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Anurag Raina
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Case study

OctaK Edge

Evidence-based stock verdicts for Indian equities, where AI explains but never scores.

Role
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Year
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Status
Live
Live demo(opens in new tab)

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Overview

OctaK Edge is a research tool for Indian equity investors. It turns a stock into a structured verdict built from six weighted evidence components - technicals, momentum, fundamentals, valuation, market context, and news flow - scored across five holding timeframes.

The scoring is deterministic and auditable. AI is confined to explaining a verdict in plain language and never sets or moves the score. When the evidence is thin the product holds back the call rather than guessing, and every pick is logged to a public ledger before the market resolves it.

Why I Built It

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The Approach

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Architecture

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Decisions & Tradeoffs

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Engineering Challenges

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Features

  • Six weighted evidence components - technicals, momentum, fundamentals, valuation, market context, news flow - scored across five holding timeframes
  • My Position evaluation for a stock you already hold
  • Public Edge Ledger: picks logged before the market resolves them
  • Honesty states (Setup Withheld, Confidence Capped) when the evidence is thin
  • English and Hindi; free, Pro, and Founding tiers

Tech Stack

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Results

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Lessons Learned

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Screenshots

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Contact

If you need an engineer who can own it end to end, from the interface to the infrastructure, let's talk.

Email me