iBankCoin
Joined Oct 26, 2011
153 Blog Posts

How to Make Over 500% In A Single Trade?

If you are wondering how to make over 500% in a single trade over the course of a day? The answer is simple…

“Google it”

GOOG
If you bought the pre-fed dip you made a $20 move in the stock. In options if you can get an out of the money option on a high priced stock to go in the money when you sell, that’s usually a huge win. Afterall 1% in GOOG is about a $9 move. So if you own an option that hits a 2% move in a day and it goes up around $10 to reach “at the money” status, and another $10 in the money, the potential is amazing.

how to make 500

After Hours With The Option Addict
pays off big time. Each $150 contract ($895 strike) you could have had in the GOOGLE today yields $1000. I think the $900 strike (Maybe you get it around $0.65-$0.75?) would have made like 800% today if you bought around the same time, although obviously you probably don’t get these results every time and higher strike price can equal a lower win rate and even lower returns if you don’t get that perfectly timed move. The “other” $900 stock PCLN was up $25, also mentioned in After Hours offering another huge potential winner.

And for those who didn’t know, he also had you in CRM weekly calls which would have netted around 500% as well depending on if you held through the entire day and also when you were long. Insane.

 

Comments »

Setting Up The Calculations

This is an ongoing series on how to construct and implement a position sizing spreadsheet to help you optimize the money management aspect of your strategy. It will be capable of helping you maximize things such as probability of reaching a certain return in a year, or probability of reaching a certain percentage return or capital amount by a certain deadline, or minimizing your chances of ending up down a certain amount over X trades. This will help you to trade more consistent with your goals and come up with more realistic expectations.

Part 1 WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Part 2 Building A “Position System Simulator”

Part 3 Building Cover Sheet, Determining Probability of Results (Position Size Simulator Part 2)

Part 4 Adding To The Cover Sheet

Part 5: Setting Up The Calculations

As stated in the past, I want to create a spreadsheet that simulates all possible combinations of results with a given “weight” according to the probability of each result happening.

Formulas are the “engine” behind this spreadsheet. If you want to know the probability of a 20% drawdown over a series of 5 trades or 25 trades, or the probability of any result over X trades… you have to have formulas that can calculate that, given certain data.

The cover sheet gives us a “starting bankroll” and % of capital used per trade and the data that we can set up. We want to use this data plus the data for the “fees” in the cover sheet and the ROI on the calculation sheet to determine the result of a set of 5 trades and repeat for each possible combination of 5 trades. We will start with 1 single trade.

To set up this formula to solve for all, we must use the cover sheet. Lets come up with the formula AFTER fees for trade 1.

(Starting Bankroll * bet size*ROI of trade 1)=return in dollar amount after one trade before fees

+ Bankroll= bankroll in dollar amount after one trade before fees.

– ((# of contracts*fee per contract)+Commission per trade) = bankroll after 1 trade (fees included).

We can clean this up a little and simplify this to:

Bankroll after 1 trade=(Starting CAPITAL towards trade * ROI1)+Bankroll – (fees).

We just need to run the calculation on the cover sheet for FEES and “Starting Capital towards trade”. This will require less switching back and forth between tabs and make the what formula is accomplishing once we run it on the spreadsheet less confusing.

Now trade 2. We will be left with a different amount of capital from trade 1, and use a different bet size in dollar amount. So now we must use the formula:

$ at risk * ROI  + Bankroll – Fees

But $ at risk depends on CURRENT bankroll times bet size and CURRENT bankroll is based upon what we just calculated. Additionally FEES depends upon # of contracts which depends on current bet size.

so $ at risk is replaced by

(previous bankroll * bet size % )

And Fees is replaced with

((# of contracts) * (fee per contract))+ commission

(# of contracts) is then replaced with

(Current Bankroll * bet size %)/option price (we won’t round and will assume fractional contracts. In real life your bet size and results will vary as a result depending on how you choose to round).

The complete formula is thus

Bankroll after trade 2=(Previous Bankroll * bet size) * ROI + Bankroll – ((((Current Bankroll * bet size %)/option price)*(fee per contract)) + commission)

Bankroll after trade 3,4,5 is actually the same so we can replace the 2 with X.

The 3rd, 4th, and 5th trade is simply the same formula, only adjusting “current bankroll” to reflect the results of the bankroll after the previous and most recent trade.

So now we simply convert it into “excel language” we want to substitute each aspect of the formula with the corresponding cell on the sheet or on the cover sheet that corresponds with that particular data set.

Then we will want to use an easy feature to make sure that formula is applied in a similar manner for ALL relevant cells, rather than just one.

 Setting up the formulas:

What may make things easier, is if you just copy and paste the formula in it’s current form, and then use a find and replace function to replace the text “Previous Bankroll ” by “N3” or whatever corresponds to the cell which contains the bankroll after the completion of the first trade. Or in the case of the first formula for the first trade, replace “Starting Bankroll” with “cover!C19”. There is one problem with that as the “previous bankroll” for each row of cells will be different, as they will correspond to different potential ROIs. We will get to adjusting for this in a bit so you can apply the formula to all cells For now I am just going to list the formula according to the way I have set up the spreadsheet.

Bankroll after 1 trade=(Starting CAPITAL towards trade * ROI1)+Bankroll – (fees)

Translates into the excel notation:

=(cover!C25*A3)+cover!C19-(cover!C26)

The only variable you will want changing for the entire column (in this case the “N” column), is A3. For row 3 it’s A3, for row 4 it’s A4, etc. A3 corresponds to the ROI for that set of trades and this will occasionally be different.

The formula for the remaining trades are

Bankroll after trade X=(Previous Bankroll * bet size) * ROI + Bankroll – ((((Current Bankroll * bet size %)/option price)*(fee per contract)) + commission)

That translates into trade 2 cell has formula

=(N3*cover!C24) *B3+N3- ((((N3*cover!C24)/cover!C22)*(cover!C21))+cover!C20)

trade 3

=(O3*cover!C24) *C3+O3- ((((O3*cover!C24)/cover!C22)*(cover!C21))+cover!C20)

Trade 4

=(P3*cover!C24) *D3+P3- ((((P3*cover!C24)/cover!C22)*(cover!C21))+cover!C20)

Trade 5

=(Q3*cover!C24) *E3+Q3- ((((Q3*cover!C24)/cover!C22)*(cover!C21))+cover!C20)

Illustration with all formulas included for people that are more visual (every formulas added in over image for clarification).

formulas

 

That gives us the outcome after 5 trades given ONE single set of 5 trade combinations. There are over 3,000. There is no way we will do this all manually.

Now, the only thing that really changes as we set the formulas up for all possible trades is the number after A for trade 1, numbers after N and B for trade 2, numbers after O and C for trade 3, P and D for trade 4 and Q and E for trade 5. The numbers must change to correspond to the row where as everything else will remain the same.

