Dazu Rock Capital — Proof-of-Concept Strategy Model

A tiered allocation framework
for asymmetric market environments

This site presents a simulation-based demonstration of a core-satellite investment strategy with systematic downside protection. All performance data is modeled; no actual client assets or proprietary trading records are represented.

2022 Bear Market Simulation → 2024 Bull Market Simulation →
SPY S&P 500 ETF ▼ 19.4% (2022)
QQQ NASDAQ ETF ▼ 32.6% (2022)
DRC Tier I Core ▲ 65–75% allocation
PUT SPY Puts — Actively Managed ▲ Profit-taking on down legs
CALL Targeted Long Calls ▲ 10–18% Tier II
SPY S&P 500 ETF ▲ 24.2% (2024)
QQQ NASDAQ ETF ▲ 25.6% (2024)
DRC Simulated Model — Not actual returns
SPY S&P 500 ETF ▼ 19.4% (2022)
QQQ NASDAQ ETF ▼ 32.6% (2022)
DRC Tier I Core ▲ 65–75% allocation
PUT SPY Puts — Actively Managed ▲ Profit-taking on down legs
CALL Targeted Long Calls ▲ 10–18% Tier II
SPY S&P 500 ETF ▲ 24.2% (2024)
QQQ NASDAQ ETF ▲ 25.6% (2024)
DRC Simulated Model — Not actual returns
Investment Philosophy

Structured discipline across market regimes

The strategy is built on the premise that durable risk-adjusted returns require explicit allocation rules combined with active options management — not passive hedging or discretionary flexibility. Each tier serves a distinct purpose; together they create a portfolio designed to generate alpha in both advancing and declining markets.

01
Regime Awareness

Market environments — trending bull, bear, sideways — demand different allocation responses. The framework adjusts options exposure and tier weights based on defined regime signals rather than reactive judgment.

02
Active Options Management

Protective puts are not held passively to expiration. Profits are taken on large down-move days; runners are managed with adjusted stops. After significant down legs, positions are reassessed before reloading — reentry requires confirmation of continued downside momentum. This active management is what separates the strategy's put P&L from a static overlay.

03
Tiered Risk Budgeting

Risk is allocated deliberately across tiers with explicit bounds. The core tier prioritizes capital preservation; the directional tier accepts higher variance for return enhancement; the speculative tier — including targeted long calls — is sized to be portfolio-immaterial at the position level.

04
Rules Over Discretion

Entry, exit, and rebalancing triggers are defined in advance. This removes the behavioral vulnerabilities — loss aversion, recency bias, overconfidence — that most systematically damage discretionary portfolio performance.

Portfolio Construction

Three-tier allocation framework

Academic grounding in core-satellite theory (Leibowitz & Bova) and risk-parity principles informs the tier boundaries. Each tier has defined allocation bounds, instrument scope, and rebalancing logic. An explicit cash reserve is maintained at all times as a strategic buffer, not a residual.

# Tier & Description Target Allocation Instruments Academic Framework
I
Core — Index Participation with Active Put Overlay
Long-only broad market index exposure paired with actively managed protective puts. Puts are traded — not held to expiration — with profits taken on large down-move days and positions reassessed between bear market legs. Allocation moves toward lower bound when puts are active.
65–75%of total portfolio
lower bound when
puts active
SPY / QQQ
SPY Put Options
(60–90 DTE)
actively managed
Core-satellite construction (Leibowitz & Bova, 2005); active put overlay vs. passive buy-write (CBOE Put-Write Index research); convex payoff structure (Taleb, 2012).
II
Directional — Tactical Equity & Long Call Positions
Short-to-medium term directional positions in large-cap equities where momentum and fundamental signals align. Includes targeted long calls on researched names treated as defined-risk asymmetric bets — sized individually at 1–3% of portfolio. Calls are high-conviction positions with a clear thesis and defined max loss, not speculative noise.
10–18%of total portfolio
opportunity-driven
within hard bounds
Mag 7 / large-cap equities
Targeted long calls
(researched names)
directional options
Tactical asset allocation (Faber, 2007); momentum premium (Jegadeesh & Titman, 1993); defined-risk options as asymmetric bets (Taleb, 2012 — barbell).
III
Speculative — High-Variance Opportunity Set
Asymmetric, high-conviction positions in small-caps, short-dated options, and digital assets. Sized at portfolio-immaterial levels; total loss of Tier III is a designed tolerance, not an unexpected event. Not all clients participate in Tier III.
1–4%of total portfolio
hard cap enforced
Small-cap equities
Short-dated options
Crypto (BTC/ETH)
Kelly Criterion for position sizing (Kelly, 1956); barbell strategy (Taleb, 2012); behavioral finance — isolating speculative exposure to prevent contamination of core.
C
Cash Reserve — Strategic Buffer
Remaining portfolio weight held in cash or short-term equivalents. This is an explicit, managed allocation — not a residual. It funds options premium on put deployments, supports rebalancing without forced liquidation, and provides dry powder for opportunistic deployment in dislocated markets. Cash weight increases when Tier II is at lower bound and puts are active.
8–15%of total portfolio
increases during
active hedge periods
Cash / T-bills
Money market
Short-duration
equivalents
Liquidity buffer as strategic asset (Leibowitz & Bova, 2005); optionality value of cash in volatile regimes; cash as a position, not an absence of one.
Risk Management

