[TOOL LAUNCH] Free Chrome Extension — Turn Screener.in Data into Institutional-Grade AI Research Prompts | Zero Data Collection | v2.0.0 (US Stocks + Forensic Analysis) Under Review

@karanshah137 — this is a genuinely good structural improvement. The current Investor Panel produces 6 independent assessments in sequence, which is useful but misses the most interesting part of a real investment committee: the
friction between philosophies.

Your three-round structure fixes that:

  • Round 1 (impressions) — establishes each investor’s prior and what they focus on first
  • Round 2 (debate) — where the real signal is; Pabrai and Graham will always challenge what Jhunjhunwala accepts
  • Round 3 (verdicts) — shows whether the debate changed anyone’s mind

The “sharpest philosophical disagreement” mapping at the end is the part I’d highlight most — for any stock, that disagreement is usually the key risk the market is pricing in.

I’m going to incorporate this structure into the next version of the Investor Panel template. If you have a specific stock output you generated with this prompt, would be great to see how the debate played out.

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@karanshah137 — implemented your suggestion and tested it on DMART right away. Here’s what changed:

The old template had 6 investors giving independent sequential verdicts — they never heard each other. Your 3-round structure changes the dynamic entirely. In the DMART run, Round 2 produced 4 live exchanges: Pabrai challenging
Jhunjhunwala on the 7% OPM, Graham challenging Maheshwari on P/B 10.89x, Mukherjea and Andrade reinforcing each other on structural runway. The sharpest disagreement (Graham vs Maheshwari — same P/E 87.2 data point, opposite
conclusions) is now labelled with a framework divergence table showing exactly why balance-sheet-first vs earnings-trajectory lead to a Strong Sell vs Strong Buy from identical numbers.

One thing I’ve pushed the prompt harder on for the next run: forcing at least one position change in Round 3. In this first test nobody moved, which is the one thing a live debate should produce. Will retest.

Thanks for the suggestion — it’s a genuine structural improvement, not just cosmetic.

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@karanshah137 — tested your suggestion on DMART. Here’s what the 3-round format produced:

Round 2 had 4 live exchanges — Pabrai vs Basant on margin of safety, Graham vs Jhunjhunwala on P/B 10.89x, Mukherjea vs Andrade on 1-year profit growth slowing to 5.8%, and Graham vs the room on earnings yield of ~1.1%. The sharpest disagreement (Graham vs Maheshwari) surfaces as a framework table: same P/E 87 data point, Graham reads “overvalued,” Basant reads “acceptable premium” — same number, opposite conclusions.

The One Question the panel couldn’t answer: “How many stores can DMart realistically scale to while maintaining 7–8% OPM?” — that’s the number that determines whether P/E 87 is justified or a trap.

We’re incorporating this into the next version of the extension. Will share when it’s out.

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Finmagine AI Advisor v2.8 — Ask Anything + Manual Peer Selection

Two updates I’ve wanted for a while finally landed in v2.8. Sharing here since both directly address problems I’ve seen discussed on VP.


:speech_balloon: Ask Anything — citation-grounded Q&A on any stock

The existing templates (Comprehensive, Deep Research, etc.) are fixed-format analysis briefs. Ask Anything is different — you type whatever you want to know and the AI answers using only that company’s own concalls and annual
reports, with mandatory source citations (document name + quarter/year).

Some examples I’ve been using:

  • “What has management said about operating leverage — have they committed to any margin targets?”
  • “Has there been any discussion of promoter monetisation or stake dilution plans?”
  • “What are the key risks management themselves acknowledge in annual reports?”

The extension auto-extracts all document URLs from Screener.in (concalls, ARs, credit ratings). When you click Generate, the AI receives a fully structured prompt with the company’s entire document library pre-referenced — it’s
then up to the AI to actually read them. Claude and Gemini Deep Research both read PDFs natively, so they do this well.

Five pre-filled example questions are built in if you need a starting point.


:bullseye: Manual Peer Selection — fix wrong comparables

The Peer Comparison template auto-detects peers from Screener.in’s Peers tab using GICS codes. This often gives bad results — a pharma CDMO might get bulk API manufacturers as peers, a B2B specialty chemicals company gets
commodity peers.

With v2.8 you can now:

  1. Deselect any auto-detected peers that don’t belong
  2. Type in your own NSE codes (comma-separated: AKUMS, WINDLAS, SOLARA)
  3. Generate the comparison with the right peer set

The template then fetches live snapshots (P/E, ROCE, ROE, OPM, D/E, Promoter Holding) for each peer and runs a 4-analyst head-to-head with a pre-filled scorecard table.


The extension is free, no account needed, works on any Screener.in company page. 14 templates total now (10 India, 4 US).

Full feature guide + tutorial: Ask Anything & Manual Peer Selection: Finmagine AI Advisor v2.8.0 | Finmagine
Install from Chrome Web Store: https://chromewebstore.google.com/detail/finmagine-ai-advisor-–-sm/gohgbkplhjbijgnnaoijnnlicbedofce
Landing page (all templates): Finmagine AI Advisor - Free Chrome Extension for Institutional-Grade Stock Analysis on Screener.in

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Finmagine AI Advisor v2.9.0 — Sector & Theme Analysis + Investor Panel Debate

Two new features in this release.


