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Static vs. Dynamic: The Test the Shield Only Half-Passed

Simulated results — no real money. Every figure below is computed from historical price data by a backtest. No capital was invested and no orders were placed. Backtests apply a strategy to the past with full knowledge of how that period turned out, and the figures exclude slippage and liquidity effects, though a simulated 0.1% exchange fee is charged on every rebalance, DCA buy and redeployment. Simulated and past performance is not a reliable indicator of future results. AQMath is software, not investment advice.

Date: 2026-08-12 Engine: Aegis (v14) Deleverage Shield — the same code that runs in production, unchanged Status: Gates 2/4 — Shield wins protection (MaxDD, Calmar) but loses the return gates: a robot-rebalanced 60/40 beats it on Sharpe and doubles its final equity · 30 seeds per behavioral scenario


Read this in 60 seconds

Vocabulary used below: MaxDD (maximum drawdown) — how far the portfolio falls from its highest point. Sharpe — return earned per unit of risk; higher is better. Calmar — annualized return divided by MaxDD; reward per unit of pain sat through.

1. Objective

If the Shield does not beat a simple strategy — hold X% in crypto, (100−X)% in stablecoin — then all of its complexity is unnecessary. That is the cleanest possible test of added value, and it was the second crown test on the plan.

One lesson from the Human Factor series shaped the design: a robot competitor is not a real competitor. The previous tests modeled human error as mechanical randomness; the human themselves — fear, panic, giving up — never entered the test. A static 60/40 that never flinches through a 60% drawdown is the strongest possible version of the alternative. Beating only that version proves little; beating it and the human version is actual evidence.

One asymmetry is stated up front, not hidden: static allocations have zero operational surface — no signals to miss, nothing to execute late. The Human Factor series measured exactly that price on the Shield side. This comparison is therefore protection per unit of discipline required, and the article says so out loud.

2. Design

Everything shares the same inputs: basket ADA, BNB, ETH, XRP, SOL (equal-weight risky sleeve), 2020-04-10 to 2026-07-04 (6.2 years, two bear cycles), $1,000 start, $100 every 30 days perfect DCA, 0.1% fee per trade, stablecoin earns zero. The DCA dimension stays perfect — jitter was already tested in the Human Factor series.

Strategy Risky Stable Behavior
BH 100% 0% Buy & Hold reference
S1 — Textbook (robot) 60/70/80% rest rebalanced to target once per year
S2 — Drawer (drift) 60/70/80% rest never rebalanced — the sleeve drifts
S3 — Capitulation (human) 60% plan rest holds the S1 plan until own equity drawdown crosses ~35%, then all-stable; three re-entry rules
Aegis (v14) Shield dynamic dynamic production config, same-day execution

S3 details: the pain threshold is 35% ± 5 percentage points, jittered per seed (30 seeds). Re-entry variants: never return, return only on a new all-time high of the basket (buying the top), or return after one year out. After re-entry the plan resumes, and the human can break it again.

S2 deserves a sentence: in a bull run the risky side grows, so a "set and forget" 60/40 silently becomes ~90/10 exactly at the top — full exposure into the crash. That drift is not a strawman; it is the most common real-world version of a static split.

3. Results — robot and drawer

Strategy MaxDD Sharpe Calmar CAGR Final
BH 81.5% 0.475 0.510 41.6% $74,199
S1 60/40 robot 60.7% 0.621 0.643 39.1% $66,241
S1 70/30 robot 66.7% 0.585 0.600 40.0% $69,163
S1 80/20 robot 72.2% 0.549 0.565 40.8% $71,501
S2 60/40 drawer 80.5% 0.452 0.482 38.8% $65,595
S2 70/30 drawer 80.8% 0.458 0.489 39.6% $67,746
S2 80/20 drawer 81.1% 0.464 0.497 40.3% $69,897
Aegis (v14) Shield 34.2% 0.493 0.659 22.5% $30,121

