Walk-Forward Audit Results

The following data represents a deterministic simulation of our VOO-to-Form-4 Rotation strategy. Built on out-of-sample data, these results provide a forensic look at systematic Alpha generation across different macroeconomic regimes.

THE FORWARD-TESTING PREROGATIVE: While these results demonstrate significant structural edge, we maintain that only Forward Testing with Real Money serves as final verification. These simulations are used to reject weak hypotheses and calibrate our ClusterBuyAnalyzer.cs .

Data Integrity & Provenance

Systematic Alpha is only as reliable as the underlying price data. To eliminate the "Backtest Illusion," our simulation engine utilizes institutional-grade datasets spanning back to 2008, ensuring our parameters are stress-tested against extreme liquidity events and sustained bull markets alike.

2025 Cohort: Multi-Insider Alpha Jan 2025 to Feb 2026

The 2025 cycle solidifies the strategy's forward-looking robustness. With a commanding 32.31% pure alpha generation over the S&P 500 benchmark, the engine successfully extracted exceptional upside while keeping drawdowns tighter than the broader market (19.40% vs 20.07%). A towering Information Ratio of 2.150 underscores true institutional-grade active management efficiency.

47.98% Total P&L
$57,570 Realized Profit
32.31% Alpha over VOO
19.40% Max Drawdown
Metric (2025) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) 42.14% 13.95%
Sharpe Ratio 1.661 0.763
Calmar Ratio 2.173 0.695
Information Ratio 2.150 N/A
Tracking Error 10.67% N/A

Statistical Significance (The "Null Hypothesis" Test)

t-stat (mu=0): 5.1214 | df=1636 | p-value (one-sided): 1.5194E-007
2024 Cohort: Disciplined Beta-Matching Jan 2024 to Feb 2025

In a year dominated by a relentless, parabolic mega-cap rally, the strategy demonstrated immense discipline. Rather than style-drifting to chase momentum, the engine cleanly tracked the broader market recovery. While trailing the unhedged S&P 500 benchmark by a statistically negligible 93 basis points, the strategy generated an excellent 25% CAGR with a maximum drawdown firmly restricted under 10%.

28.34% Total P&L
$34,009 Realized Profit
-0.93% Alpha over VOO
9.96% Max Drawdown
Metric (2024) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) 24.96% 25.77%
Sharpe Ratio 1.428 1.832
Calmar Ratio 2.507 2.826
Information Ratio -0.011 N/A
Tracking Error 10.21% N/A

Statistical Significance (The "Null Hypothesis" Test)

t-stat (mu=0): 2.8412 | df=1395 | p-value (one-sided): 2.2475E-003
2023 Cohort: The Market Rebound Jan 2023 to Feb 2024

Emerging from the 2022 bear market, the 2023 cycle showcased the strategy's ability to seamlessly pivot back into risk-on environments. While the baseline index (VOO) recovered strongly, our insider-clustering model aggressively doubled the benchmark's performance, producing an exceptional 2.217 Sharpe Ratio and a towering 4.406 Calmar Ratio.

54.02% Total P&L
$64,824 Realized Profit
24.74% Alpha over VOO
10.74% Max Drawdown
Metric (2023) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) 47.34% 25.91%
Sharpe Ratio 2.217 1.817
Calmar Ratio 4.406 2.610
Information Ratio 1.458 N/A
Tracking Error 11.37% N/A

Statistical Significance (The "Null Hypothesis" Test)

t-stat (mu=0): 5.1894 | df=1422 | p-value (one-sided): 1.0570E-007
2022 Cohort: The Bear Market & Downside Protection Jan 2022 to Feb 2023

The 2022 macroeconomic tightening cycle presented a brutal bear market environment. While absolute returns were negative across equities, the strategy demonstrated immense downside protection, outperforming the S&P 500 (VOO) by nearly 700 basis points. Notably, our role-weighting engine proved its worth: Directors remained profitable during the crash, while CEO signals suffered amidst the broader tech and valuation reset.

-6.89% Total P&L
$-8,266 Realized Loss
6.99% Alpha over VOO
26.85% Max Drawdown
Metric (2022) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) -6.19% -12.52%
Sharpe Ratio 0.033 -0.447
Calmar Ratio -0.231 -0.461
Information Ratio 0.484 N/A
Tracking Error 24.54% N/A
2021 Cohort: The Bull Market Expansion Jan 2021 to Feb 2022

In a low-volatility, high-liquidity up-trend, the risk management engine shined. While capturing aggressive upward momentum, the portfolio maintained a highly stable footprint, suppressing maximum drawdown to a negligible 12% while achieving an extraordinary 1.806 Sharpe Ratio.

47.33% Total P&L
$56,798 Realized Profit
29.03% Alpha over VOO
12.38% Max Drawdown
Metric (2021) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) 41.59% 16.28%
Sharpe Ratio 1.806 1.174
Calmar Ratio 3.360 1.656
Information Ratio 1.407 N/A
Tracking Error 14.76% N/A

Statistical Significance (The "Null Hypothesis" Test)

t-stat (mu=0): 6.0424 | df=2088 | p-value (one-sided): 7.6184E-010
2020 Cohort: The Liquidity Shock Jan 2020 to Feb 2021

The 2020 cycle serves as our ultimate structural stress test. Amidst the fastest market crash in history, insider buying reached generational extremes. The system absorbed a 41% drawdown but aggressively capitalized on C-suite conviction to vastly outperform the benchmark recovery.

79.95% Total P&L
$95,945 Realized Profit
58.14% Alpha over VOO
41.06% Max Drawdown
Metric (2020) IRSTTS Strategy VOO (Buy & Hold)
Annualized Return (CAGR) 68.56% 19.17%
Sharpe Ratio 1.618 0.777
Calmar Ratio 1.670 0.590
Information Ratio 2.010 N/A
Tracking Error 18.79% N/A

Statistical Significance (The "Null Hypothesis" Test)

t-stat (mu=0): 5.8243 | df=1767 | p-value (one-sided): 2.8771E-009

A p-value of 0.0000000028 indicates that the probability of the 2020 outperformance occurring by random chance is statistically negligible. The signal engine isolated true asymmetric edge.

Profit Contribution by Executive Title

Our ClusterBuyAnalyzer.cs applies role-weighted multipliers. The realized data across multiple cohorts confirms that Director and CEO conviction remains the primary driver of institutional alpha.

Institutional Custom Requests:
Bespoke validation audits, custom ticker maturation reports, and extended walk-forward simulations leveraging our 18-year+ archive are available and welcome. We provide professional-grade forensic analysis for quants and model governance teams.

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