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Profile: aubrey_dsouza
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User Name: aubrey_dsouza
Groups: Gold User, Member, TeleChart
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Statistics
Joined: Sunday, March 10, 2013
Last Visit: Saturday, December 1, 2018 6:59:13 PM
Number of Posts: 41
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Last 10 Posts
Topic: Linear Regression
Posted: Friday, November 30, 2018 3:53:28 PM

Thanks that works.

Topic: Linear Regression
Posted: Friday, November 30, 2018 3:23:08 PM

It does not like FAVGC3

AVGC3 is ok

Topic: Linear Regression
Posted: Friday, November 30, 2018 3:14:21 PM

I am using TC2000 12.5 does that make a difference as I have copied formuals from the forum before without any problems. Thanks

Topic: Linear Regression
Posted: Friday, November 30, 2018 2:58:23 PM

Thanks - when I paste combined FAVGC3 > AVGC3 AND FAVGC15 < AVGC15 AND FAVGC50 > AVGC50 in condition formula I am getting an formula error.

Am i missing something - Thanks

 

Topic: Linear Regression
Posted: Friday, November 30, 2018 2:30:01 PM

Can you please provide a PCF for Linear Regression of price as follows:

Slope for 50 days > 0

and

Slope for last 15 days < 0

and

Slope for last 3 days > 0

Thanks

 

Topic: Base PCF
Posted: Tuesday, January 2, 2018 2:00:00 PM

Hi Bruce,

I am using TC2000 v12.5 - when I put in the PCF I am getting a formula error  "syntax error" on PCF 2 and in PCF1 I am getting Argument missing near >= - apprciate your help. Thans

 

Topic: Base PCF
Posted: Tuesday, January 2, 2018 1:39:44 PM

Thanks - sorry that was my mistake it should have been a bracket not "9"

Topic: Base PCF
Posted: Tuesday, January 2, 2018 12:46:59 PM

Hi Bruce can you please help me convert this stockcharts.com scan to a PCF that I can then also use as a SCAN in TC2000- thanks! Aubrey

[Daily plus DI(14) > Daily minus DI(14)] and [Daily adx line(14 >=15] and [Slope(10,[Daily minus di(14)]) < 0] and [Close > daily sma(200,close)] and [daily sma(20,daily close) > daily SMA9200,close)] 

 

Topic: Stocks on the Move - Clenow
Posted: Wednesday, January 18, 2017 1:20:52 PM

Thank you.

Topic: Stocks on the Move - Clenow
Posted: Wednesday, January 18, 2017 6:24:11 AM

Hi Bruce please proivde the 45 day regression slope and R squared similar to the 90 day as per below - Greatly appreciated Thank you.

(100 * (EXP(253 * (44.5 * LOG(C ) + 43.5 * LOG(C1) + 42.5 * LOG(C2) + 41.5 * LOG(C3) + 40.5 * LOG(C4) + 39.5 * LOG(C5) + 38.5 * LOG(C6) + 37.5 * LOG(C7) + 36.5 * LOG(C8) + 35.5 * LOG(C9) + 34.5 * LOG(C10) + 33.5 * LOG(C11) + 32.5 * LOG(C12) + 31.5 * LOG(C13) + 30.5 * LOG(C14) + 29.5 * LOG(C15) + 28.5 * LOG(C16) + 27.5 * LOG(C17) + 26.5 * LOG(C18) + 25.5 * LOG(C19) + 24.5 * LOG(C20) + 23.5 * LOG(C21) + 22.5 * LOG(C22) + 21.5 * LOG(C23) + 20.5 * LOG(C24) + 19.5 * LOG(C25) + 18.5 * LOG(C26) + 17.5 * LOG(C27) + 16.5 * LOG(C28) + 15.5 * LOG(C29) + 14.5 * LOG(C30) + 13.5 * LOG(C31) + 12.5 * LOG(C32) + 11.5 * LOG(C33) + 10.5 * LOG(C34) + 9.5 * LOG(C35) + 8.5 * LOG(C36) + 7.5 * LOG(C37) + 6.5 * LOG(C38) + 5.5 * LOG(C39) + 4.5 * LOG(C40) + 3.5 * LOG(C41) + 2.5 * LOG(C42) + 1.5 * LOG(C43) + 0.5 * LOG(C44) - 0.5 * LOG(C45) - 1.5 * LOG(C46) - 2.5 * LOG(C47) - 3.5 * LOG(C48) - 4.5 * LOG(C49) - 5.5 * LOG(C50) - 6.5 * LOG(C51) - 7.5 * LOG(C52) - 8.5 * LOG(C53) - 9.5 * LOG(C54) - 10.5 * LOG(C55) - 11.5 * LOG(C56) - 12.5 * LOG(C57) - 13.5 * LOG(C58) - 14.5 * LOG(C59) - 15.5 * LOG(C60) - 16.5 * LOG(C61) - 17.5 * LOG(C62) - 18.5 * LOG(C63) - 19.5 * LOG(C64) - 20.5 * LOG(C65) - 21.5 * LOG(C66) - 22.5 * LOG(C67) - 23.5 * LOG(C68) - 24.5 * LOG(C69) - 25.5 * LOG(C70) - 26.5 * LOG(C71) - 27.5 * LOG(C72) - 28.5 * LOG(C73) - 29.5 * LOG(C74) - 30.5 * LOG(C75) - 31.5 * LOG(C76) - 32.5 * LOG(C77) - 33.5 * LOG(C78) - 34.5 * LOG(C79) - 35.5 * LOG(C80) - 36.5 * LOG(C81) - 37.5 * LOG(C82) - 38.5 * LOG(C83) - 39.5 * LOG(C84) - 40.5 * LOG(C85) - 41.5 * LOG(C86) - 42.5 * LOG(C87) - 43.5 * LOG(C88) - 44.5 * LOG(C89)) / 60742.5) - 1))

