CA
NZ
UK
AU
IND
US
Typically suitable for Mid-Term (up to 3 years and more)
Price: USD 4000/Year
| Code | Company Name |
Entry Date |
Closing Price (USD) (As per Entry Date) |
Current Portfolio Weights(%) |
Amount Invested (USD) |
Support | Resistance |
|---|---|---|---|---|---|---|---|
| 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 |
| 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 |
Enter your details below and get free access right now.
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.
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.
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.
Listed-Equities on NASDAQ/NYSE Stock Exchange Stock Exchange
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.
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.
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.
(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.)
(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.)
(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)).)
(Hyperscaler capital expenditure guidance, NRC licensing milestones, utility rate cases, interconnection approvals, contract awards, news, corporate events and macro-economic changes.)
(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.
10stocks weighted equally.Few stocks may be held from the pre-revenue small modular reactor and emerging power technology sleeve.
S&P 500 Index
As per the company specific event
21-08-2026
Tentative (27-03-2027)
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.
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.
The table below shows the portfolio’s rebalances done till now.
No Reports Available
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.
The table below shows the portfolio’s historical performance.
No past data Found!
Stocks: 10Since Launch
Stocks Selection From S&P 500 Index
This information should not be relied upon as personal financial advice by Kalkine on (i) the stocks or (ii) the use or suitability of the model portfolios. Only an investor knows about their circumstances to make an investment decision. Model Portfolio has been prepared for illustrative purpose only and does not take into account the objectives, financial situation or needs of any particular investor. Accordingly, investors should, before acting on the information, consider its appropriateness, having regard to their objectives, financial situation and needs. Past performance is not necessarily indicative of future performance results. Actual investment returns will vary, and the value of investments can go up or down.
Please wait processing your request...