StockFetcher Forums · Filter Exchange · \"HIGH PROBABILITY ETF TRADING\" BY LARRY CONNORS - GET YOUR FILTERS HERE!<< 1 2 3 4 5 ... 8 >>Post Follow-up
Kevin_in_GA
4,548 posts
msg #93830
Ignore Kevin_in_GA
modified
6/14/2010 1:42:44 PM

I recently finished reading "High Probability ETF Trading" by Larry Connors. My general assessment is that there is real value to reading this for anyone who is looking for simple, effective, and profitable short-term trading systems. He presents 6 basic trading systems (actually 12, in that these can be traded both long and short) that are backtested against a set of 20 well-established and highly liquid ETFs. He provides examples of each type of trade and shows the success rates for both regular and "aggressive" trading strategies - here aggressive means doubling down on your bet if the trade moves against you and a second buy signal is generated.

I thought it would be helpful to others here if I spent a little time reducing these systems to a set of tradable filters. In the next few posts I will spend time on each of the six systems Connors' uses in the book, providing filters for each system, and include Connors' backtest data (as well as my own for each filter going back to 1/1/2007).

Note that in comparing these sets of results, Stockfetcher does not do its backtesting the same way as Connors does - he uses "buy/sell at the close of the day the signal is triggered" while SF uses "buy/sell on the open of the day following the signal being triggered."

This actually helps us, in that the two methods of calculation provide for different exits and therefore will be reflective of just how robust the trading method is - if both methods work about the same, then I see it as saying that a good trade was entered and was profitable enough to exit at several different points that meet the trader's needs as well.

As always, comments and critique are encouraged.

Kevin

brank20
41 posts
msg #93831
Ignore brank20
6/14/2010 1:54:52 PM

While stock fetcher uses the open of the following day by default, it can be changed. Simply change the "open" to "close 1 day ago".

Kevin_in_GA
4,548 posts
msg #93832
Ignore Kevin_in_GA
modified
6/14/2010 2:00:35 PM

CONNORS FILTER #1: 3 DAY HIGH/LOW METHOD

The 3 day high/low filter looks for ETFs that have made lower highs and lower lows for three consecutive days.

Long Trade Rules:

1. ETF is above MA(200)
2. ETF is below MA(5)
3. ETF has made three consecutive lower lows
4. ETF has made three consecutive lower highs

BUY on the close of the day these criteria are met.
SELL on the close of the day the ETF closes above its MA(5).


Fetcher[


SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
CLOSE BELOW MA(5)

/*SCREEN FOR THREE CONSECUTIVE DAYS OF LOWER LOWS*/
LOW 3 DAYS AGO ABOVE LOW 2 DAYS AGO
LOW 2 DAYS AGO ABOVE LOW 1 DAY AGO
LOW 1 DAY AGO ABOVE LOW

/*SCREEN FOR THREE CONSECUTIVE DAYS OF LOWER HIGHS*/
HIGH 3 DAYS AGO ABOVE HIGH 2 DAYS AGO
HIGH 2 DAYS AGO ABOVE HIGH 1 DAY AGO
HIGH 1 DAY AGO ABOVE HIGH

/*EXIT WHEN ETF CLOSES ABOVE ITS MA(5)*/

]



Connors' backtest results (709 trades from inception of the ETF through 12/31/08) show a win percentage of 76.9%, an average gain of 0.66% per trade, and an average holding time of 3.3 days.

My backtesting data (258 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 67.5%, an average gain of only 0.50% per trade, and the same average holding time of 3.3 days.


Short Trade Rules:

1. ETF is below MA(200)
2. ETF is above MA(5)
3. ETF has made three consecutive higher lows
4. ETF has made three consecutive higher highs

SHORT on the close of the day these criteria are met.
COVER on the close of the day the ETF closes below its MA(5).


Fetcher[


SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE BELOW MA(200)
CLOSE ABOVE MA(5)

/*SCREEN FOR THREE CONSECUTIVE DAYS OF HIGHER LOWS*/
LOW 3 DAYS AGO BELOW LOW 2 DAYS AGO
LOW 2 DAYS AGO BELOW LOW 1 DAY AGO
LOW 1 DAY AGO BELOW LOW

/*SCREEN FOR THREE CONSECUTIVE DAYS OF HIGHER HIGHS*/
HIGH 3 DAYS AGO BELOW HIGH 2 DAYS AGO
HIGH 2 DAYS AGO BELOW HIGH 1 DAY AGO
HIGH 1 DAY AGO BELOW HIGH

/*EXIT WHEN THE CLOSE IS BELOW MA(5)*/

]



Connors' backtest results (400 trades from inception of the ETF through 12/31/08) show a win percentage of 71.5%, an average gain of 0.88% per trade, and an average holding time of 3.6 days.

My backtesting data (184 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 68.5%, a higher average gain of 1.26% per trade, and an average holding time of 3.25 days.

COMMENTS: The short version of this filter seems to be the better play, but both filters work well and can be traded profitably.



Kevin_in_GA
4,548 posts
msg #93835
Ignore Kevin_in_GA
6/14/2010 2:09:29 PM

CONNORS FILTER #2: RSI(4) METHOD

The RSI(4) filter looks for ETFs that have closed below 25 (for longs) or above 75 (for shorts).

Long Trade Rules:

1. ETF is above MA(200)
2. RSI(4) below 25 at the close

BUY on the close of the day these criteria are met.
SELL on the close of the day the RSI(4) closes back above 55.


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
RSI(4) BELOW 25

/*EXIT WHEN THE RSI(4) CLOSES ABOVE 55*/

]



Connors' backtest results (786 trades from inception of the ETF through 12/31/08) show a win percentage of 76.7%, an average gain of 1.06% per trade, and an average holding time of 6.2 days.

My backtesting data (321 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 78.5%, ahigher average gain of 1.28% per trade, and a slightly shorter average holding time of 5.7 days.

Same comments regarding when the trade was closed - looks slightly better to hold until the open, but remember that these are not the same set of trades (different set of trades over a different timeframe).


Short Trade Rules:

1. ETF is below MA(200)
2. RSI(4) is above 75

SHORT on the close of the day these criteria are met.
COVER on the close of the day the RSI(4) close back below 45.


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE below MA(200)
RSI(4) above 75
/*EXIT WHEN THE RSI(4) CLOSES BELOW 45*/

]



Connors' backtest results (383 trades from inception of the ETF through 12/31/08) show a win percentage of 68.1%, an average gain of 1.26% per trade, and an average holding time of 7.4 days.

My backtesting data (193 trades from 12/31/2006 until today from the same set of ETFs) show a higher win percentage of 74.1%, a higher average gain of 1.87% per trade, and a shorter average holding time of 6.3 days.

COMMENTS: Both sides of this filter trade profitably. The more recent backtesting data actually shows a meaningful improvement over Connors’ historical backtests.


Kevin_in_GA
4,548 posts
msg #93836
Ignore Kevin_in_GA
6/14/2010 2:09:57 PM

CONNORS FILTER #3: R3 METHOD

The R3 filter looks for ETFs where the RSI(2) has dropped/risen for three days in a row, and is under 10/above 90.

Long Trade Rules:

1. ETF is above MA(200)
2. RSI(2) decreasing for 3 days
3. RSI(2) below 60 3 days ago
4. RSI(2) below 10 at the close

BUY on the close of the day these criteria are met.
SELL on the close of the day the RSI(2) closes back above 70.


Fetcher[


SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
RSI(2) DECREASING FOR 3 DAYS
RSI(2) 3 DAYS AGO BELOW 60
RSI(2) BELOW 10

/*EXIT WHEN RSI(2) CLOSES ABOVE 70*/

]



Connors' backtest results (700 trades from inception of the ETF through 12/31/08) show a win percentage of 75.9%, an average gain of 0.92% per trade, and an average holding time of 5.0 days.

My backtesting data (177 trades from 12/31/2006 until today from the same set of ETFs) show a similar win percentage of 75.1%, a higher average gain of 1.34% per trade, and a shorter average holding time of 4.3 days.

Also looks slightly better to hold until the open of the next day, but remember that these are not the same set of trades (different set of trades over a different timeframe).


Short Trade Rules:

1. ETF is below MA(200)
2. RSI(2) increasing for 3 days
3. RSI(2) above 40 3 days ago
4. RSI(2) above 90 at close

SHORT on the close of the day these criteria are met.
COVER on the close of the day the RSI(2) close back below 30.


Fetcher[


SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE BELOW MA(200)
RSI(2) INCREASING FOR 3 DAYS
RSI(2) 3 DAYS AGO ABOVE 40
RSI(2) ABOVE 90

/*EXIT WHEN RSI(2) CLOSES BELOW 30*/

]



Connors' backtest results (383 trades from inception of the ETF through 12/31/08) show a win percentage of 70.4%, an average gain of 1.15% per trade, and an average holding time of 5.2 days.

My backtesting data (145 trades from 12/31/2006 until today from the same set of ETFs) show a slightly higher win percentage of 71.7%, a higher average gain of 1.48% per trade, and a shorter average holding time of 4.2 days.

COMMENTS: Both sides of this filter trade profitably. The more recent backtesting data confirms Connors' earlier data, and in fact is slightly better on both sides of the trade.



Kevin_in_GA
4,548 posts
msg #93837
Ignore Kevin_in_GA
6/14/2010 2:10:30 PM



CONNORS FILTER #4: THE %B METHOD

The %B filter looks for ETFs where the Bollinger %B(20,2) has been below 0.2/above 0.8 for 3 consecutive days.

Long Trade Rules:

1. ETF is above MA(200)
2. Bollinger %B(20,2) below 0.2 for the past three days

BUY on the close of the day these criteria are met.
SELL on the close of the day the %B closes back above 0.8.


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
BOLLINGER %B(20,2) 2 DAYS AGO BELOW 0.2
BOLLINGER %B(20,2) 1 DAY AGO BELOW 0.2
BOLLINGER %B(20,2) BELOW 0.2

/*EXIT WHEN BOLLINGER %B CLOSES ABOVE 0.8*/

]



Connors' backtest results (1,014 trades from inception of the ETF through 12/31/08) show a win percentage of 76.5%, an average gain of 0.70% per trade, and an average holding time of 4.2 days.

My backtesting data (on only 138 trades from 12/31/2006 until today from the same set of ETFs) show a higher win percentage of 79.0%, a much higher average gain of 2.65% per trade, but also a much longer holding time of 16.6 days.

NOTE: On this filter, every trade since 4/16/2010 has been negative. Prior to that point, the numbers were pretty impressive - and 87% win rate with an average gain of 3.58%.


Short Trade Rules:

1. ETF is below MA(200)
2. Bollinger %B(20,2) above 0.8 for the past three days

SHORT on the close of the day these criteria are met.
COVER on the close of the day the %B close below 0.2.


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE BELOW MA(200)
BOLLINGER %B(20,2) 2 DAYS AGO ABOVE 0.8
BOLLINGER %B(20,2) 1 DAY AGO ABOVE 0.8
BOLLINGER %B(20,2) ABOVE 0.8

/*EXIT WHEN BOLLINGER %B CLOSES BELOW 0.2*/

]



Connors' backtest results (606 trades from inception of the ETF through 12/31/08) show a win percentage of 70.1%, an average gain of 0.95% per trade, and an average holding time of 4.5 days.

My backtesting data (107 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 61.7%, a much lower average gain of only 0.04% per trade, and a MUCH longer average holding time of 26.0 days.

COMMENTS: Much better playing this filter on the long trades rather than the short ones. I am surprised that the differences in win percentage and overall performance.



Kevin_in_GA
4,548 posts
msg #93838
Ignore Kevin_in_GA
6/14/2010 2:11:05 PM

CONNORS FILTER #5: THE MULTIPLE DAYS UP/MULTIPLE DAYS DOWN METHOD

This filter looks for ETFs where the close has been up/down for 4 out of the last 5 days.

Long Trade Rules:

1. ETF is above MA(200)
2. ETF is below MA(5)
2. Close has been lower for 4 out of the last 5 days

BUY on the close of the day these criteria are met.
SELL on the close of the day the ETF closes back above its MA(5)


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
CLOSE BELOW MA(5)

/*SCREEN FOR FOUR DOWN DAYS OUT OF THE LAST FIVE*/
SET{DOWNCOUNT, COUNT(CLOSE BELOW CLOSE 1 DAY AGO,5)}

DOWNCOUNT ABOVE 3.5

/*SELL WHEN THE ETF CLOSES BACK ABOVE ITS MA(5)*/

]



Connors' backtest results (1,071 trades from inception of the ETF through 12/31/08) show a win percentage of 73.6%, an average gain of 0.50% per trade, and an average holding time of 3.3 days.


My backtesting data (on only 415 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 68.5%, a similar average gain of 0.49% per trade, and a similar holding time of 3.2 days.


Short Trade Rules:

1. ETF is below MA(200)
2. ETF is above MA(5)
3. close has been higher for 4 out of the last 5 days

SHORT on the close of the day these criteria are met.
COVER on the close of the day the ETF closes back below its MA(5)


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE BELOW MA(200)
CLOSE ABOVE MA(5)

/*SCREEN FOR FOUR UP DAYS OUT OF THE LAST FIVE*/
SET{UPCOUNT, COUNT(CLOSE ABOVE CLOSE 1 DAY AGO,5)}

UPCOUNT ABOVE 3.5

/*EXIT WHEN ETF CLOSES BACK BELOW ITS MA(5)*/

]



Connors' backtest results (606 trades from inception of the ETF through 12/31/08) show a win percentage of 71.1%, an average gain of 0.80% per trade, and an average holding time of 3.4 days.

My backtesting data (306 trades from 12/31/2006 until today from the same set of ETFs) show a slightly higher win percentage of 72.5%, a higher average gain of 1.08% per trade, and an average holding time of 3.5 days.

COMMENTS: Better playing this filter on the short trades rather than the long ones.


Kevin_in_GA
4,548 posts
msg #93840
Ignore Kevin_in_GA
6/14/2010 2:11:40 PM

CONNORS FILTER #6: RSI(2) 10/6 (90/94) METHOD

This filter looks for ETFs where the RSI(2) is at extremes (either below 6 or above 94).

Long Trade Rules:

1. ETF is above MA(200)
2. RSI(2) below 10 1 day ago
2. RSI(2) below 6

BUY on the close of the day these criteria are met.
SELL on the close of the day the ETF closes back above its MA(5)


Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE ABOVE MA(200)
RSI(2) 1 DAY AGO BELOW 10
RSI(2) BELOW 6
DRAW MA(5)

/*EXIT WHEN THE ETF CLOSES ABOVE ITS MA(5)*/

]



Connors' backtest results (1,075 trades from inception of the ETF through 12/31/08) show a win percentage of 81.90%, an average gain of 0.93% per trade, and an average holding time of 3.7 days.

My backtesting data (on only 153 trades from 12/31/2006 until today from the same set of ETFs) show a lower win percentage of 73.9%, a lower average gain of 0.79% per trade, and a shorter average holding time of 3.3 days. Still a good performing filter – the differences seen here may be due to the backtest exit criteria discussed earlier.


Short Trade Rules:

1. ETF is below MA(200)
2. RSI(2) above 90 1 day ago
3. RSI(2) above 94

SHORT on the close of the day these criteria are met.
COVER on the close of the day the ETF closes back below its MA(5)


Fetcher[


SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

CLOSE BELOW MA(200)
RSI(2) 1 DAY AGO ABOVE 90
RSI(2) ABOVE 94
DRAW MA(5)

/*EXIT WHEN THE ETF CLOSES BELOW ITS MA(5)*/

]



Connors' backtest results (566 trades from inception of the ETF through 12/31/08) show a win percentage of 76.0%, an average gain of 1.56% per trade, and an average holding time of 3.8 days.

My backtesting data (182 trades from 12/31/2006 until today from the same set of ETFs) show a much lower win percentage of only 59.0%, an average gain of only 0.84% per trade, and an average holding time of 2.0 days.

COMMENTS: Much better playing this filter on the long trades rather than the short ones.



Kevin_in_GA
4,548 posts
msg #93841
Ignore Kevin_in_GA
modified
6/14/2010 2:17:49 PM

BRINGING IT ALL TOGETHER

If you're like me, you don't want to have to run 12 separate filters each day to see if any of these generate new trades. So let's make life a little simpler and combine all of the long filters in one mega-filter, and do the same for the short versions as well.


CONNORS' COMPOSITE LONG FILTER

Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

SET{LONG1, COUNT(CLOSE ABOVE MA(200),1)}
SET{LONG2, COUNT(CLOSE BELOW MA(5),1)}
SET{LONG12, LONG1 * LONG2}

SET{1A_1, COUNT(HIGH DECREASING FOR 3 DAYS,1)}
SET{1A_2, COUNT(LOW DECREASING FOR 3 DAYS,1)}
SET{1A_3, 1A_1 * 1A_2}
SET{1A, 1A_3 * LONG12}


SET{2A_1, COUNT(RSI(4) BELOW 25,1)}
SET{2A, 2A_1 * LONG1}


SET{3A_1, COUNT(RSI(2) DECREASING FOR 3 DAYS,1)}
SET{3A_2, COUNT(RSI(2) 3 DAYS AGO BELOW 60,1)}
SET{3A_3, COUNT(RSI(2) BELOW 10,1)}
SET{3A_4, 3A_1 * 3A_2}
SET{3A_5, 3A_3 * 3A_4}
SET{3A, 3A_5 * LONG1}


SET{4A_1, COUNT(BOLLINGER %B(20,2) 2 DAYS AGO BELOW 0.2,1)}
SET{4A_2, COUNT(BOLLINGER %B(20,2) 1 DAY AGO BELOW 0.2,1)}
SET{4A_3, COUNT(BOLLINGER %B(20,2) BELOW 0.2,1)}
SET{4A_4, 4A_1 * 4A_2}
SET{4A_5, 4A_3 * 4A_4}
SET{4A, 4A_5 * LONG1}


SET{DOWN_4OF5, COUNT(CLOSE BELOW CLOSE 1 DAY AGO,5)}
SET{DOWNCOUNT, COUNT(DOWN_4OF5 ABOVE 3.5,1)}
SET{5A, DOWNCOUNT * LONG12}


SET{6A_1, COUNT(RSI(2) 1 DAY AGO BELOW 10,1)}
SET{6A_2, COUNT(RSI(2) BELOW 6,1)}
SET{6A_3, 6A_1 * 6A_2}
SET{6A, 6A_3 * LONG12}


SET{C1, 1A + 2A}
SET{C2, C1 + 3A}
SET{C3, C2 + 4A}
SET{C4, C3 + 5A}
SET{COMPOSITE, C4 + 6A}

ADD COLUMN COMPOSITE

ADD COLUMN 1A {3 DAY HIGH/LOW}
ADD COLUMN 2A {RSI(4) BELOW 25}
ADD COLUMN 3A {RSI(2) DECREASING}
ADD COLUMN 4A {%B BELOW 0.2 FOR 3 DAYS}
ADD COLUMN 5A {DOWN 4/5}
ADD COLUMN 6A {RSI(2) 10/6}
ADD COLUMN RELATIVE STRENGTH(SPY,63) {RS63}

SORT ON COLUMN 5 DESCENDING

COMPOSITE ABOVE 0.5

DRAW MA(200)
DRAW MA(5)
DRAW RSI(4) LINE AT 25
DRAW RSI(2) LINE AT 6
DRAW BOLLINGER %B(20,2) LINE AT 0.2
DRAW DOWNCOUNT

]




You can see that what I have done is to make each individual filter entry criterion into a user variable that "counts" if that criterion is hit today, and if so assigns a value of "1" - if it is not hit, it is assigned a value of "0". Then you simply multiply all of the individual variables together and only if all are hit will it return a "1". If not, the filter will not return any stocks. Each column therefore is the output of a separate filter - what is nice here is that you can see when a given ETF is returned by multiple filters (hopefully improving its likelihood of a positive return).



CONNORS' COMPOSITE SHORT FILTER

Fetcher[

SYMLIST(DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLV)

SET{SHORT1, COUNT(CLOSE BELOW MA(200),1)}
SET{SHORT2, COUNT(CLOSE ABOVE MA(5),1)}
SET{SHORT12, SHORT1 * SHORT2}


SET{1B_1, COUNT(HIGH INCREASING FOR 3 DAYS,1)}
SET{1B_2, COUNT(LOW INCREASING FOR 3 DAYS,1)}
SET{1B_3, 1B_1 * 1B_2}
SET{1B, 1B_3 * SHORT12}


