Code	Company Name	Entry Date	Closing Price (USD) (As per Entry Date)	Current Portfolio Weights(%)	Amount Invested (USD)	Support	Resistance
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XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
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XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX
XXX	XXX XXXX XXXXXXX	XX-XX-XXXX	X.XX	XXXX.XX	XX.XX %	XXXX	XXXX

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Every industrial transition has been settled by whoever controlled its scarcest input. For artificial intelligence, that input is electricity — and the physical chain that carries it from a generating asset to a running processor. Kalkine identifies ‘Grid-to-Chip’ to be an opportunity area for growth-oriented audiences seeking exposure to AI infrastructure, as a general advice only.

Grid-to-Chip is a pre-built or ready-made portfolio of selected stocks spanning the AI power supply chain, reviewed on a regular basis based on specific pre-determined quantitative parameters.

What you get?

Exposure to a concentrated pool of mid, large, and selective small capitalization stocks across the AI power chain — generation, grid and electrical infrastructure, computer hardware, AI systems, cooling servers, and thermal management.
Strategy

Typically, Buy and Hold stocks for a period of up to 3 years or less with mid to high risk, across businesses linked by a single structural demand driver.
Asset Type

Listed-Equities on NASDAQ/NYSE Stock Exchange Stock Exchange
Objective

The goal is to identify companies supplying the binding constraints of the AI build-out — power, electrical equipment, servers and cooling — which may become leaders or game changers in times to come.
Stock Selection Approach

This model portfolio is constructed on the goal of a concentrated, structurally driven thematic portfolio across five sleeves: power generation and next-generation nuclear, small modular reactors and the nuclear fuel cycle, electrical infrastructure and power technology, AI servers and computer hardware, and thermal management and cooling. Inclusion is driven by revenue visibility (order backlog, book-to-bill, contracted capacity), strong fundamentals (revenue growth and EBITDA margins), favorable valuation metrics (EV/Sales, EV/EBITDA) and lower leverage ratios. A capped allocation is reserved for pre-revenue names, assessed on cash runway, regulatory progress and signed commercial agreements.
Target Audiences

Individual with mid-term to long-term (up to 3 years) with medium-to-high risk appetite, seeking thematic exposure to AI infrastructure rather than direct large-capitalization technology exposure.

Thematic sleeve allocation

(Power generation and next-generation nuclear, small modular reactors and nuclear fuel cycle, electrical infrastructure and power technology, AI servers and compute hardware, thermal management and cooling.)

Selection Universe

(NASDAQ/NYSE-listed stocks covering a broad range of market capitalisation above USD 300 million, with higher trading volume, liquidity, and free float thresholds applied.)

Stock Screening*

(Financial metrics (Revenue Growth, EBITDA Margin, Order Backlog and Book-to-Bill), leverage metrics (Debt/Equity, Net Debt/EBITDA) and valuation metrics (EV/Sales, EV/EBITDA), and Technical Indicators (RSI, Moving Average, Volumes)).)

Periodic Portfolio Monitoring

(Hyperscaler capital expenditure guidance, NRC licensing milestones, utility rate cases, interconnection approvals, contract awards, news, corporate events and macro-economic changes.)

Periodic Portfolio Rebalancing

(For any change in sleeve allocation, or where the constraint shifts along the chain.)

Source: Kalkine Group

*For stock selection, a set of quantitative criteria have been defined and measured. On the stock screening front, fundamental metrics such as revenue growth, EBITDA margin, order backlog and book-to-bill, Debt to Equity ratio (leverage) and Net Debt to EBITDA are looked at over year-on-year and the last 2 years. Pre-revenue holdings within the small modular reactor and emerging power technology sleeve are exempt from revenue and sales-multiple criteria, and are instead measured on cash runway, regulatory filing status, signed orders or letters of intent, and share count dilution over the trailing twelve months.

Guidelines

10stocks weighted equally.Few stocks may be held from the pre-revenue small modular reactor and emerging power technology sleeve.

At a Glance

Benchmark Index
S&P 500 Index
Rebalance Frequency
As per the company specific event
Last Rebalance
21-08-2026
Next Rebalance
Tentative (27-03-2027)

View Rebalance

Grid-to-Chip Model Portfolio

User Profile

The Grid-to-Chip Portfolio is appropriate for an individual with a medium-to-high risk appetite and a time horizon of upto 3 years. Market volatility over long period of time may impact returns in short duration. As a concentrated thematic portfolio, holdings are diverse in business model but may move together in price, and the portfolio may experience drawdowns deeper than a diversified index.

Typical Target Audiences for this portfolio may include Individuals having a medium to high risk-taking appetite, who may not be looking for regular income, and who seek exposure to the AI build-out through infrastructure rather than large-capitalization technology names.

Portfolio Monitoring

Periodic depending on the news, events, macro changes, and geopolitical impacts. Specific triggers monitored include hyperscaler capital expenditure guidance, data centre and power purchase agreement announcements, nuclear licensing milestones, utility rate case outcomes, order backlog disclosures and supply chain lead times.

Rebalance Reports

The table below shows the portfolio’s rebalances done till now.

No Reports Available

Introduction to Model Portfolios

Kalkine identifies ‘Model Portfolios’ to be an opportunity area for different types of audiences as general advice only. The Model Portfolio refers to a hypothetical investment tool for selecting a suite of stocks (typically 10-15) based on low, medium, and or high-risk tolerance levels and holding tenure expectations of the target audience.

Model Portfolios are pre-built or ready-made portfolios of selected stocks that are reviewed on a regular basis based on specific pre-determined quantitative parameters.
The different types of portfolios are constructed taking into consideration the varied return and risk profiles of target audiences and the holding tenure expectations (short-term, mid-term, and or long-term).

Grid-to-Chip Model Portfolio Historical Performance

The table below shows the portfolio’s historical performance.

Batch Date

No past data Found!

Invested Amount

USD 10000

21-08-2026

Current Value

USD 10373

28-09-2026

Gain 3.73%

Stocks: 10Since Launch

Stocks Selection From S&P 500 Index