If you click and drag the formula, it changes ALL numbers, rather than just the ones you want.

There probably is an easier way than the way I will suggest, so if anyone is an excel guru and knows it, I would like to hear it, but this is what I do…

Set up a separate sheet that basically isolates the component of the formula that you want to change from the one’s you want to keep the same. Keep the equal sign separate so it doesn’t try to calculate anything or autoadjust the formulas.

In the first trade we only need to adjust 1 number after A. So copy each column and hit CTRL+SHIFT+Down Arrow to select all and then CTRL+V to paste. For the next column you can just double click on the bottom right hand corner of the cell to autocopy and paste all the way down until the last row that was used. However, the column you want to modify you must adjust the formula first. In this case, we want each formula to contain 1 number larger than the previous so we use the formula =C2+1 and excel will run that formula for all cells down the entire column.

changeformula

 

It will do this and then eventually fill in with numbers.

Now we have to bring the formula back together so we can paste it back into excel on the tab we want to. So we need to copy and paste all the formulas we want to use into a notepad (so page down and highlight about 3200 rows or more and then use CTRL+C to copy, and open a notepad then press CTRL+V to paste)

The issue at this point is that between those cells it automatically created a “tab” over or a separation between the formulas, so highlight the spaces and copy them and do a find and replace to replace the spaces with… nothing(leave the replace blank).

findandreplace

Replace all!

Then copy and paste this BACK into the excel spreadsheet so you can put in all the formulascoversheetreplace1

 

Repeat for all rows. The easy thing is, the find and replace for after trade 2 and after trade 3 is incredibly similar. You can simply change a couple letters in each formula on the sheet and double click the corner box to copy and paste down the row rather than re enter in the entire formula and isolating each component after setting it up for row 2 and 3 and 4 and 5. One bit of advice, separate the equals sign, plus sign and minus sign in it’s own cell, otherwise it will try to run a formula and change it to contain an equal sign.

This should only take about 5 minutes to get all of the formulas set up in this manner.

Now what do we have? We have the RESULT after 5 trades for every possible trade, and we have the probabilities of each event occurring. We are real close to finishing this up.

We will wrap it up by a few post that sets up a formula to weight each event by a probability of occurrence and adding a weighted average and then using a formula, apply this and expanding it to 125 trades, rather than just 5 and our work will be mostly complete. I may add a “bonus” section of this series to clean up the data and give us conclusions right on the cover sheet automatically and other features that may be useful to add. I would like to adjust this to come up with a spreadsheet that allows you to consider making multiple trades, rather than just one if I can figure out how.

But as mentioned previously, at some point I want to get into discussing my philosophy as well, and converting that to a dynamic strategy, which is currently in development.

 

Comments »

Adding To The Cover Sheet

Part 1 WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Part 2 Building A “Position System Simulator”

Part 3 Building Cover Sheet, Determining Probability of Results

Part 4 Adding To The Cover Sheet

Part 5: Setting Up The Calculations

It’s been awhile since I discussed my position size simulator or worked on it. Since it’s not as fresh in my mind, and I’ve been lacking in the sleep department, I am going to keep this post brief as I get back into the groove and do more writing about it than actual action.

coversheet

 

This is what it looks like after I have added some variables. The highlighted yellow on the side for W1-W5,P1-P5 is just pulling data from another sheet if I want I can enter it in. Very simple calculations to determine the number of shares/contracts you can buy given the % capital per trade and starting account size. Very simple calculation on $ of capital towards trade. % of capital per trade times starting account size=$ of capital towards trade. $ of capital towards trade divided by share price or option price (for each full contract of 100) equals number of shares or contracts.

 

So set this up.

With this, we will be able to pull data and run calculations and ultimately determine based upon every individual possible combination that the 5 trades can go (based upon our given parameters of 5 possible outcomes per trade) what the amount of capital we will have after 5 trades based upon the position size and information given.

From there I believe we will be able to aggregate all the data and weight according to probability of each event happening, and then determine the probability of reaching certain criteria after 5 trades. Really we will have all the information we need to determine after X trades (multiple of 5) what the probability of certain criteria would be.

For example, the odds of 5 losses in a row can help determine the probability of 10 in a row by multiplying the odds. The odds of 10 “wins” in a row can be determined in a similar manner. If we have a duration of “trading career” that lasts say 150 trade periods (of one trade only unless we make significant adjustments), then you can determine what pace per 5 trades return you need to reach a certain goal and determine the percentage of series of 5 trades that are OVER that amount at a given bet percentage. And you can either maximize your probability of reaching that goal… Minimize your probability of getting a particular loss threshold… or a combination of achieving a minimum probability of reaching a certain threshold or more while still also limiting the probability of a particular 5trade long draw down to being under a certain threshold as well.

It’s important that you also understand the assumptions that this makes. It assumes that the data given is a correct accurate assessment. It also assumes that you have the psychological disposition to stick with the same system/bet size throughout many potential loss streaks you may run into. It also assumes you trade the system as effectively as the numbers dictate.

In reality, I think you can be reasonably confident that a strong possibility of it being a slightly “fatter tail” and fractal market and all that black swan stuff exists, but you still have a certain confidence that the data won’t deviate too strongly and I think you can still manage your risk and adapt your system as the feedback changes.

Some change systems based upon market conditions. That provides a better quality of sample size when evaluating systems, but to me is done on a lagging basis and won’t have a huge advantage since you are chasing the system that works in the given conditions, rather than anticipating it. Instead one might have capital allocated into trading different systems based upon the assessed probability of seeing that particular market type in the future.

At some point I want to get into an approach to the market I am developing that I consider most appropriate. But first I still will have to work on calculations that pull FROM this cover sheet for all the possible combinations of 5 trades. Then I will set about a sheet for a series of these 5 trades and a series of those 25 trades to construct expectations based upon 125 trades.

The next post will begin to set up the calculations sheet, which will do the bulk of the work.

Comments »

Shockingly Bullish? Why The Dow Could Go to 40,000 By 2020 or sooner.

Every now and then when I get the feeling we may be at extremes (I started writing this before the recent pullback but haven’t gotten around to finishing it until now but I will edit the rest of it) I like to check to see if there is any past behavior in the market that can give us a clue. Human nature remains very much the same even as power, leverage and credit shifts, that too is governed by human nature. Charts really are only available since the 1900s so 110 years worth of data perhaps doesn’t really capture the rise and fall of entire nations and how that effects the economy and trade and the growth of technology is a wildcard as well.

Still though, that’s a long time to look for patterns and we should be able to find some time frame in which we recovered from a major low and are years into the recovery. Of all those periods, we should be able to find one that lines up well.
While there seemed to be several periods of time that lined up fairly well, there are really 2 candidates that I really liked that came off a major bottom.

