The Core Stack

Decoupled Execution

We split the strategy logic from the trade execution. Researchers write code in Python because it's easy to use. The execution engine runs in C++ because it's incredibly fast. Best of both worlds.

Research Layer (Python)

• Pandas/NumPy for vectorization
• PyTorch/TensorFlow for deep learning
• Custom Backtrader pipelines

Execution Layer (C++)

• Zero-GC memory management
• Direct DMA socket connections
• FPGA hardware acceleration support

                        // execution_core.cpp
                    
voidEngine::onTick(const Tick& tick) {
// < 5μs hot path
if (risk_manager.check(tick)) {

                        Order order = strategy.evaluate(tick);
if (order.isValid()) {

                          gateway.send(order); // DMA Out

                        }

                      }

                    }

Information Flow

Global Data Pipeline

We process millions of market ticks every day. Here is how we handle it.

Ingestion

Connecting to raw data feeds from NSE, BSE, and crypto exchanges.

Cleaning

Converting different data formats into one standard structure we can use.

Analysis

Calculating indicators and volatility in real-time to find trade setups.

Storage

Saving everything to high-speed databases for future backtesting.

System Integrity

Failover & Redundancy

Safety Checks

Independent "watchdog" programs check the system every 10ms. If anything freezes, we shut down immediately to protect your money.

Broker Routing

If one broker goes down, our system can automatically route orders to a backup broker without you doing anything.

Isolated Cores

We give your strategy its own CPU core. This prevents other programs from slowing down your trades.

Ready to Deploy?

Our infrastructure integrates seamlessly with major institutional APIs.

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