:globe_showing_europe_africa: Sector & Theme Analysis

New template (10th for India). An 8-part prompt that covers the full sector story:

  1. Industry structure & competitive dynamics
  2. Current theme & TAM
  3. Policy & government support
  4. Tailwinds and headwinds
  5. Historical cycle — is this sector cyclical and where are we?
  6. Global analogues — how did China/US/Korea play out?
  7. Risk scenarios if the theme fails
  8. Where does this specific company sit within the theme?

Best with Gemini Deep Research or Claude (both browse BSE/SEBI PDFs natively). Particularly useful for pharma, defence, specialty chemicals, capex-driven cyclicals — any sector where the macro story matters as much as the
company.

Full write-up with example outputs: Sector & Theme Analysis: Finmagine AI Advisor v2.9.0 | Finmagine


:classical_building: Investor Panel — Rebuilt as a 3-Round Live Debate

The old Investor Panel had 6 legendary investors delivering independent reports. This version puts them in a room together.

Round 1 — Opening Statements
Each investor gives their first impression of the company in 2-3 sentences, independently. Must cite one specific number.

Round 2 — The Debate
Investors now react to each other. Direct challenges, named disagreements, philosophy clashes. At least 3 exchanges where frameworks diverge on the same data point. The prompt asks the AI to identify The Sharpest Disagreement —
the one moment where two investors reach opposite conclusions from identical data, and explain exactly why.

Round 3 — Final Verdicts
Each investor’s final position after hearing the debate. Consensus map + where the real disagreement lies.

Every statement throughout must cite a specific number from the company’s actual financials. The output reads like a genuine investment committee transcript rather than parallel monologues.


Install free on Chrome:
https://chromewebstore.google.com/detail/finmagine-ai-advisor-–-sm/gohgbkplhjbijgnnaoijnnlicbedofce

Landing page: Finmagine AI Advisor - Free Chrome Extension for Institutional-Grade Stock Analysis on Screener.in

Four pre-configured AI platforms:

Sir Are there any updates on this trader scans section you shared on Finmagine AI Advisor?
Along with the Small Size of visualization with Finmagine Icon

Hi @karanshah137 — great timing on this question!

On the Trader scans in AI Advisor:
This just went live today. Finmagine Trader v1.6.0 was published to the Chrome Web Store a few hours ago:
https://chromewebstore.google.com/detail/finmagine-trader/ndkonkooaokgngjhjjefnnkdbmhgekkf

With this version, the Trader Signals Ribbon is active on Screener.in — the AI Advisor picks it up automatically and shows which scans your current stock appears in (Stage 2, Near 52W High, VCP Breakout, etc.) right above the
template selector. No configuration needed. If you have both extensions installed, it just works.

The v1.6.0 release also adds background auto-refresh — Trader now fetches scan data every 6 hours in the background even when the popup is closed, so the signals are ready from the moment you open Screener.

On the small “Visualize with Finmagine” icon/button:
That’s the new float button in Chart Builder v2.9.0 — a compact 44×44px circle that expands on hover to show the full label. That version is currently pending CWS review. Should be live within a few days.

Finmagine Trader v1.6.0 — Scanner + Analyst Integration

v1.6.0 is live. One headline feature and one quality-of-life improvement.


:bar_chart: Trader Signals Ribbon in AI Advisor

If you have both Finmagine Trader and Finmagine AI Advisor installed, a signals bar now appears in the AI Advisor panel on every Screener.in page. It shows which of Trader’s 8 scans the current stock qualifies for:

  • :star: All Three (Stage 2 + Near 52W High + High Volume)
  • 🚀 Stage 2 + Near Pivot
  • :chart_increasing: Stage 2
  • :bullseye: Near 52W High
  • :bar_chart: High Volume
  • :gem_stone: VCP Breakout
  • :glowing_star: IPO Breakout
  • :triangular_ruler: 3-Week Tight

The idea: before you send a stock to AI for fundamental analysis, you can immediately see its momentum setup. A stock that’s Stage 2 + Near Pivot + VCP Breakout gets a very different AI prompt conversation than one with no scan hits.

This works via a DOM bridge — Trader writes scan results as a data attribute on the page, AI Advisor reads it. No data leaves your browser.


:stopwatch: Background Auto-Refresh Every 6 Hours

Previously, Trader only fetched scan data when you opened the popup. The signals bar in AI Advisor would show nothing until you manually opened Trader once.

Now Trader runs a background service worker fetch every 6 hours. Scan data is always fresh. The signals bar works from the moment you install both extensions — nothing to configure.


@karanshah137 — this directly answers your question from earlier today. The signals bar is live with this release.

Full write-up with setup screenshots: Your Scanner Meets Your Analyst: Trader v1.6.0 & the AI Advisor Signals Bar | Finmagine

Install Finmagine Trader: https://chromewebstore.google.com/detail/finmagine-trader/ndkonkooaokgngjhjjefnnkdbmhgekkf

Landing page (all tutorials linked): Finmagine Trader - Free Chrome Extension for Indian Stock Momentum Scanning