Unfortunately they are polar opposites. The one was 2002-2007. I actually think this similarity is exactly what we need for SOME of the crowd to believe any short term dip is the start of 2008 all over again. Many people get caught “fighting the last war” and it is this that keeps them fearful. 2008 is fresh in our minds, and less likely to happen. I think too many people will be looking the first sign of a minor move down which is all they will need to not believe the rally and create “disbelief”. The one that I think will shock some people is the period of 1920-1926 which lines up well with the current market.

2013 as 1926

meshed

meshed color

Since I have created this, the dow has declined a bit and diverged in direction as well. Nevertheless, the last time I saw an analog line up like this good was in 2009 near the bottom. There were also decent analog in GOLD and various markets in bear markets that along with the thin volume profile below and heavy volume profile above (as many would be underwater with not enough buying support to sell) allowed me to predict a sharp decline.

In the dow, we rallied from the low the expected 60% but actually kept going. Analogs only work so long. I blogged about this way back. In fact, to access it we have to use the “way back” machine.

http://web.archive.org/web/20090108182333/http://www.ibankcoin.com/peanut_gallery/index.php/2008/11/17/historical-comparisons-part-1-now-vs-1929

Back then it was “now vs 1929” where 2007 lined up with 1929 top basically and 2009 low lined up with the 1929 low. There was a big “bottom” that would have resulted in a 50% increase before it started to diverge from the analog and continued higher thanks to a more elastic money supply and completely different market structure. Now it’s “bringing back 1929” where mid way through 2015 or late 2015 lines up with mid 1929.

If this actually works going forward it is suggesting a huge bullish move as took place between 1927-1929. During that period, stocks went up around 150% depending on where you measure from exactly.

There are other ways to look at potential targets. However the big issue we still have to overcome is the long term trendline of the dow which puts resistance around the general range of 16,000.

16000

There is support around 13,000 and then 10,500 and then again at 7500 and very, very long term support at 6000 or so. On the other side, the resistance kicks in around 16,000. After that? There is really no reference until around 40,000 on very, very long term resistance.

max target

Unfortunately, that’s a very wide net to cast because if it is in fact “2008 all over again” there is still plenty of downside. But I think the easy money will be if/when dow breaks the 16,000 resistance zone.

Ideally, we will soon get a sharp crash in other parts of the world, and the US likely will also get hit initially, which could set the stage for a monster parabolic run, like in 1987 when the US markets crashed and capital concentrated into Japan from 1987 into 1989 peak of… you guessed it, 40,000 (well actually 38,957.44 but close enough). I think that because both 2007 analog also lines up this will convince enough people that 2008 is here as we decline and diverge from the 1920-1926 analog. Then a significant decline will start possibly next month causing people to expect the move only being just starting. At this point, the market will blast off to the upside to ply catch up with 1920-1926 analog leading into the 1929 type of peak, which could easily top out before the late 2016, or diverge and fall short of the target but continue the climb as 1929 declines, diverging.

I actually am crazy enough to think that can happen in the U.S. The “tell” being the recent wreckage in Asia while the US markets stayed near their highs. The shift out of the Nikkei was also likely a global one. Maybe there is another move, coming up, maybe that was it.

Here is what we know:

1)The other markets around Asia also sold off, as well as emerging and frontier markets, indicating it wasn’t just isolated to one country.

2)The currency. After declining 30% from it’s peak, the Nikkei basically doubled from November 2011. So put this in a global investors perspective. The balance sheet was 30% less valuable on average to others around the world, yet the price of those companies are twice as much? Wouldn’t you sell? If you were in Japan and your currency was devalued, you certainly would prefer stocks to cash, so while the buying was probably mostly domestic, the selling was likely global, and hence why it was more than just your typical profit taking correction where the correction is relatively “orderly”.

3)1987 crash in the dow in a single day was a global phenomenon too as the dollar had lost 50% of it’s value from the 1985 Plaza Accord high). Take a look at the action of the Nikkei afterwards. This time it may happen in reverse where another nation such as Japan crashes in a short time frame and the US stocks then are the beneficiary. Perhaps it already happened as Japan dropped over 20% in a few weeks from May-June.

4) Although you can talk about the fundamentals for the dollar when involved in actual trade and exchange and speculation, the dollar is the only global currency with enough liquidity to absorb the international demand of central banks and very large funds who need to park extremely large amounts of capital in the world reserve currency.

5)Although you can talk about how dividend payments are low, compared to the low interest rates in a bank, CD, money market, or even bonds, the large money, particularly pension funds in order to stay solvent will be forced out into more speculative junk bonds, preferred shares, and the like. Interest rates will have to come higher which long term is correlated with major secular bull markets around the world. The hunt for return will chase people out of yield and into speculation, but if they must have yield, they will need to get in high dividend paying “blue chip” stocks real soon while they’re still cheap and yielding a reasonable amount.

6)The global concentration of capital into the US, and shifting out of the bond market in my opinion and opinions of those I respect will likely lead to a secular, if not parabolic run.

 

Parabolic runs are nothing new, they are simply a concentration of a large percentage of all available capital into one area (or globally) both for purposes of avoiding other “dangerous” assets, or the simply concept of “herding”. Here are four known “ancient” bubbles. Actually 3, south sea is there twice.

bubbly

and I found this as well which has some other “ancient” stocks.

source:http://www.sciencedirect.com/science/article/pii/S0304405X12002541

“Even the Tulip Bubble, the first contagion post-Dark Age, was a European-wide contagion as tulips even traded in London. There were ancient contagions and panics. Stocks traded in Rome, insurance predated even that, and commodity markets thrived in a boom bust cycle as far back as Babylon.”

Domestic Panic v International Contagion

I do not have the Boom/Bust Bubble charts of Babylon, but regardless, where there are markets, there are price changes, and the potential for “bubbles”.

The fact is that not only that “bubble’s” are ancient, but that it represents a concentration of capital on very large scale levels. It is not simply JUST emotion, as that can only drive the force which causes capital to concentrate. In many cases you need debt and global or at least very widespread interest. A large percentage of the known world economies must become interested and concentrate into one market, particularly near the height of a business cycle top.

Here is japan on 100 year chart to give us similarities with the US one. Not an analog per say but  to show you the structure was relatively “normal”, just as dow 40,000 might be “normal”. (almost no one will look at it that way until it’s too late, as it is only the structure that would be normal, not the perspective)

nikkei

You probably more often see the small chart I included for comparison on the right dating back from 1970 leading to 1989. This appears to be a break of a trendline channel with no reference points and a mania run. And in many ways that’s true but it isn’t without longer term reference and structure that in fact is a bit more predictable than one may think. Look at the chart on the left that truly offers a long enough historical comparison for us to see that 1989 could really just be perceived as a test of very long term resistance on a trend-line, and in that sense is relatively “normal” on a long enough time frame. The same goes for the dow if it goes to 40,000 and tests very long term resistance as I showed earlier with the very long term trend channel with around a 40,000 target.

