Hi all,
As I assume many people have already read Mr. Ernest Chan's book, this strategy is one of the strategies that he introduced in his 2nd book. It looks simple and powerful. Please help!
For those who have not read his book yet, I summarized his strategy as below:
1). Let's set our universe big.
set_universe(universe.DollarVolumeUniverse(floor_percentile=95.0,ceiling_percentile=100.0))
2). Rank the 12-month return (or 252 trading days return).
3). Buy and hold stocks within the top decile of the past 12-month returns for a month.
4). Short and hold stocks within the bottom decile of the past 12-month returns for a month.
He mentioned this strategy worked in 2007 and failed in 2008. Also he suggested that we could rank other factors, such as fundamental numbers (earnings growh, etc.) or some combination of linear statistics. So we have many options wide open.
But let's start from this one and build up from here.
I suggest that we do this with minute data to get more precise result than with daily data.
So we buy sorted stocks on the 1st day of each month and sell on the last day of each month.
On the 1st day of each month, we buy stocks at 09:32(EST) and on the last day of each month, we sell them at 15:59 (EST). For short, we do same.
Please help.
Thank you.