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M6E Fast Stochastics %K levels on the 10 minute chart — NinjaTrader 8 & MetaTrader 5

Educational reference. Measured from 37 recorded 10 minute sessions of M6E (Micro Euro FX), September 3 to October 23, 2026. Updated as each new session is recorded.

In a typical session the 10 minute Fast Stochastics %K on M6E spends 19.6% of its time above 80, 56.8% between 20 and 80 and 23.6% below 20. It enters the upper zone about 10 separate times per session and the lower zone about 9.

19.6%
of the session above 80 (average)
56.8%
between 20 and 80
23.6%
below 20
Download PredictIndicators.ai — the same Fast Stochastics %K readings live on your own M6E chart in NinjaTrader 8 and MetaTrader 5.

Session by session

Sep 3Oct 23
Each column is one session, oldest to newest. above 80between 20 and 80 below 20

The most extreme sessions

The most time above 80 was on October 14, 2026 (33.3% of the session). The most time below 20 was on September 22, 2026 (38.8%).

Recent sessions against the longer record

Over the last 5 sessions the Fast Stochastics %K spent 18.0% of its time above 80 and 21.3% below 20 — less time in the upper zone than its 37 session average of 19.6%.

What Fast Stochastics %K is measuring here

The fast line is the unsmoothed version of the same range calculation, so it reaches the extremes far more often than the smoothed %K and leaves them sooner.

The gap between this page's visit count and the smoothed Stochastics page for the same session is a direct measure of how much the smoothing removes.

Every recorded session

SessionAbove 80Between 20 and 80Below 20 Visits upVisits down
Fri Oct 23, 20268.8%66.7%24.5%79
Thu Oct 22, 202615.9%53.6%30.4%813
Wed Oct 21, 202625.4%57.2%17.4%1210
Tue Oct 20, 202619.6%60.9%19.6%1011
Mon Oct 19, 202620.3%65.2%14.5%128
Fri Oct 16, 202627.5%53.9%18.6%103
Thu Oct 15, 202619.6%58.7%21.7%1611
Wed Oct 14, 202633.3%37.0%29.7%139
Tue Oct 13, 202625.4%66.7%8.0%188
Mon Oct 12, 202613.8%54.3%31.9%413
Fri Oct 9, 202614.7%54.9%30.4%610
Thu Oct 8, 202617.4%69.6%13.0%136
Wed Oct 7, 202613.0%68.1%18.8%612
Tue Oct 6, 202621.0%52.2%26.8%77
Mon Oct 5, 202630.4%52.2%17.4%108
Fri Oct 2, 202622.5%53.9%23.5%1012
Thu Oct 1, 202617.4%50.7%31.9%513
Wed Sep 30, 202617.4%51.4%31.2%914
Tue Sep 29, 202616.1%45.3%38.7%815
Mon Sep 28, 20267.4%72.1%20.6%516
Fri Sep 25, 202628.4%52.0%19.6%128
Thu Sep 24, 202616.7%63.0%20.3%107
Wed Sep 23, 20265.8%63.0%31.2%419
Tue Sep 22, 202620.9%40.3%38.8%46
Mon Sep 21, 202614.7%61.0%24.3%910
Fri Sep 18, 202629.4%52.0%18.6%75
Thu Sep 17, 202620.3%65.2%14.5%117
Wed Sep 16, 202613.8%52.2%34.1%1112
Tue Sep 15, 202619.0%55.6%25.4%1313
Mon Sep 14, 202624.5%37.2%38.3%28
Fri Sep 11, 202618.1%56.4%25.5%311
Thu Sep 10, 202614.3%55.6%30.1%713
Wed Sep 9, 202626.5%57.4%16.2%117
Tue Sep 8, 202624.6%55.1%20.3%128
Mon Sep 7, 202621.3%61.8%16.9%147
Fri Sep 4, 202618.4%65.0%16.5%94
Thu Sep 3, 202622.3%62.6%15.1%129

M6E Fast Stochastics %K level questions

How often is M6E Fast Stochastics %K above 80 on the 10 minute chart? Across the 37 recorded sessions from September 3 to October 23, 2026, the 10 minute Fast Stochastics %K on M6E sat above 80 for 19.6% of the session on average, entering that zone about 10 separate times in a typical session.

How much of the session does M6E Fast Stochastics %K spend below 20? On average 23.6% of each 10 minute session, over a median of 9 separate visits. The most was 38.8% on September 22, 2026.

Is there a Fast Stochastics %K indicator for NinjaTrader 8 and MetaTrader 5 that shows these levels? These readings come from the PredictIndicators.ai feed, which runs on NinjaTrader 8 and MetaTrader 5 and plots the same Fast Stochastics %K on your own M6E chart. PredictIndicators also predicts where the Fast Stochastics %K goes next, up to 30 bars ahead, on the same chart.

Questions traders ask

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MetaTrader predicted stochastic crossover for M6E PredictIndicators brings predicted candles to MetaTrader 5: the next 30 M6E bars appear on your MT5 chart and update in real time. A prediction is an estimate, not a certainty. MetaTrader 5 price prediction indicator →

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