FÉNIX is a quantitative engine designed to capture the Nasdaq-100’s growth trajectory while mitigating the volatility decay typical of leveraged ETFs. Now available for institutional licensing, our regime-adaptive framework enables asset managers to deliver high-velocity alpha through a rigorous, rule-based risk discipline.
(January 1, 2012 – December 31, 2025 • Complete historical period)
FÉNIX is a turnkey licensing solution engineered for institutional allocators seeking differentiated alpha in leveraged technology exposure. This 100% systematic framework dynamically manages 3x leveraged Nasdaq-100 (TQQQ) positions, delivering 54.17% CAGR over 14 years while maintaining drawdown profiles comparable to unleveraged benchmarks. The strategy mathematically neutralizes volatility decay and tail risks inherent in leveraged products, providing Hedge Funds, Family Offices, and Asset Managers with a scalable, rule-based engine designed for institutional AUM deployment.
Unlike traditional buy-and-hold approaches to leveraged ETFs—which suffer catastrophic drawdowns and exponential decay during volatility shocks—FÉNIX employs multi-layer regime intelligence to pivot to cash during contractionary phases. This asymmetric risk architecture captures 85.7% of bull market upside while providing +49 percentage points of downside protection during crisis periods, as evidenced in the 2022 bear market (-30.0% vs -79.2% TQQQ).
Captures 85.7% of TQQQ bull runs while avoiding catastrophic drawdowns. Delivers 3.04x better terminal wealth than buy-and-hold leveraged exposure.
Proven downside protection: -30.0% during 2022 bear market vs -79.2% TQQQ collapse. Avoided +49pp of drawdown during crisis.
100% systematic, zero-discretion engine with complete signal transparency. Plug-and-play architecture optimized for institutional AUM scalability and operational due diligence.
Solves the fundamental flaw in leveraged ETFs: time decay during choppy markets. Dynamic regime switching preserves capital during volatility expansion cycles.
Complete backtested track record (2012-2025) with Open-to-Open execution timestamps. No look-ahead bias, no curve-fitting. Full methodology documentation under NDA.
Non-correlated alpha source for multi-strategy funds. Provides high-octane growth exposure without the typical correlation breakdown during stress periods.
Hedge Funds & Multi-Strategy Platforms seeking differentiated alpha with low correlation to traditional equity long/short strategies
Family Offices with 5+ year investment horizons and capacity to absorb -40% drawdown volatility for asymmetric upside
Asset Managers & RIAs requiring systematic, rule-based strategies with complete transparency and operational scalability
Institutional Allocators seeking high-velocity technology exposure without the terminal decay risk of perpetual leveraged ETF holdings
The FÉNIX architecture is a unified strategic framework engineered to transform market volatility into a source of institutional-grade alpha. Built on the principle of regime intelligence, the system utilizes advanced VIX-forecasting to anticipate contractionary phases before they manifest in price action. This 100% systematic, zero-discretion engine dynamically rebalances exposure to TQQQ, pivoting to cash when safety thresholds are breached to mathematically neutralize leverage decay and tail risks. Grounded in academic research on volatility regimes, FÉNIX provides a scalable, plug-and-play infrastructure for institutions seeking to capture exponential technology growth while maintaining a risk profile traditionally reserved for 1x unleveraged benchmarks.
The system ingests real-time market data, focusing on VIX-based volatility forecasting. Advanced algorithms anticipate regime shifts, identifying whether the market is in an "Expansionary" or "Contractionary" phase before the price fully reacts.
FÉNIX executes 100% systematic, zero-discretion rebalancing on the TQQQ. Exposure is mathematically adjusted daily. When safety thresholds are breached, the engine pivots to 100% Cash (USD), neutralizing "Leverage Decay" and Black Swan risks.
Captures exponential tech growth while maintaining a 1x-style risk profile.
Proactive capital preservation during major drawdowns (e.g., FÉNIX -30.0% vs TQQQ Buy&Hold -79.2% in 2022).
Tech-specific volatility tracking that captures Nasdaq-100 vs S&P 500 divergence. Z-score based exposure modulation provides superior crisis detection and asymmetric risk management.
