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Description:
I am in search of an experienced MQL5 developer to convert a TradingView indicator to the MQ5 programming language. It is crucial for me that the resulting code is highly optimized, without relying on iCustom functions or external resources.
Project Requirements:
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Conversion without iCustom Dependency: The conversion must be done without the use of iCustom functions to ensure optimal performance and independence from external resources.
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Code Optimization: Thorough code optimization is sought to ensure efficient and fast performance on the MetaTrader 5 (MT5) platform.
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Experience in Similar Projects: Previous experience in Pinescript to MQ5 conversion projects will be positively considered. If you have worked on similar initiatives, please provide details about those projects.
Additional Instructions:
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The converted code must maintain the accuracy and functionality of the original TradingView indicator.
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The final solution should be compatible with MetaTrader 5 and operate seamlessly on the MT5 platform.
How to Apply:
If you are interested in this project and believe you meet the requirements, please provide specific details about your experience in MQL5 development and any previous projects involving the conversion of Pinescript to MQ5. Attach examples of your previous work if possible.
Note: Avoid including any confidential information or specific code details in your initial application. Detailed discussion about the project will take place once the suitable developer is selected.
//@version=5 indicator("ENTP",precision=4) base = 2 length = input.int(title="Lookback", defval=10,tooltip="Base entropy lookback window length") entp_alma_1 = input.int(title="ENTP ALMA 1", defval=5,tooltip="Entropy MA 1") entp_alma_2 = input.int(title="ENTP ALMA 2", defval=20,tooltip="Entropy MA 2") entp_alma_3 = input.int(title="ENTP ALMA 3", defval=50,tooltip="Entropy MA 3") entp_alma_4 = input.int(title="ENTP ALMA 4", defval=100,tooltip="Entropy MA 4") entp_function(source,length,base) => p = source / math.sum(source,length) entp = math.sum(-p * math.log(p) / math.log(base),length) offset = 0.85 sigma = 10 t0_entp = entp_function(close,length,base) t0_entp_1 = ta.alma(t0_entp,entp_alma_1,offset,sigma) t0_entp_2 = ta.alma(t0_entp,entp_alma_2,offset,sigma) t0_entp_3 = ta.alma(t0_entp,entp_alma_3,offset,sigma) t0_entp_4 = ta.alma(t0_entp,entp_alma_4,offset,sigma) p1 = plot(t0_entp,color=color.white,linewidth=1) p2 = plot(t0_entp_1,color=color.new(color.gray,50)) p3 = plot(t0_entp_2,color=color.new(color.gray,50)) p4 = plot(t0_entp_3,color=color.new(color.gray,50)) p5 = plot(t0_entp_4,color=color.new(color.gray,50)) fill(p4,p5,color=t0_entp_3 > t0_entp_4 ? color.new(#144552, 10) : color.new(#3E1F47, 10)) fill(p3,p4,color=t0_entp_2 > t0_entp_3 ? color.new(#0B525B,10) : color.new(#312244,10)) fill(p1,p2,color=t0_entp > t0_entp_1 ? color.new(#006466,10) : color.new(#212F45,10)) fill(p2,p3,color=t0_entp_1 > t0_entp_2 ? color.new(#065A60,10) : color.new(#272640,10))
El aspecto visual del indicador es el siguiente: