My parents (God rest their souls) always were helpful with our 4 kids and money for college. When Addison and Emerson were born, they started a 529 savings account for each child and contributed $100 every month. When the girls were two years old I matched that by contributing an additional $101 every month. We continued that until my parents moved in 2022. So, we averaged about $201 in every month, or about $2,500 in each year for ~15 years. I took out ~$20,000 from each account from 2018-2024 for my graduate school and Evan’s schooling. So how much has that ~$13,000 in principle grown to now they are both 18 and heading out for college next Fall?

Well, when Addison and Emerson were still preschoolers I decided I would run an 18 year experiment. I would invest all Addison’s account in an SP500 fund, and Emerson’s I would invest 50% in SP500 fund and 50% in the age based fund, the kind that are more aggressive when the kid is younger, and more conservative as the kid nears college.

Of course this was not to favor or handicap one child — as the account owner I can always shift money, so the expectation is mom and dad will pay for college – I was never intending to give Addison the ability to go to only to OCCC and Emerson to Vanderbilt if the market did bad, or the reverse if the market did good.

So, looking behind the covers, the fund the Oklahoma college savings plan (the only one I get a state tax deduction for) — now calls the “U.S. Equity Index Option”, which when you go to their page https://www.oklahoma529.com/investment/risk-based/us-equity-index-option/ says it is really 100% invested into symbol TIEIX – Nuveen Equity Index Fund. The benchmark for that fund is the Russell 3000 Index. I know the Russell 5000, but Russell 3000? Never heard of it. So how has that fund done compared to SPY? Well, pretty similar. Both market cap weighted indexes, just the SP500 is limited to the top 500, Russell3000 is 3,000. The top stock weighting of the SP500 is NVDA at 7.96%, where the top of the R3000 is also NVDA at 6.78%.

To get performance, however, you must cite your source of truth. Even something straightforward like SPY, well look at these different reported results for 5 year SPY performance. Let’s look at State Street (the funds owner), Google finance, yahoo finance, and SeekingAlpha for $10k invested 5 years ago:

State Street	$19,685
Google Finance	$19,513
Yahoo Finance (chart)	$20,336
Seeking Alpha	$20,341

so why the difference? Dividends? let’s use yahoo finance daily historicals:

adjusted close of 307.83 to today’s price of 682.80 is 121.96% or $10k invested is now $22,196. So no, dividends were not even included. The non adjusted price of 330.20 to todays 682.80 is 106.9% or $10k is 20,692. Here is the updated chart:

Source of Truth	current value of $10k invested in SPY 5 years ago
State Street	$19,685
Google Finance	$19,513
Yahoo Finance (chart)	$20,336
Seeking Alpha	$20,341
Yahoo Finance (historical, adjusted close)	$22,196
Yahoo Finance (historical, actual close)	$20,692

This is a kinda big deal. The difference from $22,196 to $19,513 is 14%. Heck, without dividends, the difference from $20,692 to $19,513 is still 6%. 6% is two years on a cash account.

OK, set aside for the moment that management fees suck and the industry feeds off you like mosquitos feed off water buffalo. I guess we just accept it.

Back to the initial question — how did the 2 portfolios do? Well, here are the values today (Nov 3, 2025).

So $20k more, just by choosing full SP500 over 50/50 SP500/Age fund. Heck if I had just chose age fund for both, it would only be $40k each, not even enough to fund 1.5 years of school.

So now let’s look closer — I chose the Oklahoma fund and the investement choices they provide — but what if I owned my own? Let’s look at several scenarios:

1. US Equity Fund, from OK4Savings.org
2. 2024/2025 Enrollment Option, also from OK4Savings.org
3. TIEIX
4. SPY
5. QQQ
6. TQQQ

• 1) As a baseline, here are the contributions to Addison’s account and total value now:

$13k net principle becomes $80k now. Good, not great.

2) OK, some will say I was “too aggressive” with 100% US Equity Index, and I should have done the 2024/2025 Enrollment option. Look here:

Would take $13k to $21k. Awful. Note, there were a lot of band rolls as she got older and automatic switching of funds prior to 2020. That’s why the year end prices look so rigid, but this is directionally correct.

Lesson 1 — Screw the people who tell you to invest concurrent with the kids age. It is just plain bad advice.

I know that the market is at all time highs now so it is easy to draw up lesson #1, but I strongly feel it is the correct lesson. If the market tumbles anyways then schools tuition and fees would go down commensurate. Don’t spend your life (and investments) worrying. It will kill you in the end, just like the unworthy servant who hid his talent in the ground. After all, that servant did safeguard and return the masters talent in perfect condition. What did it get him? He got called “wicked and slothful” by Jesus himself. Do you really want God to look at you and call you wicked or slothful? If not, heed lesson 1.

3) OK, now what if instead of TIAA/CREF, I just opened a Schwab account and invested in TIEIX directly?

Wow, that is a hell of a difference. $110k instead of $80k. Sure, you don’t get the state tax deduction, but that was not worth $30k. Again, financial management fees suck and the industry feeds off you like mosquitos feed off water buffalo.

4) OK, what if I invested in SPY instead of TIEIX in that Schwab account:

Basically the same as TIEIX, actually $5k worse. But basically the same.

5) Let’s get riskier: How about QQQ? The girls were born and this fund what set up the same time the iPhone 1 came out. Betting on tech (of course hindsight is 20/20) would have been a good thing:

Wow – $13k becomes $200k. Now you are talking. College is fully funded and mom and dad don’t have to dip into savings.

Lesson 2 — Invest risky, and keep the investment on no matter what (COVID, etc)

If you have belief in the future of the US, Lesson 2 is the only lesson you need to remember. As long as we are 4% of the world but 33% of the world’s economy, the reserve currency of the world, the strongest military in the world, etc — bet on the US for the very long term. We have a US exceptionalism and optimism that does not exist in other countries. Hell, in western Europe they are damn apologists. No one want to buy into that thinking.

6) OK, Final risk up trade, right up there with putting it in bitcoin. How about if I did TQQQ (leveraged ETF). The fund did not exist until 2010, so just take the principle inflows from 2007-2009 and dump it in the trash can. What do we get?

That’s right $1.2 million! And not going from $13k to $1.2 million, more like $8k to $1.2 million, because this starts in 2010. Now we are talking!

In truth, I don’t think there is any way I would have been able to keep this level of risk tolerance on. There is no way I would not sell during COIVD or any other number of days (like even today, just a 1% down day). But if I had – wow — I wish I had is all I can say.

Lesson 3 — all the savings, all the austerity – delay that purchase, get the cheaper model, it may all be worthless noise. Just click a few correct buttons a few times in your life >> all else.

Lesson 3 is kind of depressing, actually, but real and true. Sure, I wish I had twenty bitcoin lying around — I set up my first bitcoin full node when each coin was $100. Coulda / Woulda / Shoulda. My dad used to tell me he should have bought Boeing in the 70s and he would be passing $10 million to me. He didn’t and I didn’t. Oh well, I loved my dad very much, and that was worth a lot more than $10 million, and I am being very honest about it.

Still though, my hope is people reading this will have both — ample funds for all your dreams, and long and healthy lives with family. Thanks for reading!

Cisco GSX (our annual sales meeting) was, as always, an outstanding experience! There was one line spoken on the main stage that got the largest applause I have seen in years – and deservedly so. Gerri Elliott (Cisco’s new sales and marketing boss, and also my boss’s boss’s boss’s boss’s boss’s boss’s boss :/ – wish I was closer to the top! ) pointed out to Chuck Robbins on stage that this meeting marked his 3-year anniversary as Cisco CEO and in that time, Cisco stock price is up… 82%!   That brought the house down, as it should.

82% seemed incredible to me when I heard it. I know the price has risen – but wow, a near doubling? That means under Chuck’s leadership Cisco has added $90B of market cap.  I know that’s small compared to the top 5 stocks, but it is an amazing amount of money in its own right. John Chambers, when he became CEO in 1995 had a $5B company, and left it 20 years later at $130B — $125B of market cap in 20 years.  Chuck has done $90B in just 3 years.