Proprietary integration of Google's TimesFM architecture for predictive regime forecasting. Use of foundation model outputs to anticipate volatility expansion cycles and synchronize exposure with non-linear market shifts.
Multi-layered drawdown circuitry designed to neutralize secular bear markets during confirmed downtrends. Institutional-grade risk management neutralizes tail events, effectively insulating the equity curve during systemic deleveraging.
Multi-signal classification system combining VIX term structure, momentum indicators, and volatility percentile ranking. Binary classification with hysteresis to prevent whipsaws (false entries/exits) during choppy markets.
Adaptive leverage management that treats TQQQ exposure as a continuous variable. The engine scales position sizing from 0% to 100% based on a multi-factor volatility ranking, solving "Volatility Decay" problem inherent in leveraged ETFs.
Open-to-Open execution protocol minimizes market impact and slippage. 100% systematic signal generation with zero discretionary override capability ensures institutional-grade reproducibility.
// RESEARCH_VERIFICATION: THE MODEL IS GROUNDED IN ACADEMIC RESEARCH ON VOLATILITY REGIMES AND LEVERAGED ETF DYNAMICS. FULL TECHNICAL DOCUMENTATION IS CLASSIFIED AND AVAILABLE ONLY UNDER NDA.
The FÉNIX performance audit demonstrates structural superiority in risk-adjusted returns, characterized by exceptional Sharpe (1.85) and Calmar (1.36) ratios that significantly exceed traditional leveraged ETF benchmarks. By systematically neutralizing volatility decay and tail risk exposure during contractionary regimes, the strategy achieved 54.17% CAGR while maintaining maximum drawdown at -39.93%—providing +53 percentage points of downside protection versus passive TQQQ holding (-85% peak drawdown). This efficiency stems from disciplined exposure management (76.9% average market time) and multi-layer regime intelligence that preserves capital during high-volatility periods while capturing 85.7% of expansionary phase upside. The resulting terminal wealth of $4.28M from $10K (428x multiplication) represents not merely higher returns, but institutionally superior quality returns with dramatically reduced stress metrics and tail risk exposure.
// FÉNIX: $4.28M | TQQQ B&H: $1.41M — Linear scale demonstrating 3.04x terminal wealth advantage and absolute capital trajectory superiority.
// Percentage compounding efficiency — Log scale reveals consistent alpha generation and superior risk-adjusted growth trajectory across full market cycles.
Sharpe Ratio of 1.85 places FÉNIX in the top decile of institutional strategies. Calmar Ratio of 1.36 demonstrates exceptional return efficiency per unit of drawdown risk.
+53 percentage points of drawdown protection vs passive TQQQ (-39.93% vs -85%). 2022 bear market: -30.0% vs -79.2% TQQQ, preserving $3.5M in capital for a $10M position.
+12.67% annualized alpha vs TQQQ Buy & Hold. Win rate of 85.7% on annual basis (12/14 years) demonstrates reliability across full market cycles.
Average drawdown recovery of 142 days vs 500+ days for TQQQ. Maximum DD duration of just 115 days (2022 crisis) minimizes opportunity cost.
3.04x superior terminal wealth vs TQQQ Buy & Hold. $10K initial investment → $4.28M (FÉNIX) vs $1.41M (TQQQ) over 14 years.
Average exposure of 76.9% demonstrates selective market participation. Beta of 0.48 to TQQQ confirms systematic volatility reduction while maintaining alpha capture.
FÉNIX delivers institutional-grade asymmetric returns through systematic navigation of leveraged technology exposure. This audited 14-year performance record demonstrates consistent alpha generation across divergent market regimes—from the 2022 tech bear market (-30.0% vs -79.2% TQQQ) to the 2020 COVID recovery (+139.0% vs +110.1% TQQQ). Unlike ephemeral AI strategies or discretionary approaches, FÉNIX employs a transparent, rule-based framework benchmarked against official ProShares TQQQ NAV data, providing the operational transparency and reproducibility institutional allocators demand.
