Doing A One-Eighty

Y = SIN( - ( Θ + 90° ))

X = COS( - ( Θ + 90° ))

Θ	Y	X
0°	-1.00	0.00
30°	-0.87	-0.50
60°	-0.50	-0.87
90°	0.00	-1.00
120°	0.50	-0.87
150°	0.87	-0.50
180°	1.00	0.00
210°	0.87	0.50
240°	0.50	0.87
270°	0.00	1.00
300°	-0.50	0.87
330°	-0.87	0.50
360°	-1.00	0.00

Magnetometer

How To Build A Magnetic Field Meter

Radio-Electronics Magazine

Scanning Kiosks

ScanFront 220/220P

Indus 5002C-TST

Scan & Go Express

BP Careerists' Inherited Lack Of Counter-Intelligence

Pessimists
Doubting Thomas's
Agency To Anticipate Malfunction
Troubleshooters
Negativity
False Sense Of Security
Antiestablishmentarianism
The Oppressed
Problem Solvers
Innovators
Checks And Balances
Opposition
Challengers
Competition
Resistance
Non Yes-Men
Non-Conformists
Under-Achievers
The Censored
Rebels
Revolters
Warners
Non-Complacents
Alarmists
Outsiders
Dispossessed
Have-Nots
Knock-It-Offs
Out-Sources

Misappropriated Accusals

Condoning The Geographically, Closest, Attentive Blamee Does Not Accurately Appoint Responsibility.
(i.e. See Children's Games Such As "Tag" Or "Pinning The Tail On The Donkey".)

Malibu Ceramics

Why Americans Turn To Bloggers For Their News

Television Cue Card Readers Are Sold To The American Public As Journalists.

2008 U.S. Ad Spending And Rank

Procter & Gamble Co.	1	$4,838.1 million
Verizon Communications	2	$3,700.0 million
AT&T	3	$3,073.0 million
General Motors Co.	4	$2,901.1 million
Johnson & Johnson	5	$2,529.2 million
Unilever	6	$2,422.6 million
Walt Disney Co.	7	$2,217.6 million
Time Warner	8	$2,207.7 million
General Electric Co.	9	$2,019.3 million
Sears Holdings Corp.	10	$1,864.9 million
Ford Motor Co.	11	$1,856.0 million
GlaxoSmithKline	12	$1,827.0 million
Toyota Motor Corp.	13	$1,690.4 million
L'Oreal	14	$1,673.1 million
Walmart Stores	15	$1,659.8 million
Bank of America Corp.	16	$1,650.0 million
Anheuser-Busch InBev	17	$1,587.3 million
Sprint Nextel Corp.	18	$1,500.0 million
Sony Corp.	19	$1,464.9 million
JPMorgan Chase & Co.	20	$1,356.8 million
News Corp.	21	$1,337.8 million
J.C. Penney Co.	22	$1,314.0 million
PepsiCo	23	$1,293.9 million
Pfizer	24	$1,292.4 million
Kraft Foods	25	$1,272.1 million
Honda Motor Co.	26	$1,254.6 million
Macy's	27	$1,239.0 million
Target Corp.	28	$1,233.0 million
McDonald's Corp.	29	$1,201.0 million
Nissan Motor Co.	30	$1,199.3 million
U.S. Government	31	$1,195.6 million
Berkshire Hathaway	32	$1,186.1 million
Viacom	33	$1,178.6 million
General Mills	34	$1,174.3 million
Nestle	35	$1,138.8 million
Chrysler Group	36	$1,129.6 million
American Express Co.	37	$1,056.8 million
Mars Inc.	38	$1,037.6 million
Home Depot	39	$1,000.0 million
Citigroup	40	$970.7 million
Yum Brands	41	$960.8 million
Deutsche Telekom	42	$940.3 million
SABMiller (MillerCoors)	43	$934.0 million
Bristol-Myers Squibb Co.	44	$906.2 million
Kohl's Corp.	45	$890.0 million
Eli Lilly & Co.	46	$847.1 million
Bayer	47	$840.2 million
Kellogg Co.	48	$820.3 million
Microsoft Corp.	49	$802.3 million
Nike	50	$790.4 million
Lowe's Cos.	51	$789.0 million
SC Johnson	52	$774.7 million
Schering-Plough Corp.	53	$770.1 million
Estee Lauder Cos.	54	$770.0 million
Coca-Cola Co.	55	$752.1 million
Reckitt Benckiser	56	$725.8 million
Campbell Soup Co.	57	$711.1 million
LVMH Moet Hennessy Louis Vuitton	58	$687.3 million
Clorox Co.	59	$686.3 million
Comcast Corp.	60	$669.8 million
Capital One Financial Corp.	61	$654.1 million
Merck & Co.	62	$617.7 million
Wyeth	63	$614.0 million
Best Buy Co.	64	$596.0 million
State Farm Mutual Auto Insurance Co.	65	$576.1 million
AstraZeneca	66	$576.0 million
Visa	67	$549.1 million
Dell	68	$538.2 million
Diageo	69	$536.6 million
Kroger Co.	70	$532.0 million
Allstate Corp.	71	$526.2 million
Wells Fargo & Co.	72	$525.0 million
Hyundai Motor Co.	73	$512.8 million
Limited Brands	74	$502.0 million
Novartis	75	$494.7 million
FMR Corp. (Fidelity Investments)	76	$483.8 million
Boehringer Ingelheim	77	$482.1 million
Abbott Laboratories	78	$470.9 million
Progressive Corp.	79	$470.4 million
Wendy's/Arby's Group	80	$453.4 million
IBM Corp.	81	$445.7 million
DirecTV Group	82	$442.0 million
MasterCard	83	$437.5 million
Doctor's Associates (Subway)	84	$432.0 million
eBay	85	$429.1 million
Sanofi-Aventis	86	$422.8 million
Safeway	87	$420.2 million
Hewlett-Packard Co.	88	$412.1 million
Qwest Communications International	89	$411.0 million
Volkswagen	90	$407.2 million
Circuit City Stores	91	$404.6 million
Mattel	92	$403.4 million
Daimler	93	$401.3 million
Coty (JAB Investments)	94	$394.7 million
Burger King Holdings	95	$387.8 million
Fortune Brands	96	$386.0 million
Colgate-Palmolive Co.	97	$384.3 million
Lions Gate Entertainment Corp.	98	$375.4 million
ConAgra Foods	99	$352.4 million
Philips Electronics	100	$351.5 million

