Systematic. Scalable. Built for Alpha.

At Hypersthene Capital, we deploy diversified, data-driven strategies across global markets. Each model is built to capture market inefficiencies while maintaining speed, resilience, and performance under pressure.

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Statistical Arbitrage

Find and exploit pricing anomalies in real time

We identify short-term mispricings between correlated assets using statistical models, mean-reversion techniques, and machine learning.

  • Capitalize on market inefficiencies before they close
  • Works across multiple asset pairs and sectors
  • Low exposure duration = reduced directional risk
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High-Frequency Trading (HFT)

Execute in microseconds to capture microstructure inefficiencies

Our proprietary infrastructure enables ultra-low latency execution across fragmented markets—profiting from fleeting opportunities invisible to most.

  • First-mover advantage in millisecond price shifts
  • Co-located servers reduce execution delays
  • Automated precision trades with minimal slippage
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Market Making & Liquidity Provisioning

Provide liquidity and generate profits through dynamic pricing

We quote buy and sell prices simultaneously to facilitate market activity, manage inventory risk, and earn consistent spreads.

  • Capture bid-ask spreads in high-volume markets
  • Improve market quality and trade flow visibility
  • Real-time pricing adapts to volatility shifts
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Equity & Derivatives Trading

Trade stocks, ETFs, options, and futures using machine intelligence

AI-powered strategies analyze order flow, price momentum, and volatility patterns across multiple asset classes.

  • Exposure to diverse instruments with optimized models
  • Dynamic position sizing and execution logic
  • Risk-adjusted performance based on volatility and skew
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Momentum & Trend Following

Systematically follow price trends and breakouts

Our models detect emerging trends across short-, mid-, and long-term timeframes, adjusting position size as conviction grows.

  • Aligns with prevailing market sentiment
  • Adaptive signals filter noise and false breakouts
  • Designed for both bull and bear market regimes
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Machine Learning-Driven Models

Reinforce accuracy with every market cycle

These strategies evolve in real time by training on massive datasets, optimizing trade timing, asset selection, and risk exposure.

  • Self-improving strategies that adapt to new data
  • Predictive models improve entry/exit precision
  • Combines supervised, unsupervised and reinforcement learning
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Risk Management: Built Into Every Strategy

All strategies operate within a multi-layered risk framework that includes real-time monitoring,

adaptive hedging, stress testing, and portfolio-level controls.

We’d love to hear

from you!

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