Ray Dalio says his bubble gauge has reached the 77th percentile, its closest approach yet to the 1929 and 2000 peaks.

Ray Dalio while giving a speech at the 10th anniversary celebration of charity Grameen America. Metropolitan Museum of Art, September 23 2017.

Ray Dalio has flagged that Bridgewater Associates’ proprietary bubble gauge now sits at the 77th percentile, according to his recent public remarks. That reading places the current U.S. equity market closer to the conditions that preceded the 1929 and 2000 crashes than at any other point in the gauge’s modern history. The signal arrives while short-term policy rates remain elevated and long-term bond yields are climbing, a combination that pressures the valuation math underpinning stock prices.

How rising yields feed Bridgewater’s bubble reading

The tension behind Dalio’s warning is mechanical, not just rhetorical. Bridgewater’s framework weighs several inputs, among them the gap between expected stock returns and bond yields, the pace of new equity issuance relative to economic output, and the degree to which buyers are using leverage. When long-term rates rise faster than the policy rate, the discount rate applied to future corporate earnings increases, which compresses equity valuations even if profits hold steady. The 10-year Treasury yield published by the Federal Reserve Bank of St. Louis through FRED captures this dynamic in real time, and the series has shown upward pressure through mid-2026.

At the same time, the federal funds benchmark, also published by the Federal Reserve Bank of St. Louis, anchors the short end of the curve. When the spread between the 10-year yield and the fed funds rate widens, it signals that bond investors are demanding more compensation for duration risk. That repricing forces equity analysts to mark down the present value of growth stocks, the same category that dominated the late-1990s bubble. If the spread continues to widen, Dalio’s gauge would face upward pressure on at least two of its known components: the stocks-versus-bonds comparison and the discount-rate adjustment.

Bridgewater has also referenced total IPO proceeds as a share of GDP when constructing its gauge, a ratio that captures speculative appetite for new listings. The U.S. Bureau of Economic Analysis publishes the GDP figures through its National Income and Product Accounts tables, supplying the denominator for that calculation. A sustained rise in IPO volume against a stable or slowing GDP would push the issuance component higher, adding to the overall percentile score. Although the IPO series itself is not publicly standardized in the same way as GDP, the logic is straightforward: more equity being sold to the public at high prices, relative to the size of the economy, tends to coincide with late-cycle enthusiasm.

Another cross-check on the environment Dalio is describing comes from the shape of the U.S. Treasury yield curve. The U.S. Department of the Treasury publishes daily data across maturities, and the yield curve tables for mid-2026 show how rates have risen across the spectrum. A curve that shifts higher while remaining relatively flat or only modestly steep means investors face higher borrowing costs without a commensurate increase in expected long-run growth. That combination tends to weigh on asset valuations, particularly for equities whose cash flows lie far in the future.

What the 77th-percentile reading can and cannot tell investors

Dalio’s comparison to 1929 and 2000 is striking, but the available evidence has clear limits. No primary Bridgewater document publicly discloses the exact component weights, the historical time series of the gauge itself, or the precise thresholds that separated the pre-crash readings from periods that resolved without a major downturn. The 77th-percentile figure comes from Dalio’s own characterization rather than from a dataset that outside analysts can independently replicate.

The FRED series for the fed funds rate and the 10-year yield confirm the direction of the rate environment Dalio describes, but they contain no built-in gauge values for 1929 or 2000 that would allow a direct apples-to-apples comparison. Similarly, while BEA data provides GDP, it does not include an IPO issuance series, meaning the normalized metric Bridgewater references cannot be fully reconstructed from public government sources alone. Analysts can approximate some relationships by combining public rates, valuation multiples, and issuance statistics from market databases, but those reconstructions will inevitably diverge from Bridgewater’s proprietary methodology.

That opacity makes interpretation crucial. A 77th-percentile reading does not mean a crash is imminent or inevitable; historically elevated conditions can persist for long stretches as earnings grow into valuations or as policy settings adjust. What it does signal is that, according to Bridgewater’s framework, several risk factors are simultaneously skewed toward the frothier end of their historical ranges: high prices relative to fundamentals, generous issuance conditions, and a rate backdrop that is less forgiving than in typical expansion phases.

For investors, the practical takeaway is probabilistic rather than predictive. Dalio’s remarks suggest that future equity returns from current levels may be lower and more volatile than in periods when the gauge sat near its median. Portfolio decisions in that context tend to focus on diversification, sensitivity to interest rates, and exposure to leverage, rather than on binary calls about whether a crash will occur. Because the underlying series used in the gauge-policy rates, bond yields, and economic output-are all observable in real time, market participants can at least monitor the same directional pressures that feed into Bridgewater’s assessment, even if they cannot see the proprietary score itself.