SET{2B_1, COUNT(RSI(4) ABOVE 75,1)}
SET{2B, 2B_1 * SHORT1}


SET{3B_1, COUNT(RSI(2) INCREASING FOR 3 DAYS,1)}
SET{3B_2, COUNT(RSI(2) 3 DAYS AGO ABOVE 40,1)}
SET{3B_3, COUNT(RSI(2) ABOVE 90,1)}
SET{3B_4, 3B_1 * 3B_2}
SET{3B_5, 3B_3 * 3B_4}
SET{3B, 3B_5 * SHORT1}


SET{4B_1, COUNT(BOLLINGER %B(20,2) 2 DAYS AGO ABOVE 0.8,1)}
SET{4B_2, COUNT(BOLLINGER %B(20,2) 1 DAY AGO ABOVE 0.8,1)}
SET{4B_3, COUNT(BOLLINGER %B(20,2) ABOVE 0.8,1)}
SET{4B_4, 4B_1 * 4B_2}
SET{4B_5, 4B_3 * 4B_4}
SET{4B, 4B_5 * SHORT1}


SET{UP_4OF5, COUNT(CLOSE ABOVE CLOSE 1 DAY AGO,5)}
SET{UPCOUNT, COUNT(UP_4OF5 ABOVE 3.5,1)}
SET{5B, UPCOUNT * SHORT12}


SET{6B_1, COUNT(RSI(2) 1 DAY AGO ABOVE 90,1)}
SET{6B_2, COUNT(RSI(2) ABOVE 94,1)}
SET{6B_3, 6B_1 * 6B_2}
SET{6B, 6B_3 * SHORT12}


SET{COMP1B, 1B + 2B}
SET{COMP2B, COMP1B + 3B}
SET{COMP3B, COMP2B + 4B}
SET{COMP4B, COMP3B + 5B}
SET{COMPOSITE, COMP4B + 6B}

ADD COLUMN COMPOSITE
ADD COLUMN 1B {3 DAY HIGH/LOW}
ADD COLUMN 2B {RSI(4) ABOVE 75}
ADD COLUMN 3B {RSI(2) UP 3 DAYS}
ADD COLUMN 4B {%B ABOVE 0.8 FOR 3 DAYS}
ADD COLUMN 5B {UP 4/5}
ADD COLUMN 6B {RSI(2) 90/94}

COMPOSITE ABOVE 0.5

SORT ON COLUMN 5 DESCENDING
DRAW MA(5)
DRAW MA(200)
DRAW BOLLINGER BANDS(20,2)
DRAW RSI(4) LINE AT 75
DRAW RSI(2) LINE AT 90
DRAW BOLLINGER %B(20,2) LINE AT 0.8
DRAW UPCOUNT

]



Enjoy ....

jnafach
74 posts
msg #93846
Ignore jnafach
6/14/2010 4:03:53 PM

Hi Kevin, I want to thank you for all that you do, and being open to share the info, especially I am looking for ways to regain may fortune I lost that I could have buy house for it
Anyway, I read this book last year I looked at doing it but I found it little hard to practice, the opther problem is that you will miss a lot of days where RSI raise >90 and stay there and loose a lot of gain potential, I have seen in one of your posts that you may try it, I hope you luck
but the way is one of those is the TPS that they claim almost 90% success

also if you never visited you can look at their power ratings is tradingmarkets.com as this is free charts with scores on it, I think mainly based on RSI(2) which may cut a lot on your gains especially in years like last 2-3 years
thanks

StockFetcher Forums · Filter Exchange · \"HIGH PROBABILITY ETF TRADING\" BY LARRY CONNORS - GET YOUR FILTERS HERE!<< 1 2 3 4 5 ... 8 >>Post Follow-up

*** Disclaimer *** StockFetcher.com does not endorse or suggest any of the securities which are returned in any of the searches or filters. They are provided purely for informational and research purposes. StockFetcher.com does not recommend particular securities. StockFetcher.com, Vestyl Software, L.L.C. and involved content providers shall not be liable for any errors or delays in the content, or for any actions taken based on the content.


Copyright 2016 - Vestyl Software L.L.C.Terms of Service | License | Questions or comments? Contact Us
EOD Data sources: DDFPlus & CSI Data Quotes delayed during active market hours. Delay times are at least 15 mins for NASDAQ, 20 mins for NYSE and Amex. Delayed intraday data provided by DDFPlus