*
(((((90 - 1) / 2) * AVGC90 - (C1 +2*C2 +3*C3 +4*C4 +5*C5 +6*C6 +7*C7 +8*C8 +9*C9 +10*C10 +11*C11 +12*C12 +13*C13 +14*C14 +15*C15 +16*C16 +17*C17 +18*C18 +19*C19 +20*C20 +21*C21 +22*C22 +23*C23 +24*C24 +25*C25 +26*C26 +27*C27 +28*C28 +29*C29 +30*C30 +31*C31 +32*C32 +33*C33 +34*C34 +35*C35 +36*C36 +37*C37 +38*C38 +39*C39 +40*C40 +41*C41 +42*C42 +43*C43 +44*C44 +45*C45 +46*C46 +47*C47 +48*C48 +49*C49 +50*C50 +51*C51 +52*C52 +53*C53 +54*C54 +55*C55 +56*C56 +57*C57 +58*C58 +59*C59 +60*C60 +61*C61 +62*C62 +63*C63 +64*C64 +65*C65 +66*C66 +67*C67 +68*C68 +69*C69 +70*C70 +71*C71 +72*C72 +73*C73 +74*C74 +75*C75 +76*C76 +77*C77 +78*C78 +79*C79 +80*C80 +81*C81 +82*C82 +83*C83 +84*C84 +85*C85 +86*C86 +87*C87 +88*C88 +89*C89) / 90) / SQR(((90^2 - 1) / 12) * ((C^2 +C1^2 +C2^2 +C3^2 +C4^2 +C5^2 +C6^2 +C7^2 +C8^2 +C9^2 +C10^2 +C11^2 +C12^2 +C13^2 +C14^2 +C15^2 +C16^2 +C17^2 +C18^2 +C19^2 +C20^2 +C21^2 +C22^2 +C23^2 +C24^2 +C25^2 +C26^2 +C27^2 +C28^2 +C29^2 +C30^2 +C31^2 +C32^2 +C33^2 +C34^2 +C35^2 +C36^2 +C37^2 +C38^2 +C39^2 +C40^2 +C41^2 +C42^2 +C43^2 +C44^2 +C45^2 +C46^2 +C47^2 +C48^2 +C49^2 +C50^2 +C51^2 +C52^2 +C53^2 +C54^2 +C55^2 +C56^2 +C57^2 +C58^2 +C59^2 +C60^2 +C61^2 +C62^2 +C63^2 +C64^2 +C65^2 +C66^2 +C67^2 +C68^2 +C69^2 +C70^2 +C71^2 +C72^2 +C73^2 +C74^2 +C75^2 +C76^2 +C77^2 +C78^2 +C79^2 +C80^2 +C81^2 +C82^2 +C83^2 +C84^2 +C85^2 +C86^2 +C87^2 +C88^2 +C89^2) / 90 - AVGC90^2)))^2)