Apple (NASDAQ: AAPL) Option Matrix Data for Next Week

Month 18 AUG 17 (35) 100
Entry Date      14-Jul   14-Jul
Strangle         CALL     PUT
Position         SHORT  LONG
Strike               150        145
Limit Entry      3.40     2.49
Bid                  3.35        2.51
Ask                  3.40        2.53
Implied Vol   20.03%    20.72%
Delta              0.4598      (0.3344)
Volume          6603          768
Prob OTM      56.51%      64.09%
Contracts        200            200
Cost              $680.00       $498.00
P/L                $10.00       $4.00
DTE              1.92110         1.09240
EXP Prem   (1.4789)         (1.3976)
DTE LOSS ($295.78)       ($279.52)
DIFF P/L     $384.22         $218.48

Determining Premium Limit Entry Matrix

Symbol Entry 15 0
Call 3.358 1.117 0.957
Put 2.497 0.833 0.714

CXQ ScoreCard

CXQ C-RTN Prob Profit Expense P/L
0.21544 1.15213 0.0313% $1,178.00 $12.00



Relative Risk vs. Return Landscape (MACROAXIS)

If you would invest  14,516  in Apple Inc on June 14, 2017 and sell it today you would earn a total of  261.00  from holding Apple Inc or generate 1.8% return on investment over 30 days. Apple Inc is currently generating 0.0903% of daily expected returns and assumes 1.0712% risk (volatility on return distribution) over the 30 days horizon. [Therefore], 10% of equities are less volatile than Apple Inc and 98% of traded equity instruments are projected to make higher returns than the company over the 30 days investment horizon.



AAPL has moved 4.39% or $6.27 in 7 days.  Remember 98% of correlated equities are projected to make higher returns.


TAKE AWAY: Consider the possibility of a reversal prior to release of the iPhone 8 – hype factor.  Piotroski is a 7 – Strong so maintaining a long term investment in the stock is viable.  Scalp a Long Put/Short Call trade starting next week July 17.2017 – 10 days before earnings are released.


About R. Kambak: A freelance market for Macroaxis Research Hub.  Has provided quantitative input for various option platforms as well as a beta tester for Tom Sosnoff – Tastytrade/Tastyworks.

Mr Kambak has accumulated twenty years experience as a Forex, Commodities, Equities, and Options trader.

Interested in the CXQ Excel Model please send an email to: grtsmarket@gmail.com.

In the Subject: CXQ Request.

The TOS charts and Macroaxis Research Hub graphics and copy are provided by attributed permission.  All MSN Excel spreadsheet posts are solely Mr Kambak’s own creation.

Attribution-NonCommercial-NoDerivs CC BY-NC-ND  Duplication is strictly prohibited without attribution.



Our new model brand logo is <codex.qbt> of which you’re going to see more of in the future as our signature icon.

It is baseline defined as a “code” for programming of which eventually moves from binary code toward a “Qubit” superposition quantum program language.

We are using Excel as a baseline platform in determining Proof of Concept of parameters inputs correlated to equations and networking calibrations.

We have posted our latest video showing the simple sequencing of data input from the Thinkorswim (TOS) platform into Excel for the Strangles and Straddles template.

Click here to view the video on setting up our options template spreadsheet.

When it comes to trading “Strangles” or “Straddle” spreads, there few quantifiable “optics” that show a comparison of movement between the Call and Put premiums, calibrated to your “entry price” to give you enough insight to entrain your cognitive decision making towards more profitability.

Nor are there calibrated Excel spreadsheets that give you flexibility with defined ranges of which you can “code” yourself though the Open Source format.

We developed this spreadsheet template for traders to use in simulating their thesis and/or in executing actual trades to track the profit/loss ratio.

It is meant for the novice to have access to an introductory process, so complexity is minimized.

The optics reflect to the user just exactly how the choice of strike price is affected comparatively to the underlying assets price move, volatility and option chain month choice.

There are so many scenarios with option spreads that it takes time to learn which strategy works best under specific market performance conditions.

We are all guilty in trading losses through our stubborn “confirmation bias”‘ so these templates are meant to be “impartial judges” to confront bad default habits and entrain your subconscious mental decision making processes toward refined risk defined knowledge that triggers profitable executions.