So, how it is possible that Cisco stock has risen so much in 3 years?  From a sales point of view we have not materially grown sales at all in the last 5 years, not even at the rate of inflation, even with new acquisitions.  Here are the numbers for the last 10 years of Cisco earnings:

Quarter Ending	revenue ($m)	net income ($m)	dividends paid	Shares outstanding (billions)	stock price on Q end	market cap ($B)
7/28/18	12,840	3,800	0.33	4.7	47.15	221.605
4/28/18	12,463	2,691	0.33	4.8	42.7	204.96
1/27/18	11,887	2,322	0.29	4.9	44.78	219.422
10/28/17	12,136	2,394	0.29	5	35.88	179.4
7/29/17	12,133	2,424	0.29	5	32.21	161.05
4/29/17	11,940	2,515	0.29	5	31.53	157.65
1/28/17	11,580	2,348	0.26	5	34.18	170.9
10/29/16	12,352	2,322	0.26	5	29.82	149.1
7/30/16	12,638	2,813	0.26	5	31.44	157.2
4/30/16	12,000	2,349	0.26	5	29.05	145.25
1/23/16	11,927	3,147	0.21	5.1	26.18	133.518
10/24/15	12,682	2,430	0.21	5.1	27.25	138.975
7/25/15	12,843	2,319	0.21	5.1	25.88	131.988
4/25/15	12,137	2,437	0.21	5.1	28.83	147.033
1/24/15	11,936	2,397	0.19	5.1	29.51	150.501
10/25/14	12,245	1,828	0.19	5.1	27.64	140.964
7/26/14	12,357	2,247	0.19	5.1	24.99	127.449
4/26/14	11,545	2,181	0.19	5.1	24.62	125.562
1/25/14	11,155	1,429	0.17	5.3	21.8	115.54
10/26/13	12,085	1,996	0.17	5.4	21.25	114.75
7/27/13	12,417	2,270	0.17	5.4	23.31	125.874
4/27/13	12,216	2,478	0.17	5.3	24.12	127.836
1/26/13	12,098	3,143	0.14	5.3	20.86	110.558
10/27/12	11,876	2,092	0.14	5.3	18.91	100.223
7/28/12	11,690	1,917	0.08	5.3	19.08	101.124
4/28/12	11,588	2,165	0.08	5.4	16.33	88.182
1/28/12	11,527	2,182	0.06	5.4	19.88	107.352
10/29/11	11,256	1,777	0.06	5.4	18.64	100.656
7/30/11	11,195	1,232	0.06	5.5	15.67	86.185
4/30/11	10,866	1,807	0.06	5.5	16.8	92.4
1/29/11	10,407	1,521	0	5.5	18.56	102.08
10/30/10	10,750	1,930	0	5.6	19.16	107.296
7/31/10	10,836	1,935	0	5.7	19.99	113.943
5/1/10	10,368	2,192	0	5.7	23.16	132.012
1/23/10	9,815	1,853	0	5.7	24.33	138.681
10/24/09	9,021	1,787	0	5.8	23.4	135.72
7/25/09	8,535	1,081	0	5.8	21.6	125.28
4/25/09	8,162	1,348	0	5.8	18.5	107.3
1/24/09	9,089	1,504	0	5.8	14.57	84.506

 

What you should take away from the above table:

1. Revenue per quarter now ($12.3B over FY18) is identical to revenue per quarter in FY15 (also $12.3B).

commentary: Even with a paltry 2% inflation over 3 years that $12.3B should have grown to $13B.  On top of that, Cisco has acquired 25 companies over the last 3 years. That alone should add another $500M of revenue.  So at 0% real growth, Cisco revenue for FY18 should have been $13.5B, but it was not — only $12.3B — in real terms that’s a contraction of 9%.  Yuck!

commentary 2: In Q2 of FY18 Cisco actually reported a net loss of $8.8B — we took a one time charge associated with repatriating overseas capital for $11.1B.  I have not added in that $11.1B into the table above, otherwise the P/Es would be negative.

So based on #1 alone, Cisco’s stock price should have gone down 10% in the last 3 years, not up 82%.   Let’s move on…

 

2. Net Income per year is up slightly in three years, maybe. Take the above table and compute yearly numbers. Here are the year over year numbers for trailing 4 quarters net income:

FY18 has grown to $11.2B from FY15’s $9B (25%), but that’s not entirely accurate.  See the note about the Q2 charge. With that included, Cisco earned $0 for 2018.

