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How To Color Prior BarsExample how to color the trigger bar of the condition and n-1 prior bars using only 1 barcolor() function.
Currently when offsets are used in barcolor(), bgcolor(), plot(), plotarrow(), plotchar(), or plotshape(), the offset only works with a simple (static) integer. If series (dynamic) integers are used instead, there is not an error, but the series values are ignored. Because of this limitation of offset being constrained to using only fixed offsets, the normal way to paint 3 Black Crows would be to use 3 barcolor() functions. Since there are a known number of bars to be painted in that scenario, this can be easily accomplished.
If a condition encompassed a variable length of n bars, then the number of barcolor() functions needed to use would be unknown. How to color the trigger bar of the condition and n-1 prior bars using only 1 barcolor() function? Dual examples below solves issue but requires n "future" bars, because of this it will not paint the most recent condition in realtime and may not be applicable for use in certain realtime situations. It paints similar in behavior to how a pivot does. Special thanks to LucF and RicardoSantos for illumination!
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script! Indicator
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2 Moving Average Color Direction Detection 2 Moving Average Color Direction Detection, possibility to configure:
- Type: SMA , EMA , WMA , VWMA , SMMA , DEMA , TEMA , HULLMA, ZEMA, TMA, SSMA
- Lenght
- Source
- Color direction
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Adaptive Autonomous Recursive Moving AverageIntroduction
Using conditions in filters is a way to make them adapt to those, i already used this methodology in one of my proposed indicators ARMA which gave a really promising adaptive filter, ARMA tried to have a flat response when dealing with ranging market while following the price when the market where trending or exhibiting volatile movements, the filter was terribly simple which is one of its plus points but its down points where clearly affecting its performance thus making it almost impractical.
Today i propose a new filter A2ARMA which aim to correct all the bad behaviours of ARMA while having a good performance on various markets thanks to the added adaptivity.
Fixes And Changes
ARMA was dealing with terribles over/under-shoots which affected its performance, adding a zero-lag option made the thing even worse, in order to fix those mistakes i first cleaned the code, then i removed the offset for src in d , this choice is optional but the filter is sometimes more accurate this way.
The major change is the use of an adaptive moving average instead of the triangular moving average that smoothed the output, this adaptive moving average is calculated using exponential averaging while using the efficiency ratio as smoothing variable, this choice surprisingly removed the majority of overshoots while adding more adaptivity to the filter.
The Indicator
The Indicator work the same way as ARMA, not reacting during flat market periods while following the price when this one is volatile or trending. length control the smoothing amount while gamma determine how the filter is affected during flat market periods, gamma = 0 is just a double smoothed adaptive moving average, higher values of gamma will filter flat markets with a certain degree.
On Intel Corp with gamma = 0, i want to filter the flat period starting at July 10, gamma = 3 will certainly help us on this task.
Hooray, the problem appear to be solved ! Lower values of gamma also produce desirable effect as shown below :
gamma = 2
So far so good, but gamma or length might have different optimal values depending on the market, also problems still exists as shown here :
Seagate is tricky, gamma at 2.4 might help
The relationship between length and gamma is somewhat complicated.
On Different Markets
While some filters will process market price the same way no matter the market they are affected, A2ARMA will change drastically depending of the market.
On AMD
On EURUSD
On BTCUSD
Comparison With ARMA
ARMA with parameters roughly matching A2RMA, overall most of the problems i wanted to fix where indeed fixed.
Conclusion
A huge thanks for the support i received during this "Blank Page" period i'am suffering, ARMA was an indicator i really wanted to further develop without giving up on the code simplicity and i think this version might provide useful results, we can also notice that the decision making is easier with this version of the indicator thanks to the added coloring (which would have been impossible with ARMA).
My work don't have license attached to it, feel free to modify and share your findings, mentioning is appreciated :)
Thanks for reading !
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Efficient Auto LineMore Efficiency
Based on the Auto-Line code, the Efficient Auto Line aim to provide a more controlled adaptivity of the indicator. The first indicator of this sort worked this way : when the absolute difference between the price and the indicator is higher than the previous indicator +/- A pips of amplitude, the indicator will display the closing price, else its anterior value. The second indicator (Auto-Line) was adaptive and used the standard deviation instead of a constant A . This indicator will run both methodology providing both a trend strength indicator (Efficiency Ratio) parameter and two constant parameter.
Parameters
The length parameter will control the period of the efficiency ratio, a high period return lower values of the efficiency ratio. Since its an indicator in a range of (0,1) we use it to make our indicator more adaptive in trending market, this is when we need our two constant parameters, the fast/slow parameter can be any amount of pips where fast < slow , when the price is trending (efficiency ratio close to 1) the indicator will use the fast parameter, if its ranging (efficiency ratio away from 1) the indicator will use the slow parameter, then it will work like the first methodology previously explained. So the fast parameter should be equal to a small movement of pips (0.0001 or 1 pip) and the slow parameter should be equal to a number of pips you wont expect to see in a ranging market. At this point it is good to test for both parameter and see which values work better (a more automatic process is in development) .
Hope you like it ! Indicator
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Tabajara + 3 MA + Vwap + Volume Confirmation + Background Color Hi Traders!!!
My name is Alan and i'm here to share my script based on Tabajara Rule from Brasilian Professor/Trader Andre Machado.
This script shows:
1 Long SMA
1 Tabajara Color SMA
1 Color Long EMA
1 Color Short EMA
1 Vwap
1 Background Colored based in 21 EMA
So what Tabajara is?
Tabajara is a Trend Following Trade System.
If the MA is going up, you look for buy oportunitys.
If the MA is going down you only look for sell oportunitys.
And the coloring Candlesticks are based on Tabajara MA, if an buy candle closes above Tabajara MA which is going up, it candlestick is painted green acoording Tabajara MA, if Tabajara is going down and the candle closes as a sell candle, this candle is painted red.
To this indicator was added a volume ma to confirm Tabajara Candle Rule, if the volume is over the 21 ma the condition is ok.
Well my english isn't good as all you can see.
But my intentions are.
I use the trade system to operate futures market and USD/BRL and works very well at 1 minute time frame.
I hope you enjoy and make money.
If you have any question you are free to ask me and share your experience.
Remember to follow all Technical Analysis instructions. This script only helps to see the trend and volume. We only recieve 2 information from Stock Exchange, price and volume, they need to be used together, volume confirms trend, and all basic rules to be a sucessfull trader.
Thank you all. Indicator
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