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BUY Data Patterns (India) Limited — Ashish Kyal, Waves Strategy Advisors

BUYData Patterns (India) Limited
Data Patterns (India) share price target & all analyst calls

byAshish Kyal, Waves Strategy AdvisorsHorizon: NA (inferred Swing (≤2wk))11 Nov 2026via CNBC Awaaz.

Entry₹4,081Inferred
Target₹4,300
Total upside +5.37% (call closed)
Stop loss₹3,950-3.21% risk
Exit₹4,30013 Nov 2026, 9:55 am
Target hit+5.37%0.00%upside left
Follow Ashish Kyal for new calls(30% target hit, 182 closed calls)Get alertsWatch DATAPATTNS for new buy/sell callsGet alertsSee 5 active Swing calls on DATAPATTNSSee 282 active Swing picks this week

Not investment advice; past performance doesn't guarantee future results. · Public beta — data is auto-extracted and may contain errors.

AI Assessment

Automated market context for this BUY call — facts from public sources, machine-classified. Not investment advice.

Frozen at close · 13 Nov 2026
3 supporting2 neutral1 opposing
Supports the BUY call (3)

3 other SEBI-registered advisors have active swing BUY calls on this stock, all issued in the last 14 days

Advisor consensus · same horizon·13 Nov · today

Broker’s Call: Data Patterns India (Buy)

NewsHbl·11 Nov · yesterday

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Data Patterns reported Q2 and H1 FY27 results with an order book of 2,697.83 crore.

NSE · Press Release·6 Nov · 6d ago

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Neutral / worth noting (2)

Data Patterns (India) Limited reported standalone and consolidated financial results for the quarter and half-year ended September 30, 2026.

NSE · Outcome of Board Meeting·6 Nov · 6d ago

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The company reported its unaudited standalone and consolidated financial results for the quarter and half-year ended September 30, 2026.

BSE · Board Meeting·6 Nov · 6d ago

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Weighs against the BUY call (1)

Data Patterns reported Q2 FY27 revenue of Rs 133.25 Cr, down 56.7% from Rs 307.46 Cr in Q2 FY26. PAT fell 55.3% to Rs 21.97 Cr. The company reported an order book of Rs 2,697.83 Cr.

BSE · Company Update·6 Nov · 6d ago

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Factor classifications are AI-generated from exchange filings, verified news feeds and market data — they can be wrong or incomplete, and are not attributed to the issuing analyst. Verify every factor via its linked original before acting. This is not investment advice.

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