So the company is not selling more, but it is making more money on the same volume of stuff sold. Good!  Let’s say that should increase the stock price, 10-20%.  So where do we get 82%?  Read on…

 

3. Shares are contracting.  The company continues to use profits to retire shares, going from about 6B shares a decade ago to under 5B shares now.  That is big. Same income spread across fewer shares yields higher EPS.  The reduction in shares from FY15 (5.1B to FY18 4.7B) is about 8%, so there is another 10% of that 82% we are looking for

 

4.  Multiple expansion. This is the real generator of wealth.  In FY15 Cisco had a P/E of 14.7 trailing (12.3 on a forward basis).  That was, just simply way too low.  Now we get a 19.8 trailing P/E and a forward estimate of about 18 — which is in line with the market. I personally think given the opportunity and space Cisco plays in we should get a rich premium over market multiples — not back to 2001’s 120x, but to 30x? Sure! The Internet of Things is a big opportunity and we are poised to capture it.

That expansion from 14.7 to 19.8 is 35% — so that’s 35% of the 82%.  Or is it?   Look more closely:

1.25 * 1.08 * 1.35 = 1.82

Did you see it? There is your 82%.

Increase earnings 25%

Decrease shares outstanding 8%

and expand the whole multiple 35%

— its a multiplicative effect — the net is 25% + 8% + 35% = 82% — it is geometric — the multiple applies not only to the new income, but to all income.  That’s the magic.

So in a real sense the Trump tax cuts are what has Cisco up 82% in 3 years. As the animal spirits come out and the multiples expand there is a real wealth effect generated.   Again, this is all in the backdrop of real revenue down 10% in 3 years.

How does the future set up?  Very well.  If the new revenues get to ~$14B per year, that’s 20% more than now. If the shares keep dwindling at a similar rate. that’s another 10%, and if the political backdrop remains the same and multiples continue to expand to 25 for Cisco — then that (1.2 * 1.1 * 1.25) = 65% — which would be $82.5 per share, which would tie the all-time high for the company set on 28 March 2000.

 

 

 

 

 

Most people like to sell premium and collect money.  Me, I like to buy premium in anticipation of a melt-up.

Today I placed an order to buy TQQQ 76.67C, Jan 2019, and another order to sell the same call option. I did this to see what the true market bid/ask spreads are.

In the morning, Schwab was publishing bid@1.40, midpoint@2.60 and ask at 3.80.   There had been no volume on this contract for several days, and the market has been up over the last few days/weeks.

I started placing orders to buy at $1.40, going up in 20c increments until the bid dropped again when I removed my order. The marketmaker bids rose and stayed elevated to $2.50, at which point my bid became best when my order was in, and the bid dropped to $2.50 when I removed my order.  I got filled at $3.50. I bought 10 contracts.

Then I sold  1 contract. Started at $3.50, got filled at $3.30.

So the real spread was $3.30-$3.50 (about 6%), and not the $1.40-$3.80 (46%)  that the platform said at the beginning of the day.

 

Compare to QQQ options for the same date (Jan 2019) — the same % out of the money (7% for QQQ, 21% for TQQQ) is 190 strike. Before starting, bid is $3.28 to ask of $3.35  (2%) . Using the same methodology buying 32 contracts and selling 2 I got filled buying at $3.29 and selling at $3.28 (0.3%).

Above is the view before starting QQQ trade

Above is the view after completing both QQQ trades (buying and selling).  Notice I am all of the volume. Started at 405, I bought 32 and sold 2, ending volume is 439.

 

So, the final analysis is as following:

 

 

2017 was a great year for stocks.   I want to use this column to detail one particular trade I made in 2017 — my call option on TQQQ.

So first, why options?  I have been trading stocks since in my early twenties, but trading options are new to me, something I have only done for a couple years now. Back in 2016 I spent a lot of time watching Robert Shiller’s OpenYale class on Financial Markets. In that class he talks about the development of options and futures markets. Options and futures are labeled as derivatives markets, but when you step back and think about it the options market IS the real market. Think about a soybean farmer in Texas. On December 1 she will not particularly care about the spot price of soybeans on that day- her land is all harvested and ready for next year’s planting. But she would be very interested in the price of soybeans in October of the following year, when she could bring a crop to market if she decides to plant it now. Same for a company: Delta Airlines does not care so much about the spot price of jet fuel today, but they do care very much about what it will be 1-24 months from now, and getting a predictable price so they can plan their capital expenditures and fare prices accordingly. In a lot of ways the options market is what drives real business and spot prices are not nearly as important. So from that view options are not merely gambling.

