iQ ETF Inflation Hedge Model

Investment Strategy

The iQ ETF Inflation Hedge Model is built for investors who want meaningful protection against rising inflation without abandoning the potential for capital appreciation. Rather than simply buying and holding a basket of inflation-sensitive assets, the strategy applies monthly technical signals to each of ten inflation-linked ETFs — spanning gold, silver, crude oil, gasoline, base metals, real estate, TIPS, mortgage-backed securities, Bitcoin, and large-cap value stocks — and moves to cash when the signals say to. The result is an inflation hedge that is active, not passive, and only owns what the market currently supports owning.

Investment Process

The model allocates up to 10% of the portfolio to each of ten inflation-sensitive ETFs. Each ETF is governed by four independent technical strategies, and each strategy represents 2.5% of the total portfolio. At any given month, each 2.5% slice is either invested in its assigned ETF or held in a money market equivalent (BIL), depending entirely on whether its specific signal conditions are met. The ten ETFs and what they represent are:

• GLD — Gold Bullion

• SLV — LBMA Silver

• USO — WTI Crude Oil

• UGA — Unleaded Gasoline

• DBB — Base Metals

• IYR — Real Estate (via REITs)

• TIP — Treasury Inflation Protected Securities (TIPS)

• MBB — Mortgage-Backed Securities

• GBTC — Grayscale Bitcoin Trust

• IVE — U.S. Large Cap Value Stocks

Each ETF's four strategies combine entry and exit signals drawn from a range of technical indicators — including stochastic oscillators, money flow index, on-balance volume moving averages, Aroon indicators, median price comparisons, and relative strength measures. The signal sets are tailored to each asset class rather than applied uniformly, reflecting the different price behavior characteristics of commodities, real assets, and equities. A monthly rebalance determines which positions are active and which revert to cash, keeping the model current without excessive trading.

Potential Benefits

The ten ETFs in this model are not chosen arbitrarily — they collectively cover the broadest practical range of inflation hedging mechanisms available in a liquid, exchange-traded format. Hard assets like gold, silver, crude oil, and base metals have historically moved with inflation directly. TIPS and mortgage-backed securities provide fixed income exposure with inflation-linked characteristics. Real estate and large-cap value stocks offer equity participation with real asset underpinnings. Bitcoin represents a newer but increasingly recognized store-of-value asset. Together they form a genuinely diversified inflation hedge across commodities, real assets, and inflation-linked securities.

What distinguishes this model from a simple inflation ETF basket is the technical timing layer applied to each position. Rather than maintaining static exposure to every asset regardless of its current price behavior, each 2.5% slice only deploys capital when its specific signal conditions are favorable. This means the model can be fully invested across all ten ETFs in a strong inflation environment, partially invested when signals are mixed, or largely in cash when inflation-sensitive assets are broadly under pressure. The granularity of four independent strategies per ETF is particularly important — it avoids the all-or-nothing problem of single-signal models and allows each asset's allocation to step up or down incrementally as more or fewer of its signals confirm.

The money market fallback is an underappreciated feature. When inflation hedges are not working — which happens during deflationary shocks or risk-off environments — the model does not force exposure. Capital that would otherwise be sitting in a declining commodity position moves to BIL, preserving it for redeployment when conditions improve.

Potential Risks: Inflation-sensitive assets can be highly volatile, and even a technically disciplined entry process cannot eliminate the risk of sharp drawdowns in individual positions — particularly in commodities and Bitcoin, which can move violently in short periods. The monthly rebalance cadence means the model cannot react to intra-month deterioration, and a signal that looks valid at the start of the month may be offside by its end. GBTC in particular introduces regulatory and custody risk that is distinct from the other ETFs in the universe. Finally, in a deflationary or disinflationary environment, even the most technically well-timed inflation hedge will face persistent headwinds across most of its constituent assets simultaneously.