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💎 4-Hour Candle Sweep Analysis Lots of people asked for the H4 analysis on the Hourly Stats scenario. So, if an H4 candle breaks the previous candle's high or low what is the probability to return to the current H4 candle's open, within the duration of the current H4 candle? And to what extend does the time of the sweep matter? As expected, the results are similar to the statistics on the H1. If we have the sweep in the first 60 minutes of the new H4 candle we have a very high probability. Especially the 6am candle is interesting with containing the volatility injection at 9:30. I can imagine, if we have not reached the 6am open yet around 9:30 this might be a very reasonable objective and potentially gives you direction. ✅ - 10 years NQ data with M1 as LTF (2015 - 2025)

NQ Statistical edge. For the PM lovers. NY AM : 8am - 12am NY Lunch : 12am - 1pm NY PM : 1pm - 4pm If the PM session sweeps the lunch high or low, there is an over 80% (🤯) probability price returns to the EQ of the lunch range. @NQStats

🔥 ANOTHER BANGER! Tested on 10 years of M1 NQ data. The 9:00-9:20 box setup ✅ Draw high/low box of first 20 minutes (9:00 - 9:20) ✅ Wait for price to touch one side after 9:20 ✅ Check if price returns to opposite side before 10:00 🎯 65% returned to opposite side 🎯 80+% returned to 50% level of the box Follow for more statistical backtests like this 👆 Credits to @BigMouseFS for sparking this idea.

When there is no Hourly Stats setup there is an another very high probability scenario. With the same kind of results, return to the open in general over 80%! Also based around the first 20 minutes of a new hour. Tested on 15 years of NQ data. How?⬇️