TSLA · Q2 · 2026 · DELIVERIES
Market Price
460k
30d Change ▲ +66,800 (+17.0%)
Impl. Vol
Maturity 68 days
Margin Regime 5-Day P99 VaR
Underlying
Tesla Vehicle Deliveries
Contract Range
300,000 – 600,000 units
Settlement Source
SEC EDGAR 10-Q Filing
Maturity Date
Jul 2, 2026
Open Interest
$4.17M
24h Volume
$847K
Exchange
CFTC-Regulated DCM
Settlement Scenario · Drag to simulate final settlement price — P&L updates live
460,000
Simulated settlement price (delivery units)
Total Portfolio P&L
0 Contract range: 300k – 600k 1,000k
⚠ Settlement outside contract bounds — P&L capped at range limits
Place Order TSLA-Q2-2026-DELIVERIES Range: 300,000 – 600,000 · Matures Jul 2, 2026
300,000 – 600,000 · ±10k per click
Dollar amount at risk · ±10k per click
Contract Range 300k — 600k · hover markers for details
300k Range width: 300,000 units 600k
Market
Scenario
Buy
Sell
Contract Price · 30d TSLA-Q2-2026
Delivery History · 8Q Q3 2024 – Q2 2026
Open Positions 0 trades
Margin Methodology Bounded KPI Futures · Expected Shortfall Margin Quant Guide ↗
How margin is calculated · plain language

1 Measure KPI volatility. Margin is rooted in how much Tesla's actual delivery count has swung quarter-over-quarter. We use however many quarters of history are available (here 8, giving 7 returns). Tesla has ranged from −40% (Q1 2025) to +37% (Q3 2025) in a single quarter.

2 Inflate for limited data. Small samples underestimate true volatility — the most extreme quarters may not have happened yet. We scale the variance up to compensate; the correction automatically shrinks as more history accumulates.

3 Model fat tails + stress-test directly. KPI outcomes have heavier tails than a bell curve: one guidance revision can move deliveries ±30%. We use a distribution that assigns more probability to extreme outcomes, then also directly plug in the worst and best historical quarters plus large hypothetical shocks and take whichever approach gives the higher loss.

4 Expected Shortfall (ES) — average loss in the worst outcomes. We run 12,000 simulations of next-quarter deliveries and compute the average dollar loss across the worst 2.5% of outcomes. This answers "how bad is it on average when things go badly?"

5 Margin approaches max loss as settlement nears. A convergence term starts at 0 when the contract is listed and grows toward the maximum possible loss as settlement nears — because the outcome is no longer uncertain, it is imminent. Combined with the statistical risk from step 4, total margin converges to the maximum possible loss at maturity.

Final Margin Formula · plain language
Convergence term
Grows toward max loss
Starts at zero the day the contract lists. Rises steadily as the settlement date approaches — an unknown outcome that is imminent demands more collateral than one that is distant.
+
Statistical Risk Core
≥ 30% of max possible loss
Derived from KPI volatility history, inflated for small samples, and validated against the worst historical and hypothetical shocks. The floor applies from day one regardless of time remaining.
+
Liquidity add-on
Size penalty
A small extra charge for positions large relative to market depth. Negligible at typical trade sizes — scales up only for unusually large positions.
≤ max loss
σadj (quarterly)
KPI history (n ≥ 2, here 8Q) · c = 4 inflation
Statistical Floor (β × Lmax)
30% of max loss · listing-day base margin
Stress Loss
max loss over historical extremes + ±3.5σ
Active IM · $10k notional
68d remaining
Step-by-step · how the number is computed
1 r_i = (K_i − K_{i-1}) / K_{i-1} quarterly KPI return · n = 8 quarters here, giving 7 returns
2 σ_adj = σ̂ × √(1 + c/n) variance inflation · c = 4, n = 7 → factor = √(1 + 4/7) ≈ 1.26 · σ_adj ≈ 33%
3 riskCore = β × L_max statistical floor · β = 0.30 → floor of 30% of L_max; riskCore = max(β × L_max, StressLoss)
3 StressLoss = worst loss over {r_min, r_max, ±λ·σ_adj} λ = 3.5 · worst of historical extremes and ±3.5σ shocks
4 convergenceTerm = L_max × (1 − e^{−k·(1−τ)}) k = 1.5 · τ = days_left / 182 · 0 at listing, grows toward L_max at maturity
5 IM = convergenceTerm + max(riskCore, StressLoss) + γ·(Q/D)·L_max Q = order notional ($) · D = $500k market depth · γ = 0.05 · add-on negligible at normal sizes
IM ≤ L_max hard cap — margin can never exceed L_max
Days to Maturity — margin rises as settlement approaches
68 days remaining
Listed — riskCore dominant ↑ converging → Maturity — IM = max loss
Margin Illustration Over Time
BUY @ 460k · $10k notional · Trade date Jan 15, 2026 · Req Balance = Fwd Risk · Acct Balance = Total Posted + Cum P&L
Illustrative
Each day, the contract is marked to market and variation margin (VM) — the daily P&L — is settled in cash between the two parties. The account balance is the total cash on deposit (initial posting + any VM calls received). A VM call occurs when that balance falls below the required balance (the forward risk from the current contract price); the holder must deposit the shortfall the same day. Because the contract's payoff is bounded, total deposits are capped at Lmax — the maximum possible loss at the trade price.
Required Balance Total IM deposited Account Balance VM Call Lmax cap Contract price (right axis)
Day-by-Day Breakdown
Date Days Left Price Lmax Live Conv Term Risk Floor Req Balance Total Posted Cum P&L Acct Balance VM Call