(1 second trading strategy) Compete with the robots

• 07/01/2020 at 3:53 PM #137415
  murit89

  Bulls usually buy between the close and low to push the price up and bears usually buy between the high and close to push the price down. This shows you candle strength and equilibrium's..

  st1=high-close st2=low-close return st1 coloured (255,0,0,255), st2 coloured (0,255,0,255)

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  st1=high-close st2=low-close return st1 coloured (255,0,0,255), st2 coloured (0,255,0,255)

  this can be applied to chart to create support/resistance points of true high/lows or used alone as an indicator to show divergence

  Market maker algorithms dont take into account opening price, this measures the true 50 day average vs 200 day average works like an better rsi, which doesnt work on the 1 second period

  st1=(low+close+high)[50] st2=(low+close+high)[200] return st1 as "50", st2 as "200"

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  st1=(low+close+high)[50] st2=(low+close+high)[200] return st1 as "50", st2 as "200"

  this can be used as a standard alone indicator to show divergence in the trend or applied to the chart to show support/resistance of the true 50/200 day averages

  

  murit89

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  09/28/2020 at 11:32 AM #145656
  robertogozzi

  I don’t use such fast TF’s, but I think they can be useful in greater TF’s , as well.

  Thanks for sharing you code and ideas 🙂

   

   

  

  robertogozzi

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  09/29/2020 at 8:10 AM #145806
  Nicolas

  The st1 and st2 variables are not averages, but the values from 50 and 200 bars ago.

  

  Nicolas

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  02/05/2021 at 11:35 PM #160498
  Bob Harris

  Hi,

  I used the code and it gives exactly the same results as illustrated in your screen captures,  what I don’t understand  (and please forgive my ignorance) is how this can be used as part of a trading strategy, am I missing something?

  Best regards

   

   

  

  Bob Harris

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  02/06/2021 at 8:52 AM #160506
  Vonasi

  Also if you are adding it to a 1 second chart you need to add a TIMEFRAME instruction to get the daily 50 and 200 day averages. I also changed it to add AVERAGE.

  timeframe(daily) st = (low+close+high) st1 = average[50](st) st2 = average[200](st) return st1 as "50", st2 as "200"

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  timeframe(daily)   st = (low+close+high)   st1 = average[50](st) st2 = average[200](st)   return st1 as "50", st2 as "200"

   

  

  Vonasi

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