Options For Short-Term Trading – Why And How I Do It.

So the Celtics-Lakers series is back in town. Therefore, no research tonight as I’ll be at the game. (I’m the guy in the upper deck with the green shirt and black and green hat in case you see me on TV.) Instead, I’ve decided to prepare a little write-up on options trading.

As most readers are likely aware, much of my trading is focused on a swing trading timeframe. Most of this focuses on large-cap stocks and highly liquid ETF’s. With these positions, instead of trading the stocks or etf’s, I will many times trade the options. There are two main reasons for this: 1) Risk control and 2) Leverage.

Several of the short-term reversal systems I trade don’t involve stops. An example of one of these systems can be found here. This means two things. 1) If I take a large position and the trade goes against me I may be tying up the capital for longer than I would like and 2) If disaster strikes (think Bear Stearns – and no I didn’t trade it) my position could get wiped out. Who knows where the next 90% drop is lurking?

By using options I an able to solve both of these issues. First, even when buying deep in the money calls, the outlay is significantly less that purchasing the stock. Second, they provide a “natural stop” for the trade (they’ll only drop to zero). I’ll use a recent Subscriber Letter trade as an example. Bank of America (BAC) was scaled into last week and the exit trigger occurred this morning. For my own accounts, I did not purchase any BAC. Instead I bought the June 25 calls. They cost me about 15% of what I would have spent to buy the stock. So if I wanted exposure to $100,000 worth of BAC, I instead would buy about $15,000 worth of BACFE. It’s fairly deep and trades with little premium and a delta of nearly 1. If it goes up, I make nearly the same dollar for dollar. If it goes down, I can’t lose more than $15,000 (unless I roll to another option). To put it another way, if you can get a deep call like this for 15% of the price of the stock, then you can effectively get a 10% position with an account risk of 1.5% (option goes to zero). Also, depending on how the drop occurs, premium may get built into the option, so I may not lose as much as I would have on the stock purchase.

With individual stocks, rarely will I take more exposure than I would if I were simply buying the stock. I don’t normally do it for leverage. I do it to control risk.

Index trades are a different story. Here I will many times look for leverage. The execution is generally the same, though. The S&P 500 is the index I trade the most and I normally do it with SPY options. As I look at my screen while I’m typing this the SPY is trading at $135.73 and the June 129 calls expiring in 3 days (SPYFY) are at $6.80. Only about $0.07 premium. The 129 calls with 12 days (RQQFY) left have about $0.15 premium in them. Either way the premium is quite small. If I want to get leveraged I can lay out about 15% of my capital and have 300% exposure to SPY. ($6.80 * 3 = $20.4 / $135.73 = 15%).

So that’s the general concept of how deep in the money options can be used to control risk and/or gain leverage. If you’re not familiar with trading options then it’s just enough to make you dangerous. I’ll try and follow-up in the next few days with some guidelines I use when considering these kind of deep options plays.

For those who would like to read more and gain another perspective on this type of option trade, check out Steven Gabriel’s write-up from a few years back.

Bounce Is Losing Steam – What That’s Meant In The Past

The S&P 500 rose today for the 3rd day in a row. As I showed on May 30th, when the S&P is trading below its 200-day moving average and without the proper pattern of increasing volume, this has provided a short-run negative expectancy over the last 35 years. What was interesting about today’s rise is that it was so weak from a price perspective. This can be a sign that the bulls are losing momentum and the short-term tide is ready to turn back to the bears.

Below I show the results of buying at the close on a day where the S&P is below its 200-day moving average, has risen at least 3 days in a row and today’s rise in the smallest in percentage terms of any day during the rise.

This shows a negative expectancy greater than a normal 3-day rise in a long term downtrend. On May 30th I showed that volume rising two days in a row turned the 3-up days pattern from bearish to bullish. If I exclude those instances with bullish volume patterns the results are even more negative:

Also notable from today is that the Capitulative Breadth Indicator (CBI) returned to “3”. This is what I consider a neutral state. In other words, it is no longer suggesting an upside edge. For those keeping score, the “buy at 7 – sell at 3 or lower” trade would have netted about 2 S&P points from the “7” signal on the 10th to the close today.

How Strong Fridays Have Influenced Mondays

On Friday the market put in some solid gains. The S&P 500 rose 1.5%, the Dow 1.4% and the Nasdaq 2.1%. In Gary Smith’s 1999 book, “How I Trade For A Living”, Gary, pictured at the right*, discussed how strong momentum on Fridays has a tendency to carry over to Mondays. If you’ve read the blog for any period of time, you’ll know that I tend to believe very little of what I read about the market. Hence my desire to test everything. So I put Gary’s theory to the test.