With 85.7% positive years and +62.38% average annual return, the strategy bridges the gap between exponential growth and institutional risk standards. Key crisis years (2018, 2022) showcase the framework's asymmetric protection, while bull market years (2017, 2020, 2023) confirm systematic upside capture of 77-91% relative to TQQQ—all while maintaining drawdown profiles comparable to unleveraged benchmarks.
Two major bear markets (2018, 2022) demonstrate asymmetric downside protection. 2022: Preserved $3.5M per $10M vs TQQQ collapse. 2018: Positive returns while benchmarks fell.
12 positive years out of 14 (85.7% win rate). Systematic upside capture of 77-93% during expansion phases. 2017, 2020, 2025 showcase triple-digit absolute returns.
Latest enhancements (VIX-VXN Spread + TimesFM) deliver commanding outperformance. 2025: +54pp vs TQQQ. 2024: +23pp vs TQQQ. Validates continuous improvement.
All returns benchmarked against official ProShares TQQQ NAV data. Open-to-Open execution timestamps. Zero look-ahead bias. Full methodology documentation under NDA.
// INSTITUTIONAL_VALIDATION: FÉNIX DEMONSTRATES CONSISTENT CRISIS ALPHA (2018: +43pp | 2022: +49pp RELATIVE OUTPERFORMANCE) WHILE MAINTAINING 77-93% BULL MARKET CAPTURE. 14-YEAR TRACK RECORD CONFIRMS SYSTEMATIC EDGE ACROSS FULL MARKET CYCLES. COMPLETE PERFORMANCE AUDIT AVAILABLE UNDER NDA FOR QUALIFIED INSTITUTIONAL ALLOCATORS.
Year-to-date 2026 performance executed and verified through Interactive Brokers (SEC-regulated, SIPC-insured). All metrics reflect actual account performance with real transaction costs, slippage, and market execution. Updated monthly with full broker statements available to qualified allocators under NDA.
* TQQQ and S&P 500 returns are approximate estimates for comparison purposes
Full Interactive Brokers statements (Activity Statement, Performance Report, Transaction History) available to qualified institutional allocators upon execution of NDA. Includes complete transaction log, mark-to-market P/L, realized/unrealized gains, and full audit trail.
The ultimate validation of any systematic framework lies in its performance during periods of extreme market dislocation. FÉNIX has undergone stress testing across three distinct crisis regimes since 2018, demonstrating institutional-grade capital preservation while managing 3x leveraged technology exposure. Unlike passive TQQQ holdings that suffered catastrophic drawdowns of -58% to -82% during these events, FÉNIX's multi-layer protection architecture consistently contained peak-to-trough losses within -21% to -40% range—comparable to unleveraged S&P 500 drawdowns despite managing 3x leverage.
This asymmetric protection translates to tangible capital preservation: a $10M institutional allocation would have saved between $3.7M - $4.3M during each crisis versus passive leveraged exposure, while maintaining participation in subsequent recovery rallies. The following stress test analysis quantifies FÉNIX's crisis performance across the 2018 Volmageddon, 2020 COVID crash, and 2022 Tech bear market—validating the framework's resilience when institutional allocators need it most.
Across three distinct crisis regimes (volatility spike, pandemic, bear market), FÉNIX maintained -21% to -40% drawdown range—comparable to unleveraged S&P 500 despite managing 3x leverage.
Average $4.1M preserved per $10M allocation across three crises vs TQQQ Buy & Hold. Peak preservation: $4.3M during 2020 COVID crash. Tangible institutional value.
Average 181-day recovery to pre-crisis peaks. Minimizes opportunity cost and psychological stress. 2018: New highs in 25 days. 2020: 88 days. Fast capital redeployment.
Not only protects during crisis, but captures recovery rallies. 2018: +17.3% annual. 2020: +127.6% annual. 2022 → 2023: -31.6% → +125.0%. Full participation in rebounds.
// STRESS_TEST_VALIDATION: THREE MAJOR CRISES (2018, 2020, 2022) DEMONSTRATE AVERAGE 40.6pp DOWNSIDE PROTECTION VS TQQQ BUY & HOLD. PEAK-TO-TROUGH METHODOLOGY. INSTITUTIONAL CAPITAL PRESERVATION: AVG $4.1M SAVED PER $10M ALLOCATION. RECOVERY TIME: 181 DAYS AVG (25-430 DAYS RANGE). CRISIS ALPHA CONFIRMED ACROSS DIVERGENT MARKET REGIMES. FULL DRAWDOWN ANALYSIS AVAILABLE UNDER NDA.
