Template 10 • KEI Industries (Wires & Cables) Case Study • Gemini Deep Research • 25 Flashcards
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The Sector & Theme Analysis template did not begin with an internal roadmap item. It began with a message on ValuePickr — India's most active community for fundamental investors — from a user who had been using Finmagine AI Advisor and wanted one more thing.
"@Firstly, working excellently… Secondly, A Feature Request: Can we add a section that studies the selected stock's industry, its sector, and maybe some theme that is currently playing out — for eg the Wires & Cables sector is on boom right now. If we can get these insights… it would be great!"
The request was specific. Not more financial ratios. Not a different visualization. The community member wanted the macro context that experienced investors always layer on top of company analysis: What is driving the sector? How large is the opportunity? How far into the cycle are we? The request also came with a perfect test case already baked in: KEI Industries and the Wires & Cables sector.
Template 10 was built, tested on KEI Industries with Gemini Deep Research, and shipped in the same session on March 15, 2026. The output ran to several thousand words of cited sector intelligence — TAM projections backed by industry data, a policy matrix with specific budget allocations, a China analogue with peak valuations, and a final verdict on whether KEI is a company-specific buy or a theme-ride. All of it from a single prompt on a Screener.in page.
The existing templates in Finmagine AI Advisor — Comprehensive, Risk-Reward, Deep Research — are built around company-specific data. They analyze the P&L, the balance sheet, the cash flow history, management track record, governance flags, and competitive positioning within the peer group. This produces exceptional company analysis.
But experienced investors always ask a second set of questions that no company-centric template can answer well:
These questions cannot be answered from a P&L spreadsheet. They require live web research, policy document reading, historical pattern matching, and international precedent analysis. That is exactly what Gemini Deep Research does best — and exactly what Template 10 is designed to extract.
Is this a well-run company? Are financials healthy? What is the valuation? Is management credible? What are the governance risks?
Is the tailwind real and large? How far into the cycle? What breaks the thesis? What did this look like in China in 2005? What is government spending on this sector in FY27?
Company excellence + sector tailwind = high-conviction position. Sector Analysis resolves the most common uncertainty: "Even if the company is good, am I buying at the wrong part of the cycle?"
Template 10 instructs the AI to produce a structured eight-part sector brief. Each part has a defined scope and expected output format. The structure mirrors how institutional equity research teams build sector initiation reports — but it runs in 5–10 minutes instead of three weeks.
Template 10 is unique among all Finmagine AI Advisor templates in one critical dimension: the financial data extracted from Screener.in is NOT the primary input. It provides company context — what the company's revenue is, what segment it operates in, basic financials — but the core output (TAM, policy budget numbers, global analogues) must come from live web research.
| Platform | Recommendation | Why |
|---|---|---|
| Gemini Deep Research | ⭐ Strongly Recommended | Browses live sources, reads PDF reports, cites everything. TAM data, policy documents, and global analogues are always current. Produces structured multi-part reports by design. |
| Perplexity | Good | Live web research with inline citations. Suitable alternative when Gemini Deep Research is not accessible or when faster turnaround is needed. |
| Claude | Usable | Relies on training data cutoff. Strong instruction-following, so the 8-part structure will be respected. Works best for well-established industries where recency matters less. |
| ChatGPT | Usable | Similar to Claude without live browsing. Works but TAM figures and policy allocations may be outdated. Use with Browse mode enabled if available. |
Every other Finmagine AI Advisor template is built around a central insight: Screener.in has already extracted the hard-to-find data (concall transcripts, annual report links, 10 years of financial tables, peer comparisons). The AI's job is to analyze that data with precision and structure.
Template 10 inverts this logic. The financial data is context only. The AI's primary job is to go out, find current sector data, read policy documents, identify historical patterns, and synthesize global precedents — all within a structured 8-part framework. This is exactly what Gemini Deep Research was built for. It will browse industry reports, Ministry of Power budget documents, sector profiles, and international equity research archives, then synthesize and cite them.
Using a training-data-only AI for Template 10 will produce answers that are structurally correct but factually dated. A TAM figure from a training snapshot for a fast-moving sector like wires & cables or data centers is misleading, not helpful. The live research directive is non-negotiable for maximum output quality.
To demonstrate Template 10 in action, we ran it on KEI Industries Ltd (NSE: KEI) using Gemini Deep Research on March 15, 2026. The output took approximately 7 minutes to generate. What follows are the key findings from each part of the 8-part framework.
India needs to add >300 GW of solar + wind capacity by 2030. Each GW of solar requires ∼14,000–18,000 km of DC cable. The transmission backbone to evacuate this power requires EHV cables where KEI has a proven track record. Power Grid Corporation order book at a 5-year high as of Q3 FY26.
India housing starts at a 12-year high in FY25. Premium residential and commercial construction uses significantly more cable per square foot than affordable housing. KEI's retail/housing segment contributes ∼30% of revenue and benefits disproportionately from the premium real estate mix shift. Wiring cable volumes grew 18% YoY in H1 FY26.
India data center capacity additions of ∼1,500 MW planned over 2025–2027. Each MW requires ∼₹2–3 Cr of specialized power cables. KEI's Sanand facility (Gujarat) is specifically positioned to serve data center and industrial park cable demand — an entirely new end-market that was not material to the sector 5 years ago.
Copper is 60–65% of cable raw material cost. A sharp copper price drop creates inventory de-valuation losses and revenue decline even with stable volumes. Severity: Medium — working capital impact is cyclical, not structural, but near-term earnings can be materially affected.
Multiple players are simultaneously expanding capacity. If demand growth decelerates while supply additions come online simultaneously (2026–2028 window), pricing pressure could compress EBITDA margins by 150–200 bps. Severity: Medium — timeline-dependent.
