a case of making it profitable all months which was my original goal (I define that as >10%/pcm in backtesting, after slippage and commissions).
I would like to collaborate with someone that is using a similar technique or interested in developing a mechincal day trading strategy, if there is anyone out there interested please get in touch.
Thanks in advance.