Skip to content

The Recent Importance of Volume Exhaustion For Short-Bias Daily Mean-Reversion

January 27, 2011

CSS recently entered into a  partnership with CSI Market Data https://csidata2.com/cgi-bin/ua_order_form.pl?referrer=CY which I would highly recommend as a source of high quality, accurate market data. Some of the individual data packages cover virtually every tradeable instrument–whether this is a major market index,stock,  future or even mutual funds. More importantly, the better packages have de-listed data, which is very important to the serious trading system developer. Since we have experience using CSI data, we can testify that it is very high quality and easy to import into a database. At the price point offered for most packages, it is really a strong value in comparison to other options– considering the sheer breadth of markets covered.

I thought as an interesting post, I would isolate one of the more important factors to consider within a binary daily mean-reversion strategy on the short side. In this case,  all short-selling strategies have had difficulty in the last few years during the POMO and Quantitative Easing. Not surprisingly, injecting money into the stock market through explicit government intervention has caused the market to have more persistent trends of the upward variety in recent years. Most notably, short-term binary mean-reversion — but specifically the short side (go short on up days, exit on down days)– has fallen apart.  Curiously, one of the filters that seems to improve entries considerably is the concept of volume exhaustion: when volume reaches a short-term high over the past week or two weeks on short-term market strength, it is likely that buying is close to some peak, and hence is exhausted. Below displays the trade statistics since 2007 trading the SPY and using SPY volume for the baseline strategy versus two different  volume exhaustion strategies. As you can see, the edges are significantly improved (though all have had difficulty recently) using short-term volume peaks as a filter. Most importantly, drawdowns are substantially lower—thus considerably lowering the risk of entry. This is something to keep an eye on in the next year to two years.

10 Comments leave one →
  1. Kurt permalink
    January 27, 2011 4:44 am

    Very interesting post David, was wondering how to look at volume in relation to mean-reversion and its impact. Thank you

  2. January 27, 2011 10:25 am

    What you are seeing here David is the basic nature of markets. However, this pattern changes during bull/bear markets.

  3. Zach permalink
    January 27, 2011 12:16 pm

    Pardon my ignorance, but how can the CAGR for the 10-day volume trade be lower than the other two rules, which have higher average trades and win percentages? Is it a result of a smaller number of trades occuring during the test period?

  4. January 27, 2011 10:14 pm

    “brett steenbarger’s TraderFeed” — listed on the blogroll — is no longer active.

    • January 28, 2011 11:28 am

      True but it is one of best archives on trading info on the web.

  5. Dave E permalink
    January 28, 2011 3:22 am

    Hi Zach

    Indeed, it will be because there are less trades.

  6. Charles permalink
    June 13, 2011 10:23 am

    Very interesting David.

    Regarding CSI datas : do you know if their data are adjusted (rolls for futures, dividend for stocks, …) ?

    Thanks by advance

    • david varadi permalink*
      June 13, 2011 10:29 am

      hi charles, thank you. CSI data has both options–dividend adjusted and unadjusted. as for futures, they probably have continuous contracts, but we haven’t had experience using their futures data for testing.
      best
      davdi

Trackbacks

  1. Tweets that mention The Recent Importance of Volume Exhaustion For Short-Bias Daily Mean-Reversion « CSS Analytics -- Topsy.com
  2. Using a Volume Filter May Improve Short Trades | System Trading with Woodshedder

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: