Founder

Sofiane
Boutgajouft.

CEO & Founder — OrgaX LLC. Creator of the Boutgajouft Liquidity Triangle Theory™ and architect of the BLT Engine systematic trading framework.

Sofiane Boutgajouft — Founder, OrgaX

Sofiane Boutgajouft

CEO & Founder — OrgaX LLC

Entity OrgaX LLC

Overview

A decade building what the industry couldn't find.

Sofiane Boutgajouft is the founder and CEO & Founder of OrgaX LLC, and the creator of the Boutgajouft Liquidity Triangle Theory™ — a formal mathematical framework for structural market modelling in mean-reverting instruments.

His work began with a fundamental dissatisfaction: the dominant frameworks in retail and systematic trading — whether heuristic concepts like ICT and SMC, or statistical approaches like trend following — were built on intuition, not structure. He set out to answer a different question: can market geometry be derived axiomatically, without discretionary interpretation?

The result is the BLT Engine — a systematic trading strategy that has demonstrated near-zero market beta (β̄ₘ = 0.037, p = 0.540) and positive returns across every major market regime from the 2008 Global Financial Crisis to 2025, without active hedging, without leverage, and without period-specific optimisation.

Research output

Seven working papers. One unified theory.

Boutgajouft has independently published seven working papers on SSRN between 2025 and 2026, forming a complete theoretical and empirical corpus — from the foundational axioms of BLT Theory through large-scale Monte Carlo validation across 17 years of multi-regime market data.

7
SSRN working
papers
0
Years of data
validated
0
Monte Carlo
simulations

Publication timeline

The research sequence.

2025

Boutgajouft Liquidity Triangle Theory™ — Founding paper

Mathematical axioms and geometric modelling of the BLT protocol. Published independently on SSRN.

2025

BLT Engine Performance Report — Backtesting 2023–2025

First empirical validation across Gold and Forex markets on QuantConnect Institutional.

2026

Structural Modeling vs Heuristic Concepts — Comparative study

Academic comparison against ICT and Smart Money Concepts methodologies.

2026

BLT Engine — Crypto market regime extension

Crisis-alpha validation across Bitcoin bull and bear market cycles.

2026

Zero-Beta Decorrelation — Theoretical implications

Four-category decorrelation taxonomy. CAPM and EMH implications. First documented Category IV strategy.

2026

Crisis-Alpha & Structural Decorrelation — 17-year validation

10,000 Monte Carlo simulations. Bootstrap CI [−0.080, 0.141]. Actual at 50.7th percentile.

Approach

Structure over signal.

Where most systematic frameworks attempt to predict market direction, the BLT Engine operates from a different premise entirely: that price formation in mean-reverting instruments follows deterministic geometric laws that can be expressed formally, tested rigorously, and deployed without discretionary override.

The empirical consequence — Category IV structural decorrelation — is not an optimisation target. It is a mathematical consequence of the instrument universe construction. The BLT Engine does not hedge to achieve β ≈ 0. It achieves it structurally, because the instruments it trades carry no dependency on equity market direction.

Instrument expertise

Mean-reverting markets.

The BLT Engine operates exclusively in instruments where the structural conditions of BLT Theory hold: sustained mean-reverting behaviour without persistent directional momentum.

EUR/USD GBP/USD USD/JPY AUD/USD USD/CAD GLD — Gold ETF SLV — Silver ETF
"Structural market modelling is not a prediction system. It is a geometric truth about the forces that govern institutional order flow — rendered in mathematics, not intuition. The near-zero beta is not engineered. It is a consequence."
— Sofiane Boutgajouft, OrgaX LLC · BLT Theory, 2025
Theoretical contribution · 2026

The Structural
Liquidity Factor.

In Zero-Beta Decorrelation in Structural Liquidity Strategies (2026), Boutgajouft introduces FSL — a missing risk factor proposed to explain the anomalous return profile of the BLT Engine: positive returns combined with near-zero market beta. The BLT Engine does not earn returns from equity market exposure — it loads on a structurally distinct factor orthogonal to all known equity factors.

Augmented asset pricing model
E[RS] = Rf + βm · (E[Rm] − Rf) + βSL · E[FSL]
RSReturn of the BLT Engine strategy
βmMarket beta ≈ 0.037 — statistically indistinguishable from zero
βSLLoading on the Structural Liquidity Factor FSL
FSLStructural Liquidity Factor — orthogonal to all equity factors
Under CAPM alone, βm ≈ 0 implies E[RS] = Rf. The BLT Engine's positive excess returns — with confirmed near-zero beta — imply either a missing factor FSL or a capacity-constrained structural inefficiency.
Combined portfolio Sharpe ratio
SRcombined = SRP² + SRA²
SRPSharpe ratio of the base portfolio (e.g. 60/40 ≈ 0.40)
SRASharpe ratio of the BLT Engine (structurally decorrelated addition)
ρCorrelation ≈ 0 (structural, not statistical)
When correlation ρ ≈ 0, any addition with SRA > 0 strictly improves the combined Sharpe — regardless of its magnitude. The BLT Engine's non-replicability (spanning theorem) makes this improvement non-substitutable.
Optimal allocation weight
w* = SRASRA + SRP · σPσA
w*Optimal portfolio weight for the BLT Engine allocation
σPVolatility of the base portfolio
σAVolatility of the BLT Engine strategy
The mean-variance optimal allocation typically implies a 10–30% satellite allocation at the BLT Engine's observed Sharpe and volatility profile — consistent with institutional satellite sizing conventions.
Theorem Non-Spanning of Structurally Decorrelated Returns
Let M denote a portfolio of market-correlated assets (all β > 0). Let S be the BLT Engine with βS,m ≈ 0 and E[RS] > Rf. Then RS cannot be spanned by any linear combination of assets in M.
Corollary: Any institutional portfolio consisting entirely of market-correlated assets is strictly improved (mean-variance sense) by adding a structurally decorrelated strategy with positive expected returns.
Empirical record

The numbers
speak for themselves.

×0
Equity growth
$1 → $3.94
β = 0
Mean market beta
p = 0.540
+0%
Best crisis year
2020 COVID
0/17
Profitable
periods
0th
MC percentile
10,000 simulations

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This website is for informational purposes only and does not constitute an offer or solicitation to buy or sell any financial instrument. All performance data is backtested and simulated — not live. Past performance does not guarantee future results. OrgaX LLC. For qualified professional and institutional investors only. · Full legal disclaimers →