Based on current macro regime conditions and finra net margin debt's historical behaviour in similar regimes, the model projects 1,141,485.41 by 2026-12-31 ( +31.1% from 871,000 today). The 68% confidence range is 964,959.93 to 1,318,010.88; the wider 95% range is 795,495.47 to 1,487,475.34. Methodology below the headline.
FINRA Net Margin Debt Forecast 2026
Quantitative analysis from 15 observations of FINRA Net Margin Debt history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 13 | 79.00% | 21.44% | 3.68 | 75.0% | 78.93% |
| 3Y | 15 | 46.31% | 24.75% | 1.87 | 64.3% | 55.87% |
| 5Y | 15 | 46.31% | 24.75% | 1.87 | 64.3% | 55.87% |
| 10Y | 15 | 46.31% | 24.75% | 1.87 | 64.3% | 55.87% |
| All | 15 | 46.31% | 24.75% | 1.87 | 64.3% | 55.87% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Worst Historical Drawdown[07]
Largest Single-Period Moves[09]
- May 31, 202514.34%
- Jun 30, 202511.72%
- Apr 30, 20269.77%
- Oct 31, 20258.64%
- Jan 31, 20267.90%
- Mar 31, 2025-7.97%
- Mar 31, 2026-6.44%
- Apr 30, 2025-5.35%
- Feb 28, 2026-3.45%
- Dec 31, 2025-0.45%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 7.90% | 100.0% | 1 |
| February | -3.45% | 0.0% | 1 |
| March | -7.20% | 0.0% | 2 |
| April | 2.21% | 50.0% | 2 |
| May | 14.34% | 100.0% | 1 |
| June | 11.72% | 100.0% | 1 |
| July | 3.11% | 100.0% | 1 |
| August | 7.61% | 100.0% | 1 |
| September | 5.44% | 100.0% | 1 |
| October | 8.64% | 100.0% | 1 |
| November | 3.47% | 100.0% | 1 |
| December | -0.45% | 0.0% | 1 |
N = 15 OBS · GENERATED 2026-05-18 14:30Z
Forecast Approach
regime implied: The current macro regime classification (Goldilocks, Reflation, Stagflation, or Deflation) dictates the expected direction and magnitude of movement, calibrated against historical regime performance.
Key Drivers & Risks
- •Macro regime
- •Monetary policy
- •Risk appetite
Historical Volatility
Moderate
Frequently Asked Questions
What factors could push FINRA Net Margin Debt higher?▾
The primary drivers that tend to lift FINRA Net Margin Debt depend on the current macro regime. Positioning data reveals what the market is actually doing, as opposed to what it says it is doing. FINRA margin debt peaked ahead of every major bear market cycle of the last 40 years, while extreme readings in the AAII bull-bear spread are classic contrarian signals. CFTC commitments of traders separates speculative from commercial flow, identifying when large specs are overextended in either direction. Convex tracks these drivers live across the Margin & Positioning category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push FINRA Net Margin Debt lower?▾
The same transmission channels that drive FINRA Net Margin Debt higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see FINRA Net Margin Debt heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for FINRA Net Margin Debt?▾
Historical ranges for FINRA Net Margin Debt vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the FINRA Net Margin Debt chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the FINRA Net Margin Debt forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for FINRA Net Margin Debt and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.