Code Amibroker Indicators

CCT Stochastic RSI (StochRSI) for Amibroker (AFL)

by admin January 4, 2019 1 min read 0 comments

Key Takeaways

  • Market conditions and their impact on trading decisions
  • Key levels and price action analysis
  • Risk management strategies for this setup

StochRSI, proposed by Steve Karnish of Cedar Creek Trading, reconfigure classic StochRSI using custom parameters and smoothing.

Here is an ambroker implementation of a very adjustable version that I created based on the following:

https://www.tradingview.com/script/T1IH3ijF-CCT-StochRSI-LazyBear/

perRsi = Param( “Per RSI”, 21, 1, 100 );
smoothPer = Param( “Smooth Periods”, 3, 1, 100 );
perLowestA = Param( “Lowest Periods X”, 8, 1, 100 );
perLowestB = Param( “Lowest Periods Z”, 13, 1, 100 );
perHighest = Param( “Highest Periods Y”, 13, 1, 100 );
r = RSI( perRsi );
cctstochrsi = 100 * (r – LLV( r , perLowestA )) / (HHV( r , perHighest ) – LLV( r, perLowestB) + 0.0001);
Plot( cctstochrsi , “StoRSI”, colorRed, styleThick );
Plot( EMA( cctstochrsi, smoothPer) , “Signal”, colorBlue, styleThick );
Plot( 90 , “Signal”, colorBlue, styleDashed );
Plot( 10 , “Signal”, colorBlue, styleDashed );

Trading Data Snapshot

Always verify current market conditions before executing any trade. Past performance does not guarantee future results.

A
admin
Trading analyst and market commentator with expertise in technical analysis, price action, and risk management. Dedicated to helping traders make informed decisions.

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