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Confirmed on 5 Oct 2026Completed-candle evidence

Jaykay Enterprises Limited (JAYKAY)

6-month first weekly breakout with 7.7x signal-week volume.

Signal-date chart

What the breakout looked like when confirmed

Weekly or monthly candles · previous high marked · no future candles
Candle interval
JAYKAY 6-month weekly breakout evidenceRs 103Rs 149Rs 194Rs 240Rs 286PREVIOUS WEEKLY HIGH · Rs 2201 Dec 2025 · 44 weeks before breakBREAKOUT CLOSE · Rs 231 · +4.9%5 Oct 2026 · first completed-week close aboveWEEKLY VOLUMEDec 25Feb 26May 26Jul 26Oct 26
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Previous weekly high
₹219.70
Signal close
₹230.50
Breakout margin
+4.9%
Signal volume
7.7x
10-week average
₹173.57
40-week average
₹165.60
Why it qualified

Objective confirmation checks

Price
The completed week closed 4.9% above the old weekly high of ₹219.70. No intervening week traded above that high.
Participation
Signal-week volume was 7.7x its preceding 20-week average; traded value was 486.0 Cr.
Trend
The 10-week and 40-week averages were ₹173.57 and ₹165.60. These are quality context, not breakout definitions.
History
44 prior weekly candles were available. The broken high occurred on 1 Dec 2025, 44 weeks earlier.
Research context

Company context at a glance

Sector
Financial Services
Market segment
Small cap
U-Score
41/100
Trust score
76/100
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Transparent follow-through

What happened after the signal

Latest 0.0% through 5 Oct 2026
CheckpointStatusCloseReturnBest moveWorst move
1 week (1 weeks)Pending----
1 month (4 weeks)Pending----
3 months (13 weeks)Pending----
Methodology and limitations

Highest stored weekly high in the 6-month resistance window, with no later weekly high above that level before the signal.

The completed signal week closed at least 0.5% above resistance with at least 1.2x its prior 20-week average volume.

Weekly and monthly OHLC candles through the signal date; the previous high and breakout close are explicitly marked.

Follow-through uses stored weekly closes after 1, 4, and 13 completed weeks. Excursions use weekly highs and lows.

Charts use the source-normalized OHLCV stored in history_weekly; duplicate rows in a calendar week are consolidated before calculation.

A breakout is a research prompt, not a prediction, target, recommendation or assurance of follow-through.