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Trading · 45 Trades · June 2025 Pattern Mode

When ML signal is too low, Lensiq switches to Pattern Mode automatically

ML confidence sat at 67.2%, not enough to make an exact prediction. Instead of guessing, Lensiq surfaced historical RR averages per segment across 177 trades to guide the decision.

67.2%
Pattern Confidence
ML signal below threshold
64.4%
Pattern Reliability
29 of 45 trades within range
±25%
Tolerance
acceptable deviation from pattern
45
Total Trades
evaluated in this showcase
AI Recommendation

Based on 177 historical trades, Lensiq identified Day as the strongest pattern signal. Monday shows the most consistent RR around 3.71, while Tuesday has the highest average at 4.18 but wider variance.

  1. 1Monday is your most reliable day: patterns held within 25% range most consistently.
  2. 2Tuesday offers higher RR potential (4.18 avg) but expect more variability; treat as a range, not an exact target.
  3. 316 trades fell outside the 25% range; these are outliers where market conditions overrode historical patterns.

By segment

Pattern RR by day of week

Each day's pattern is derived from your full training dataset of 177 trades.

MondayHigh
3.71avg RR

12 trades in training data

TuesdayMedium
4.18avg RR

16 trades in training data

WednesdayMedium
3.58avg RR

5 trades in training data

ThursdayMedium
4.14avg RR

5 trades in training data

FridayMedium
3.64avg RR

7 trades in training data

Formula used

Expected Value by Segment

Segment

Day of Week

Tolerance

±25% of RR

Confidence

67.2%

Matched

29 / 45 trades

All 45 trades

Pattern RR vs what actually happened

Every trade evaluated, showing whether the actual RR landed within ±25% of the historical pattern.

RowDayTypeResultPattern RRActual RRDiffIn Range
4MondayShortLoss3.713.13-0.58
6MondayShortLoss3.713.44-0.27
9MondayShortLoss3.713.44-0.27
18MondayShortLoss3.712.43-1.28
19MondayShortLoss3.713.73+0.02
26MondayShortLoss3.716.40+2.69
37MondayLongLoss3.714.00+0.29
40MondayLongLoss3.713.13-0.58
2MondayShortWin3.714.40+0.69
15MondayShortWin3.713.39-0.32
23MondayShortWin3.714.88+1.17
35MondayShortWin3.714.10+0.39
3TuesdayShortLoss4.183.73-0.45
8TuesdayShortLoss4.182.50-1.68
11TuesdayShortLoss4.184.56+0.38
20TuesdayShortLoss4.183.22-0.96
33TuesdayShortLoss4.182.66-1.52
34TuesdayShortLoss4.187.40+3.22
36TuesdayShortLoss4.184.00-0.18
38TuesdayShortLoss4.183.40-0.78
44TuesdayShortLoss4.1810.83+6.65
45TuesdayShortLoss4.186.40+2.22
1TuesdayLongWin4.182.50-1.68
5TuesdayLongWin4.183.68-0.50
16TuesdayLongWin4.183.68-0.50
25TuesdayLongWin4.183.21-0.97
29TuesdayShortWin4.185.10+0.92
39TuesdayShortWin4.185.00+0.82
27WednesdayShortLoss3.582.86-0.72
12WednesdayShortWin3.587.00+3.42
17WednesdayShortWin3.582.20-1.38
21WednesdayShortWin3.584.00+0.42
31WednesdayLongWin3.583.39-0.19
7ThursdayLongLoss4.142.67-1.47
10ThursdayLongLoss4.143.75-0.39
13ThursdayShortLoss4.143.40-0.74
28ThursdayShortLoss4.144.40+0.26
30ThursdayShortLoss4.143.75-0.39
14FridayLongLoss3.643.00-0.64
32FridayShortLoss3.643.00-0.64
41FridayShortLoss3.644.40+0.76
43FridayShortLoss3.644.60+0.96
22FridayShortWin3.642.00-1.64
24FridayShortWin3.643.20-0.44
42FridayShortWin3.642.00-1.64
In range: actual RR within ±25% of pattern
Out of range: actual RR exceeded tolerance

How it works

Transparency over false precision

1

ML confidence is measured

Every prediction request runs through the model. If confidence falls below the threshold, an exact number would be misleading.

2

Pattern Mode activates automatically

No manual toggle. Lensiq detects low confidence and switches to Pattern Mode, surfacing the historical average for your segment instead.

3

You see context, not a guess

The pattern RR gives you what similar historical trades looked like, so you can set realistic expectations without relying on a shaky prediction.

Pattern reliability of 64.4% means 29 out of 45 trades fell within ±25% of the historical average for that day. This is not a prediction. It is a historical benchmark to guide RR targeting.

Your data has patterns too.

Lensiq finds them, and knows when to surface them instead of guessing. No ML team required.

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