Three facts stand out:

1. The robot is strong. The textbook 60/40 with one rebalance a year has the highest Sharpe of everything tested here, Shield included. Six rebalances in 6.2 years, $48 of fees. 2. Drift eats protection, not return. The drawer variants end with barely less money than the robot (−$646 at 60/40) but carry almost the full Buy & Hold drawdown (80.5% vs 60.7%). The yearly rebalance bought pain reduction, not return. 3. The Shield is the only strategy under 35% MaxDD — and it pays for it. Defensive 1,758 of 2,275 days (77%), final equity less than half of the robot 60/40.

Equity curves: robot, drawer, human and Shield
Pain vs reward: MaxDD against Sharpe for all nine strategies

4. Results — the human

The S3 operator holds the robot's exact plan until their own equity drawdown crosses ~35% (median realized threshold 34.0–34.2%), then sells everything into stablecoin. Medians of 30 seeds:

Re-entry rule MaxDD Sharpe Final Damage vs own plan Capitulations Days out
Never returns 60.4% 0.562 $53,768 $16,404 ($2.3k–$19.0k) 3 1,837
Back on new ATH 65.7% 0.564 $52,376 $15,206 ($8.6k–$24.9k) 5 1,682
Back after 1 year 60.4% 0.582 $53,768 $12,473 ($6.4k–$19.0k) 4 1,838

Read that slowly:

Equity lost by capitulating vs holding the same plan with discipline

5. The gate scorecard

The pass criteria from the original test plan, verbatim:

Gate Requirement Result Verdict
MaxDD Shield < all statics 34.2% vs 60.7–81.1% ✅ PASS
Calmar Shield > best static 0.659 vs 0.643 ✅ PASS
Sharpe Shield ≥ best static 0.493 vs 0.621 ❌ FAIL
Final equity within 80–120% of best static 45% of best ❌ FAIL

2 of 4. The Shield dominates on every metric that measures pain and loses on every metric that measures terminal wealth in this window.

6. Honest reading

1. The protection is real and it is the best in class. MaxDD 34.2% against 60.7–81.1% for every static variant, and the highest Calmar of all nine strategies — the best return per unit of pain actually sat through. That is the product's promise, and this test confirms it.

2. The return cost is real and now quantified. In a 6.2-year window containing two enormous bull markets, constant exposure was rewarded. The Shield sat defensive 77% of days, trailed Buy & Hold on 2,268 of 2,275 days, and ended ~$36k behind the robot 60/40. Anyone who could hold a 61% drawdown without flinching should, by this data, prefer the robot. The test says so plainly.

3. The robot does not exist. Zero of 30 simulated humans held the plan. They capitulated 3–5 times, gave up $12.5k–$16.4k of equity each, spent ~81% of the window in stablecoin — and still suffered a 60–66% drawdown. The honest comparison is therefore not "Shield vs robot 60/40" but "Shield vs what a person actually does with a 60/40": $30,121 at 34% MaxDD vs ~$52–54k at 60–66% MaxDD plus three broken promises to oneself.

4. What this means. The Shield is not a return-maximizer and this test refuses to pretend otherwise. It is a pain manager — and the premium paid for the pain management in this window was about $36k on a $30k outcome. Whether that trade is worth it is a personal risk-tolerance question; the data now prices it exactly.

7. Test details

8. Reproducibility

All strategies run on the same 6.2 years of daily closes with the unmodified production engine for the Shield leg. Test scripts, chart generators, and raw result data live in the engine's internal research tooling; every reported median is across 30 seeds.


This is the second of five planned crown tests for the Aegis (v14) Deleverage Shield. Test 1 (Human Factor) is published here. Verdict here: 2/4 gates — the Shield dominates protection and pain-adjusted return, loses the return gates to a robot that does not exist, and beats the human version of its own competitor on every axis except terminal wealth. Next: Test 3, liquidity execution.