Precision
in Every
Market Regime.

BTM QUANT Technology deploys institutional-grade quantitative strategies across volatility and equity indices — engineered for alpha generation in any market environment.

4Active Strategies
2ETF Partners
100%Systematic
VIX LONG STRATEGY▲ +24.3%VXN LONG STRATEGY▲ +19.7%S&P 500 SHORT STRATEGY▲ +31.2%NASDAQ 100 SHORT STRATEGY▲ +28.5%HANETF PARTNERAMUNDI PARTNERVIX LONG STRATEGY▲ +24.3%VXN LONG STRATEGY▲ +19.7%S&P 500 SHORT STRATEGY▲ +31.2%NASDAQ 100 SHORT STRATEGY▲ +28.5%HANETF PARTNERAMUNDI PARTNER

A Core Ecosystem
Incubating Alpha.

BTM (Beat The Market) is a systematic, quantitative investment framework designed to outperform benchmark indices by generating daily Long or Short signals (close-to-close) on a client-selected universe of assets, including equities, futures, fixed income, commodities, and digital assets. The engine processes market data and cross-asset factors to produce clear, actionable directional signals at each market close, enabling disciplined positioning for the following trading session. By combining factor-based models, volatility-adjusted scoring, and embedded risk controls, BTM delivers a consistent, rules-based approach to capturing market opportunities on both the long and short side, with a focus on repeatability, transparency, and superior risk-adjusted returns.

01

Incubation Architecture

Beyond capital, we build people. We construct the operational and advisory foundation required to transform speculative talent into robust, systematic reality.

Corporate Architecture
03

Radical Transparency

Trust is our primary asset. We cement deep, long-term institutional alliances through an uncompromising commitment to data integrity and ethical moral standards.

Institutional Trust
04

Adaptive Network

The quantitative landscape is fluid. Our global network allows us to tailor execution and vehicle structuration with the speed that the modern era demands.

Global Network

Visionary Leadership

Combining decades of quantitative expertise and institutional banking precision to redefine systematic trading.

Juan Antonio Sanz Sanz, PhD

Founder & CEO

Is a quantitative researcher with extensive experience designing and managing systematic investment models across major European financial institutions. His background in applied mathematics and volatility modeling shapes BTM QUANT’s data‑driven approach, where he leads the development of the firm’s daily‑rebalanced, volatility‑based strategies.

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Elsa Segura

Founder & COO

Is an operations and marketing specialist with experience supporting financial and technology‑driven companies across Europe. Her background in digital marketing, project coordination, and client management strengthens BTM QUANT’s operational structure, where she contributes to execution workflows and investor communications with clarity, precision, and a strong service‑oriented approach.

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The Quant Factory

Where mathematical hypotheses are forged into institutional-grade execution engines. Our factory never sleeps, continuously evolving through systematic refinement.

01

Signal Distillation

We process petabytes of market noise to isolate high-probability volatility signals. It’s not about having more data, but about the purity of the extraction.

Noise ReductionPattern Isolation
02

Evolutionary Testing

Every strategy undergoes a «Survival of the Fittest» protocol. We simulate decades of tail-risk events in seconds to ensure only the most resilient algorithms reach production.

Monte Carlo StressTail-Risk Shield
03

Autonomous Execution

Once forged, our agents execute with zero-latency discipline. Cold, calculated, and immune to the emotional biases that compromise traditional trading.

Zero-BiasInstitutional Scale

Four Systematic
Approaches

Four independent systematic strategies applied exclusively to the S&P 500, each targeting a distinct market behavior to enhance diversification.

STRATEGY 01S&P 500
S&P 500 Drawdown Strategy
S&P 500 · Systematic Exposure

Captures short-term dislocations in the S&P 500 following sharp drawdowns, dynamically adjusting exposure based on prior-day stress signals.

Activates after sharp equity drawdowns or gap-down opens
Panic-driven selloffs and liquidity imbalances as triggers
Macro events and risk catalysts as confirmation filters
Underlying ETF
S&P 500 ETF
Amundi
STRATEGY 02S&P 500
S&P 500 Momentum Exhaustion
S&P 500 · Systematic Exposure

Identifies momentum exhaustion in the S&P 500, capturing reversals following extended directional moves and crowded positioning.

Extended directional moves relative to short-term averages
Positioning imbalances and crowded trades unwind
Volatility expansion as a signal of regime transition
Underlying ETF
S&P 500 ETF
Amundi
STRATEGY 03S&P 500
S&P 500 Sentiment Strategy
S&P 500 · Quantitative Trading

Uses sentiment, volume, and market internals to detect overextended positioning in the S&P 500 and adjust exposure accordingly.

Extreme bullish or bearish sentiment conditions
Prior-day volume and breadth deterioration as confirmation
Divergences between price action and internal market strength
Underlying ETF
S&P 500 Daily Short ETF
Amundi
STRATEGY 04S&P 500
S&P 500 Macro Regime Strategy
S&P 500 · Quantitative Trading

Adapts exposure to the S&P 500 based on macroeconomic conditions, interest rate expectations, and cross-asset signals.

Interest rate expectations and yield curve dynamics
Central bank communication and policy shifts
Cross-asset signals including bonds and credit markets
Underlying ETF
S&P 500 ETF
Amundi
White Label ETF Partners

Cumulative
Returns

Simulated backtested performance across all four strategies. Past performance is not indicative of future results.

VIX Long
2024 Return:+24.3%
VXN Long
2024 Return:+19.7%
S&P 500 Short
2024 Return:+31.2%
NASDAQ 100 Short
2024 Return:+28.5%
Cumulative Return Index (Base 100) — 2023–2025
Competitive Edge

Why BTM QUANT

Built on rigorous research, institutional infrastructure, and a singular focus on systematic alpha generation.

Daily Signal Generation

Proprietary models process prior-day data every evening for next-day directional signals — no discretionary override, no emotion.

Structural Diversification

Four independent strategies across volatility and equity indices designed for low cross-correlation alpha.

CORE INFRASTRUCTURE

ETF Liquidity Wrapper

Delivered via liquid, exchange-listed ETFs in partnership with HANetf & Amundi — daily liquidity and transparent pricing.

INSTITUTIONAL GRADE

Institutional Architecture

Risk management embedded at every layer: position sizing, drawdown limits, and volatility-adjusted control.

White Label Structure

Branded or white-label solutions for wealth managers and family offices seeking systematic edge.

Built for
Every Investor

Whether you are an individual seeking systematic alpha or an institution demanding rigorous process — BTM QUANT delivers.

Profile 01

Retail Investor

Access institutional-grade quantitative strategies previously available only to hedge funds and family offices — now packaged in liquid, exchange-listed ETFs with daily transparency.

  • ETF-wrapped strategies accessible via any brokerage account
  • No minimum investment beyond standard ETF lot sizes
  • Daily liquidity with intraday pricing on all four strategies
  • Clear, documented investment logic — no black box
  • Systematic diversification beyond traditional equity/bond allocation
Profile 02

Institutional Investor

For professional investors, asset managers, and multi-family offices requiring rigorous quantitative infrastructure, regulatory-compliant vehicles, and dedicated white-label solutions.

  • White-label ETF structuring via HANetf and Amundi platforms
  • Full UCITS-compliant vehicle architecture available
  • Dedicated institutional reporting: daily NAV, factor attribution, risk metrics
  • Co-investment and managed account structures on request
  • Custom strategy parameterisation and portfolio integration support

Ready to Deploy
Systematic Alpha?

Or request institutional documentation for your firm.

For qualified investors only. Subject to regulatory restrictions by jurisdiction.