Sterling Terrell

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The Cotton Club Letter – For Week Ending 3/24/2016

The Cotton Club Letter – For Week Ending 3/24/2016

 

Price Picture

Chart Source: Barchart.com

Trend Picture

Chart Source: Barchart.com

Notes
Nearby contract closed 56 points higher this week.
Managed money is net short.
Short-term, technical traders see possible support around 56.00, possible resistance around 59.00.
The trend is down.

Price
May-16 is at:  57.72        Volume = 13,937
July-16 is at:  57.58         Volume = 7,193
Dec-16 is at:   56.35        Volume = 1,905
Cotlook ‘A’ Index is at: 66.30

Cash Sales
Most recently, on 958 bales traded, the trading platform TheSeam.com reported an average cash price of approximately: 48.40.
On May, that puts the average basis at approximately: -932 points.
Cash prices are averaging approximately 7.84 cents over loan value.

Stocks and Sales
ICE Certified Cotton Stocks = 49,067
US Net Upland Export Sales (2015/2016) = 84,400
Turkey was the big buyer at 24,100.

Current World Balance Sheet (2015/2016)
Beginning Stocks: 112.17 (million 480 lb. bales)
Production: 100.22
Supply: 212.39
Mill Use: 109.21
Ending Stocks: 103.34
Ending Stocks/Mill Use Ratio: 94.6%

Current China Balance Sheet (2015/2016)
Beginning Stocks: 67.92 (million 480 lb. bales)
Production: 23.80
Imports – Exports: 4.8
Supply: 96.52
Mill Use: 32.00
Ending Stocks: 64.52
Ending Stocks/Mill Use Ratio: 201.6%

Current India Balance Sheet (2015/2016)

Beginning Stocks: 13.49 (million 480 lb. bales)
Production: 26.80
Imports – Exports: -4.6
Supply: 35.69
Mill Use: 24.50
Ending Stocks: 11.19
Ending Stocks/Mill Use Ratio: 45.7%

Current USA Balance Sheet (2015/2016)
Beginning Stocks: 3.7 (million 480 lb. bales)
Production: 12.94
Imports – Exports: -9.49
Supply: 7.15
Mill Use: 3.60
Ending Stocks: 3.60
Ending Stocks/Mill Use Ratio: 100.0%

Commitments of Traders
Producer / Merchant
Long:  39,646  (Contracts)
Short: 66,594

Swap Dealers
Long: 65,388
Short:  6,298

Managed Money
Long:  43,149
Short: 56,195

Other Reportables
Long: 21,815
Short: 36,473

Cotton Club Letter Price Model: 55.7 cents
A regression model, like the one located here can give insight into how prices, on average, would react given a change in one or more fundamental supply or demand factors. A proper interpretation of this price model would be:

“Over the last number of years, if cotton supply and demand were at their current levels, we would – on average – expect the US price of cotton to be approximately: X cents.”

*Note* – This model does not attempt to forecast the future direction or level of cotton prices.

General View
Bearish.
Keep in mind that while this is a weekly letter, I can easily change my mind in 24 hours.

Click Here to Read: “10 Points on the ICE Cotton #2 Chart (CT) – Week Ending 3/24/2016“

====================

The Cotton Club Letter archive can be found by clicking, here.

If this email was forwarded to you and you’d like to sign up, email me at sterlingterrell[at]outlook[dot]com with “Cotton Club” in the subject line.
Email with “Stop Cotton” in the subject line to be removed.

*This is for informational purposes only, and not a recommendation to buy or sell.
There is substantial risk of loss to futures and options trading.
Past performance may not be indicative of future results.
One should carefully consider their financial suitability prior to trading futures or options.

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Filed Under: Not BooksTagged With: #TheCottonClubLetter

Birthday Paradox: Statistical Analysis

Birthday Paradox: Statistical Analysis

This statistics question is my favorite
.But the Birthday Paradox is up there too.

Probably because it is a bit counter-intuitive.

The Birthday Paradox goes like this:

“How many random people do you need in a group before you can be nearly certain two of them will share a birthday?”

The answer is (about) 50.

With any group of 50 random people, you can be 97% certain at least 2 people in that group will share a birthday.

The numbers obviously change as the size of the crowd changes.

For instance:

Crowd Size          Probability 2 Share a Birthday

     1                                  0%
     5                                 2.7%
     10                               11.7%
     20                              41.1%
     30                              70.6%
     40                              89.1%
     50                              97.0%
     60                              99.4%

     70                              99.9%

Isn’t that crazy?

You would think it would be more.

I mean 40 people get together and there is almost a 90% chance two of them were born on the same day?!

The reason has to do with the fact that it is not the chance of one person having the same birthday as one other person.  Rather, it is the chance any two have the same birthday.

So with a group of 50 people, there are 1,275 distinct chances of a birthday match.

(49 + 48 + 47 + … + 1 = 1,275)

Look at the Wikipedia page linked above for more information on the math.

You can even worry about the proof if you wish.

Math or not, you can still enjoy the trivia of it all.

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Filed Under: PotpourriTagged With: #Paradox, #Statistics

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