Just began my first reading in what was the June 2009 CFA Curriculum. The subject matter was just a review of Ethics, and there are three more readings to go in the first session.
To other matters.
I feel extremely confident in the results for Pairs Trading QID QLD 2.0.
I have been working towards applying the lessons learned from wash sales, autostops, and stop loss trades and have come up with a model for SDS and SSO. I also was working on FAZ and FAS, but it appears there is insufficient data to create a backtest with a statistically significant number of trades.
On the left is the SDS and SSO model, which I'm sure is obvious if you had followed my previous posts.
Long + Short Long + Short
Starting Capital $25,000.00 $25,000.00
Ending Capital $471,232.35 $1,081,660.08
Side by side, I can understand why someone would question the reason for the SDS and SSO lagging QID and QLD so much, but the annual returns show a different story, to me at least, having analyzed these reports for a long time.
Net Profit $446,232.35 $1,056,660.08
Net Profit % 1784.93% 4226.64%
Annualized Gain % 137.82% 203.89%
Exposure 74.79% 50.39%
Either one would still be a good system to use, till you see the DD.
Number of Trades 76 88
Avg Profit/Loss $5,871.48 $12,007.50
Avg Bars Held 4.91 2.8
Winning Trades 50 66
Winning % 65.79% 75.00%
Gross Profit $662,789.16 $1,727,862.95
Largest Winning Trades $74,588.57 $205,057.31
Avg Profit $13,255.78 $26,179.74
Avg Bars Held 5.08 2.86
Max Consecutive 7 10
A lot less trades with the SDS and SSO models. Hold times are also more than twice the QID and QLD version. Less of a win streak in the SDS and SSO models.
Losing Trades 26 22
Losing % 34.21% 25.00%
Gross Loss ($216,556.82) ($671,202.87)
Largest Losing Trade ($34,355.63) ($108,434.07)
Avg Loss ($8,329.11) ($30,509.22)
Avg Bars Held 4.58 2.59
Max Consecutive 4 2
As expected, a lot lower win percentage with SDS and SSO. Max consecutive is still inexcusable, but, by itself, not what I have identified as the cause of the Max DD.
Max Drawdown ($90,321.31) ($133,611.63)
Max Drawdown Date 8/11/2009 10/1/2009
Max Drawdown % -39.01% -20.34%
Max Drawdown % Date 10/8/2008 11/3/2008
So, here we are. Max DD for SDS and SSO is almost twice as much as the QID and QLD system. I attribute this to one trade, and one trade only. There is a trade in SDS and SSO that I can only call catastrophic. It is a losing trade that lost more than 17% in one day from 10/7/2008 to the Open on 10/8/2008.
Here is the tradeslist from that period. To show how volatility based overbought, oversold indicators adapt for changing market conditions, I have included the next two trades.
Position Symbol Shares Entry Date Entry Price Exit Date Exit Price % Change Net Profit Bars Held Profit/Bar Entry Signal Exit Signal Cum Profit MAE % MFE % ChartScript Delta Norm Series Actual Ratio Series
Long SSO 3,840 10/7/2008 41.53 10/8/2008 34.42 -17.13 -27,324.30 1 -27,324.30 Buy SSO Stop 29,766.54 -17.12 0.84
Long SSO 3,483 10/10/2008 27.09 10/13/2008 31.77 17.25 16,278.54 1 16,278.54 Buy SSO Profit Target 46,045.08 -11.04 19.23
Long SDS 1,538 10/21/2008 89.99 10/22/2008 100.47 11.63 16,102.24 1 16,102.24 Buy SDS Profit Target 62,147.32 -3.34 11.65
So, in defense of taking a loss like that, the next two trades were the number 1 and number 2 most profitable trades. I have attempted to find a way to "fit" this out, but mechanically, I have found no way and no other values to optimize the results any better, so I'm left to understand that to use SDS and SSO might warrant some possible attention to more than extreme volatility, and just plain irrational price action. I will need to ponder this for much longer, but the stats below give me pause as well.
APD 0.8301 0.7864
APAD 1.8742 1.7146
Oh the irony of having a system with 39% drawdown have a higher APD than a 20% drawdown. I can't make this stuff up. It's priceless, and a perfect example of what you'd go through to write 50 page long algorithms.
For those who don't know what APAD is, if APD is net profit over total drawdown, APAD is gross profit over total drawdown. The reason to look at APAD is to find whether your typical trade will overcome the total drawdown of the system, and I would say anything above 1 will.
