Algorithm Overview

Nasdaq-100 Algorithm ● LIVE

A fully systematic, AI-driven framework to trading leveraged Nasdaq-100 ETFs — combining multiple signal frameworks, regime intelligence, and adaptive risk management.

Interprets market conditions and adapts positioning as environments evolve.

📈 Leveraged Nasdaq-100 · 📊 41-Year Backtest · 58.2% CAGR

Instruments

JEDI expresses its positioning through leveraged long and inverse Nasdaq-100 instruments.

TQQQ — ProShares UltraPro QQQ

3× LONG

Seeks to amplify Nasdaq-100 returns through leveraged long exposure. JEDI utilizes this instrument to participate in sustained directional market environments.

EXPOSURE
Dynamic
LEVERAGE
3×
DIRECTION
Long NDX

SQQQ — ProShares UltraPro Short QQQ

3× SHORT

Provides inverse leveraged exposure to the Nasdaq-100. JEDI utilizes this instrument to express defensive positioning during adverse market conditions.

EXPOSURE
Dynamic
LEVERAGE
3×
DIRECTION
Short NDX

Market Regimes

JEDI continuously classifies market conditions into distinct market regimes, adapting its positioning as environments evolve.

High-Velocity Regime

Sustained directional strength with strong trend participation. The system favors participation in aligned environments where momentum is persistent and broad-based.

Apex Expansion

Late-stage trend conditions where momentum remains strong but increasingly extended. The system becomes more selective, balancing participation with awareness of potential exhaustion.

Core Equilibrium

Balanced, range-bound conditions with no clear directional dominance. The system prioritizes stability and capital preservation while monitoring for emerging trends.

Structural Pivot

Transitional phase where the market is testing key structural levels. Directional conviction is reduced as the system assesses whether directional strength is emerging or fading.

Terminal Exhaustion

Elevated stress conditions following extended downside pressure. The system closely monitors for inflection signals while maintaining a defensive posture.

Systemic Contraction

Sustained adverse conditions with persistent directional weakness. The system shifts toward protection-first behavior, reducing exposure during prolonged instability.

Capitulation Event

Extreme dislocation environments driven by panic and rapid repricing. The system prioritizes maximum defense while monitoring for eventual stabilization.

Strategy Engine

Multiple independent signal frameworks operate within the algorithm, with allocation determined through internal consensus.

Directional

4 independent models
Directional models

Expansion

2 independent models
Expansion dynamics

Reversion

4 independent models
Reversion signals

Range

2 independent models
Range-based signals
🎯

Multi-Cluster Consensus Required

Each framework votes independently with capped position weights. Full capital deployment requires confirmation across multiple frameworks — no single signal source can drive full allocation. This prevents false signals from dominating and smooths returns across market cycles.

Risk Management

🛡️ Volatility-Adaptive Overlay

Exposure dynamically adjusts in response to changing market stress and stability conditions, enabling the system to adapt across varying volatility environments.

📉 Adaptive Exposure Scaling

Exposure adjusts based on the current market environment, balancing participation and risk as conditions evolve.

⏸️ Position Stability Controls

The system maintains disciplined position management to reduce unnecessary turnover during evolving market conditions.

💰 Execution Discipline

Trades are executed using a consistent end-of-session framework to align with system signals and reduce intraday noise.

41-Year Backtest Results

Performance reflects how the system adapts across different market environments over time.

Simulation 1985–2025 · Synthetic TQQQ/SQQQ data pre-2010 ETF inception

⚠ Disclaimer: All performance figures are from backtested simulation and do not represent actual trading results. TQQQ and SQQQ are leveraged ETFs subject to compounding effects, tracking error, and decay. They are not suitable for all investors. Past performance does not guarantee future results. JEDI is not a registered investment advisor. This platform is for informational and educational purposes only. Consult a qualified financial professional before investing.

What Would $10K Have Become?

$10K → $93M (since 2010)

Simulate different starting amounts across 41 years of backtested data.

Run full simulation →

Access Today's Nasdaq-100 Positioning

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