The <codex.qbt> Excel templates shown in the videos are available per request, and for now, gratis.

Please give me some time for turn around as I’m the only one managing this the plethora of requests.




In this blog we discuss how we found which option side to lean into prior to Twitter’s (NASDAQ:TWTR) earnings release the following day – 10/27/2015.

It never amazes me when the predictable is always the unpredictable when it comes to trading options around earnings.  The “zero sum” outcome and randomness of the efficient market indicators are equally reliable to be unreliable.  What goes down must come up.

And paradoxically, TWTR posted a plus in earnings, though minuscule by our standards, market makers obviously have inventory lined up to short TWTR, proving that our PUT weighed values were correct: but only momentarily since TWTR returned to the breakout price on during intraday trading on 10/28.

Posted Table on October 26, 2015 the day before Twitter posted earnings.

Estimate is -0.24 cents and actual was 0.10 in After Market Reporting.  What transpired as to the volatility of movement provides excellent feedback as to why you’re flying blind, even with statistical evidence to support a “mechanical” risk defined trade.

In this table below you’ll see our goal post statistical data indicator’s comparison between the NOV 2015 Call/Put analytic matrix that is calculated by our Codex.qbt* formula.

How to read this graph:  On both left and right sides we have Call and Put coinciding indicators: Premium (Ask), our entry price (calculated for a limit order entry), Bio premium price, Delta Hedge (not direct Delta, but our own calibration), Gamma, Implied Volatility at the Strike, Probability Out-of-the-Money, Strike, Number of contracts in hundredths, Probability of Profit (calibrated to our own formulary), P/L, and Skew price.  Note: Intrinsic is purposely left blank as this is a short term trade.

In the middle are the Logic signals:  Delta Hedge shows “Call” and Implied Volatility shows “Put”, a contradiction that played out accordingly.  The “Spread .03” Alert is to signal us when the spread between the Bid and Ask expands greater than two cents.

Stock quote and option quote for TWTR on 10/26/15 08:13:03
CALL P/L Strangle PUT P/L
$38.00 $260.00 $222.00
NOV 15 (25) 100
Premium 1.98 $260.00 Premium 2.060
Entry Price 1.78 DELTA Entry Price 1.931
Bid Price 1.93 PUT Bid Price 2.07
Delta Hedge 0.3381 Delta Hedge 0.427
Gamma 0.0887 IV Gamma 0.1272
IV 0.743 PUT IV 0.760
Prob OTM 0.61 Prob OTM 0.52
Intrinsic Spread > .03 Intrinsic
Strike 32.00 CALL Strike 30.00
Contracts 100.00 ALERT Contracts 300.000
Prob of Profit 0.1921 PUT Prob of Profit 0.1935
Profit/Loss $38.00 ALERT Profit/Loss $222.000
Skew Price 1.94 Skew Price 2.209

What sticks out is that the Implied Volatility is .743, well above our .45 threshold for mean reversion of a Buy Call signal; and that the Put indicators out weigh the Calls.

With a favorable out come of TWTR going short, we executed a cost reduction limit order with 3 Long Put contracts and 1 Long Call contract, to protect the upside, so not to diminish our profits.  You’ll notice we were pretty close in matching up the premiums for pairwise management of risk to reward ratios.

twtr earnings
Entered around $30.89. Surged up for a Call scalp profit and closed out at closing bell. Held the Put side to the opening bell on 10/28 to lock in profits at $28.80.

TOS “think back chart” (The outcomes are not as accurate given the intraday subtleties involved in our trade executions.)

The totals are listed in the above graph: Call profit was $38 on one contract and Put profit was $222 giving us a $260 pay out minus the per contract fees.  The whipsaw volatility on price formation was foretold by the OTM percentage.

*Codex.qbt is our bootstrapped Excel quantitative statistical model name.

It is in the Proof of Concept phase; based on the hypothetical Qubit “superposition” of categorical data inputs compiled into statistical data bins then calibrated for a “measure of certainty” outcome.

**Offset is the combined profit/loss between the Call and Put positions.  This is an excellent visual for “Strangles” and “Straddles” as you can see how both positions can become profitable at the same time.