I trade almost exclusively in an IRA account, and you can trade options there — just no margin, which is fine for me.  In my IRA I am granted level 1 options access, which means I can buy calls and puts. I have been comfortable with owning QQQ (Nasdaq 100) for 10+ years, one day in about 2013 I saw a ticker “TQQQ” pass on the bottom of the CNBC screen. I looked it up and it was 3x the QQQ return. I knew interest rates were ridiculously low then and I naively thought this fund achieved 3x by borrowing cash at low rates and using that to actually buy things like Apple and Cisco. So I went in – and it has done fantastically, returning about 1000% over that period.

In 2017 I decided to try TQQQ as an option. I’m not even sure that an option should be allowed on such a product as it is an option to being with. Sort of an option on an option.  The thought was buy an out of the money call. My goal was to buy an instrument that worked as follows — if the market went up 20-30% in 2007 this option would return +700%. That is a significant return on a sizable investment that can potentially be somewhat life-changing. At least enough to buy a new car or along those lines. If the market went up less, say 10%, this option would return -100%. Fortunately I have an overall portfolio where I can stand to lose a few % if the option did not pan out and I was comfortable defining my risk this way so I decided to pull the trigger.

On 3/31/17 the TQQQ option book looked like this:

The underlying spot price was 88.21. I knew I wanted to give myself some time – to me a short term option is more like gambling but a longer term option is a call on the market. So I picked January 2018. (The actual expiration is 1/19/2018). I also knew I wanted an out-of-the-money call. The only real question was how out of the money? I felt there was a chance the Nasdaq could return 25%, which would imply a TQQQ 1 year return of about 75%. How strong was my conviction? A 75% return on an 88.21 price is 154.3 Doing analysis with those number you get the following:

All the numbers above assume an initial investment of $10,000.

If I picked a strike of 130 I would make 1,250%. A strike of 90 would result in a profit of 400%. In either case, if the market was down for 2017 I would have lost -100%.

In the end I debated hard between the 100 and 120 strikes. I really wanted to pull the trigger on the 120 strikes, but I felt there was too much risk there. For example, if the market had returned 10% last year the returns would have looked like this:

It would have been a good year, The market would have been up for most, but that 120 strike option would have returned -100%. A total wipeout in an excellent year for stocks was too painful for me to contemplate, so I pulled the trigger on the 100 strikes.

I bought 16 calls of TQQQ strike 100 / 1/19/2018 on April 11, 2017. The purchase price was $6.00 each contract.

Often when you have a big winner you sell too early. I did a that this time, but I don’t regret it. My goal was to let the $10k bet ride to Jan 18, 2018 and take what it was worth then. Instead after the position doubled (which turned out to be 1 month later on 5/11/2017) I sold half the position. I sold 8 contracts at $12.60, getting back my $10k investment. I would then let the rest of it ride to expiration.

Except I didn’t. On 12/4/2017 I sold another 4 of the contracts, knowing the end of the option period was near and I did not want to lose all my profit. I sold that lot at $36 each.

I let my 4 remaining options ride to the end. Since they were now deep in the money calls near expiration, they trade at almost the exact difference between the underlying price and option strike price – (Delta of 1). I sold those for whatever the market would bear on market open on 1/17/2018, which turned out to be $63 each.

So my profit as it stands today is:
debit of $6 * 16 * 100 = -$9,600
credit of $12.60 * 8 * 100 = +$10,080
credit of $36 * 4 * 100 = +$14,400
credit of $63 * 4 * 100 = $25,200
—————-
Total of $40,080

So a return of 417% in 9 months. That will do pig, that’ll do.

What if I had waited and not sold at all? Based on the absolute final trade of TQQQ on 1/19/2018 expiration (167.94) – that would have been 1032%.

What if I had done the 120 strike? There the return becomes a fantastic 2200%. The calculations to here have been using the ask price of the options, not the midpoint. Another problem with these options are the spreads. Look at the 120 strike- $2.8 to buy and $1.3 to sell. That means as soon as you execute your order your $10,000 position gets cut in half. Even though that would have worked wonders in 2017 it is still a hard call to pull that trigger.

