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BUY Data Patterns (India) Limited — Akshay Bhagwat, JM Financial

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

byAkshay Bhagwat, JM FinancialHorizon: 1–3 months26 Aug 2026via Business Today

Entry₹4,789Inferred
Target₹5,400
Total upside +12.76% (call closed)
Stop loss₹4,200-12.30% risk
Exit₹4,20016 Sept 2026, 12:09 pm
Stop-loss hit-12.30%
Follow Akshay Bhagwat for new calls(47% target hit, 45 closed calls)Get alertsWatch DATAPATTNS for new buy/sell callsGet alertsSee 43 active Short-term 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 · 16 Sept 2026
11 supporting7 neutral2 opposing
Supports the BUY call (11)

CRISIL Ratings Limited has upgraded the credit ratings for Data Patterns (India) Ltd, suggesting improved financial health and lower risk.

BSE · Company Update·8 Sept · 1w ago

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Data Patterns: What Can Drive the Defence Stock’s 25% FY27 Growth; Radar, Counter-Drones, or Larger Defence Contracts?

NewsGoogle News·4 Sept · 2w ago

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Data Patterns (India) Limited has received orders worth Rs. 585.76 Crores from Bharat Electronic Limited for procurement of Radar Electronics. The company also announced its order book status as of Ju

BSE · Company Update·21 Aug · 4w ago

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Data Patterns (India) Limited has received new orders or contracts, indicating potential business growth.

NSE · Bagging/Receiving of orders/contracts·21 Aug · 4w ago

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1 advisor has an active long-term BUY call on this stock

Advisor consensus · adjacent horizon·19 Aug · 4w ago

Neutral / worth noting (7)

Data Patterns closes trading window ahead of board meeting

NewsGoogle News·15 Sept · today

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Weighs against the BUY call (2)

Bharat Forge Q3FY26 Results: Net Profit Declines 16.7% YoY Despite Stable Revenue

NewsGoogle News·30 Aug · 2w 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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