Do you use TOS?  Would you like to have our Open Source Excel spreadsheet models for your own use?

Available for MSN Excel 2010, Apache Open Office and Google Spreadsheets.  These spreadsheets can be customized for your own trading style and watch list selections.

Inquire at: grtsmarket@gmail.com for a list.



Disclaimer:  The above information is for educational purposes only.  We make no claims of validity or suggestion for trading the assets listed.


As the world’s first cyber-security we were curious to investigate the PureFunds ISE Cyber Security ETF (NYSEARCA:HACK) that tracks the ISE Cyber Security Index (HXR).

Designed to deliver competitive returns, the overall asset classes of 30 securities included in the HACK ETF are approximately two-thirds software and programming and double digit allocation of communication equipment and mobile Internet devices.


Internationally, US based cyber-security firms lead at 72% over Israel (12%), Netherlands (5%), South Korea (5%), Japan (4%), Finland (2%), and Canada (1%) according to the Zack Funds report.

Clearly, publicly traded cyber-security firms that produce security solutions software against attacks on Internet of Things (IoT) devices are fast becoming highly sought after earners since the governments initiative to be proactive on legislation combating cyber-attacks.

Back in February 2014, bolstered by strong earnings and when President Obama pressed for new legislative initiatives to crack down IoT espionage,  the “cash on the barrel-head” stock CyberArk Software (NASDAQ:CYBR) skyrocketed.

CYBR was already showing an upward trajectory based on their quarterly net income at five times the previous fourth quarter in 2013 of $1.4 million.  Then it surged to a 52-week high of $72.48 in February before settling down to establish a new price strata in March around $50 per share.


The HACK’S three month performance on Market Value was 12.67%, rising to 15.54% this past month.  The top three holdings are Infoblox (NYSE:BLOX); CyberArk Software LTD (NASDAQ:CYBR) with 5.24% in total net assets, Fireeye, Inc. (NYSE:FEYE) with 5.19% and ProofPoint, Inc. (NYSE:PFPT) 5.16% in total net assets. As well, Palo Alto Networks, Inc (NASDAQ:PANW) and Qualys, Inc. (NASDAQ:QLYS).

Our volatility generator forecasts a 96.88% probability that HACK will hit $30.00 per share within the next 60 days.  Last Friday’s close was $27.84. Right now the price level is position near the 50% Fibonacci Ratio – showing a consolidation that precedes a breakout.

On March 26, HACK traded at an unusually high “buy” volume, a signal to us that its going into a 7-day Bullish trend.  This gives us confidence that an upward trend is in the making.  Listed below are all 30 assets in the HACK and their last “weights” performance (3/27/2015). Source: ISE Cyber Security Index.


Taking a lead from the projected increase in global security spending from $71.1 billion (2014) to $76.9 billion in 2015, three more cyber-security firms have announced that they are going public. Collectively, analysts are estimating a $1 billion or higher purchase total.  The firms are Rapid 7, LogRhythm and Veracode.


As deals flow to upgrade the cyber-security cycle in enterprising innovations coming on the market, coupled with the government’s “bullet train fast track” to take on the offensive against IoTs plaguing  American business and individuals, it is predicted that Wall Street traded cyber-security solutions sector’s profitability will be reach 25% or more by the end of this year.


Symbol Weights Company Name
PANW.N 4.69 Palo Alto Networks Inc.
SAIC.N 4.08 Science Applications International Corp
FTNT.OQ 4.65 Fortinet Inc
PFPT.OQ 4.82 Proofpoint Inc.
CUDA.N 3.96 Barracuda Networks Inc
RDWR.OQ 3.54 Radware Ltd
FEYE.OQ 5.17 FireEye Inc
SPLK.OQ 4.1 Splunk Inc.
QLYS.OQ 4.59 Qualys Inc.
BLOX.N 5.25 Infoblox Inc
IMPV.N 3.17 Imperva Inc
MANT.OQ 0.8 Mantech Intl Corp A
XLS.N 0.99 Exelis Inc.
SYMC.OQ 3.5 Symantec Corp
CHKP.OQ 4.06 Check Point Software (US)
CSCO.OQ 3.82 Cisco Systems Inc
ZIXI.OQ 0.77 Zix Corp.
FSC1V.H 2.55 F-Secure Oyj
JNPR.N 4 Juniper Networks Inc
CMP.WA 0.2 Comp SA
ABT.TO 0.78 Absolute Software Corp
GTO.AS 0.69 Gemalto NV
AVG.N 4.29 AVG Technologies NV
WYY.A 0.68 Widepoint Corp
IL.N 3.74 IntraLinks Holdings Inc
053800. 4.73 Ahnlab Inc
KEYW.OQ 3.17 Keyw Holding Corp
CYBR.OQ 5.2 Cyber-Ark Software Ltd/Israel
VDSI.OQ 3.16 VASCO Data Security Intl Inc
4704.T 4.26 Trend Micro Inc