What’s next?
So fo 2018 I am going to keep 10% of my portfolio in options. My thinking is to ladder 4 options, with strikes of 3,6, 9 and 12 months and $5,000 position each. As for the underlying I am sticking with TQQQ – If we are in the last throes of a bull market, that one will go parabolic before crashing — I would not be surprised to see NASDAQ 8600 by the end of March 2018.  If that were to happen, that implies TQQQ would be at $260 / share.   If you took a position in March 16, 2018 call @ 200 strike which you can buy now for $2.00 each and you could sell them for $60 each, that’s a return of 2,900%.  Insane? Yes. Improbable? Yes. Impossible?  We’ll know in 54 trading days.

I’ll detail how that works out in 2019.

apparently if you want to pay me, you can send bitcoin to this address:  1KW14VFn7PxfskufCiSU49ApeAyRcBfH47

 

 

So I have been going to the Investor Business Daily meetup in OKC. for the last few months. We usually have about 5 people in attendance and we talk stocks for a couple hours. The host, Raylon Rogers, reads a chapter from an IBD book and then we look at the charts to get our investment ideas.  This last week he talked about “Redemption Days”.  This is an IBD term to look for selling with volume.  IBD is pretty much all a technical analysis method (I perfer fundamentals).  If at the end of one trading day the price action was a lower close and the volume rose from yesterday than this is a distribution day.  Their sell signal is 5 distribution days out of the last 15 trading days.

How often should a redemption day occur?  If it is all truly random, you would expect 3.75 distribution days over any rolling 15 day period (volume can either go up or down, price can either go up or down — therefore a .25 probability that both price moves down and volume moves up on any given day).

 

So I decided to backtest.  I wrote a script in PERL and am hosting it on github if you would like to download and try yourself. It uses data from alphavantage.co API to get daily stock data.

What I follow, and what we talked about in class was the NASDAQ index.  Using the tool there have been a total of 4,484 trading days since Jan 1, 2000  (where the alphavantage data stops– I would really like to test this for 1997-1999, since I think that will be the best model for how this particular bull market ends).    Of those 4,484 days I can use 4,408 of them for backtesting — I can’t use Jan 1-15, 2000 (since I can’t compute the redemption days between Dec 15-31, 1999), and I can’t use anything after July 26th, 2017 (as I can’t compute the 90 day return after that date (yet)). I use 90 days because that gets a single earning release cycle and I think that is a good number to judge — oh yeah, the market tanked, and you can tell over the last 90 days.

So we are analyzing about ~4,400 days.  In that period for the NASDAQ there were 932 times we had 5 or more redemption days out of the last 15 trading days.   Of those 932 times, 90 days later the index was down 355 times (38%).

OK, seems decent. If I have a formula to keep me protected 38% of the time that might be worth something.  Is it? Let’s see the number of days out of those 4,400 when the return was negative 90 days out:  we get 1,609  (36%).  So in that light 38% is not statistically significant. I can simply use a rule that says always stay out of the market and I will avoid having negative 90 days returns 36% of the time.  Seems about as good as saying stay out when you have 5 redemption days over the last 15 and you will avoid negative returns 38% of the time.

OK, what about total return if you follow redemption day theory? Average return 90 days out from our 932 days of 5/15 redemption days is 1.89%.   This compares to an average return 90 days out from all 4,404 analyzed days of 1.25%    So what this is saying is you are worse than the market (note both returns are positive).  You would be better off buying on 5/15 redemption days.

 

So how about trying 6 or more redemption days out of 15 instead of just 5/15:

times with 6+ redemption days = 320 
times with 7+ redemption days = 106
times with 8+ redemption days = 14

8 is the most, no time since 2000 has there been 9 or more redemption days out of 15 in the IXIC (Nasdaq).  So analyze those 14 times with 8/15 redemption days. Average 90 day return is highly positive +7.17%: Here are the 14 times it happened and the 90 day forward return:

2000-04-18 = 7.9%
2001-09-24 = 30.8%
2001-09-25 = 31.6%
2004-03-15  = 2.3%
2009-11-06  = 3.1%
2010-06-03  = -3.0%
2010-06-04 = -0.5%
2012-04-18 = -3.5%
2012-04-23 = -3.9%
2012-07-27  = 0.6%
2016-01-22 = 6.5%
2016-01-25 = 7.6%
2016-05-05  = 10.5%
2016-05-06  = 10.3%

Of interest, not only is the 90 day return super positive, you are only saved from -3% moves down three times, and two times you miss 90 day moves of 30%. I definitely want the other side of this trade.  Also, following this theory you are not protected against the 2008 financial crisis or the 2000 dot com bubble.