Now Transparency Is Opaque!

Samsung's S-Series Digital Camcorders And Digital Living Network Alliance (DLNA) Is About To Surpass Sony's Failed ImageStationSM In Implementing Camcorder WiFi.

AllShare Is Samsung's Proprietary Technology That Enables Business Users To Boost Productivity With The Ability To Connect A TV To Devices Such As Laptops, Desktops, Digital Cameras, Mobile Phones And More.

The Next Step Is To Skip The Add-Ons And Get It On The Web, Da!

Plan To Charge Prisoners $5-A-Day Fee

In The "Real World" The Ones With The Largest Debt To Society Pay The Most And Get Treated The Best.

On Selling Out & Sucking Up

Death Threats From Paparazzi Don't Confront Me As Neither Does The All Mighty Dollar.

Setting The Precedent

Just As Oil Tankers Get Free Oil From The BP Oil Spill, Wall Street Has To Explain Why It Profited From The Meltdown.

Largest Environmental Catastrophe

The Person(s) Responsible For The BP Oil Spill Should Be Shackled With Leg Irons And Have To Chew Their Legs Off To Get Free, As Other Life Forms Will Subsequently Have To Do.
People Build Bomb Shelters Don't They?
This Funnel, Hood, Iron Box, Channeler, Collector, Oil Capture Device Thingamajig Is Just Way Too Late!

Nomenclature

Anything Defined With A Symbol Was Originally Intended To Be Given A Word Once Accepted As A Legitimate Concept. (i.e. The Word "Derivative" Has Been Borrowed From The Mathematics Community By The Finance Community, Out Of Context.)

Most Concepts Are Named After The Peron Who Invented Them. (i.e. The Basic Unit Of Energy Or Work Was Discovered By The Physicist James Prescott Joule, Thus The Word "Joule")

Any Other Half-Witted Explanation Would Only Render Mockery.

