The single biggest indicator of how much risk you can take is when you'll need the money and how deep your rainy day fund is. Adjust the sliders below to see where you sit.
Standard guidance: keep 6–12 months of living expenses in cash before putting capital at risk.
Core index ETFs with a sleeve in quality growth and selective thematic exposure.
| Ticker | Trend | Price | 200d MA | vs MA | P/E | PEG | Consensus |
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| Ticker | Trend | Price | 3M Perf | 6M Perf |
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Build multiple equal-weighted portfolios from the stock & ETF universe and compare their historical performance side-by-side. Y-axis shows the total dollar value of holding 1 share/unit of each ticker.
The infrastructure powering AI, electrification, and automation. Each pillar below is a building block — picks-and-shovels exposure to the megatrends reshaping global capital flows.
Batteries & Energy Storage
Lithium-ion, sodium-ion, and long-duration storage (zinc, flow, iron-air) are the backbone of EVs, robotics, and grid firming. As renewables grow and AI datacenters demand 24/7 power, storage becomes a non-negotiable layer of the energy stack. Plays: LIT, FLNC, EOSE.
Robotics
Humanoids (Optimus, Figure), industrial arms (FANUC, Keyence), and warehouse automation are scaling as labor costs rise and AI models become embodied. Robotics is where AI software meets the physical world. Plays: TSLA, ARKQ, PWRD, EWJ.
Datacenters
The factories of the AI era. Hyperscaler capex is running at $300B+/year on land, power, cooling, racks, and silicon. Every AI query touches a datacenter — and demand is outpacing supply. Plays: NBIS, IREN, APH, TEL.
Space
Launch, satellites, and space-based infrastructure are becoming critical layers of the global economy. From small-launch providers to broadband constellations, the space economy is shifting from government-only to commercially viable. Plays: RKLB, ASTS.
Optical Fiber & Networking
AI clusters need 800G/1.6T optics to move data between thousands of GPUs. Optical transceivers, coherent DSPs, and DCI gear are the nervous system of AI compute. Plays: AAOI, CIEN, LITE, AVGO, MRVL.
Sensors
LiDAR, radar, vision, MEMS, and IoT sensors feed real-world data into AI models — from autonomous vehicles to smart factories to satellites. The eyes and ears of the new economy. Plays: TEL, APH.
Semiconductors
The substrate of everything. AI accelerators (NVIDIA, AMD, Broadcom), HBM memory (Micron), and the equipment that builds them (ASML, Lam) are the highest-leverage exposure to compute demand. Plays: AMD, AVGO, MU, ASML, LRCX, AMKR, XSD.
Power Generation
AI datacenter load is projected to consume 8–12% of US electricity by 2030. Nuclear (especially SMRs), gas peakers, solar, and on-site fuel cells are all being signed up by hyperscalers. Plays: VST, NUKZ, BE, TAN.
Energy (Oil, Gas, Uranium)
Natural gas is the bridge fuel powering near-term datacenter buildout. Uranium demand is rising with the nuclear renaissance. Energy independence matters again. Plays: XLE, VDE, XOP, NUKZ.
Utilities & Grid
Transmission, transformers, and smart grid software are the bottleneck for connecting new generation to new datacenter loads. The grid hasn't been built for this load curve — major upgrade cycle ahead. Plays: GRID, FLNC.
Commodities & Materials
Copper for wiring, rare earths for motors, lithium for batteries, silver for solar, gold as macro hedge. The physical inputs to the energy and AI transition. Plays: COPX, REMX, LIT, GDX, BAR.
Automation
Factory automation, warehouse robotics, and AI-driven process control. Reshoring + labor scarcity + cheaper AI = a multi-decade capex cycle for industrial automation. Plays: ARKQ, PWRD, GRID, EWJ.
Why It Matters
These pillars are interdependent: AI needs chips, chips need fabs, fabs need power, power needs grid, grid needs copper, copper needs miners. Owning the stack — not just one layer — is how you get durable exposure to the buildout.
The K-shaped economy: since 2020, the top quartile of households (asset owners) has pulled away from the bottom — wages have lagged asset prices, and consumer spending is increasingly bifurcated. Discount retailers, lower-end restaurants, and credit-sensitive consumer credit are feeling the squeeze; luxury, travel, and premium brands keep printing. Expect more pressure on staples, dollar stores, autos, and subprime lenders as the lower leg of the K weakens.
Why the new economy is largely insulated: (1) AI/datacenter/energy capex is funded by hyperscaler cash flows and sovereign-backed projects, not consumer discretionary budgets. (2) The buyers — Microsoft, Meta, Google, Amazon, governments — are balance-sheet rich and spending through cycles. (3) Power, grid, and semis are supply-constrained, not demand-constrained — the bottleneck is physics and permitting, not wallets. (4) Reshoring and defense spending are policy-driven tailwinds independent of the consumer. The consumer recession risk sits in old-economy retail and credit; the new economy runs on a different fuel source.
Quotes refresh every 60s. Not financial advice.
"The action is the juice."