The log-linear rule falls in between the “traders” price and the “net orders” affecting the price action.”  Prof. Doyne Farmer and Prof. Shareen Joshi*

Let’s be absolutely clear:  The National Best Bid and Offer (NBBO) is meant to protect the retail trader from pricing manipulation by their counter-party that could cheat them out of their profits, while benefiting the brokerage, proprietary dark pools and/or High Frequency Trading driven by their respective algorithms.

So I ask: Have you ever experience a “price dislocation”?  What I mean is that the price that you executed your exit at was blatantly offset so much – say over five cents – that an elephant could walk through it?  Well, you’re not alone.  Unless you the means of tracking this, say with an excel spreadsheet that is plugged into a brokerage house platform, you won’t know the origin of the “offset” that cut your calculated profits before closing.


Here is the comparison between the Thinkorswim (TOS) platform’s option chain for AAPL (Apple, Inc) premium prices and my Sharebuilder (SB) close price.  I traded AAPL at the APR option chain, the Strike price was 127.14.  My entry as shown below from the SB transaction history was a scaled in 2 contracts per 2 trades with a Long Call position.

My target limit was 2.05 on the Ask premium.  When 2.05 was hit I executed my close on the SB positions, but was you see, even though there was a drop in the premium on the TOS platform, the SB platform – connected to the BATS exchange – didn’t give me “best price” in accordance to NBBO rules.

sb aapl.jpeg (2)


Above is the SB transaction history.  My closing premium for all 4 contracts was 1.93, not anywhere near what the TOS platform was showing at the same Strike price.

2015-03-26-StockAndOptionQuoteForAAPL (2)


Just below the yellow highlighted ban is the current premium prices, last price and mark price, which all are well above the 1.93 closing price that SB gave me.  My profit loss was over $50 on the four contracts, leaving me with $16 in net profit.  Moreover, SB’s real-time price at this Strike price was previously held at 1.86 while the TOS platform’s Call premium price increased dramatically toward 2.05.  The lag time on the SB to catch up, and then not even matching “best price” as shown on the TOS platform didn’t exceed 1.96.


Whose the culprit behind this?  Conniving Leprechauns?  Pesky GPU malfunctions?  You may be surprised to learn that it boils down to High Frequency Trading algorithms (HFTs) trolling the exchanges for an opportunity to “flash trade” off of your executed trade; either when you open or close.  Since HFTs have direct access to contracted co-location to Wall Street exchanges, primarily located in New Jersey, their latency is measured in nanoseconds, whereas yours and mine are measured in milliseconds.


If you’re inspired to build an excel spreadsheet that will expose this detrimental price aberration you could turn to Walras’ formula:

dp over dt = -Beta D(p, …)

Or Kyle’s model formula:

P t+1 – P t = ω

But let’s keep it simple, as my point here is to just make you more aware of the fact that virtual pricing is overtaking your “true price” formation.  Take into consideration the first element in their formula concerning an asset or option premium’s price formation:


Form has two components that determine to be path dependent based on the price range (Bid/Offer) inputs provided by any one of the 13 market exchanges at any one second that eventually shows upon your computer screen.

The origin of the asset’s  “price” is fundamentally started at the opening of the market session and then sequential accumulation of both Ask and Bid share orders can be calibrated to determine intraday price trends.  That means if you set up an excel generator to record any equity Ask and Bid share orders, you can scale out a directional price movement forecast using the appropriate computational statistical mathematics.

