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Quantitative framework & research infrastructure.
A proprietary research unit combining advanced on-chain analytics, AI forecasting and quantitative infrastructure to sharpen decision-making and alpha generation.
01 Core Systems
Six technology pillars.
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01
Signal architecture
- 240+ alpha signals from market microstructure
- Funding rates & on-chain sentiment analysis
- 20/60-day realized volatility corridors
- Gradient-boosted classifiers — >60% reversion probability
Signals are generated in real time from 12 data sources and scored by an ensemble model that weights recent regimes. Each signal carries a defined confidence interval and decay function.
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02
Execution layer
- Reinforcement-learning position optimizer
- Transformer-based order book model
- VWAP execution — <10 bps average slippage
- Smart order routing across CEX & OTC
The RL optimizer determines entry timing, sizing and exit within pre-defined risk corridors. The transformer model predicts short-term order flow to time limit orders optimally.
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03
Risk engine
- GARCH(1,1) dynamic volatility targeting
- Intra-day VaR & CVaR monitoring
- Auto-deleveraging at 2σ breakout
- Kalman filter & ARIMA band recalibration
The risk engine runs continuously and is architecturally separated from the alpha engine. It can override or halt any position without human approval if thresholds are breached.
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04
Blockchain intelligence
- Real-time wallet clustering & anomaly detection
- Stablecoin flow monitoring
- Cross-chain liquidity analytics
- On-chain sentiment signals
A proprietary on-chain pipeline indexes 8 blockchains every 15 seconds. Wallet clustering identifies likely whale positions and exchange flows 6–18 hours before they impact price.
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05
Simulation infrastructure
- Monte Carlo tail-risk forecasting
- LSTM hybrid backtesting engine
- 1,000+ validated trade history
- Fat-tailed volatility regime modeling
Every strategy modification is backtested against 4 years of tick-level data across 3 volatility regimes before deployment, with walk-forward validation and 6-month holdout periods.
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06
Custody & security
- SOC 2 certified architecture
- 2-of-3 multi-party computation (MPC) keys
- Coinbase Custody, Copper, Matrixport
- 10% AUM max counterparty concentration
MPC keys require 2-of-3 signatories from geographically distributed key holders. All signing events are logged immutably; insurance covers 100% of digital assets in custody.
02 Technology Stack
End-to-end architecture.
Data ingestion
Custom WebSocket feeds, Kafka streams and REST polling across 50+ exchanges and data providers.
Signal computation
Python (NumPy, Pandas, scikit-learn, PyTorch) on a 15-second refresh cycle over live data.
Strategy execution
Custom C++ order management system with a Python RL agent interface — sub-10ms latency.
Risk monitoring
Real-time VaR/CVaR dashboard and automated circuit breakers on an independent feed from execution.
Portfolio management
Custom PMS with live P&L, NAV calculation, attribution reports and investor reporting.
Infrastructure
Multi-cloud (AWS + GCP), 99.99% uptime SLA, geo-redundant failover, encrypted at rest.
03 Research Metrics
Validated by evidence.
- 240+
- Active alpha signals
- 1,000+
- Validated trades
- <10ms
- Execution latency
- 50+
- Data providers
- 8
- Blockchains monitored
- 15s
- Signal refresh cycle
- 99.99%
- Infrastructure uptime
- 4yr
- Backtest history