Tests were run on the S&P 500 going back to 1960. The table below shows the percent return on Friday in the left–most column. After that you see the breakdown of what happened on Monday. (Buying Friday’s close and selling Monday’s close.) Also, you should note that if Monday was a holiday, then the sale occurred on Tuesday’s close.

Looks like Gary (pictured above)* was on to something. Especially interesting is the fact that the stronger Friday is, the stronger on average Monday is. You can see this by looking at the average trade column.

But with the long term upward drift of the stock market how have these Mondays compared to the average Mondays? Believe it or not, Mondays since 1960 have been horrible. During the 60’s, 70’s, and 80’s, Mondays were consistent losers for the stock market. After the crash of ’87 (which happened on a Monday), they no longer acted as a consistent loser. Instead they fell more in line with general market direction. This can clearly be seen in the graph below showing all which shows the result of purchasing at Friday’s close and selling at Monday’s close over the last 48 years or so.

For the entire 48 year period the average Monday lost 0.04%. But when Friday’s were strong that momentum tended to carry through and turn Mondays positive. Since the end of the 80’s the advantage has been less pronounced, but still exists. The last table below again shows Mondays returns based on Fridays returns, but this time only back to 1990.



* Not really Gary Smith. Actually that’s Spongebob Squarepant’s pet, Gary the Snail.

Quick Notes On Gaps, CBI, and McClellan Oscillator

Just time for a quick post tonight. After gapping up about 0.5% on Thursday the market failed to make much headway. Around 3pm the gap was closed. A late rally left the market slightly positive on the day. This action is fairly typical of how the market reacts to mid-sized gaps in downtrends. It’s the big gaps that frequently lead to short-covering rallies and strong moves. With volatility picking back up and the fear seeming to climb we may be seeing more in the way of gaps in the next few days and weeks. You may want to review some of the gap studies to see how the market has performed in the past following certain gap situations.

The CBI didn’t move today. The way things are set up it could go either way tomorrow. A strong up day may reduce it and a strong down day could get it to “10”. Keep a special eye on the financial sector.

For those wondering, the McClellan Oscillator finished around -175. I will make a note of it when it closes above zero, which would signal an exit to last night’s “system”.

What The McClellan Oscillator Is Suggesting

The McClellan Oscillator is a measure of breadth developed by Sherman and Marian McClellan. If you are not familiar with the McClellan Oscillator I would suggest you familiarize yourself with it, as it can be quite valuable in assessing the market. Here is a link to the McClellan’s website. In general, strong breadth numbers (NYSE advancing issues minus declining issues) cause the oscillator to rise, and weak breadth numbers cause it to fall. A good portion of the time you’ll find the oscillator value to lie between -100 and +100.

As with most breadth and volume indicators, the value for the McClellan Oscillator varies a bit depending on your data provider. For instance, tonight the reading on the McClellan’s website was about -245, Tradestation was showing -240, and Worden Bros. TC2000 was showing -204. Since I was encountering some issues with the Tradestation data and don’t currently have the McClellan’s official historical database, I used the TC2000 data for tonight’s testing. TC2000 users may find it listed as T2106 on their symbol list. In general, the data provider doesn’t normally matter as long as you are consistent in your testing. The data goes back to 1986.

Readings of less than -200 are uncommon and often signal an impending short-term reversal. To illustrate I ran a few tests. The first one looks to buy the S&P 500 on any dip in the McClellan Oscillator below -200 and sell “X” days later. Results below:

Sixteen for seventeen 11 and 12 days out. High average trade. This appears to provide a quantifiable edge.
For the next test I devised a strategy that would buy when the oscillator dropped below -200 and then sell when it moved back above zero. Below is a screenshot of the performance report for this strategy.

Seventeen for seventeen with an average profit of 3.25% and an average holding period of 8 days.

The CBI isn’t the only breadth indicator suggesting an edge to the long side.

CBI Hits 7 – Some Hypothetical Results

The Capitulative Breadth Indicator (CBI) edged up to “7” today. As I’ve discussed many time in the past, this is a level where I typically begin to take on long index exposure. Below is a strategy report of the standard entry/exit technique I’ve discussed before of buying the S&P 500 when it hits “7” or higher and then exiting on a drop to “3” or lower. Under normal circumstances a bounce would likely arrive in the next few days. The question is whether this is one of those times where things are a little different and become a lot scarier – like August of 1998, September of 2001 or July of 2002. In cases like those you’d prefer not to get “all in” too soon.

All hypothetical trades in the below report were done with $100,000.

Draggin’ Breadth

Looking at the price changes in the major indices it might appear that Monday was a quiet day with little out of the ordinary. In fact, the higher closes in the S&P 500 and Dow masked some substantial selling that took place. Breadth was strongly negative on the NYSE, both in terms of advancers vs. decliners and in terms of up volume vs. down volume.

