Monday, October 18, 2010

Bankers Pet : BNK: Time To Buy- Yes Before The Next Breakout

Anonymous playing games 100 share programmed trades back to itself
Pure manipulation.

Recent Trades - Last 10 of 2155
Time ET Ex Price Change Volume Buyer Seller Markers
12:29:14 T 6.60 -0.11 100 1 Anonymous 1 Anonymous K
12:29:11 T 6.60 -0.11 30 2 RBC 52 NCP E
12:25:29 T 6.60 -0.11 100 1 Anonymous 1 Anonymous K
12:25:29 T 6.60 -0.11 100 1 Anonymous 52 NCP K
12:23:27 T 6.60 -0.11 200 79 CIBC 1 Anonymous K
12:23:27 T 6.60 -0.11 100 79 CIBC 1 Anonymous K
12:23:27 T 6.60 -0.11 100 79 CIBC 52 NCP K
12:21:54 T 6.60 -0.11 100 1 Anonymous 1 Anonymous K
12:21:25 T 6.60 -0.11 600 9 BMO Nesbitt 1 Anonymous K
12:21:25 T 6.60 -0.11 400 9 BMO Nesbitt 52 NCP K

Broker Positions for C:BNK Broker GMP #74 from 20101018 to 20101018
Date Bought $Val Ave Sold $Val Ave Net Position $Net $Position
20101018 2,075,000 13,490,000 6.501 2,125,600 13,820,412 6.502 -50,600 -50,600 330,412 330,412
TOTAL 2,075,000 13,490,000 6.501 2,125,600 13,820,412 6.502 -50,600 330,412


Technicals Show 11:45 BNK-T Bounces Off The Bottom Bollinger Line
As Buyers Start Accumulating

Bollinger bandsBuy when the Price penetrates and closes above the upper band
Sell when the Price penetrates and closes below the bottom band
Buy when the Price crosses above the center MA line
Sell when the Price crosses below the center MA line

Anonymous Triggering Stop Losses To Accumulate Prior To Next News Release

Buy Low To Sell Higher Later





House Positions for C:BNK from 20101018 to 20101018
House Bought $Val Ave Sold $Val Ave Net $Net
89 Raymond James 443,100 2,912,233 6.572 177,200 1,165,517 6.577 265,900 -1,746,716
80 National Bank 474,900 3,146,115 6.625 227,000 1,502,428 6.619 247,900 -1,643,687
7 TD Sec 503,012 3,297,167 6.555 276,245 1,817,324 6.579 226,767 -1,479,843
79 CIBC 479,499 3,155,274 6.58 277,935 1,827,783 6.576 201,564 -1,327,491
14 ITG 122,800 808,906 6.587 14,250 95,348 6.691 108,550 -713,558
2 RBC 145,432 956,308 6.576 59,877 393,810 6.577 85,555 -562,498
9 BMO Nesbitt 111,614 732,456 6.562 27,454 180,883 6.589 84,160 -551,573
33 Canaccord 152,480 999,879 6.557 77,658 507,531 6.535 74,822 -492,348
82 Stifel 61,700 408,254 6.617 5,000 33,000 6.60 56,700 -375,254
85 Scotia 80,505 529,804 6.581 26,293 173,050 6.582 54,212 -356,754
99 Jitney 84,600 555,652 6.568 32,200 210,720 6.544 52,400 -344,932
95 Wolverton 43,400 285,196 6.571 0 43,400 -285,196
11 MacQuarie 41,300 269,907 6.535 0 41,300 -269,907
39 Merrill Lynch 28,000 184,075 6.574 2,100 13,713 6.53 25,900 -170,362
111 Fraser Mackenzie 21,800 142,572 6.54 0 21,800 -142,572
124 Questrade 17,175 112,754 6.565 5,200 33,991 6.537 11,975 -78,763
58 Qtrade 10,200 67,742 6.641 0 10,200 -67,742
19 Desjardins 9,240 60,650 6.564 2,225 14,684 6.60 7,015 -45,966
81 HSBC 4,930 32,178 6.527 0 4,930 -32,178
13 Instinet 4,100 27,184 6.63 0 4,100 -27,184
5 Penson 69,000 455,037 6.595 65,400 430,734 6.586 3,600 -24,303
52 NCP 53,334 350,170 6.566 50,773 334,477 6.588 2,561 -15,693
37 MacDougall 2,000 13,200 6.60 0 2,000 -13,200
22 Fidelity 1,500 9,855 6.57 0 1,500 -9,855
123 Citigroup 1,200 7,904 6.587 0 1,200 -7,904
69 Jordan 1,000 6,500 6.50 0 1,000 -6,500
15 UBS 400 2,644 6.61 0 400 -2,644
101 Newedge 9,400 62,006 6.596 9,200 60,903 6.62 200 -1,103
56 Edward Jones 0 335 2,197 6.558 -335 2,197
65 Goldman 400 2,643 6.608 1,600 10,452 6.533 -1,200 7,809
72 Credit Suisse 132 884 6.697 6,742 44,477 6.597 -6,610 43,593
46 Macquarie 3,404 22,450 6.595 11,200 73,615 6.573 -7,796 51,165
12 Wellington 128,100 844,959 6.596 146,000 962,572 6.593 -17,900 117,613
74 GMP 3,137,700 20,504,983 6.535 3,179,270 20,775,707 6.535 -41,570 270,724
1 Anonymous 432,500 2,846,684 6.582 1,998,700 13,149,309 6.579 -1,566,200 10,302,625
TOTAL 6,679,857 43,814,225 6.559 6,679,857 43,814,225 6.559 0 0

BNK.TO - Bankers Pete Ltd (TSX)

DateOpenHighLowLastChangeVolume% Change
10/13/106.95007.13006.95007.0000+0.05002445520+0.72%


5-Year Indicator and Overall Opinion Performance Summary

IndicatorTotal Number
of Trades
Average Days
per Trade
Total Profit
from Trades
Trend Spotter (TM)37 Trades41 Days/Trade383.0000
7 Day Average Directional Indicator137 Trades13 Days/Trade767.0001
10 - 8 Day Moving Average Hilo Channel198 Trades6 Days/Trade767.0001
20 Day Moving Average vs Price122 Trades15 Days/Trade1057.0000
20 - 50 Day MACD Oscillator32 Trades56 Days/Trade620.0000
20 Day Bollinger Bands100 Trades3 Days/Trade122.5000
40 Day Commodity Channel Index74 Trades10 Days/Trade528.5000
50 Day Moving Average vs Price85 Trades21 Days/Trade641.0000
20 - 100 Day MACD Oscillator10 Trades170 Days/Trade954.0001
50 Day Parabolic Time/Price94 Trades19 Days/Trade10.0000
60 Day Commodity Channel Index64 Trades12 Days/Trade522.0000
100 Day Moving Average vs Price35 Trades49 Days/Trade988.0001
50 - 100 Day MACD Oscillator8 Trades213 Days/Trade608.0000


Average Number
of Trades
Average Days
per Trade
Average Profit
per Signal
Overall Performance Summary77 Trades19 Days/Trade612.9230



. Directional Mmt Index (ADX) Buy when ADX crosses up through 25
Sell when ADX crosses down through 20
ADX Chart and Screener Examples
Bollinger bandsBuy when the Price penetrates and closes above the upper band
Sell when the Price penetrates and closes below the bottom band
Buy when the Price crosses above the center MA line
Sell when the Price crosses below the center MA line
Bollinger Bands Chart and Screener Examples
Commodity channel index (CCI) Buy when CCI has crossed below -100, formed a bottom below -110, and then crossed back up through -100.
Sell when CCI has crossed above +100, formed a peak above +110, and then crossed back down through +100.
CCI Chart and Screener Examples
Demand Index (DI) Buy when DI crosses up through Zero line.
Sell when DI crosses down through Zero line
Demand Chart and Screener Examples
Directional movement index (DMI) Buy when +DI crosses up through -DI
Sell when +DI crosses down through -DI
DMI Chart and Screener Examples
Fast StochasticsBuy when Stochastic has crossed up through 20%.
Sell when Stochastic has crossed down through 80%.
Buy when the %K line crosses above the %D line.
Sell when the %K line crosses below the %D line.
Fast Stochastics Charts and Screener Examples
Stochastics (Full)Buy when Stochastic has crossed up through 20%.
Sell when Stochastic has crossed down through 80%.
Buy when the %K line crosses above the %D line
Sell when the %K line crosses below the %D line.
Full Stochastic Chart and Screener Examples
Jefferson