According to Farmer & Joshi:

“a. This defines the weighted side which in turn shows the propensity toward formulating a trend that is either Bullish or Bearish.

b. Exponential Distribution equation defines the next calibration that is probability density accumulation.”

High Frequency Traders Can Shift “True Price”

There are 24,000 seconds during the Wall Street scramble to trade in one day session.  Within those 24,000 seconds, High Frequency Trading (machines talking to machines) causes 2.4 price dislocations, most often times cheating retail traders out of a few pennies on the equity’s Bid/Offer spread, including option’s premiums. That comes out to 57,600 price dislocations per trading day.


I have built a deterministic trading strategy that incorporates a quantitative excel spreadsheet “real-time” data input, calibrated to a set of parameters that eliminate the “noise” while showing the directional price formation of the underlying asset correlated to the options premium.  The most telling function is the price shifts and comparative profit between simulated Call/Put profits during intraday trading that are depicted on the GRTS Tactical Trader.

Below is a screenshot of the GRTS Tactical Trader spreadsheet:**

screenshot-{domain} {date} {time} (1)


I currently use TD Ameritrade, Thinkorswim, Dough, and Capital One Sharebuilder.  The reason is for the very reason I mentioned at the beginning of this article: tracking price dislocations, i.e. “flash trading” by HFTs that cause “virtual price dislocations” giving them a profitable edge on my trade executions, while I take a greater loss.


Rich K.

* “The dynamics of common trading strategies”, Farmer, Doyne, J. & Joshi, Shareen

** For TOS traders, the GRTS Tactical Trader is currently available in the Apache Open Source Excel format, for a token donation.  Inquiries via email are welcomed for further information and explanation.  This is for advanced users of excel and day traders.


Getting back on track with technical statistical analysis our summary Excel formulas assist in defining the optimal option premium/strike price to trade based on a number of values, set into our GRTS GENERATOR.  This is an all encompassing statistical data Excel spreadsheet that combines the underlying asset statistical analysis with their respective option chain.

We’ve calibrated a specific equation to signal an alert when a percentage pullback from the 52WK price high at a minimum of 12% with the optimal being 20%.  Second, the asset must show a higher than average liquidity characteristic for intraday trading.

On March 23rd TWITTER (TWTR) signaled an approximate 13% pull back from the previous high on February 26th of this year.

The 1HR Chart shows, compared to the Fibonacci Retracement, that TWTR bounced up from the 50% level, breaking through the 62% level, but there was not enough momentum in volume to keep it going north to the 78.6% level.  This is a fundamental move prior to a “breakout”.  Think of it like a sling-shot being pulled back before letting it go.  Typically, when you see a channel between the 50% and 62% Fibonacci levels that last over a week, there is a consolidation of inventory stacking up for a breakout.

This is where the DARVAS BOX (Devised by Nicholas Darvas who became a millionaire within 18 months by using this method) can validate your point of entry and exit.



The white rectangle box on the chart is the DARVAS BOX, starting with the high price point and down to the support (last price) for the closing day.

On Monday (March 23rd)  TWTR price went up, making a momentary breakthrough – $48.86 –  before fading back to $48.48 at the close.

Moment of truth was seen during extended hours – the light gray area on the chart – showing that the trend continued to favor the upside. Going into the opening today, TWTR confirmed our analysis that it was a Long Call buy.

Before the close, the price trend surpassed the +7.3%, closing at a a +8.21% overall move from Monday’s support price of $48.06, the best entry point that would have been covered on the intraday pull back before the close.

Taking a look at our GRTS Generator Excel spreadsheet, you can see our profit on the Front Month (APR), where we entered after it broke the “Previous Resistance” high price, shown on the 1HR chart.

Look for the “FRONT MONTH” to see our profit.