In fact up volume was nearly doubled by down volume. It made up less that 35% of the total of the two. I looked back to 1970 to see other times when up volume was less than 35% of up plus down volume while the S&P 500 closed positive on the day. I was fairly surprised to find only 4 other cases. They were 3/27/80, 1/25/82, 10/4/94, and 3/23/05.

To see what poor breadth on an up day may suggest I then loosened the requirements some. In this case I changed the requirement from 35% up volume to 45% or lower up volume. Below is a summary of the results.


It appears that the weakness in the broad market tends to act as a drag on the S&P over the subsequent two weeks. Whatever was holding the S&P 500 up in the face of the instance-day weakness eventually ends up falling as well.

On another note, the CBI moved up to “6” today. Any higher and we’ll be at levels where I normally being scaling into long index positions.

Market Scared – But Perhaps It Should Be

Tonight I’m just going to share a few quick observations that may put the current situation into perspective:

1) Brian C., sent me a study he did on VIX spikes hitting extreme levels. On Friday the VXO closed over 20% above its 10ma. I looked at this in a study and compared my results to his. They both said pretty much the same thing. More often than not the VXO spike leads to an S&P bounce fairly quickly. Those times that it doesn’t – watch out.
2) I looked back in history to find all the times when the S&P 500 gained at least 2% in one day and then lost all of its gains and more the next day – similar to this Thursday and Friday. No need for an elaborate display of the results here. It only happened once – March 24, 2003. In other words, 2% rises are simply not supposed to get wiped away in one day. There is no reliable precedent for what happens next.
3) The CBI didn’t budge and remains at “3”. This indicator remains neutral. In a market that is selling off in an unprecedented way I’d be more comfortable taking a shot on the long side if this was spiking. Perhaps with a few more days of selling, but right now I’m not seeing anything that is screaming buy.

Why You Need To Normalize The Put/Call Ratio

No time for research tonight. I spent the night at the Garden. Yeah Celts.

In lieu of a study, I instead prepared a chart of the CBOE Total Put/Call Ratio. One thing traders need to keep in mind when looking at certain indicators is that they may change over time. The put/call ratio is a prime example of that. The chart below is weekly. The green dots are the Friday closing prices of the put/call ratio and the brown line is a 40-week moving average.

Often times I hear traders refer to absolute levels in put/call ratios as if they are significant. What you can see by looking at the chart above is that “significant” has change over time. From ’97 to ’02 a “spike” in the ratio over 1.00 could have been viewed as significant. A trader seeing such a reading may conclude that fear among option traders was running high. Now a reading of 1.00 is below average. A reading of 0.5 would sure be significant, though. In 2000 it was about average. Strategies that may have been developed 7 or 8 years ago that looked for a move to a certain number are now likely obsolete. That doesn’t mean the put/call ratio has stopped working as an indicator, though.

The issue lies in the fact that the popularity and use of options for traders and institutions has changed over time. It will continue to change. To adjust for this you should normalize the readings over a certain time period and then compare the current readings to “normal”. There are a number of ways to do this. Comparing to a moving average using percentages is a simple and effective one. Another way to normalize the put/call ratios would be to use Bollinger Bands (try varying lengths). The specific method is not terribly important. The fact that it is done is important if you don’t want your strategy or study to become obsolete.

Nasdaq Stays Strong

Bank rumors and speeches from Bernanke turned a positive start to the day into an afternoon selloff. The Dow and S&P 500 lost all of their gains but the Nasdaq went virtually unscathed, with the Nasdaq 100 finishing over 1% higher. I looked back at all the times the S&P closed lower while the Nasdaq 100 closed at least 1% higher. Below are some summary statistics:

Additionally, about 86% of these instances closed higher than the trigger day close sometime in the next week.

You may also notice that some sentiment gauges like the put/call ratio and the VIX have spiked a bit in the last few days. Traders seem to be getting a bit jumpy. Compare this week’s selloff to the one two weeks ago and you’ll see the indicators spiking just as sharply or more so even though this selloff is more benign. That is generally a good thing.

Most everything I’ve been looking at since Monday says we are likely to bounce. There seem to be a few wildcards to keep in mind, though. The banks are one. They need to halt their freefall. Friday’s unemployment report is another. Markets tend to react to that report more severely than most.

When Months Start Bad

After shooting higher to begin the month the previous few months, the market decided to throw a curveball in June. These first two days have been a fairly rough start. I decided to see how SPY has historically reacted when the month got off to a bad start. For purposes of the test I shall define “bad start” as a down close the first 2 days and a loss of at least 1.5% over those two days.
Going back to 1993 I found 14 occurrences. Here are their stats over the next week:
Also notable is the fact that all 14 closed higher than the trigger day at some point over the next week.