Explicit rules for drawdown control

Risk management in this framework is not reactive — it is pre-specified. The following mechanisms are active at all times regardless of market conditions or short-term performance.

01 — Hedge Trigger
Momentum-Based Put Deployment

Protective puts on the SPY/QQQ core position are purchased when a defined momentum signal crosses a threshold (e.g., 50-day MA crosses below 200-day MA). Tenor is 60–90 DTE; positions are actively managed and not held passively to expiration.

02 — Tier Bounds
Hard Allocation Ceilings

Each tier operates within defined allocation bounds. Tier III has a 4% hard ceiling; breaches trigger mandatory rebalancing. No single position in Tier II exceeds 7% of total portfolio.

03 — Cash Buffer
Residual Cash Reserve

Remaining portfolio weight after tier allocations is held in cash or equivalents. This provides optionality for hedge rolling costs, rebalancing, and opportunistic deployment in dislocated markets.

04 — Drawdown Limit
Portfolio-Level Stop

If total portfolio drawdown from peak exceeds 12%, Tier II positions are reduced to minimum allocation and Tier III is liquidated. Core hedge is reviewed for extension.

05 — Rebalance Cadence
Quarterly Structural Review

Tier allocations are formally reviewed quarterly against defined bands. Drift of more than 5 percentage points from target triggers rebalancing. Intra-quarter rebalancing occurs only on breach of hard limits.

06 — Regime Classification
Market Regime Tagging

Each month is classified as Bull, Bear, or Transitional based on price momentum, VIX level, and yield curve slope. Tier II allocation target adjusts ±5% based on regime tag. Tier I hedge budget adjusts ±2%.

Simulations

Two market environments. One framework.

The strategy is tested against two historically distinct periods — a severe bear market and a sustained bull market — to evaluate behavior across regimes. Active options management, not passive hedging, is the key variable in both. All data is simulated; see methodology disclosures on each page.

↗
2022
Bear Market Proof-of-Concept
Active put management
in a sustained drawdown
S&P 500 fell 19.4%. Four distinct bear market legs created multiple put deployment and profit-taking events. This simulation models how active options management — taking profits on down days, reassessing between legs, reloading on confirmation — generated meaningful outperformance versus passive exposure.
+5.5%
Simulated Strategy Return
−19.4%
SPY Benchmark
+24.9pp
Simulated Outperformance
↗
2024
Bull Market — Alpha Through Active Management
Benchmark-beating returns
in a trending market
S&P 500 gained 24.2%. Rather than lagging the benchmark, targeted long call positions and tightly managed put exposure generated modest outperformance. This simulation shows that active options management is the distinguishing feature in both regimes — not just in down markets.
+27.4%
Simulated Strategy Return
+24.2%
SPY Benchmark
+3.2pp
Simulated Outperformance

SIMULATION DISCLOSURE — All performance figures presented on this site are the output of a quantitative simulation model and do not represent actual investment results, actual trading history, or the performance of any real portfolio or account. Dazu Rock Capital is a demonstration vehicle created for analytical and educational purposes. Past simulated performance is not indicative of future results. No investment advice is offered or implied. This material is not an offering or solicitation of any investment product or service. Benchmark returns (SPY, QQQ) reflect approximate historical index performance for the stated periods and are provided solely for contextual comparison.