Stock quote and option quote for TWTR on 3/24/15 07:12:41
-56.31 -6.18 -1.16 1.94 0.7918
-0.34% -0.32% -0.04% 0.10% -0.08%
Mrkt Prfm Volatility Liquidity OTM Signal Last To Open
-0.150% -5.83% 0.20% Call Above
Asset Price 51.54 C-Return 1.0080
Net Change 3.080 Open-Last Inverse -0.0080
Price Action 4.310 2.87 Inverse P Act 0.0848
Bid 55.85 Net Ratio 50.8514 0.0283
Offer 51.46 0.715 0.4013 0.4869
Strategy Protective Put – April Long Put
Strike Entry Max Loss Stock Decline IV
50 1.22 2.26 47.74 0.3650
Front Month   Back Month
$70.55 -$62.00 $80.81 -$54.46
APR 15 (24) 100
03/24/15 05:17 PM
Call Front Month   Put Front Month
Premium 1.73 Premium 2.45
Entry Price 1.32 TWTR Entry Price 2.14
Intrinsic 1.65 Intrinsic 2.37
Premium TGT 1.98 Premium TGT 1.67
Delta Hedge 0.3792 Delta Hedge 0.3522
Gamma 0.0103 Call Spread Gamma 0.0246
Ask-Bid Spread 0.02 ~ Ask-Bid Spread 0.02
Prob Density 1.4489 Put Spread Prob Density 1.8033
Profit/Loss $70.55 ~ Profit/Loss -$62.00 

The “take-away” here is the validation of the move, and in this case TWTR came through, more so by breaking the 78.6% Fibonacci ceiling, closing today at $51.47.

The advantage of using this statistical analysis spreadsheet (plugged into the TOS platform) is its real-time data feed that gives you the opportunity to see which side of the option chain is being favored overall.  It may come early or it may take some time, but given our incorporation of the Covered-Call Return formula (shown in the GRTS Generator table as ‘C-Return’*, and Price Action indicator, we can have “leading indicators” that are based on computational mathematics – adaptive to the inputs and parameters calibrated to our own proprietary formulas.

You can have this GRTS Generator Excel Spreadsheet (Available in Apache Excel only), if you use TOS, for a token fee.  All equations and formulas are based on the conceptual approaches presented on Tastytrade by Tom Sosnoff and his team of experts and is meant to augment the Dough options trading platform as a means of seeing the reality of their formula constructs in real-time.

*C-Return:  This is a Covered-Call Return monetized formula.  If the the “Inverse” number is higher, than it’s a signal to lean into the Put side of the underlying asset.  This can change during intraday trading.

For more information regarding the GRTS Generator Excel Spreadsheet send me an email. If you’d like to request the GRTS Generator for a specific equity/asset you’re looking at trading, we’ll put it together for you, for a token payment.)

(Note: This presentation is for educational purposes only and not intended to predict or influence your own trading decisions.  The purpose is to show how technical analysis provides more in-depth insight versus the traditional indicators that are all based on historical data.  Using the Excel spreadsheet, we be more systematic by providing statistical simulations in the process of day trading.)


If you’re interested in a seeing a brief explanation of how I traded AAPL’s FEB Option Chain – Long Call then watch this video on my YouTube Channel.

In this video I show my strategy using some basic parameters.  These are Fibnoacci Ratios, Exponential Moving Average chart overlays and the options charts for my entered Long Call trades at the 115 and 120 strike prices.

Your take away is identifying: the optimal premium strike price in relationship to the volatility of the underlying asset and knowing when to exit the trade – price exhaustion.



Trading With Rich


This is a “cut-to-the-chase” solution oriented task to find out if your chosen golden asset is volatile enough to make it a profitable option choice and what is its correlation to similar assets within its sector/classification?

Take the past history of the “asset” for the last 40 days (it’s metaphysical) from Google or Yahoo finance’s prices.

Paste into an excel spreadsheet workbook. Copy only the close price and paste into the second spreadsheet. Leave an empty cell above so you can put in the ticker symbol

Next to the price column, starting on the second cell below the first price, put in the Excel =stdev(First Price;Second Price) formula.

Fill out the remaining cells to obtain the standard deviations.

Take the “Line Graph” and use “Lines Only”.

Fill in the graph with the STDEV outcomes.

Here’s an example comparison between AAPL and IBM.


