Institutional Grade
Our Technology Stack
Institutional-grade infrastructure powering algorithmic trading strategies.
Neural Engine
Deep Learning Core
Our proprietary neural network processes over 50,000 data points per second, identifying high-probability trade setups across multiple asset classes and timeframes simultaneously.
- Transformer Architecture (Custom GPT-based)
- Reinforcement Learning for Position Sizing
- Multi-Timeframe Analysis
Architecture
Transformer v4.2
Parameters
1.2B
Training Data
12 Years Tick Data
Inference Speed
< 2ms
Model Accuracy
0.0%
0.0ms
NY4 Equinix
0.0ms
LD4 London
0.0ms
TY3 Tokyo
0.0ms
Singapore Equinix
Latency Arbitration
Colocated Execution
Our servers sit inside the exchange data centers. Sub-millisecond execution speed means we capture opportunities before they vanish.
Uptime
0.00%
Risk Management
The Fortress Risk Engine
Our 47-factor risk model monitors portfolio exposure in real-time, dynamically adjusting position sizes and hedge ratios to maintain optimal risk-adjusted returns.
- Dynamic position sizing based on volatility
- Real-time correlation tracking across 200+ pairs
- Stops trading 5 mins before news
Live Risk Metrics
Portfolio Exposure
24%
Drawdown Buffer
87%
Hedge Coverage
92%
System Health
100%