Mr. Hammer Probably Got A Lot Of Dysfunction Once He Discovered The Most Popular Tool Used By Carpenters.

Errrrrr, Wrong Answer!

Government Is Something That Takes Everybody's Pride And Says It's Doing A Good Job!

The Research Process:

Defining the Problem.
Research Design.
Data Collection.
Analysis.
Report Writing & presentation.

A brief discussion on these steps is:

Problem audit and problem definition - What is the problem? What are the various aspects of the problem? What information is needed?

Conceptualization and operationalization - How exactly do we define the concepts involved? How do we translate these concepts into observable and measurable behaviours?

Hypothesis specification - What claim(s) do we want to test?

Research design specification - What type of methodology to use? - examples: questionnaire, survey

Question specification - What questions to ask? In what order?

Scale specification - How will preferences be rated?

Sampling design specification - What is the total population? What sample size is necessary for this population? What sampling method to use?- examples: Probability Sampling:- (cluster sampling, stratified sampling, simple random sampling, multistage sampling, systematic sampling) & Nonprobability sampling:- (Convenience Sampling,Judgement Sampling, Purposive Sampling, Quota Sampling, Snowball Sampling, etc. )

Data collection - Use mail, telephone, internet, mall intercepts

Codification and re-specification - Make adjustments to the raw data so it is compatible with statistical techniques and with the objectives of the research - examples: assigning numbers, consistency checks, substitutions, deletions, weighting, dummy variables, scale transformations, scale standardization

Statistical analysis - Perform various descriptive and inferential techniques (see below) on the raw data. Make inferences from the sample to the whole population. Test the results for statistical significance.

Interpret and integrate findings - What do the results mean? What conclusions can be drawn? How do these findings relate to similar research?

Write the research report - Report usually has headings such as: 1) executive summary; 2) objectives; 3) methodology; 4) main findings; 5) detailed charts and diagrams. Present the report to the client in a 10 minute presentation. Be prepared for questions.

The design step may involve a pilot study to in order to discover any hidden issues. The codification and analysis steps are typically performed by computer, using software such as DAP or PSPP. The data collection steps, can in some instances be automated, but often require significant manpower to undertake. Interpretation is a skill mastered only by experience.

Trading Platforms

JStock
TradeStation
OpenQuant
NinjaTrader
Capital IQ
Commodity Systems, Inc.
Morningstar, Inc.

Downloading Stock Quote Yahoo Data

Here’s a neat way to download stock data from Yahoo:

[http://finance.yahoo.com/d/quotes.csv?s=],

[a BUNCH of STOCK SYMBOLS separated by “+”, such as XOM+BBDb.TO+JNJ+MSFT],

[&f=a bunch of special tags, such as below]

Try It

special tags

a	Ask	a2	Average Daily Volume	a5	Ask Size
b	Bid	b2	Ask (Real-time)	b3	Bid (Real-time)
b4	Book Value	b6	Bid Size	c	Change & Percent Change
c1	Change	c3	Commission	c6	Change (Real-time)
c8	After Hours Change (Real-time)	d	Dividend/Share	d1	Last Trade Date
d2	Trade Date	e	Earnings/Share	e1	Error Indication (returned for symbol changed / invalid)
e7	EPS Estimate Current Year	e8	EPS Estimate Next Year	e9	EPS Estimate Next Quarter
f6	Float Shares	g	Day’s Low	h	Day’s High
j	52-week Low	k	52-week High	g1	Holdings Gain Percent
g3	Annualized Gain	g4	Holdings Gain	g5	Holdings Gain Percent (Real-time)
g6	Holdings Gain (Real-time)	i	More Info	i5	Order Book (Real-time)
j1	Market Capitalization	j3	Market Cap (Real-time)	j4	EBITDA
j5	Change From 52-week Low	j6	Percent Change From 52-week Low	k1	Last Trade (Real-time) With Time
k2	Change Percent (Real-time)	k3	Last Trade Size	k4	Change From 52-week High
k5	Percebt Change From 52-week High	l	Last Trade (With Time)	l1	Last Trade (Price Only)
l2	High Limit	l3	Low Limit	m	Day’s Range
m2	Day’s Range (Real-time)	m3	50-day Moving Average	m4	200-day Moving Average
m5	Change From 200-day Moving Average	m6	Percent Change From 200-day Moving Average	m7	Change From 50-day Moving Average
m8	Percent Change From 50-day Moving Average	n	Name	n4	Notes
o	Open	p	Previous Close	p1	Price Paid
p2	Change in Percent	p5	Price/Sales	p6	Price/Book
q	Ex-Dividend Date	r	P/E Ratio	r1	Dividend Pay Date
r2	P/E Ratio (Real-time)	r5	PEG Ratio	r6	Price/EPS Estimate Current Year
r7	Price/EPS Estimate Next Year	s	Symbol	s1	Shares Owned
s7	Short Ratio	t1	Last Trade Time	t6	Trade Links
t7	Ticker Trend	t8	1 yr Target Price	v	Volume
v1	Holdings Value	v7	Holdings Value (Real-time)	w	52-week Range
w1	Day’s Value Change	w4	Day’s Value Change (Real-time)	x	Stock Exchange
y	Dividend Yield