The view on the left side is what very few are used to seeing. A relatively “normal” rise in a channel and correction that doesn’t actually seem so shocking until you consider the time frame is 100 years and the market went parabolic on a short time frame and the correction has lasted over 2 decades.

Here is another market. First the chart you are probably used to seeing when you look up charts of the 79 parabolic run in silver and gold.

silver and gold

Again, without more data, you would conclude that this has zero context or reference point, and is simply a parabolic run as you would when gold went up to $1900 only recently. But here’s a much greater historical context of data.

200yr gold

I bet you never thought of gold at 1900 as hitting “long term resistance” before, huh? So gold at 1900 actually was actually just a “test of resistance” Even though, most had no idea that there was ANY to be found. I think the data derived from understanding the total global “allocation” weighting towards each asset class at a given time and factoring in supply would be much better to measure with regards to bubbles to know just how extreme these moves get by asset class. Hence why the trend can be higher, but references of extremes remain somewhat predictable providing the maximum possible swing before capital must revert back to other assets which now will have been neglected. Bubble’s “end” when either the credit can no longer expand at the same rate, and in fixed money supply markets (such as gold standard) where or the allocation weighting cannot shift anymore aggressively towards that asset without completely neglecting and providing ridiculous valuations and opportunity elsewhere. Even sometimes as famously said, “the market can remain irrational longer than you can stay solvent”, it still has boundaries eventually. The 1929-1932 crash was actually a rise of 50% in the dollar from 1920 to 1932 that supports the relatively “normal” 50% decline story that has examples littered throughout history. But also support the history of bubbles popping back to the trendline. The capital inflow and demand of the US dollar first shows global allocation, and support the “normal” constraints of around a 50% decline with an additional increase in the dollar that both inflated the bubble and deflated the decline due to the gold standard (money was fixed to gold so as it could not rise independently on it’s own, everything else had to fall in value with it as capital rotated out of Europe into the dollar and gold).

The gold standard bubbles in gold are instead a flight to cash and represent the slow down of the velocity of money and hoarding of capital, and effectively “deflation” and “flight to quality”. The gold bubbles that occurred where money was not a gold standard, represent a concentration of capital away from the debt markets and currency markets and sometimes stock markets. “inflation” MAY cause gold to rise but actually doesn’t have that much to do with it, but instead a shift away from government and/or private paper. Even so, it’s never that simple because gold is globally in demand and different nations have different money systems but it still behaves with structure, because of the nature of “limits” in how much people can spend, without neglecting other assets to such an extreme it motivates a shift back to the neglected assets, or how fast people can keep money moving to the point where credit can’t expand fast enough to keep an asset growing and the credit cycle must end.

The bubble peaks when buying power cannot sustain the prices and the slightest amount of selling pressure and all the volume that came in towards the end buying “at any price” suddenly end up underwater and want to sell. Everyone who wants to buy already has done so and the price can go nowhere else but down.

But nature of bubble’s aside,  All asset classes can act like that since price is a function of confidence and perception of return relative to all other opportunities. (Liquidity also plays a role as well as it has to be a market that the largest players can get in and out of.)

yields

Yields went parabolic even and the other direction you might even look at the decline of yield as a parabolic run in price. There are points in history where bonds of companies and entire governments eventually yield nothing as soverign debt collapses. But when yields first broke-out and some said it started to go parabolic, was measured in decades, rather than years (except the final move at the end). The time frame of such a cycle is much different than stocks or gold. Bond yield “bubbles” or “price yield “bubbles” are very different in nature, since treasury bonds have become currency that pay interest since you can borrow against it, but such a shift in confidence still exists.

We have three great examples of charts of stocks going parabolic here. The roaring 20s, the Nikkei bubble into 1989, and the nasdaq bubble into 2000. (of course the earlier picture also is some of the ancient stocks such as Londan Assurance and South Sea companies going parabolic).

nasdaq

You can see that as a trendline is broken, and it doubles, if during that double it breaks another trendline, the time in which it doubles is significantly less. Actually the move into 1984 was a slight break of the previous trend and after the pullback it basically doubled from 300 to 600 in 8 years first. Then 800 in 1994 to 1600 in 1998 4 years. Then 1999 to 2000 from under 2500 to  over 5000 in 1 and a half years. It’s not so much the magnitude of the move itself but the timing and historically large moves in shorter and shorter periods of time.

When the major break of the trendline is made, the asset often accelerates to it’s peak. In the extreme example like the Nikkei or nasdaq we see it double and then double again.

Perhaps if/when we break the long term resistance it will instead be a “secular” run rather than a parabolic one. Afterall, as I have shown, the returns are possible to continue measured over a long period of time. I am not yet convinced we won’t see a significant pullback first, and we are coming up on the period of time August-October that worries me.

However, the actual very long term resistance probably will still hold, so it’s a question of whether we set up a quick run to extreme historical highs (1929), or a gradual run to large gains over decades (1942-1965, 1982-2000). You could measure from trough to peak, or you could measure from the distance after the breakouts. I have done this in historical look from 1900-2013.

Most relevant right now is “Gains from “breakout” point (This has YET to happen)

1924-1929 104 to 386.1  A 271.25% Gain

1951-1966 235 to 1001.1 A 326% Gain

1983 to 2000 1100 to 11750.25 A 968.20% Gain

(ALTERNATE: 1983 to 1987 1100 to 2746.70 A 149.70% Gain)

(1995 to 2000 4000 to 11750.25 A 193.76% Gain)”

With a breakout point of 16,000 (it’s actually above that), you only need 150% gain to get to 40,000. So the 1983-1987 period would be like 2013 or 2014 to 2017 or 2018.

You can add onto that the parabolic runs of the nasdaq, and the nikkei with minor considerations and even look at a few of gold’s historic runs to get an even more bullish target.

I think ultimately if you think the market is going “parabolic” the very long term upper trend channel that I outlined is the target, which is around 40,000. I think history shows that if you break a long term trend channel, you can see stocks do far more than double in only a few years such as in the nasdaq or Nikkei’s final run up depending on when you measure from.

Then there is the dow in the roaring 20s. Before it broke the long term resistance lets see what it looked like first.

roaring 20s pre breakout

Compare that to the dow right now.
16000

Since we have already identified the extreme similarity of the timeframes aligning 1926 and now, we can project forward and perhaps predict the future if we see what the roaring 20s looked like?
roaring 20s post breakout

It put in about a 150% gain in 4 years. Where does 150% gain from the breakout point of around 16000 take us? You got it, 40,000 by 2017-2018 depending on if we break now or in 2014.

Or take the nasdaq run. From the 900 to 5048.62 peak it gained at a rate of about 3.02% per month. If the Dow goes on that kind of a run, after breaking 16,000 it will reach 40,000 by early 2016. (I consider that optimistic of course).

Another way to look at it is the Nikkei was at 10,000 in 1985 2 years before the 1987 crash and got to 40,000 in 1989. 2 years before the recent wreckage in Asia, you may recall the dow was actually a little above 10,000.

