TradeAlpha AI TRADING & MARKET RESEARCH PLATFORM
Allocation models

Educational Portfolio Models

Eight illustrative educational allocation models built from covered ETFs, each with the idea it demonstrates, what it gives up, and the constituents behind it.

Educational models

How exposures combine

These are teaching examples, not portfolios anyone is being pointed towards. Each one exists to show how a structural choice changes what a combination holds and what it gives up. The weights are round numbers chosen to make the idea legible.

Nothing here accounts for your circumstances, time horizon, tax residence or existing holdings — the things that actually determine whether any structure fits. TradeAlphaAI does not provide investment advice.
Assumptions

What these models assume

  • Weights are round numbers chosen for legibility, not optimisation output. Nothing here was fitted to historical returns.
  • Every constituent is a fund the Center already covers, so each one links to its own measured evidence rather than being asserted here.
  • No rebalancing schedule, contribution pattern, tax treatment or trading cost is modelled. Those change outcomes materially and depend on the individual.
  • Combined historical return is deliberately not shown: constituents have different observation windows and trading currencies, so a blended back-test would measure that mismatch rather than the structure.
Scope

These are illustrations, not a portfolio

Nothing on this page is connected to any account. Opening it creates nothing, saves nothing and changes nothing. If you keep a portfolio on TradeAlphaAI, it contains only what you entered yourself — a model shown here is never copied into it, silently or otherwise.

There is no best portfolio on this page and no ranking between the models. Each shows a different structural trade-off; which trade-offs matter depends on circumstances this site cannot see.

Models

Eight illustrative structures

Single-fund global

VWCE 100%

What it illustrates: One fund holding developed and emerging markets together. The simplest structure that still spans most of the investable world.

What it gives up: No control over the developed/emerging split, and no bond or commodity component to soften equity drawdowns.

Constituents: VWCE — each with its own verified and awaiting-data status on its research page.

Developed core plus emerging

IWDA 88%EIMI 12%

What it illustrates: A developed-market core held alongside a separate emerging-market fund, so the split between them is an explicit decision rather than an index outcome.

What it gives up: Two funds to hold and periodically rebalance instead of one, and two sets of costs.

Constituents: IWDA · EIMI — each with its own verified and awaiting-data status on its research page.

Global equity with bonds

VWCE 80%BND 20%

What it illustrates: A global equity core with an aggregate bond allocation. The classic structure for reducing the depth of equity drawdowns.

What it gives up: Bonds carry their own interest-rate risk — the bond funds covered here have had deep drawdowns of their own during rate increases.

Constituents: VWCE · BND — each with its own verified and awaiting-data status on its research page.

Global equity with gold

VWCE 85%GLD 15%

What it illustrates: A global equity core with a commodity sleeve. Gold has historically shown low correlation to equities in the measured window.

What it gives up: Gold produces no income and has been more volatile than broad equity indices over the observed period.

Constituents: VWCE · GLD — each with its own verified and awaiting-data status on its research page.

Core and satellite

VWCE 70%XLK 15%SOXX 15%

What it illustrates: A broad, low-cost core surrounded by smaller thematic or sector positions. Illustrates how concentration can be bounded to a fixed share of a portfolio.

What it gives up: The satellites raise the blended cost and add concentrated risk that the core does not offset.

Constituents: VWCE · XLK · SOXX — each with its own verified and awaiting-data status on its research page.

Income-oriented

SCHD 60%LQD 25%VIG 15%

What it illustrates: Dividend-focused equity alongside investment-grade credit, illustrating a structure built around distributions rather than accumulation.

What it gives up: Dividend screens narrow the opportunity set, and distributions may be taxable on receipt depending on where the holder lives.

Constituents: SCHD · LQD · VIG — each with its own verified and awaiting-data status on its research page.

Growth tilt

VWCE 70%VUG 20%QQQ 10%

What it illustrates: A broad core deliberately tilted toward growth-classified equity. Illustrates what a factor tilt does to a portfolio: it concentrates the bet on one style rather than adding breadth.

What it gives up: Growth-classified funds in this universe have shown higher volatility and deeper drawdowns than the broad market. A tilt raises both, and it can underperform the very index it is built from for long stretches.

Constituents: VWCE · VUG · QQQ — each with its own verified and awaiting-data status on its research page.

Defensive

VWCE 45%BND 30%XLV 15%GLD 10%

What it illustrates: A structure weighted toward sectors and instruments whose measured drawdowns have been shallower than the broad market. Illustrates trading expected participation for a smoother observed path.

What it gives up: Defensive positioning has historically lagged in rising markets, and "defensive" describes past behaviour rather than a property that must persist. Bond holdings carry their own interest-rate risk.

Constituents: VWCE · BND · XLV · GLD — each with its own verified and awaiting-data status on its research page.

Blended annual cost is not shown for any model on this page: it requires a verified expense ratio for every constituent, and none of these models has a complete set today. Each model still shows exactly what it holds and in what proportion.

Combined historical return is deliberately not shown for any model: constituents have different observation windows and trading currencies, so a blended back-test would be an artefact of those mismatches rather than a measurement.

TradeAlphaAI ETF intelligence describes observed structure, cost and historical measurement only. It is not a trading signal, execution instruction or investment advice.