Tough to put too much stock in a seasonal-type study like this one. (They are my least favorite from a trading perspective.) Still, combined with some other positives I’m seeing, such as last night’s breadth study and last week’s volume study, I’m inclined to believe we may see some upside sometime in the next few days.

This Setup’s Been Favorable Since The Last Time They Met In The Finals

The market sold off fairly hard on Monday with decliners swamping advancers by more than 2 to 1. Volume was light, though.

I ran a test to see how the S&P has reacted following a day when it was down at least 1% on 2:1 or higher declining breadth. What was most interesting about this test is that results were significantly different in the last 21 years than they were before that. From 1960 up until the Crash of ’87 the results were as follows:

From the Crash of ’87 until today they look like this.

Buying and holding for a week after such a day would have been a winning strategy every year since 1987 except in 2006. Prior to that – consistent loser. In case you’re wondering, using lower volume as a filter improved results slightly.

I’m not sure why the change. Perhaps the Crash changed the psyche of the market. Traders may have decided if it could bounced back from that, it could bounce back from anything – and so dip buying became fashionable and profitable.

Whatever the reason, since 1987 days like Monday have fairly consistently provided an upside edge over the next couple of weeks.

And speaking of 1987…they’re baaaaack!

Put/Call Drop

After spiking a little the week before last, the CBOE Put/Call Ratio dropped fairly sharply over Wed-Fri. Below is a study I ran last night showing the implications of similar drops:

Not the most bearish study I’ve ever seen, but it hints that the market may struggle to add to its gains over the next 2-4 days. I’m seeing some warning signs that the going could be tough here very near-term. Caution may be warranted.

Friday also posted an “inside day”. If you’d like to review possibe implications of this, you may want to check out the old inside days studies.

Subscriber Letter Results For May

Below are the summary results for the trade ideas that were closed during the month of May. Results in May were above average in most areas.

A few notes:

The above results do not include currently open trade ideas.

All trade ideas come with specific entry and exit criteria and are tracked daily.

All trade ideas are in highly liquid stocks and ETF’s. The Quantifiable Edges Subscriber Letter does not deal with small caps.

All trade ideas are quantified through testing prior to entry. Subscribers may use the backtest results to help judge whether the idea may be appropriate for them.

This is not a performance report. I don’t know subscriber’s financial situations and risk tolerances. Therefore I do not suggest trade sizes.

There are essentially 3 kinds of trade ideas: 1) CBI trades, 2) System trades, and 3) Index trades.

For those that may be interested in the Index trades, they mostly use the S&P 500. All S&P index trades are entered using SPY. I don’t use leveraged etf’s like SDS or SSO to juice the performance numbers. Many times I will suggest scaling in to these trades in either 3 or 4 parts. Below are all SPY trade ideas that received fills since the 2/19/2008 inception:

If you’d like to either take advantage of Quantifiable Edges market timing, track the individual trades that construct CBI, or learn new systems (like this one) whose code is available for subscribers to download into Tradestation, you may want to give the Quantifiable Edges Subscriber Letter a look. For a free 3-day trial simply send an email with your name and email address to QuantEdges@HannaCapital.com For further information or to subscribe, click here.

A Volume Pattern That Makes A Huge Difference

On Thursday the market finished higher for the third day in a row. In my “Count To Three” post back in February I showed how 3 higher closes when the market is trading below its 200-day moving average has a negative expectation over the next week or so.

Below are some more detailed statistics of how the market has responded to this pattern:

So the move we’ve seen over the last 3 days creates a negative expectancy in the near future, right? Not so fast. Notice how NYSE volume rose over the prior day on both Wednesday and Thursday. Higher volume on up days is supposedly a good thing. So let’s break it down further.

In this next table I show all instances when our volume pattern of rising two days in a row didn’t occur:


In this case things look even worse.

So now let’s look at those times when the supposedly positive volume pattern of the last two days played out:


Quite a striking difference. The increasing volume changed the expectation of the price pattern from strongly negative to solidly positive. This is an example of why traders should not simply look at price in a vacuum.

Those who would like to see more research on how the market reacts following rising or falling periods may want to check out Dr. Steenbarger’s recent interesting post on the subject.

Also, for those that may not have noticed, the CBI dropped back to “3” today. This puts is back in what I consider to be a neutral state. The “5” reading I discussed a couple of days ago turned out to be a winning signal – perhaps a good sign for the market that pullbacks may be less severe than they were in late 2007 – March 2008. We’ll see.