Well, the odds are not that great that it will go to 40,000 in that short of order, let’s be honest, but it’s the extreme “outside” chance that I see as more possible than many may comprehend and at some point, it is only a matter of time before the extremes of the long term trend channel are tested. I also see a longer term durable secular break that could take maybe 10 years or so to reach that level as a possibility. Of course so is one more cycle top resulting in a decline to retest support setting the stage for a more durable run. But To me, this shorter term bearish phase we may be heading into could very well set the stage for all the shorts to come in and pessimism to make one more strong run setting the stage for the ultimate bear trap before the parabolic run.

Afterall, when do you ever see analysts calling for that type of run before it happens, or even a secular run? While I think the odds are much better that we simply correct a bit first and then perhaps go on a longer drawn out secular run, do not sleep on this possibility.

I think we will see a very strong and sharp correction somewhere that will keep the majority “wrong” both in the short term as they chase the “froth”, and in the long term as they avoid the casino and vow to never return and claim “2008 all over again” at first sign of a minor correction and continue to try to short it. (well until it hits 30,000+ and they can’t help themselves and everyone and their mothers start buying).

It is the type of “sky is falling” type of move that will scare the public from getting in while the getting in’s good, and the type of psychological “aversion” to stocks that create enough pessimism to cause the majority to miss the move until it’s too late, then they are afraid to chase and afraid to chase and finally they think it’s stupid not to and they don’t want to “fight the trend” and they go “all in” when they have hoards of cash that comes from the boom as credit cycle peaks. I am not as convinced that on the long term timeframe we have had  that complete aversion and think that perhaps 2011 was just an aversion on a shorter term run and a prelude to the decade long aversion. But I am open to the possibility that we break to the upside with not much more downside. Personally I think September will be a major shockthat has everyone coming out claiming “stocks are rigged” or “investing in stocks is suicide” to an even greater extent than we saw before. Then as we break out there is major denial and people saying “no way to stocks go higher, then suddenly they realize they were wrong, and the story of stocks to the moon occurs. Dow 100,000/200,000 calls are made near the top.

mediaawareness

And you’ve all seen the chart Option Addict refers to a lot. I personally think we are entering a bear trap on the above chart and “aversion” into September, but I could be wrong and as he suspects that could have been 2011.

sentiment chart

Although the market may be similar to 1926, the market also looked similar enough to periods near “market tops” or prior to “corrections” for me to continue to be concerned in the very short term, but many of those time periods weren’t too far away from a major secular run after the wreckage was over, and there are a few bullish periods as well.

It’s enough for me to be concerned, especially along with the bearish seasonals into the August-October range, the budget battle in September (deadline of October 1st) and the Germany elections September 22nd and other various headwinds. I think though after that we may be in the clear. Just for kicks, here are all the analogs I consider relevant.

analogs
Ultimately, my bias is much, much higher, and the best analog is still probably 1926 but we need to actually break resistance in order to set the stage for a large run, until then I will be a bit cautious, unless we get more of a dip around September setting the stage for a significant buy opportunity.

The strategy if we are going on a strong secular run or parabolic move is probably going to be to consider more of a longer time perspective. If you use options you might go further out in strike price and time and use smaller position size. This way you can have more names with less total capital at work of the “lotto” type of swing for the fences plays… Perhaps on a longer term time frame, and more of a “monthly lotto” which means you probably want to focus on the naes that really can trend for weeks when they go. The swings will be more “momentum” type of moves that just take off and keep going. The duration of swing and actual price movements are likely to be greater and breakouts are likely to carry on and last, pushing stocks to significant momentum extremes. Perhaps moving towards a trend strategy or position trades rather than swing trades.

If you use stocks, you might consider widening your stop and also letting your winners ride for a longer period of time, perhaps using a wide trailing stop.

If you aren’t looking to change your core strategy, you might just grab a ETF or 3x ETF and hang on for a longer term move with a portion of your funds and keep doing what you have been. Or you might consider decreasing your cash percentage. However, it’s very possible the volatility could pick up, shaking people out often enough to keep them in disbelief and keeping others who sold lower willing to chase the same stocks higher and push it up.

Me personally? I have been working on structuring a basic plan that I have figured out conceptually, but that I want to get more specific about. Part of that means finishing my position sizing and expectation spreadsheet. I will when I find the time.

 

Comments »

Building Cover Sheet, Determining Probability of Results

Part 1 WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Part 2 Building A “Position System Simulator”

Part 3 Building Cover Sheet, Determining Probability of Results

Part 4 Adding To The Cover Sheet

Part 5: Setting Up The Calculations
In this part, we will go over as the title suggests, building a cover sheet. Ultimately this will summarize all the data on one sheet so it will be the only sheet we need to look at and adjust. We will then set up a formula to help us to determine the probability of each individual possible outcome of the 5 trades we have set up. Once you have all the possible combination of outcomes plotted from the first part, it’s time to begin to build a “cover sheet”.

The cover sheet will have all the “adjustments” made to the system on it. For example, you basically list how you manage your trade and the probabilities. W stands for your “win ratio” or your edge or ROI

w1 -20%
w2 -10%
w3 0%
W4 10%
W5 20%

This would signal that your system either takes a 10% loss or 20% loss and targets a 10% gain or 20% gain. The next portion assigns probability to that system.

P1 10%
P2 25%
P3 20%
P4 25%
P5 20%

Would indicate that you have a 10% chance of hitting your 20% loss, a 25% chance of hitting a 10% loss, a 20% of scratching out for an average of no gain, a 25% chance of a 10% profit and a 20% chance of a 20% profit.

So you make a cover sheet that for starters can be real simple and look something like this. It really doesn’t matter at this point what the data is, you will adjust that for your system once it’s done.
cover

More will be added to this cover sheet later. The goal is to not have to look at any of the other sheets unless you are adding some other feature or modifying it. Once you are done, the cover sheet will be where you input the data AND give you all the information you need to draw any conclusions.

Now you can go back to your other sheet and use the “find and replace function” (CTRL+H) to replace each of the numbers generated with the corresponding data on the cover sheet. You don’t just want the data because then you have to redo the spreadsheet every time. Instead you want it to put a formula in place of each cell that will pull from the cover sheet. So you create a find and replace something like this.
findandreplace

In this particular example, I find and replace all cells with a “1” in them with =cover!C8 which pulls the data in the C8 cell (of the tab labeled “cover”) and puts it in place of each cell with a 1. The C8 cell, in this case, is the data corresponding to W1. Then repeat for each number. The 1-5 should correspond to W1-W5.

(Warning, you may need to rename the numbers first if one of the numbers in the formula you just created contains that particular number so you don’t end up changing it. Such as replacing the 1 with 11111, the 2 with 22222 and so on. This way if you have the formula as =cover!C10 and you find and replace the 1 it won’t change it to something like =cover!C=cover!C90. Also note that I had to highlight the cells I want to replace, otherwise it would have also replaced the ones next to it that are designated for P1-P5.)