Buy when open and close rise in the same direction.
Sell when the open and close fall in the same direction

Jefferson Chart and Screener Example
KST –Summed ROC (Pring)Buy when KST crosses up through signal line MA
Sell when KST crosses down through signal line MA
KST - Summed ROC (Pring) Chart and Screener Example
Keltner Channels Buy when the Price penetrates and closes above the upper channel
Sell when the Price penetrates and closes below the bottom channel
Buy when the Price crosses above the center line
Sell when the Price crosses below the center line
Keltner Channel Chart and Screener Examples
Moving averages (MA, EMA)

Simple Moving Averages

Buy
when 5 day SMA crosses up through price line
Sell when 5 day SMA crosses down through price line
Buy
when 20 day SMA crosses up through price line
Sell when 20 day SMA crosses down through price line
Buy when 50 day SMA crosses up through price line
Sell when 50 day SMA crosses down through price line
Buy when 100 day SMA crosses up through price line
Sell when 100 day SMA crosses down through price line
Buy when 200 day SMA crosses up through price line
Sell when 200 day SMA crosses down through price line

Exponential Moving Average

Buy
when 5 day EMA crosses up through price line
Sell when 5 day EMA crosses down through price line
Buy
when 20 day EMA crosses up through price
line
Sell when 20 day EMA crosses down through price line
Buy when 50 day EMA crosses up through price
line
Sell when 50 day EMA crosses down through price line
Buy when 100 day EMA crosses up through price line
Sell when 100 day EMA crosses down through price line
Buy when 200 day EMA crosses up through price line
Sell when 200 day EMA crosses down through price line

Moving Average Crosses

Buy when 4 day EMA crosses up through the 9 day EMA
Sell when 4 day EMA crosses down through the 9 day EMA
Buy when 4 day EMA crosses up through the 18 day EMA
Sell when 4 day EMA crosses down through the 18 day EMA
Buy when 5 day EMA crosses up through the 13 day EMA
Sell when 5 day EMA crosses down through the 13 day EMA
Buy
when 5 day EMA crosses up through the 20 day EMA
Sell when 5 day EMA crosses down through the 20 day EMA

Buy when 50 day EMA crosses up through the 200 day EMA
Sell when 50 day EMA crosses down through the 200 day EMA

Triple Moving Average Cross

Buy when 4 day EMA crosses up through the 9 day EMA and then the 18 day EMA
Sell when 4 day EMA crosses down through the 9 day EMA and then the 18 day EMA

Moving Average Chart and Screener Examples
MACD Oscillator
MACD Histogram
Buy when MACD crosses up through Signal line
Sell when MACD crosses down through Signal line
Buy when MACD crosses up through Zero line
Sell when MACD crosses down through Zero line
MACD Chart and Screener Examples
MACD MomentumBuy when MACD-momentum crosses up through Zero line
Sell when MACD-momentum crosses down through Zero line
MACD Momentum Chart and Screener Examples
MomentumBuy when Momentum crosses up through Zero line.
Sell when Momentum crosses down through Zero line.
Momentum Chart and Screener Examples
Money Flow Index (MFI)Buy when MFI crosses below 20
Sell when MFI crosses above 80
Money Flow Chart and Screener Examples
Parabolic indicator (SAR) Buy when SAR switches from above Price to below
Sell when SAR switches from below Price to above
Parabolic SAR Chart and Screener Examples

Price channel (Donchian’s)

Donchian's 4 week rule

Buy when the Price penetrates and closes above the upper channel line
Sell when the Price penetrates and closes below the bottom channel line
Price Channel Chart and Screener Examples
Rate of change (ROC)Buy when ROC crosses up through Zero line
Sell when ROC crosses down through Zero line
ROC Chart and Screener Examples
Relative strength index (RSI) Buy when RSI has crossed below 30, formed a bottom, and then crossed back up through 30.
Sell when RSI has crossed above 70, formed a peak, and then crossed back down through 70.
RSI Chart and Screener Examples
Ultimate OscillatorBuy when Oscillator falls below 30 and then crosses back up through 50
Sell when Oscillator rises above 70 and then crosses back down through 50
Ultimate Oscillator Chart and Screener Examples
Williams’ %R (inverted scale) (W%R)Buy when %R hits 90% (and the trend is up)
Sell when %R hits 10% (and the trend is down)
Williams %R Chart and Screener Examples
Calculated Ratio's

