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Running totals sheet attached below (10 days, 1 tab per day)
P/L for tonight +$500
account balance =$27,103
View attachment 31653
belflan,
With the strategy mentioned in my post at the start of the thread, I found that the stock selection is quite important, perhaps critical. Certain types of stock are more likely to exhibit the mean reverting behavior that you are looking for. Perhaps Grey1 might like to comment on this. I know that Grey1 has warned about the difficulties of trading fast moving stocks driven by high volume algo trading. Maybe we are talking about stocks like RIMM in this category.
If we are looking for a reversion to VWAP, then I would guess that we should be looking at large cap, high volume stocks with moderate (not low) volatility. Probably with large institutional participation (by institutional, I mean mutual funds, pension funds etc rather than hedge hogs). I would guess that VWAP directed traded volume might be relatively high is such stocks.
Of course this is all supposition, and I might be well off the mark. So we can put our powers of reasoning (which might not be all that reliable) aside and do it empirically. That is mostly what I did. I looked at various industries, sectors and other groupings of stocks and found that within the parameters of the system mentioned in the first post, the stocks of the DOW 30 are some of the best to apply that strategy to. It also seems to work on pharma. I also tried the 100 highest volume NYSE stocks and selected the most suitable. It does not work well on the NDX or biotech stocks.
There was no "future knowledge" used in deriving the system metioned in the first post. The stocks were chosen from how they behaved over the prior 6 months and the posted equity curve is strictly walk forward.
Average net profit on that system is about $0.13 per share per trade, and somebody asked about max DD which is about 10%.
My objective is to develop it further into a system that can be auto traded, for the very good reason that I live in Australia and US market hours are just horrible. I have a software development background, so the automation will take work, but is very doable. This type of system which is at least partially hedged a lot of the time has the advantage that some type of system failure - most probably the internet connection - can occur without incurring a catastrophic outcome. You can automatically place a MOC order as soon as a position is opened to ensure that you are not carrying positions overnight and programmatically cancel it if a postion is closed for some other reason.
I have some other comments about risk management, but I will leave them to another post.
belflan,
With the strategy mentioned in my post at the start of the thread, I found that the stock selection is quite important, perhaps critical. Certain types of stock are more likely to exhibit the mean reverting behavior that you are looking for. Perhaps Grey1 might like to comment on this. I know that Grey1 has warned about the difficulties of trading fast moving stocks driven by high volume algo trading. Maybe we are talking about stocks like RIMM in this category.
If we are looking for a reversion to VWAP, then I would guess that we should be looking at large cap, high volume stocks with moderate (not low) volatility. Probably with large institutional participation (by institutional, I mean mutual funds, pension funds etc rather than hedge hogs). I would guess that VWAP directed traded volume might be relatively high is such stocks.
Using Sector Rotation is one way to identify areas where money is likely to be flowing, in or out. This also makes sense in the context of VWAP and large scale institutional positioning.
With Radar Screen is it possible to set up analysis of all the Sector Indices and then periodically check using Daily/Weekly MACCI to determine likely candidates. This does not have to be running all the time and using up cpu resource and memory, but instead have a TS workspace containing the Radar indicators and periodically paste the tickers in to see the picture (e.g. weekly or monthly).
Once you have identified a Strong or Weak (i.e. OB or OS) sector you can then scan that sector for the stocks which fit the parameters for price, volume and volty.
Glenn