Repeat for P1-P5 corresponding to the coversheet P1-P5.

setup1

Now we need to start with some sort of actual value and we will be able to see IF this scenario plays out what our portfolio will do. But that will be saved for another time. We also need to calculate the “probability” of that set of 5 trades in a row of occurring. With this information we will be able come up with things such as “probability of a return over X after 5 trades”. The idea is then to leverage that information to give us a probability of certain returns over 125 trades. I’m not yet sure what issues I will run into yet so one step at a time.

To get the probability of a particular individual event happening for each event, you simply multiply each of the cells dedicated towards probability or your “P1-P5” amounts together. Check your work by ensuring the sum of all these adds up to 100%.

probability

I am hoping that people by this point are starting to “get” what I am doing and trying to do a little more. It is sometimes a bit difficult understanding formatting, programming and mathematical concepts and then translating that to language and hoping the people reading actually get something out of it. I think it is a little easier to show you images like this. But I appreciate those who bear with me through this process.

Bet sizing and making sure your “system” AND bet size both work together to accomplish your goals and risk tolerance is of utmost importance.

At risk of sounding repetitive, in order to drill down what I am saying, I will continue to rephrase it…  one side of the equation is “what’s one possible “return” given a set of data (for all possible sets of returns over 5 trades)”. The other side of the equation is “what’s the probability of each return occurring given this set of data (over the course of 5 consecutive trades)”. Once you have that you will be able to “sum” up and “sort” the data so you can determine the probability of each given set of returns.

For example, after 5 returns you will sort the overall portfolio “outcome” which will ultimately be a portfolio SIZE or percentage gain on your overall “bankroll”. You then can sum up all the data ABOVE or equal to a certain outcome. You then SUM up the probability of each outcome to determine the probability that you achieve a certain pace of returns.

If your goal over 10 years is to reach a certain “retirement” number, and you place 12.5 trades per year on average, you simply need to solve the optimal bet size and system to maximize the probability that you get there in 10 years by looking at the data over 125 trades and adjusting things like the bet size or valuing entire systems by their probability of getting you to your goals. Or perhaps you just need to not have a 20% drawdown. Then you simply look at the probability of a 20% drawdown and MINIMIZE it. Or perhaps you want the BEST return that you can get with a less than 30% chance of ending down 20% after a year of trade, or without having a full year that ends 20% from the last anytime throughout the 10 years (125 trades).

The simulator will not create a system for you, but will give you comfort in knowing that if you can find reliable data, you can maximize chance of reaching retirement or minimize your chance of a 20% drawdown, or whatever your goals are.

But we are getting ahead of ourselves here since this is still under construction and you will have to continue reading this series to see how I build the spreadsheet to accomplish this task.

—————————————————————————————————————————————–

Before we jump into determining a “return” after 5 trades, the next thing that will be adjusted is “how much” to risk per trade. We will have to update the cover sheet to include things like “starting bankroll, fee per trade, % of capital allocated per trade. We will have to use that data to come up with a formula to come up with an “ending amount”, after the series of 5 trades, and have it calculated automatically for each row. But that will all be covered in the next post.

Comments »

Building A “Position System Simulator”

Okay, so lets get started in the quantifiable approach to position sizing. The intro sort of explained what I am trying to accomplish.

Part 1 WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Part 2 Building A “Position System Simulator

Part 3 Building Cover Sheet, Determining Probability of Results (Position Size Simulator Part 2)

Part 4 Adding To The Cover Sheet

Part 5: Setting Up The Calculations

The first step is to conceptualize how we are going to simulate a position size and what we are going to accomplish. I don’t want the typical “Monte Carlo simulation” where you have the data spit out a TON of series of trades using some sort of random number generator and determine the results based upon that randomness. I have found other people who have done that.

What I basically am looking for is a tool that will–given a set of basic expectations of the trade–determine the probability that at the given bet size that I will finish down 20% after 100 trades. I could just look at total draw-down perhaps within those 100 trades, but that may be a little more complex in determining all the possible combination of trades that draw down. We will see.

I may also want to know the probability that I draw-down 50%. I also will want to know the probability that I hit a certain “threshold” for gains as well such as 100% after 100 trades. The idea is I may want to find the bet size that maximizes my chances of reaching my “goal result” after 100 trades using a system (or 10 years at 100 trades per year or whatever) and by knowing the system, I can predict the time and also know the risks.

For some goal result could be what you need to walk away from trading. For others it could be the amount you need to reach to retire. For others, it might just mark a change in strategy to a more long term oriented approach or more passive index ETF based strategy. Or maybe it allows you to go buy that business franchise you wanted.

This to me is far more productive than “optimizing your overall maximum gain” which is insane. The Kelly Criterion, “optimal F” or other position sizing strategies often assume an infinite number of trades to weather the volatility storm. In reality those systems could give you a much worse chance of getting to where you want to be, and a far too high chance of having such a significant draw-down that it will take ages to even get back to even.

Some run a “Monte Carlo strategy” where it will simulate 50 trades or 500 trades with the click of a button, and then you can repeat that several times and each time you randomize, there is a different result. But I don’t like that because it doesn’t help me maximize anything, it just gives me a good idea of several possible results.

Instead I want to run all the permutations (possibilities) that a series of multiple trades can work out, and use the likelihood of each result and sum up the data that is beyond certain thresholds and determine an exact percentage chance of achieving that result.

Unfortunately, the number of cells available for computation on excel may make a large number of trades difficult. In the version of excel I use, there are 1,048,576 cell rows available. For just 10 trades involving 5 possible outcomes, you have 5^10=9,765,625 combinations of results. If we cut this to 4 possible outcomes we have exactly enough cells. 4^10=1,048,576

Determining probabilities and results after only 10 trades is not really all that valuable. Instead, I will have to have one spreadsheet give me the data for a group of say 5 trades, then use that data to group in chunks of 5 trades what can happen, and then 5 groups of 5 trades to produce 25 trades, and then 5 groups of 25 to produce 125 trades. This is good enough for me to give me the kind of picture I am looking for.

This way the formulas can give me data, I can quick determine new data, plug that in the next spreadsheet tab and then gather new data and input that into the final spreadsheet tab (or have it automatically pull to the next spreadsheet tab if set up right).

What I plan to do, is set aside a macros that will automatically list all permutations for say 5 trades that you could have a result by putting up a number 1 through 5 that corresponds to a certain result.

macros

As you can see the macros is running. It automatically spits out a number 1 through 5 and goes over all possible combinations of ways you can have a set of 5, 5 digit numbers. You can also see the formula that I set up in visual basics to run it. It was very difficult to get a screen shot of it midway through the process like this because it is very quick, but I did.