NO?!?

Fix The Problem By Addressing The Problem!
BeCause.

α	ALPHA: population linear projection ceofficient - probability of a Type I error
β	BETA: population regression coefficient - in the CAPM, the correlation between the expected return of a stock or portfolio and the return of the market as a whole - probability of a Type II error
γ	GAMMA: autocovariance matrix for vector process - autocovariance for scalar process - the rate of change in the delta
δ	DELTA: change in value of variable - coefficient on time trend - the sensitivity to changes in the price of the underlying asset
ε	EPSILON: a white noise variable
ζ	ZETA: constant term in ARCH specification
η	ETA: AR (∞) coefficient
θ	THETA: matrix of MA coefficient - scalar MA (q) coefficient - sensitivity to the passage of time
κ	KAPPA: kernel
λ	LAMBDA: matrix of eigenvalues - Lagrange multiplier - the percentage change in option value per change in the underlying price
μ	MU: population mean
ν	NU: degrees of freedom
ξ	XI: matrix of derivatives
π	PI: product - the number 3.14159...
ρ	RHO: autocorrelation - autoregressive coefficient - sensitivity to the applicable interest rate
σ	SIGMA: summation - long-run variance-covariance matrix - population standard deviation
τ	TAU: time index
υ	UPSILON: scaling matrix to calculate asymptotic distributions
φ	PHI: matrix of autoregressive coefficients - scalar autoregressive coefficient
χ	CHI: a variable with a chi-square distribution
ψ	PSI: matrix of MA coefficient for vector MA (∞) process - moving average coefficient for scalar MA (∞) process
ω	OMEGA: variance-covariance matrix - frequency

Efficient-Market Hypothesis

"The Behavior Of Stock-Market Prices" By Eugene F. Fama

Copula

Here's what killed your 401(k)   David X. Li's Gaussian copula function as first published in 2000. Investors exploited it as a quick—and fatally flawed—way to assess risk. A shorter version appears on this month's cover of Wired.
Probability Specifically, this is a joint default probability—the likelihood that any two members of the pool (A and B) will both default. It's what investors are looking for, and the rest of the formula provides the answer.	Survival times The amount of time between now and when A and B can be expected to default. Li took the idea from a concept in actuarial science that charts what happens to someone's life expectancy when their spouse dies.	Equality A dangerously precise concept, since it leaves no room for error. Clean equations help both quants and their managers forget that the real world contains a surprising amount of uncertainty, fuzziness, and precariousness.
Copula This couples (hence the Latinate term copula) the individual probabilities associated with A and B to come up with a single number. Errors here massively increase the risk of the whole equation blowing up.	Distribution functions The probabilities of how long A and B are likely to survive. Since these are not certainties, they can be dangerous: Small miscalculations may leave you facing much more risk than the formula indicates.	Gamma The all-powerful correlation parameter, which reduces correlation to a single constant—something that should be highly improbable, if not impossible. This is the magic number that made Li's copula function irresistible.