CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and finra free credit (margin accounts)'s historical behaviour in similar regimes, the model projects 242,756.55 by 2026-12-31 ( +12.7% from 215,445 today). The 68% confidence range is 225,861.93 to 259,651.17; the wider 95% range is 209,643.1 to 275,870. Methodology below the headline.

Central Estimate
242,756.55
+12.7% vs current 215,445
68% Range (±1σ)
225,861.93 to 259,651.17
95% Range (±1.96σ)
209,643.1 to 275,870
Central estimate uses the unconditional 25-year historical average because current regime buckets had insufficient observations to produce a reliable blend.
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 169-DAY HORIZON. BAND = ±σ√T USING 9.6% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 242,756.55 BY 2026-12-31 (HIGHER FROM 215,445 ON 2026-04-30). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

FINRA Free Credit (Margin Accounts) Forecast 2026

Quantitative analysis from 15 observations of FINRA Free Credit (Margin Accounts) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
FINRA-FREE-CREDIT-MARGIN · LAST
215,445
AS OF 2026-04-30
Percentile · 25Y History
93.3th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y1322.55%10.11%2.2375.0%22.53%
3Y1518.90%9.58%1.9771.4%22.38%
5Y1518.90%9.58%1.9771.4%22.38%
10Y1518.90%9.58%1.9771.4%22.38%
All1518.90%9.58%1.9771.4%22.38%

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]

Percentile Rank
93.3th
175824.00median 194418.00215445.00
Current value 215445.0000 on a 15-observation history going back to Apr 30, 2025.

Worst Historical Drawdown[07]

-2.74%PEAK-TO-TROUGH
Peak Jul 31, 2025 → trough Aug 31, 2025. Recovered to prior peak on Sep 30, 2025 (30 days).
All-time high: 215445.0000 on Apr 30, 2026 · Current DD from ATH: 0.00%

Largest Single-Period Moves[09]

▲ Up
  • Sep 30, 20257.34%
  • Jun 30, 20255.03%
  • Apr 30, 20264.79%
  • Mar 31, 20262.78%
  • Dec 31, 20252.75%
▼ Down
  • Aug 31, 2025-2.74%
  • Jan 31, 2026-1.43%
  • Nov 30, 2025-0.49%
  • Apr 30, 2025-0.19%
  • Mar 31, 20250.06%

Calendar-Month Seasonality[10]

Average single-period return aggregated by the calendar month in which the period ended.

MONTHAVG RETURNHIT %N
January-1.43%0.0%1
February1.59%100.0%1
March1.42%100.0%2
April2.30%50.0%2
May0.50%100.0%1
June5.03%100.0%1
July0.59%100.0%1
August-2.74%0.0%1
September7.34%100.0%1
October0.25%100.0%1
November-0.49%0.0%1
December2.75%100.0%1

N = 15 OBS · GENERATED 2026-05-17 14:00Z

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 Free Credit (Margin Accounts) higher?

The primary drivers that tend to lift FINRA Free Credit (Margin Accounts) 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 Free Credit (Margin Accounts) lower?

The same transmission channels that drive FINRA Free Credit (Margin Accounts) 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 Free Credit (Margin Accounts) 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 Free Credit (Margin Accounts)?

Historical ranges for FINRA Free Credit (Margin Accounts) 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 Free Credit (Margin Accounts) chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the FINRA Free Credit (Margin Accounts) 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.

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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.