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1 posts
msg #96363
Ignore subratkabi
9/17/2010 10:55:02 PM

I am new to stock trading, so open to learning and all suggestions are welcome.
The below filter will try to catch a trend and there will be trailing stop loss for every trade which is different for every stock depending on its volatility.

The trailing stop can be either stopl1(%) column or stopl2(%) column values.
How we can use this is to fetch stocks from 1 day before using this filter and select those stocks whose price is still increasing which means the trend has maintained. Trailing stop can be adjusted every day depending on volatility of the stock.
Backtesting of this filter is difficult on Stockfetcher because of trailing stop limitations.

The filter is in ascending order of ADX(14) , the higher the ADX means stronger the trend.
This is a long only filter.

Show stocks where Close has been increasing for the last 2 days
and price above MA(13) for the last 2 days
and price above 1
and MACD fast line(12,26) has been increasing for the last 2 days
and MACD Fast Line(12,26,9) has been above the MACD Slow Line(12,26,9) for the last 2 days
and MACD histogram(12,26) has been increasing for the last 2 days
and ADX(14) has been increasing for the last 2 days
and ADX(14,14) is above 30
and Average Volume(14) is above 50000
and williams accumulation distribution increasing for the last 3 days
and RSI(15) 1 day ago had been below 90 for the last 5 days
and relative strength(^IXIC,45) is above 1.20
and draw ATR(7)
and draw support(100,25,1)
and draw resistance(100,25,1)
and draw Chandelier Exit(22,2.5)
set {stopd, Chandelier Exit(22,2.5)}
set {stopl1, price - stopd}
add column stopl1
set {stpp, stopl1/price}
set {stopl1(%), stpp*100}
add column stopl1(%)
set {stop2, ATR(7)}
set {stopl2, stop2*2}
add column stopl2
set {stopl2d, stopl2/price}
set {stopl2(%), stopl2d*100}
add column stopl2(%)
set {di, ADX(14)}
add column di
set {Low52,low 1 year low}
add column Low52
set {High52,high 1 year high}
add column High52
sort column 9 descending


What do you think about this filter?


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