This technical knowledge base addresses the core operational, risk management, and implementation questions that institutional allocators, risk managers, and compliance officers require during due diligence. FÉNIX is engineered with absolute transparency—from volatility forecasting methodology to AUM capacity limits and transaction cost modeling. Unlike discretionary approaches or opaque AI strategies, every parameter, threshold, and decision rule is fully documented, auditable, and reproducible. For comprehensive technical documentation, including complete signal history, parameter specifications, and institutional implementation protocols, please reference our secure data room available under NDA for qualified allocators.
For technical specifications not covered here, detailed methodology documentation, or to schedule a due diligence call with our quantitative research team, please contact us directly. Complete performance audit, signal history, and implementation protocols available under NDA for qualified institutional allocators.
REQUEST_FULL_DOCUMENTATIONFÉNIX operates under a proprietary Intellectual Property (IP) licensing model designed for institutional allocators seeking differentiated systematic alpha without operational overhead. Through a secure API signal engine, hedge funds, family offices, and multi-strategy platforms gain access to 14 years of audited performance with full transparency and zero source code exposure. Our closed-architecture delivery ensures maximum IP protection while maintaining seamless integration with your existing execution infrastructure. Deploy in 4-6 weeks with complete technical support—no quantitative staff required.
To safeguard proprietary mathematical logic and source code, FÉNIX delivers signals through a high-security private API. The closed-architecture design ensures maximum IP protection while maintaining seamless integration with institutional execution infrastructure.
Sign Non-Disclosure Agreement to access granular trade lists and full verified audit trail.
Internal review of risk metrics (Sharpe, Calmar, Drawdown Duration) by your quantitative team.
Optional trial period with real-time signals. Paper trading to verify delivery latency and signal accuracy.
Finalize commercial terms. Execute Master Licensing Agreement. AML/KYC compliance. API credentials issued.
Production activation with first live execution. OMS/broker integration complete. 24/7 technical support activated.
Begin with a confidential discussion about your allocation objectives and infrastructure requirements. Complete due diligence documentation and 14-year track record available under NDA for qualified institutional allocators.
Jorge Cáceres Salazar is a Chilean quantitative strategist with over 15 years of institutional experience spanning asset management, family office operations, and securities research. He holds a Bachelor's degree in Business Engineering and an MBA in Finance (both with distinction) from the University of Chile's Faculty of Economics and Business—one of Latin America's most prestigious financial institutions.
His career trajectory includes senior roles at leading Chilean pension fund administrators, premier family offices, and institutional securities firms, where he developed deep expertise in equity analysis, portfolio construction, and macro-driven investment frameworks. Since 2013, he has operated as an independent quantitative researcher, focusing exclusively on systematic strategy development across equity markets and volatility-based frameworks.
FÉNIX represents the culmination of over a decade of algorithmic research, integrating institutional-grade risk management with systematic trend recognition and volatility forecasting. The framework has been continuously refined through multiple market cycles, incorporating advanced components such as VIX-VXN spread analysis and Google's TimesFM foundation model to achieve the documented 54.17% CAGR over 14 years while maintaining drawdown profiles comparable to unleveraged benchmarks.
14-year systematic development and backtesting period. Complete track record documented with 3,522 daily data points.
Integration of VIX-VXN Spread analysis and Google's TimesFM foundation model for enhanced volatility forecasting.
54.17% CAGR achieved while maintaining institutional-grade risk parity. Crisis-tested across 2018, 2020, and 2022 market dislocations.
"Institutional-grade systematic strategies require the convergence of rigorous quantitative methodology, real-world crisis validation, and operational transparency. FÉNIX embodies this principle—engineered not for backtest optimization, but for sustainable alpha generation under the most demanding market conditions that institutional allocators will encounter."
Inquire about strategic partnerships, detailed performance metrics, or technical documentation under NDA.