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Citra Bot

4

Inspired from,

Time is the most important factor in determining market movements and by studying past price records you will be able to prove to yourself history does repeat and by knowing the past you can tell the future. There is a definite relation between price and time. -William Delbert Gann


CITRA BOT is a Price Action/Price Pattern detection Indicator which uses historical data to validate a current pattern or profile to predict the probability of hitting future resistance or support levels.


Advantage of using CITRA BOT:

*Self Learning Algorithm.

*Faster and Superior than any other Machine Learning Models like Neural   Networks,Regressions,SVM,Decision tree,Random Forest etc.

*Faster response rate on switching TimeFrame.

*Precision based Profile detection Controls Noise allocation based on user requirements

*Custom Precision Percentage.

*Custom Email,Push Notification Alerts.


Caution: It's not HolyGrail System,It's a tool to give you insight of current market structure.The decision to trade is made only with combination of economical understanding of underlying instrument with economic indicators and economic news.



Recommended TimeFrame:

M30 and Above.


Major features considered in Profile detection are 

*Strength of the profile with respect to adjacent close price.

*Profile dimension.

*Future Resistance and Support.

*Tops and Bottoms with respect to time.

*Slope of profile.

*Deviation of profile.


Details on Important Input Parameters:

*LookBack_Period = No. of Bars to look in historical memory for exact Profile.

 Note:Download Required Historical Data as per LookBack Period.

*Profile_Period = No. of recent Bars to consider for a Profile.

*Resistance_pips= pips to set future Resistance level from current Close Price.

*Support_pips= pips to set future Support level from current Close Price.

*Profile_Precision= % of exact match of recent profile with respect to detected profiles.

*Alert_BUY_Above=It’s the Buy Probability alert percentage.

*Alert_SELL_Above=It’s the Sell Probability alert percentage.

*Alert_Profile_Detected=Alert on exceeding No. Of profile detected.

*x_axis,y_axis = Positioning of Display Dashboard on Chart.


Probability Calculation:

Buy Probability = ( Resistance Hit / (Resistance Hit+Support Hit) ) *100.

Sell Probability = ( Support Hit / (Resistance Hit +Support Hit) ) *100.


Trade Setup:

Buy = Up Arrow Popup         -Set TP at Resistance Level , SL at Support Level.

Sell = Downl Arrow Popup    -Set TP at Support Level , SL at Resistance Level.



Thank you.







Comentarios 4
Yusuf Hamzah
582
Yusuf Hamzah 2023.11.19 07:28 
 

It is a historical pattern recognition matcher. Like RSI Decoder, it would be great if size of the font and box can be changed to fit user preference. As it is, it takes too much space on the chart.

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Owl Craft Pro
Philip Pankaj Suthagar
Owl Craft Pro is a powerful scalping strategy that employs a smart entry and exit algorithm as well as sophisticated filtering algorithms to discover just the safest entry points during market calms. This approach is designed to provide long-term, consistent growth. It is a professional tool that incorporates all of the latest trading advancements. There's nothing fancy about this, no Holy Grail testing, no "risk-free martingale," just a rigid rule-based method to trading that allows you to maxi
Filtro:
Yusuf Hamzah
582
Yusuf Hamzah 2023.11.19 07:28 
 

It is a historical pattern recognition matcher. Like RSI Decoder, it would be great if size of the font and box can be changed to fit user preference. As it is, it takes too much space on the chart.

Seyed Mani Ashraf Pour Shoshtar
1037
Seyed Mani Ashraf Pour Shoshtar 2023.08.10 06:27 
 

El usuario no ha dejado ningún comentario para su valoración

Philip Pankaj Suthagar
6598
Respuesta del desarrollador Philip Pankaj Suthagar 2023.09.20 16:55
Hi sir, I have given oscillator for finding the entries in history and nothing is repainting here. You have to keep note of tp and sl. Thanks Version 3.0: Signal verification in history feature added
Suresh Patil
143
Suresh Patil 2023.08.05 07:54 
 

El usuario no ha dejado ningún comentario para su valoración

Philip Pankaj Suthagar
6598
Respuesta del desarrollador Philip Pankaj Suthagar 2023.08.10 07:38
Thanks for your kind words Suresh
amayr
35
amayr 2023.05.30 21:05 
 

El usuario no ha dejado ningún comentario para su valoración

Philip Pankaj Suthagar
6598
Respuesta del desarrollador Philip Pankaj Suthagar 2023.05.30 21:41
Thank you Amayr. Happy Trading !
Respuesta al comentario
Versión 3.10 2023.09.20
*Updated alert based on historical shifts.
Versión 3.0 2023.09.20
* Added signals shifting features so that we can see signals performance in history
Versión 2.90 2023.09.20
*Alert complexity made simple
Versión 2.80 2023.08.01
* Added Alert Bar shift.
Versión 2.70 2023.07.30
* Made an update on oscillator for considering only the values which exceed minimum number of profile detected threshold.
Versión 2.60 2023.06.01
*Added additional features to enhance trade stability.
Versión 2.50 2023.05.30
*Added Advanced feature to improve model precision.
Versión 2.40 2023.04.27
*Make a strategical change in core mechanics.
Versión 2.30 2020.07.28
*Solved zero divide error.
Versión 2.20 2020.07.15
*New feature is added in profile details to enhance the accuracy.
Versión 2.1 2020.07.14
*Solved Floating Arrow bug.
Versión 2.0 2020.07.13
*Precision Statistics Updated.
Versión 1.90 2020.07.12
*Updated Buffer dynamics.
Versión 1.80 2020.07.12
*Added Buffers for Integrating with EA.
Versión 1.70 2020.07.12
*For Historical Verification of signals, I have added shift option in the Indicator and removed Probability oscillator. Thus the resultant Indicator is lite and Quick in processing data.
*Added Price cluster Analysis filter to the fundamental algorithm so that signals are more reliable and efficient.
Versión 1.60 2020.01.19
*Upgraded with minor text correction.
Versión 1.50 2020.01.19
*Downgraded due to users request.
Versión 1.40 2020.01.18
*Features Update for Consistent forecast.
Versión 1.30 2020.01.03
*Self Optimization Bug Fixed.
Versión 1.20 2020.01.02
*Probability Oscillator Updated.
Versión 1.10 2019.12.28
*Zero Divide Bug Fixed.