The blue line is AAPL and IBM is the orange line.  My take away is that IBM and AAPL would be a good selection for a portfolio.  Why?  They are diversified enough as you can see, they nearly move in opposite directions that translates into protecting your asset allocated profits.   IBM surprisingly to me is more volatile so there might be more option premium volatility versus AAPL.  This is something I’ll need to look into.

Meanwhile, keep the excel spreadsheet handy.  You can check just one asset to get a reality check on its percentage moves and volatility characteristics that will save you a lot of headache in tying up your occurrences with marginal volatility.







(Disclaimer:  This post is for educational purposes only.  I am not making any trading recommendations nor can held liable for one’s losses.  It is entirely up to you to decide what makes sense.  The take away here is a template formula that you can use for your own strategy building model.)

S&P 500,  DOW and NASDAQ are all bullish currently.  FOMC meeting minutes will be released at 2PM (EST).

Symbol Price Offer Net Chng P Act IV 15D SV SD P Target
TGT 76.56 76.81 2.59 0.2118 0.1455 0.50 1.26 79.682

Target (TGT) climbed during extended trading yesterday after the closing bell, only to skyrocket this morning breaking its previous 52 week high.  The trajectory peaked at $76.93 before the jet pack ran out of fuel.

We’re in a mid-day session pull back and flattening out at $76.61(-0.12%).

TGT started its Bull Run on November 11, 2014, after a long dry spell caught in a sojourning price range.   If you missed the November 18, 2014 entry point to capture the final leg up, then it’s pretty much a done deal for anymore excitement.

What could have carried TGT to a new high are two items:  The Christmas Ugly Sweater competitions and the announcement that Google (GOOG) partnered up with TGT on their latest “Art, Copy, & Code” interactive, in-store mobile experience designed to thrill Target consumers of all ages.

Context and Analysis

The  JAN 15 with 9 days left to expiration.  The IV (Implied Volatility) Rank is 65% and the HV (Historical Volatility) Rank is 45%. In our strategy rule book that’s a “SELL” signal.  Currently, the Price range standard deviation is 1.26, which in offsets the “SELL” signal because it’s higher than the HV.

The JAN 15 option chain Implied Volatility is 26.59%.  We can recalculate the Implied Volatility using a matrix equation that determines the “true” IV with a preset of percentages applied to specific days.  This formulary comes from the team at Tastytrade/Dough.

We’ll use the 0.577% (7 DAYS) to adjust the current IV: .2659 x 0.577 = .15%

This tells us that there is a 15% IV potential of premium movement up to the day of expiration.

On the Call side: There are +10K open interests at the 76 Strike with a net change of +1.06 gain on the premium.  The current Mark is 1.49, pulling back from a 1.55 high.

On the Put side: comparatively there’s not much open interest to be seen, except a +2K at the 75 Strike.  Net change is -1.07, comparatively to the Call net gain.

Contrarian Play

TGT historically doesn’t hold its new high price levels.  More of a range bound price formation trait, We’re going to watch TGT to wait for a “reduced cost basis” PUT premium price on the JAN 15 option chain at the 76 Strike price that is currently hovering around .95 with a day high of 1.04.

That means we’re watching for another price move upwards into an already overbought scenario ; the underlying target price is $75.50 – first red arrow – (34 Exponential Moving Average – EMA) to the breakout from the EMA consolidation – second red arrow – as shown on the chart below.  If TGT returns to the EMA consolidation breakout (that might become its new support price, we’ll have a 3% move on the premium.  One PUT contract will bring an estimated profit of $144.

Our strategic rule on this one is when the asset skyrockets in one day, they’ll be a 50% retracement back down from the highest high.  The hypothetical price target posted in the graph at top gives us an idea of the potential of price move still left in the underlying before entering our Long Put on the JAN 15 76 Strike.






Overwhelmingly, there are too many opportunities to short options this morning and or go Long on Puts.  Today’s volatility presents an opportunity to show one of our favorite plays for those not qualified for option spreads, yet can trade Covered Calls and Longs.

As mentioned in my previous post with the VXX, we trade it make up on drawdowns, or to exploit for day trade scalps.  Here is the strategic formulary. Overall, you can use the fundamental parameters of this strategy on any asset that has high Standard Deviation ratios I will be posting an example later).   AAPL is a prime example, and you’re probably enjoying a huge profit if you just went Long on the JAN 15 Puts this morning.