Wealth-Lab Score 112.3872 322.2863
RAR 184.2791 404.595
MAR 3.5328 10.0224
Profit Factor 3.0606 2.5743
Recovery Factor 4.9405 7.9084
Before I discard the system, the returns below require some analysis. This WL score specifically might not accurately capture the underlying APR of the system as evidenced by the returns below.
Sharpe Ratio 1.8133 2.1658
My gold standard of high risk adjusted returns is always 2 on the Sharpe. Not that that will guarantee when you actually trade that you'll have a Sharpe of 2 the whole time, but that it has to be that high to <i>tolerate losses.</i>
Sortino Ratio 4.2993 5.4716
I have very rarely found any value to the Sortino ratio, because I truly believe backing out upside volatility masks upside drawdown. A true example of a system that has gamed the drawdown out of the equation through buy and hold is ETF timer. If you never sell a winner, you'll never have any drawdown, despite the position fluctuating 20-30k or 10-15% in a few days to weeks.
Ulcer Index 9.8026 6.1128
WL Error Term 29.287 8.755
WL Reward Ratio 4.7059 23.2885
Luck Coefficient 5.6269 7.8327
Pessimistic Rate of Return 2.1969 1.8607
Equity Drop Ratio 0.0508 0.0187
K-Ratio 0.3023 0.4032
Seykota Lake Ratio 0.0868 0.0449
Expectancy 0.6052 0.628
Expectancy Score 13.0956 15.9747
Max Losers Held 1 1
Max Winners Held 1 1
I don't find any value in the rest of these, but maybe someone out there will.
Now, to the part that I said I'd compare annual returns to. SDS and SSO is on the left, and QID and QLD is on the right
% Return % Max DD Period Starting % Return % Max DD
19.76 -6.22 7/13/2006 59.92 -10.19
-4.22 -28.55 1/3/2007 216.52 -12.33
370.79 -39.01 1/2/2008 237.8 -20.34
249.04 -24.5 1/2/2009 153.05 -16.23
So what does a professional see? I see a system that required a lot of data to be compiled before showing stellar returns. Every profitable system I've ever made has time periods of both stagnant and exponential growth. While I notice it took some time for the SDS and SSO version to come back, it has not benefited as much from the compounding effect the consistent returns generated by the QID and QLD system had, but that does not take away from the fact that the last two years the SDS and SSO version has significantly outperformed the QID and QLD version.
Now, I see confusion here. I know of quite a few funds that very long periods of time underperform, and in those few quarters of stellar growth essentially make the whole decade worth it for their investors.
I find trading to be a numbers game, with a lot more edge than card counting at Blackjack. Everyone will tell you to have a plan when you start, but they don't have any idea <b><i>how long it will take you to realize you need a better one.</i></b>
My approach to trading and investing is that I put myself from the perspective of passively buying an index, and benchmark myself to the S&P. By doing that, tolerating losses when the market goes down is much easier. In the periods where it goes back, I find myself always buying on the dip, which is another axiom prevalent in nearly every major trading site on the internet. It's certainly popular with professionals.
I liken the way I trade to a simple motto, and I know everyone has heard this before, but it's actually what I do with these pairs systems: <b>Buy when everyone's selling, and sell when everyone's buying.</b>
And that's all you have to do, no matter which timeframe your in. You'll find the investor that thinks that he needs to follow the crowd because they determine your profitability <b>is always the one wishing he had bought or sold at the lowest low or the highest high.</b> Simply put, I'm saying what I believe I have is a long term statistical edge in these newly created securities. The reason these ideas or results could not have been duplicated in the past is because QID, QLD, SDS, SSO and all of these other perfectly negatively correlated securities create the perfect environment to pairs trade on by the simple fact that their correlations are eternal. What correlations past Wall Street pairs trading models have found I would liken to spurious correlation that always dissipates. The reason these pairs models work is because you have a perfectly priceed, perfectly negatively correlated pair to arb every time on.
It will be impossible to arb daily closing prices out of the market. The only programs I know of capable of manipulating markets may only do so for very limited time periods, as much as 60 minutes, but no more, and they still cannot stop prices from moving where they need to go to find equilibrium.
So, I believe I'm doing cutting edge research here, and to doubt the significance of what I do you may ask only if you want to lose credibility.
Still working on the Cash Cow model. Light volume has prevented many trades from taking place, but that's part of the system.
Good Trading,
Good Luck,
Beau Wolinsky