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QUANTITATIVE TRADING TECHNOLOGY

Systematic Trading Infrastructure for Digital Assets

Institutional-grade algorithmic trading systems for directional trading, statistical arbitrage, volatility arbitrage, funding arbitrage, and prediction markets

Our Products

Five specialized trading systems, each purpose-built for its market domain

α

OPUS ALPHA

Systematic Directional

AI-powered algorithmic trading across 6 exchanges and 50 digital assets

  • Multi-indicator voting consensus with 4-regime market adaptation
  • 6 trading models spanning 3 risk tiers (Conservative, Balanced, Aggressive)
  • 5 selectable AI validation engines (Grok, DeepSeek, Claude, Gemini, Qwen)
  • Real-time WebSocket execution with bracket SL/TP protection
δ

OPUS DELTA

Statistical Arbitrage

Mean-reversion pairs trading exploiting cointegrated cryptocurrency relationships

  • 9 statistical methods: Engle-Granger, Johansen, Kalman, Ornstein-Uhlenbeck, and more
  • 4-phase optimization: universe screening, profiling, parameter optimization, walk-forward
  • Dual-leg execution across multiple exchanges
  • CUSUM kill switch for regime breakdown detection
σ

OPUS SIGMA

Volatility Arbitrage

Options trading on Deribit with IV surface construction and dynamic delta hedging

  • 5 vol strategies: DVOL mean reversion, IV/RV spread, term structure, skew, gamma scalping
  • Black-Scholes pricing with full Greeks computation (Delta, Gamma, Vega, Theta)
  • Real-time volatility surface construction and interpolation
  • Dynamic delta hedging via perpetual futures
ρ

OPUS RHO

Funding Arbitrage

Funding-rate harvest and cross-exchange basis arbitrage across six derivatives venues

  • Two strategy families: single-venue carry (spot + perp) and cross-exchange basis spread
  • Real-time funding-rate aggregator: Binance, Bybit, Bitget, Kraken, Hyperliquid, Aster
  • 30 canonical assets monitored continuously with normalized per-hour / per-day yields
  • Atomic dual-leg execution with retry, backoff, and unwind-on-failure
Ω

OPUS OMEGA

Prediction Markets

Trading, market making and arbitraging prediction markets across Polymarket, Kalshi, and PredictIt

  • 6 trading verticals: Crypto, Sports, Weather, Politics, Finance, Cross-Platform
  • Rust EIP-712 sidecar for 2-5ms order signing latency
  • Multiple parallel WebSocket connections to Polymarket CLOB
  • Multi-source data feeds: exchanges, weather APIs, sports APIs, polling data
η

OPUS HERMES

AI Orchestrator

AI assistant that unifies control, capital allocation and cross-strategy management

  • Cross-product aggregator: consolidated positions, P&L and risk across every strategy
  • Capital allocator: dynamic rebalancing between strategies driven by regime and performance
  • Voice and text command interface with biometric authentication for sensitive actions
  • LLM-powered advisor: natural-language queries, daily pulse and anomaly detection

Technology Stack

Purpose-built engines for each market domain, unified by shared infrastructure

Signal Generation

A specialized signal engine per market structure — multi-indicator voting consensus, statistical cointegration, implied volatility surfaces, funding-rate dislocations and cross-market pricing inefficiencies — each with regime-adaptive parameters.

AI Architecture

A two-layer AI architecture: Kronos Oracle — our proprietary deep-learning predictor on dedicated GPU infrastructure — combined with optional LLM validation across 5 engines (Grok, DeepSeek, Qwen, Claude, Gemini) in Autonomous or Validator mode.

Risk Management

Fixed-dollar risk per trade with dynamic SL/TP scaling by signal strength. Portfolio-level exposure limits, anti-pyramiding controls, and exchange-native bracket orders ensure consistent risk regardless of leverage or position size.

Backtesting & Optimization

Multi-phase optimization with parallel processing, walk-forward validation, Combinatorially Symmetric Cross-Validation (CSCV), non-parametric bootstrap for portfolio robustness, and zero implementation drift between backtest and live execution.

Execution Infrastructure

Atomic multi-leg order execution with automatic retry and partial-fill detection. UUID-strict fill reconciliation via real-time WebSocket user-data streams prevents silent position drift, while unwind-on-failure logic eliminates naked positions.

Operational Resilience

Per-user process supervision with automatic restart and health monitoring. Edge-decay detection auto-pauses degrading models, continuous reconciliation catches state drift, and pre-deploy invariant tests gate every release.

Infrastructure

Multi-venue execution, multi-region deployment, defense in depth

6
Products
10+
Exchanges
500+
Assets
5
AI Engines
24/7
Automated
99.9%
Uptime

Multi-exchange connectivity: Kraken, Binance, Bybit, Bitget, Hyperliquid, Aster DEX, Deribit, Polymarket, Kalshi

Real-time WebSocket market and account streams with automatic reconnection and continuous failover

Per-user isolated databases with full audit trail and continuous position reconciliation

Multi-region cloud deployment across Singapore and Amsterdam with automated daily backups

Per-user AES-256-GCM encrypted credential vault with hardened PBKDF2 key derivation

Automated daily, weekly and monthly performance reports with full P&L attribution

Passkey (WebAuthn) and Argon2id password authentication with JWT session tokens and rate-limited login

TLS 1.3 transport with HSTS, automated certificate renewal and a full security-header policy

Network-layer firewall, intrusion detection with automated IP banning and continuous security patching

Engineered by Traders,
for Traders

Two decades of market experience, every component engineered from scratch

We build the systems we trade with. The entire platform is engineered in-house and tailored to each market structure — no off-the-shelf libraries, no white-label rails. A modern AI-augmented engineering workflow lets a small team ship infrastructure that previously required a desk of twenty.

From directional futures to volatility and funding arbitrage to prediction markets, every product reflects real trading requirements — not theoretical models.

Get in Touch

For institutional inquiries and platform access

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