The next step is to copy and paste the data first directly next to the other data and THEN take that and copy and paste it into multiple sheets since there will be multiple groupings of 5 trades and the results of each of them. One of the sets of data is for the probability, the other is for the ROI given those sets of circumstances. You will see this done in a later post.

Then a find and replace function can be set up to replace each number with a formula that will pull from a “cover sheet” the data, as briefly mentioned  in the introduction.  [W1-W4, R1-R4, bet size]. I will then need to add another set of data that determines for each potential series of bets, a cash allocation percentage and what percentage into the system.

Eventually, my hope with the spreadsheet is that I can run the simulator for MULTIPLE trades at the same time at a given correlation run simultaneously. While I have constructed the spreadsheet/calculator that adjusts return for fees and multiple positions and given correlation based upon the “optimal bet percentage”, I have not yet figured out how I want to do this for the “simulator” yet.

Calculating multiple position sizes and determining the probability that both close down or up and by how much using only data such as correlation seems like a task that I am not quite sure how to do. Hopefully by talking my way through it I will come up with something as I develop this spreadsheet.

The next post I hope to accomplish a lot more and show you the developments of the spreadsheet. That’s all for today, class dismissed.

Comments »

WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Mullet

Part 1 WoodShedder Time! Creating A Quantifiable Approach To Position Sizing

Part 2 Building A “Position System Simulator”

Part 3 Building Cover Sheet, Determining Probability of Results (Position Size Simulator Part 2)

Part 4 Adding To The Cover Sheet

Part 5: Setting Up The Calculations

Since Woodshedder is semi-retiring from IBC, I decided it was a good time to kick off a more quantified approach in his honour(sic). While he quantifies the entire trading systems, I will be just setting up a spreadsheet that allows you to input either back tested quantifiable data, or looking at your history of results running a more discretionary system. The spreadsheet will then help you to determine position sizing.

There will be 2 spreadsheets, one is very close to complete, but requires some review to ensure I have not messed up a formula somewhere. This spreadsheet helps to determine “expectations” given a set of possible outcomes over a set amount of trades.

spreadsheet

I will explain all of this stuff someday and how I use it another time. Upon development of this spreadsheet, I have come to the conclusion that such leverage even at a fraction of this, is insanely reckless, and can produce hugely volatile swings in your bankroll that are entirely unnecessary. There is a very good chance that even over 50 trades that the system could mean losing a very large percentage of your bankroll. Since people don’t live forever they won’t be able to withstand “infinite” bets in a given system. I accounted for fees, the value of correlation and multiple bets, but it still isn’t enough for my taste.

Unfortunately, the first spreadsheet with all it’s formulas of modified kelly criterion / optimal F%, doesn’t give me enough data. Especially since I recently have learned what drastic draw-down such a strategy can produce and how if you happen to get that drastic draw-down it can take significantly longer to ever recover (perhaps longer than your lifetime), it can provide severe psychological risks (going on “tilt” as they call it in poker), and such volatility actually often makes fees do more harm betting more, than if you had just kept your bet small to begin with and not had such volatile swings in which the fees then become a more significant issue.

And so, I want to know the probability of ending up down after a certain number of trades, up 100%, down 20%, 50%, up 50% and things like this.

The goal is to construct a system simulator that takes a given system. The system will be defined with:

W1=ROI for result 1
W2=ROI for result 2
W3=ROI for result 3
W4=ROI for result 4
W5=ROI for result 5
P1=Probability of result 1
P2=Probability of result 2
P3=Probability of result 3
P4=Probability of result 4
P5=Probability of result 5

I have gone beyond this for my “optimal bet size” calculator. You can see 10 “results” but it can list up to 15 events (I hid a few rows in excel that aren’t visible in the jpeg). I could get more precise based upon a strategy such as a trailing stop that had several possible exits. I do not want to go beyond 5 results for the simulator.

So after 5 possible trades are listed, the “simulator” will be able to determine the set of data I want to know given the bet size listed, which can be modified until it gives me the set of data I am comfortable with, and give me a much better idea of what a given bet size will accomplish.

The next post is coming in a few minutes that will get into more details about building the simulator that I speak of that I will be building in front of you, screenshots and all.

 

Comments »

Trading High Tight Flag Watchlist

Continuing from the high tight flag volume pocket watchlist
Step 3) build a watchlist. Okay I didn’t do this yet, I just haven’t had the time to go through all of the names. I tried to remove those that are no longer relevent but may not have got them all.
I’ll slap a few more down but you can do the work on getting up the charts on these yourself. I’ll get you started on the first pair only.

llen,sol,vrml,cnit,
HTF watchlist5

Remaining:dang,tsl,alim,biod,acls,mtor,csun,invn,rmbs,ceco,gtxi(removed),eng(removed)
And last post I ended with this list
tan,fslr,zltq,zn,yrcw,hsol,stp,jaso,ift,jks,ggs,asti,plug,yge,esi,cytk

Notice all the solar names overall. Also notice that some of the names more so than others in order to get into volume pockets

Non Volume pocket ones to look at near 4 year highs (if not all time highs).
qcor,smrt,staa,acad,rh,evc,ostk,ppc,nxst,pcyg,aegr,regi,dwre,thrx,gtn,isis,cldx,qihu,wtsl,stmp,mcri,ades,rptp,lgnd,alny,prsc,tear,camp,wwww,irbt,mtsn,bont,tvl,dave,avg,sgbi

Then there are a few more
immu,sri,unis
and
vrml,mnkd,psdv,halo,p,bbx,vvtv,amd
(vnda)

There are some massive short squeeze plays that may or may not be a high tight flag: tsla,spwr,acad,thrx,scty,alny

Note that some of these volume profiles are much difference. Some would require a significant run before the volume pocket even is in play. For these you are really looking for a bullish situation, such as the whole sector and/or industry setting up nicely for the same type of bullish action with volume profile weak to the upside(like Solar). Or you are looking at the low chance of the very high upside to offset the lower probability (compared to the other setups) of the stock getting there. It’s all a mathematical trade off between probability and potential to both the upside (reward) and the downside (risk).

Step 4)Have a well thought out plan that has strong evidence of working. A 20% trailing stop on all of these works… More on this later perhaps.
I think that if you have the price reach around 50% you should remove the trailing stop and just sell most of the time unless it’s just hitting the volume pocket. If you have a stock clear it’s volume pocket I would also sell. The entry criteria could be done early based upon candlestick patterns and such, or bought at support, or a break above the consolidation region, or a break to relative highs. The strategy should be lined up and pretty straight forward.

Step 5)Set Alerts that notify you that the potential entry is lined up. Or, perhaps you take them all put them in finviz, check the charts every couple days, highlight the setups that are close to breakout, and watch those throughout the day and stalk the stocks until entry point.

