Mactheriverrat 3,157 posts msg #129419 - Ignore Mactheriverrat |
6/25/2016 10:57:08 PM
Using the below code can anyone make some code as to tell when is the first day up or first day down.
set{fast1,cwma(close,3)}
set{fast2,2 * fast1}
set{fast3,cwma(close,5)}
set{valfast,fast2 - fast3}
set{fastavg,cwma(valfast,3)}
draw fastavg on plot price
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jimvin 173 posts msg #129809 - Ignore jimvin |
7/14/2016 12:21:26 AM
Cap'n, by way of courtesy I'll offer this reply:
Although I've gotten better at writing filters and developing models over the last few months, nothing I've tried for this works.
My apologies for lack of a more useful response -
jm.v.
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Mactheriverrat 3,157 posts msg #129810 - Ignore Mactheriverrat |
7/14/2016 1:54:49 AM
Thanks for trying .
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four 5,087 posts msg #129833 - Ignore four |
7/14/2016 11:14:34 PM
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ahcsim72 151 posts msg #129837 - Ignore ahcsim72 |
7/15/2016 2:47:55 AM
four, thanks for that filter..
now, how do you show stocks that JUST got tagged with a buy signal only?
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four 5,087 posts msg #129847 - Ignore four |
7/15/2016 12:36:52 PM
change: BUY > .5
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pthomas215 1,251 posts msg #129855 - Ignore pthomas215 |
7/15/2016 9:48:53 PM
mac or Four: if you sorted this filter, what would you sort by that makes the most sense?
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Mactheriverrat 3,157 posts msg #129857 - Ignore Mactheriverrat |
7/17/2016 2:46:07 AM
Sorry but i'm not messing with these fast average's anymore.
I'm been messing Guppy GMMA and learning all I can about them.
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pthomas215 1,251 posts msg #129868 - Ignore pthomas215 |
7/17/2016 7:19:34 PM
Mac, after doing some back testing, I am going to agree with you. Imo it is too inconsistent.
What is the concept behind guppy gmma?
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jimvin 173 posts msg #129870 - Ignore jimvin |
7/17/2016 10:22:05 PM
Material below is a summary from the guppytraders.com web-site. (This is not an endorsement; I neither subscribe to, use nor trade this system).
GUPPY MULTIPLE MOVING AVERAGE ™
This indicator was developed by Daryl Guppy. ... Captures the inferred behaviour of traders and investors by using two groups of averages. Uses fractal repetition to identify points of agreement and disagreement which precede significant trend changes.
APPLICATION
Applied to understand the nature and character of the trend. Used to assess the degree and extent of trading activity. Excessive trading activity can destabilise strong trends. Trend analysis enables more effective selection of appropriate trading strategies such as breakout, trend continuation etc. Can be applied to long side and short side trading. Can be applied to intraday trading. Also used for longer term investment style analysis.
TACTICS
Join established trends at points of price weakness
Join established trends breaking to new highs
Trade breakouts using rally dips and rebounds
Trade downtrend rallies as rallies rather than trend breaks
Recognise trend breaks as they develop
RULES
Degree and nature of separation in the long term group define trend strength and weakness
Degree and nature of separation in the short term group define the nature of trading activity.
Degree and nature of separation between the two groups of moving averages define the character of the trend.
Compression shows agreement on price and value.
Compression of both groups at the same time indicate major re-evaluation of stock and potential for a trend change
Trade in the direction of the long term group of averages
The relationships between the groups provide the necessary information about the nature and character of the trend.
Do not use as a moving average crossover tool
ADVANTAGES
Enables effective analysis of the trend environment
Improves selection of the appropriate trading tactics
Better understanding of trend strength
Effective evaluation of unusual price movements, such as dips and spikes
Effective understanding of trading activity and behaviour
DISADVANTAGES
Not effectively applied to trend less stocks
Cannot be applied to all trending stocks
Do not use as a moving average crossover signal
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