To calculate the following ratio's, a simple moving average or by a simple divistion. In the case of volume and price ratio's, the last point in the simple moving average is then stored as the average price over (5,20,50,100) days. The current close is then used for comparing against this average. If a trader is looking for stocks that are trading 50% higher than their (5,20,50,100) day average. The ratio would 1.5. For stocks over 100% of their averages, use the ratio 2.

Other ratio's in this section use last reported (year 1) divided by year (2,3,4). For example a ratio of 1.5 means that the last reported is 50% larger (or 150% of) year (2/3/4).

Technical Report
Supported Signals
Sample
Dividend RatioDividend Ratio - 2 year (year 1 reported/year 2 reported)
Dividend Ratio - 3 year (year 1 reported/year 3 reported)
Dividend Ratio - 4 year (year 1 reported/year 4 reported)
Earnings per Share RatioEPS Ratio - 2 year (year 1 reported/year 2 reported)
EPS Ratio - 3 year (year 1 reported/year 3 reported)
EPS Ratio - 4 year (year 1 reported/year 4 reported)
Equity per Share RatioEQS Ratio - 2 year (year 1 reported/year 2 reported)
EQS Ratio - 3 year (year 1 reported/year 3 reported)
EQS Ratio - 4 year (year 1 reported/year 4 reported)
Overview of Equity per Share Ratio & examples
Net Income RatioNet Income Ratio - 2 year (year 1 reported/year 2 reported)
Net Income Ratio - 3 year (year 1 reported/year 3 reported)
Net Income Ratio - 4 year (year 1 reported/year 4 reported)
Overview of Net Income Ratio & examples
P/E RatioPrice / last reported eps.Overview of Price/earnings Ratio & example
Price Ratio'sClose / 5 day average price
Close / 20 day average price
Close / 50 day average price
Close / 100 day average price
Overview of Average Price Ratio & examples
Revenue RatioRevenue Ratio - 2 year (year 1 reported/year 2 reported)
Revenue Ratio - 3 year (year 1 reported/year 3 reported)
Revenue Ratio - 4 year (year 1 reported/year 4 reported)
Volume Ratio'sClose Volume / 5 day average price
Close Volume / 20 day average price
Close Volume / 50 day average price
Close Volume / 100 day average price
Overview of Average Volume Ratio & exa

Thursday, October 14, 2010

QE2: Who's the currency manipulator now? Brian Milner

Today, the markets witnessed one for the history books, a rare triple parity event for freely floated currencies, featuring the Aussie, Canadian and U.S. dollars.

It was bound to happen sooner or later. Both the Australian and Canadian currencies have been underpinned by a surge in commodity prices. And although the loonie has actually weakened against the euro and other major currencies lately, its climb against the U.S. dollar is sure to continue.

The Swiss franc, another safe-haven currency, also rose to a record level against the greenback, and the Singapore dollar moved up as well, after the government paved the way.

This is a trend that will continue, not only because of worries about the soaring U.S. budget deficit and its stumbling economy but because U.S. policy-setters want it that way.

It’s plain that the monetary brain trust has concluded the only way to restore some semblance of growth and put some badly needed inflation back into the economy is a substantially weaker currency.

Below zero real interest rates haven’t done the trick; but expectations that the Fed will flood the market with dollars through an aggressive bout of quantitative easing are definitely driving the safe-haven bond fans out of the greenback.

It’s no coincidence that the U.S. dollar has been falling ever since the Fed outlined its easier-money plans back in September. But if the decline continues to be as pronounced in the months ahead, look for other governments to start pushing for some sort of co-ordinated intervention to “stabilize” the currency.

In the meantime, won’t it be awfully hypocritical for American officials to label the Chinese as currency manipulators? They are, but they’re not alone.

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