Zen Trading Tech

4 responses to “Researching How to Trade a Measured Move of Yesterday’s Range”

1. 

   barryde

   February 7, 2026

   Hi Tim, Bazz here from Adelaide, if you want, can you share with me the code if you using tradingview and Pinescript for data collection on MM. I want to do my own research on pre market MM on the DAX . I have some code for highlighting pre market and measuring etc, Cheers ( or pointers or where to search for info)

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   1. 

      barryde

      February 7, 2026

      ignore the code below, finding some logic errors and the stats are wrong

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2. 

   barryde

   February 7, 2026

   started with Gemini. so far so good, how did you get your graphs?

   DAX Pre-Market Measured Move Statistics Stat Probability1.0x Upside Hit51.6%

   1.0x Downside Hit48.1%

   Dual-Side (Outside)15.9%

   Sample Size (Days)836

   //@version=5

   indicator(“DAX MM Historical Researcher (500 Days)”, overlay=true, max_boxes_count=500)

   // — Inputs —

   grp_time = “Session Settings (Adelaide UTC+10:30)”

   startTime = input.session(“1730-1830”, “Pre-Market Window”, group=grp_time)

   // 03:00 is the typical close for DAX futures in local time

   sessEnd   = input.session(“0300-0301”, “RTH Session End”, group=grp_time)

   // — Historical Tracking Variables —

   var int totalDays = 0

   var int hitsUp    = 0

   var int hitsDn    = 0

   var int dualHits  = 0

   var float pm_high = na

   var float pm_low  = na

   var bool up_touched_today = false

   var bool dn_touched_today = false

   var bool day_counted = false

   // — Time Logic —

   is_premarket = time(timeframe.period, startTime, “GMT+1030”)

   is_rth       = not is_premarket and not na(time(timeframe.period, “1830-0300”, “GMT+1030”))

   is_new_day   = ta.change(time(“D”))

   // Reset daily flags

   if is_new_day

       pm_high := na

       pm_low  := na

       up_touched_today := false

       dn_touched_today := false

       day_counted := false

   // Capture PM Range

   if is_premarket

       pm_high := na(pm_high) ? high : math.max(pm_high, high)

       pm_low  := na(pm_low) ? low : math.min(pm_low, low)

   // Calculations

   float pm_range = pm_high – pm_low

   float up_100 = pm_high + pm_range

   float dn_100 = pm_low – pm_range

   // Tracking Hits during RTH

   if is_rth and not na(pm_range)

       if not day_counted

           totalDays += 1

           day_counted := true

       if high >= up_100 and not up_touched_today

           hitsUp += 1

           up_touched_today := true

       if low <= dn_100 and not dn_touched_today

           hitsDn += 1

           dn_touched_today := true

   // Count Dual Hits at the end of the day

   if ta.change(is_rth) and not is_rth and up_touched_today and dn_touched_today

       dualHits += 1

   // — Visuals —

   plot(pm_high, “PM High”, color.new(color.gray, 50), 1, plot.style_linebr)

   plot(pm_low, “PM Low”, color.new(color.gray, 50), 1, plot.style_linebr)

   plot(up_100, “1.0x Up”, color.new(color.green, 0), 2, plot.style_linebr)

   plot(dn_100, “1.0x Dn”, color.new(color.red, 0), 2, plot.style_linebr)

   // — Stats Table —

   var table stats = table.new(position.top_right, 2, 5, border_width=1, frame_color=color.white)

   if barstate.islast

       float hitRateUp = (hitsUp / totalDays) * 100

       float hitRateDn = (hitsDn / totalDays) * 100

       float hitRateDual = (dualHits / totalDays) * 100

       table.cell(stats, 0, 0, “Stat (Last 500D)”, bgcolor=color.gray, text_color=color.white)

       table.cell(stats, 1, 0, “Probability”, bgcolor=color.gray, text_color=color.white)

       table.cell(stats, 0, 1, “1.0x Upside Hit”)

       table.cell(stats, 1, 1, str.tostring(hitRateUp, “0.0”) + “%”)

       table.cell(stats, 0, 2, “1.0x Downside Hit”)

       table.cell(stats, 1, 2, str.tostring(hitRateDn, “0.0”) + “%”)

       table.cell(stats, 0, 3, “Dual Side (Outside)”)

       table.cell(stats, 1, 3, str.tostring(hitRateDual, “0.0”) + “%”)

       table.cell(stats, 0, 4, “Sample Size (Days)”)

       table.cell(stats, 1, 4, str.tostring(totalDays))

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   1. 

      barryde

      February 7, 2026

      Ignore the code above, finding some logic errors and the stats are wrong

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