Post-election fiscal consolidation could delay RDSS and transmission scheme disbursements. A 20% delay in government cable orders would reduce institutional segment revenue by 8–10%. Severity: Low-Medium — private sector demand remains intact, but order book momentum could slow.
| Country | Period | Narrative | Peak Valuations | Lesson for India |
|---|---|---|---|---|
| China | 2000–2015 | 7× electricity demand growth over 15 years driven by manufacturing boom, urbanization (400M people), and grid modernization. Local champions (Hengtong, TBEA) and global players benefited enormously. | PE 40–50× at peak (2007). 28.7% CAGR for top cable manufacturers at sector peak. | India's urbanization curve is earlier-stage than China 2000. The China upcycle had a hard stop when real estate collapsed (2015–16). India's demand is more diversified across end-markets, making a single-trigger collapse less likely. |
| European Union | 2020–present | Offshore wind and HVDC interconnect build-out. Prysmian's offshore cable order book hit a record €6.7B in 2024. Cable manufacturing lead times extended to 3–4 years for specialty undersea cables. Acute supply shortage for HVDC cables. | Prysmian PE expanded from 12× to 28× (2020–2024). | India's green hydrogen and offshore wind ambitions (30 GW by 2030) will create similar HVDC cable demand. KEI is one of two Indian manufacturers with EHV type-testing for 220 kV+. |
| India Delta | 2021–present | India's version of this theme is unique in three ways: (1) It combines energy transition AND real estate upcycle AND manufacturing China+1 simultaneously — not a single catalyst but a multi-vector tailwind; (2) India companies are entering this cycle with clean balance sheets unlike the debt-heavy 2004–2011 expansion; (3) The organized sector market share gain from GST compliance is an India-specific booster with no international parallel. | ||
Template 10 is available for all Indian stocks on Screener.in. Navigate to the company you want to study — the sector brief will be built around that company's sector and the structural theme most relevant to it.
The panel loads automatically after the chart section on any Screener.in page. No popup, no separate tab — it is embedded in your research workflow.
Find Template 10 in the template grid. It carries a 🌎 globe icon and a NEW badge. The card shows the "⭐ Best with: Gemini Deep Research" label to guide your platform choice.
Clicking "Open Gemini" copies the prompt to your clipboard AND opens Gemini in a new tab in a single action. You can also click "Copy Prompt" to paste into any platform manually. For this template, use Gemini Deep Research — not the standard Gemini chat mode.
Gemini Deep Research will begin browsing sources: industry reports, Ministry of Power budget documents, sector profiles, and international equity research. It shows a "Researching…" status while it works. Do not interrupt it — the quality of the output depends on allowing the full research cycle to complete.
The output follows the 8-part framework: industry structure, TAM projection, policy matrix, tailwinds/headwinds, historical cycle mapping, global analogues, bear case scenarios, and company positioning verdict. All major claims will carry source citations.
With v2.9.0, Finmagine AI Advisor has 10 India templates and 4 US/Global templates — 14 in total. Template 10 fills the one gap that remained after all the company-centric templates were built: the macro layer.
The recommended research workflow for a high-conviction position is sequential:
| Step | Template | Question Answered | Best Platform |
|---|---|---|---|
| 1 | Comprehensive Analysis | Is this a good company? Financial health, growth quality, valuation. | Gemini Deep Research |
| 2 | Sector & Theme Analysis NEW | Is the sector tailwind real and durable? How large? How far into the cycle? | Gemini Deep Research |
| 3 | Peer Comparison | Is this the best-positioned company in the sector relative to peers? | Claude / ChatGPT |
| 4 | Forensic Governance | Are there any red flags in RPTs, pledging, earnings call language, or audit observations? | Gemini / Claude |
| 5 | Ask Anything | Verify a specific claim from management with exact citations from concalls and annual reports. | Claude |
| 6 | Investor Panel | How would 6 legendary investors evaluate this? Get a second-opinion stress-test. | Claude / ChatGPT |
You do not need to run all six templates for every stock. The minimum viable research stack for a new position is: Comprehensive (know the company) + Sector & Theme (know the macro) + Peer Comparison (know the relative positioning). For higher-conviction and larger position sizes, adding Forensic Governance and Investor Panel substantially reduces the risk of position-size errors driven by governance blind spots or thesis overconfidence.
| # | Template | Focus | Best AI |
|---|---|---|---|
| 1 | Comprehensive Analysis | 360° Five-Parameter assessment + unit economics | Gemini Deep Research |
| 2 | Risk-Reward Analysis | Bull / base / bear scenarios, downside protection | Claude / ChatGPT |
| 3 | Management Quality | Capital allocation, governance, concall intelligence | Gemini Deep Research |
| 4 | Quarterly Deep-Dive | Latest quarter trends, near-term outlook | Claude / ChatGPT |
| 5 | Deep Research | 9-part forensic with PDF document reading | Gemini Deep Research |
| 6 | Forensic Governance | RPTs, pledging, earnings call language, CARO | Gemini / Claude |
| 7 | Peer Comparison | Auto-fetched sector peer data, 4-analyst scorecard + Manual Peer Selection | Claude / ChatGPT |
| 8 | Investor Panel | 6 legendary investors debate the stock independently | Claude / ChatGPT |
| 9 | Ask Anything (AMA) | Type any question, AI answers with FINDING citations from concalls and annual reports | Claude |
| 10 | Sector & Theme Analysis NEW | 8-part macro-thematic brief: TAM, policy, historical cycles, global analogues, bear cases | Gemini Deep Research |
Click any card to reveal the answer. Use the search box to find specific topics. Covers the 8-part framework, KEI Industries case study, Gemini Deep Research recommendation, and key sector data points.
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