Step 6)Consider buying options or stock depending on what works for you and what the premium is and everything else

Step 7) Position Size Correctly

Step 8)Test, tweak, etc. I like a baseline strategy but I have developed an ability to “call audibles”. The ability to call audibles basically requires an analytical and mathematical approach at the core, otherwise you will get in the way of yourself.

Calling an Audible:
1)Know your win rate. You may increase it slightly if you sell early because it’s more likely for a stock to go to 10% than to 40%, but do not overestimate your win rate.
2)Know your average loss using your stop loss or exit rules if the trade were to have turned out a different way.
3)Be able to calculate the minimum win rate OR W/L ratio to break even given your change of strategy. This is important because many people think “oh I’m up, I can sell” not factoring in that the trade won’t always be like this and overtime their actions to sell early may cost them. Consider both possible outcomes when determining if selling is acceptable or not.
4)Be able to know your annualized expectation if you don’t touch the system and let it work, and calculate the estimation of the result if you “call an audible”.
5)Determine if this chart is a “special example” and the odds are significantly different from the typical chart. Really, you probably should have considered whatever you are fearing BEFORE you took the trade. Once you are in it, you probably should let it run. Only if the math is relatively close to begin with, or in my favor for selling early, would I consider calling an audible.
6)The rest is the 10% to 20% that you can’t really easily put into words, but that you may develop over time with experience.

Comments »

High Tight Flag Volume Pocket Watchlist

There are various ways to define a “high tight flag”. Really, I am looking for the general concept, not defining it strictly by a specific percentage rise minimum and specific consolidation period timeframe maximum. The concept is you take those stocks that have moved big and consolidated and look to trade it before it hopefully resumes it’s upwards move. Basically if I had to put a number on it, I would look for perhaps an 80% move from the low in 3 months or so (rather than the 100%+ in 2 month requirement).

Step 1) run a screen.

I did this on finviz. I am looking for any name that has gone up 50% total in a quarter to narrow down the list. Sometimes I apply the criteria that I want all names to be “optionable” othertimes I’m not concerned. It depends on what I am looking for and how plentiful the opportunities are.

Step 2)Look for thinning volume profiles (pockets) above. You can look for those near it’s all time highs as well, but ever since Option Addict put me onto volume pockets I have been hooked.

Step 3)Create a watchlist from that list

I will give you some of the charts of the names I’ve been looking at, and then create another post rounding it off and covering the additional steps.

HTF watchlist

HTF watchlist2

htf watchlist3

HTF watchlist4

The names in order by group.
tan,fslr,zltq,zn
yrcw,hsol,stp,jaso
ift,jks,ggs,asti
plug,yge,esi,cytk

Comments »

‘Tis the seasonals

There are various themes that can put the “wind at your sail” so to speak.
There’s fundamentals suggesting a stock worth more than the price.
There’s technicals suggesting a good setup to manage risk and also an increased likelihood of a big directional move in your favor.
There’s the general business cycle timing and the sector rotation into specific areas that go with it.
Then there’s the broad view of the sector setting up with the fundamentals and technicals (in the right part of the cycle)
And then there are seasonals for the sector as well as the individual security.

Tech sector rotation
rotation2
Tech Seasonal

Not great, but offers a reasonable window for a nice swing into the July spike plus after the dip still swings up again into August offering a nice uptrend
ALTR seasonal
altr

Tech sector fundamentals
ALTR fundamentals

ALTR technicalsaltr1

altr2

The consolidation was all on lower volume, the pattern has tightened up considerably, the RSI made higher lows.You could wait for a breakout, but I prefer to anticipate the breakout and the seasonal is just one of those things that can help boost your edge.

 

I am long ALTR.

This is just as much an individual stock pick as well as it showcases how you might be able to increase your chances or maybe avoid a few names you would normally trade if there is “wind in your face”. You don’t want to “go against the grain” if you can help it. If perhaps it’s only moderately bullish or bearish in one of the areas like seasonals or technicals or fundamentals,etc but the rest of them line up fine then it should not be too much of a concern. But if the seasonal is telling you the market should decline sharply and the technicals can be interpreted more than one way, you may want to rethink it.

Seasonals are more used to help me keep on the lookout, and give me a better picture of if I want to ride the breakout for a larger trend, or just take my profits and plan the trade to just get a quick bounce.

You certainly can play them based upon the strongest month where the move is dramatic. Or you can look for a “low” or just a multi-month trend in your favor.

In this particular trade I may try to anticipate a breakout a few times and maybe trade the pullbacks a few times but as we approach mid-late August  I may begin to look elsewhere.

Aapl was an example of a strong seasonal play. I was watching Aapl looking to catch a bottom.

I really got “caught looking” on this one, but by now most of you are probably aware of the great upside potential in apple for a good trade to $500 mentioned by optionaddict.

If I was aware of this site charts.equityclock.com earlier, I may have seen that the bottom could have been near. I would see that it was offering a great upside trade according to the seasonals. I believed a price under $400 offered a reasonable entry, but felt the way the stock had been behaving that there wasn’t too much of a need to rush. I believe I may have had more of a sense of urgency as the seasonal suggested a dramatic move higher over the next 2 months. One could easily argue that the pattern is broken and it won’t see new highs and perhaps they’re right, but a seasonal rush in July-August and maybe September at least could potentially offer a great move to $500 before it goes lower or chops sideways.

You also may have had a chance to notice the pattern that was forming in WPRT and in determining if it will breakout or fail have seen the seasonal that mid June to mid-late July there is a monster run up seasonally.

That supports the likelihood of a breakout. You could have made a case that it should have happened in May-June. The weekly chart showed this stock coiled up tight for weeks similar to ALTR. However, it doesn’t automatically go up just because seasonals are strong. At times it may diverge, at other times, it will wait and then play catch up later. It merely provides supporting evidence to your perceived technical setup to allow you to be a bit more anticipatory and have a timeframe for the trade. Even though it didn’t go May-June, the trend lasts until Mid July, suggesting you may want to be willing to hang in for more time, or have sold early June and re entered on the June dip.

The volume pocket above, and/or technical setup, PLUS strong seasonals, PLUS a nearby spot to manage your risk is just one of those extra things that may be able to boost your win percentage and be enough to convince you to get long when you should often enough and keep you more patient when the seasonals go against you to get you slightly better timing. Just because a volume pocket exists doesn’t mean the stock enters it, it doesn’t mean it has a strong chance of entering it. Instead it means if it does, it offers tremendous upside potential to “fill” the volume pocket quickly.

I will have more on volume pockets in a bit going over various examples and show you what they looked at before and after they filled.

For now just consider adding seasonal charts to your arsenal. Here’s a quick view of sectors I compiled which is a great starting point for building a watchlist in the sector that sets up properly for a low or prior to a large move after a big sideways period of time.

rotation equityclock seasonal sectors1

You also may prefer to look at the charts based upon their expected “outperformance” vs the S&P instead.

rotation equityclock relative outperformance

Comments »