AI Prompt Library for Total Stock Market (VTI)

VTI holds roughly 3,900 U.S. equities — from Apple to the smallest Russell micro-cap — making it the broadest single-ticker exposure to American economic output available. Despite that simplicity, most retail investors analyze VTI with nothing more than a 1-year return chart and a Morningstar star rating. That’s leaving serious signal on the table.

When you’re holding or considering VTI, the questions that actually move your portfolio aren’t ’is the market up?’ — they’re: What is the current earnings yield relative to the 10-year Treasury? How does small-cap drag inside VTI affect expected returns versus SPY? Is now the right time to tax-loss harvest into SCHB? These questions require structured thinking, not vibes. AI can run that structured thinking in seconds — but only if you give it the right prompts.

This page delivers a ready-to-use prompt library built specifically for VTI investors. Every prompt is calibrated to the ETF’s construction, its Vanguard-specific mechanics, and the macro variables that drive total market returns. Use these in ChatGPT, Claude, or any capable LLM to build a repeatable, defensible analysis workflow.

Why VTI Demands a Different Analytical Lens

VTI tracks the CRSP US Total Market Index — not the S&P 500. That distinction matters. The fund’s roughly 17% allocation to small- and mid-cap stocks introduces factor exposure that large-cap-only indexes don’t carry. When the small-cap risk premium is compressing — as it did through most of 2023 — VTI systematically underperforms SPY on a risk-adjusted basis even when both post positive returns.

Understanding VTI’s performance requires separating large-cap beta from the fund’s embedded size and value tilts. Generic ’market analysis’ prompts ignore this. The prompts below are built to surface these distinctions explicitly, so you’re analyzing what VTI actually is, not what people assume it is.

• VTI’s expense ratio is 0.03% — cost drag is negligible, so alpha analysis focuses entirely on allocation and timing
• CRSP total market weighting means mega-cap tech still dominates at ~30% of the index by market cap
• Small- and mid-cap exposure creates meaningful factor variance versus pure S&P 500 indexing
• VTI’s dividend yield runs ~1.3–1.5%, making it less income-focused than dividend-specific ETFs like VYM or SCHD

Valuation Prompts — Knowing When VTI Is Expensive

The most important question any index investor can ask is whether current prices reflect reasonable future return expectations. For VTI, that means looking at the Shiller CAPE ratio for the broad U.S. market, current earnings yield versus real yields on TIPS, and the implied 10-year return forecast using Vanguard’s own capital markets model outputs.

These prompts extract a structured valuation framework from the current macro data. Paste them into your AI tool of choice with current data appended, and you’ll get a calibrated view in under two minutes.

You are a quantitative equity analyst. I am evaluating VTI (Vanguard Total Stock Market ETF) for a long-term allocation decision.

Using the following inputs — [paste current CAPE ratio], [10-year TIPS yield], [VTI trailing P/E], [forward EPS growth estimate for US total market] — do the following:
1. Calculate the current earnings yield and compare it to the real risk-free rate.
2. Estimate the implied 10-year nominal return for VTI using the Gordon Growth Model.
3. Flag whether current valuation suggests overweight, neutral, or underweight versus historical averages.
Be specific with numbers. Do not generalize.

Rebalancing Signals — When to Act on VTI Drift

A common failure mode in total-market investing is treating VTI as a ’set and forget’ position when in fact portfolio drift creates meaningful risk exposure changes over time. If VTI has run hard while your bond allocation has lagged, your actual equity beta is higher than your target allocation suggests — and you’re carrying uncompensated risk.

The prompt below forces a systematic rebalancing check. It’s particularly useful at quarter-end or after major market moves of 10%+ in either direction. Run it before you make any contribution or withdrawal decision involving VTI.

Act as a portfolio risk analyst. My target allocation is [X]% VTI, [Y]% bonds, [Z]% international equity.

My current portfolio values are: VTI position = $[amount], bonds = $[amount], international = $[amount].

1. Calculate current allocation percentages and drift from target.
2. Identify which positions require trimming or adding to restore target weights.
3. Flag any tax-lot considerations if I am in a taxable account — specifically whether harvesting VTI losses into SCHB or ITOT would trigger a wash-sale.
4. Give me the exact dollar amounts to trade to rebalance. Show your math.

Macro Overlay Prompts — Reading the Environment for Total Market Exposure

VTI’s returns are tightly coupled to U.S. nominal GDP growth, Federal Reserve policy, and credit conditions. When the yield curve is deeply inverted and ISM Manufacturing is below 48, the forward 12-month return distribution for VTI skews negative — not catastrophically, but enough to inform position sizing decisions. That context rarely appears in standard ETF research.

Use this prompt to build a macro regime assessment before making a significant VTI allocation change — either adding a lump sum, deploying a bonus, or shifting funds from international exposure.

You are a macro strategist. Assess the current environment for U.S. total market equity exposure via VTI.

Inputs: [paste current: Fed Funds rate, 2s10s yield curve spread, ISM Manufacturing PMI, Core PCE YoY, trailing 6-month VTI return].

1. Classify the current macro regime: expansion, late-cycle, contraction, or recovery.
2. Based on historical analog periods with similar macro inputs, what has VTI's average forward 12-month return been?
3. Does the current regime favor large-cap (SPY) over total market (VTI) or vice versa, and why?
4. Give a concrete position-sizing recommendation: full weight, reduce 10–20%, or hold.

Risk and Drawdown Analysis Prompts

VTI’s maximum historical drawdown is approximately 55% — the 2008–2009 financial crisis. Its average drawdown recovery time from peak to new high across bear markets is roughly 3.5 years. These numbers matter for position sizing, especially for investors within 10 years of a liquidity event like retirement.

The following prompt runs a drawdown stress test tailored to VTI’s actual historical return distribution. It’s more useful than generic ’what if the market drops 20%’ calculators because it accounts for sequence-of-returns risk over a defined horizon.

Act as a portfolio stress-test analyst. I hold $[portfolio value] in VTI with a [X]-year investment horizon.

1. Model three scenarios: a 2000–2002 style drawdown (49%), a 2008–2009 style drawdown (55%), and a 2022-style drawdown (25%).
2. For each scenario, calculate: peak-to-trough dollar loss, estimated recovery timeline based on historical VTI CAGR of 7% real, and portfolio value at my horizon date assuming recovery.
3. Identify whether my current VTI position size is appropriate given my horizon, or whether a partial shift to shorter-duration assets is warranted.
Use actual numbers throughout.

Tax Efficiency and Wash-Sale Prompts for VTI Holders

VTI is one of Vanguard’s most tax-efficient funds due to its patented ETF share class structure, which allows the fund to purge embedded capital gains through in-kind redemptions. But tax efficiency at the fund level doesn’t eliminate tax complexity at the investor level — particularly for taxable account holders who want to harvest losses without violating wash-sale rules.

The IRS wash-sale rule prohibits repurchasing a ’substantially identical’ security within 30 days. The question of whether SCHB or ITOT qualifies as substantially identical to VTI is genuinely unresolved — different tax advisors take different positions. The prompt below structures that analysis so you can present a documented position to your tax advisor.

• VTI to SCHB: different index provider (CRSP vs. Dow Jones), broadly similar exposure — most practitioners treat as not substantially identical
• VTI to ITOT: iShares total market ETF, Russell 3000-based — commonly used as a harvest substitute
• VTI to SPY or IVV: narrower universe (S&P 500 only), clearly not substantially identical — safe harvest pair, but changes your factor exposure
• Avoid harvesting VTI into VTSAX (Vanguard Total Stock Market Index Fund Admiral Shares) — same underlying index, almost certainly substantially identical