So, safe to say this theory is totally busted as it relates to the NASDAQ index. How about individual stocks?  Let’s try a few:

TGT:
distribution days = 960 days (21%)
  average 90 day return = +1.72% 
total days = totals 4,408 days
  average 90 day return = +1.02%

CSCO:
distribution days = 849 days (19%)
  average 90 day return = +1.56% 
total days = totals 4,408 days
  average 90 day return = -0.12%

AMZN:
distribution days = 766 days (17%)
  average 90 day return = +6.7% 
total days = totals 4,408 days
  average 90 day return = +7.08%

note – dividends are considered here for TGT and CSCO, we are using alphavantage.co TIME_SERIES_DAILY_ADJUSTED, not TIME_SERIES_DAILY.

Again, this distribution day theory is busted.  In fact, you want the other side of this trade, if anything (buy after a series of distribution days, don’t sell).

 

Want me to try it for your stock?  Let me know what symbol in the comments and I’ll post the results here.

 

 

 

Have you ever listened to CNBC on a marquee company earnings day and heard something along the lines of “options are pricing in a 4% move in this stock post-earning, either up or down”  and wondered how that was calculated?  Here is how I do it:

Yesterday (5-2-2017) Apple (AAPL) reported Q1 earnings of $2.10 per share.  It was one of those scenarios where earnings beat expectation, but guidance was weak, so the stock opened the next day down 1.49%.  How close did that 1.49% on Wednesday match what the options market told you on Tuesday?

First, start with the shortest term option available.  Options always expire on a Friday, so for AAPL you need to look at the options that expire on 5-5-2017. Prior to close on Tuesday AAPL was trading at $147.63 per share.  Look at at-the-money calls and puts – so look at the $148 call. That option was trading on 5-2 at $2.41

 

So that means a bullish speculator (3 day options is definitely speculation, not investing!) believes AAPL will get to at least $150.41 by Friday.  There are only two things at play between Tuesday and Friday — 1 is the earnings call (obviously) and 2 is the overall market volatility on Wednesday through Friday.  So a speculator believes those 2 forces will equal a total move of 1.88% (the difference between 150.41 and 147.63).

Now look at the way the options were trading on Wednesday morning.  With the stock now at $145.31 a call for $146 on Friday expiration was trading at $0.80.  Again this implies a break even price of $146.80, or a 1.02% move.  The only thing from Wednesday to Friday is normal overall market volatility, so this tells you that Wed-Fri market vol accounts for 1.02%.

Doing the math on the only other force at play (earning announcement) means that the earnings announcement was 1.88% – 1.02% = 0.86%

 

Let’s do it now for the downside using at-the-money puts.  The Tuesday $147 put cost $2.27 implying a break even price of $144.73 or a move down of 1.96%.

On Wednesday the $145 put cost $1.34 implying break even at $143.66 or a move down of 0.92% between Wednesday and Friday.

Doing the math, 1.96%-0.92% = 1.04%

So the options told you to expect a 0.86% move up or a 1.04% move down in AAPL post-earnings.

 

So really the options did an okay job of predicting the move.  The predicted downside move was 1.04% and the actual was 1.49%.  Kinda close, but not spot on.

 

 

 

 

 

 

 

 

This was so non-intutive to me that I deemed it worthy of a quick blog post.  Take historical prices from yahoo finance (or another website) and look at the daily high and low quoted prices of the S&P 500 during any handful of days from 1972 and compare them to a handful of days from 2014.

For all 1972-1975 the lowest daily volatility was 1.05%  (October 9, 1972). The highest was 6.47%  (interestingly October 9 again, this time 1974) and the median was 1.85%. An average day during that period would be Feb 26, 1973 where the S&P500 high was 113.26 and the low was 111.15 for a daily volatility of ~1.86%.

Contrast that to 2014. Over the last 90 days the lowest volatility has been 0.31% (April 23) and the median has been ~ 0.7%.   In fact, 80% of the trading days had volatility below 1%, where as pointed out in the paragraph above zero trading days from 1972 to 1975 were below 1%

Conclusion: Even with all the internet trading and cheap commissions, daily volatility has gone down significantly over the past 40 years.  You would think the free-er flow of capital would increase volatility, but it has not.