This is a viable trading strategy that is Risk Averse for the Day Trader.

Using the TOS platform, I put in the the following parameters on the Trade tab for options: Bid, Ask, Implied Volatility, Net Change, Mark and Last X with Strikes set at “8”.  This gives me the best “reduced cost basis” limit order entry point; though in such a market as today, I’m flying by the seat of my pants with discretionary executions.  My computer has overheated, just trying to keep with my Black Box calculations because of the massive amount of trading today. 


  • Expect a +4 to +5% move up – so you can use your Analysis Tab on TOS to see what the price target will be.  Once this is hit, I close out that position (Long Call, two legs up from the opening price.)
  • Target the highest Volume and Open Interest Strike Prices; correlative to the percentage move.
  • Use the Analysis Tab to determine the “price target” in relationship to the Premium’s earning potential
  • Watch the Last X price – relative to the Mark for the lowest, “best entry” point.
  • Execute
  • Pull back is about -1.5%.  On the chart I put the INTRADAY SUPPORT AT $32.80.  VXX retraced back to this point.
  • I moved up two more legs to the highest volume and open interest (provides greater volatility move on the premium; and entered a Long Call on the JAN 15 when there was a slight pull back in the Last X price that gave me a “reduced cost basis” entry – thus I was in “profit” when my limit order was executed.
  • I held this position for the final run up that is typically +1 to +2% or $33.57 and then closed.

However, the caveat, is that you don’t have access to our Option’s Black Box that provides a greater in-depth insight that exceeds Level II by a thousand miles in signal based trend to price formation.

This table snapshot below was posted at 12:30 (EST)

Ticker Current Offer % Change Net Change Price Action MoC NPAMC
VXX $33.56 33.56 5.10% 2.570 1.1300 0.13 11.0988
TLT $129.02 129.04 0.78% 1.700 0.5901 0.14 8.0903
AAPL $106.51 106.54 -1.67% -2.820 -1.2366 0.68 -2.3142

MoC – What is this?  The Measure of Certainty is a new formulary that is Lambda based on variance and co-variance price formation. The NPAMC is the ratio of the Net Change, Price Action and Measure of Certainty.  The higher the number the more robust it is in validation, comparable to the F-Test.   Notice that AAPL, which has made a dramatic drop today, has a NPAMC of -2.3142 and an MoC at .68.   Each trading instrument has a specific MoC numerical range, that can be translated into binary code for a signal based algorithm trading program.  The NPAMC is the “adaptive agent” in the algorithm.

With an hour and half left in the trading session, VXX is currently:

Ticker Current Offer % Change Net Change Price Action MoC NPAMC
VXX $33.31 33.36 4.38% 2.320 0.8800 0.09 15.8810

The MoC has decreased signaling a decrease in net share trading; the NPAMC shows us a “consolidation” of inventory.  If you were still in the VXX on a JAN 15 Long Call, you’d be kicking yourself for not getting out sooner.  (Having closed out VXX, one could have jumped the shark to AAPL entering on the JAN 15 Strike price of 107 for a +$1.70 premium move!)

Here’s the current chart of VXX that validates my Proof of Concept.  The support price at the 50% Fibonacci is being respected.  We’re sidelined until the “witching hour” when the market makers will start dumping inventory into the market that will cause a mean reversion price surge.  The current aggregate market performance is -1.84%, just below -2% which is the lowest overall percentage.  Only once have we seen a -4% drop during the day,


 Below is the VXX compared to the SPX on the 5MIN Chart.  They are nearly equal percentage moves, offset by 0.02%. If you wanted an entry point, the crossover would be your validation.



You have seen validation of our contextual “percentage move” strategy on trading Long Calls and Puts using the VXX as a day trade opportunity for profitable outcomes.  It’s not a perfect science, and one must intuit their own trade execution, but overall VXX has proven this pattern more than 80% of the time when market performance is -1% overall, with high sell off volatility.

Time to buy GOLD.



Disclaimer:  I’m not predicting or recommending you make these trades.  It is purely for educational purposes to provide you with a sharper image of how the market works so you develop your own strategic plan.