gorazd 1.0.0

GORAZD: Gradient-Optimized Regime-Aware Zero-allocation Dispatcher

GORAZD: Gradient-Optimized Regime-Aware Zero-allocation Dispatcher

GORAZD is an elite, cross-platform quantitative execution matrix. Designed for institutional developers, it bridges the gap between local workstation simulation and bare-metal high-frequency deployment. It physically bypasses the Python Global Interpreter Lock (GIL) to achieve deterministic, microsecond-latency execution.

The Universal Matrix

GORAZD is architected for total environmental superiority:

• Tactical Simulation (Windows / macOS): Build, train, and backtest your non-linear risk matrices locally utilizing full multicore concurrency and ZeroMQ tactical dashboards.
• Live Deployment (Linux / Equinix NY4): Deploy the exact same codebase to a bare-metal server. GORAZD automatically maps to Linux isolcpus and native .so C-libraries for zero-latency physical execution.

Architectural Supremacy

• The 4-Core Hydra: Mechanically hijacks 4 CPU cores for Asynchronous Ingestion, Routing, Risk (Kill-Switch), and Concept Drift monitoring.
• Page-Aligned Memory: Eradicates OS page faults by mapping monolithic tensors directly to physical RAM via mmap.
• Lock-Free IPC: Inter-Process Communication utilizing C11 atomic pointers and 64-byte L1 cache-line padding.
• Native C-API Inference: Bypasses Python wrappers entirely, mapping RAM directly to the underlying libxgboost C-library.
• Microstructure Physics: Custom objective gradients mathematically constrained by Maker/Taker exchange rebates.
• Avellaneda-Stoikov Routing: Dynamic Kelly capital exposure scaled by inverse volatility and skewed by real-time inventory risk.
• Immutable Parquet Ledger: Zero-blocking asynchronous trade journaling ensures absolute PnL persistence.

Environmental Configuration (.env)

Create a .env file in your root execution directory to securely lock your credentials and risk parameters:

# Execution Mode: RETAIL (Free APIs) or BLOOMBERG (B-Pipe)
data_source="RETAIL"

# API Infrastructure (Used if data_source="RETAIL")
tiingo_api_key="YOUR_TIINGO_KEY"
alpaca_api_key="YOUR_ALPACA_KEY"
alpaca_api_secret="YOUR_ALPACA_SECRET"

# Structural Risk Constraints
max_leverage=1.5
base_capital=250000.0

The Global CLI Matrix

GORAZD installs directly into your operating system's PATH. Drive your entire quantitative stack from the terminal:

gorazd-fetch   # Polls physical APIs, calculates multipliers, locks Parquet tensors.
gorazd-train   # Executes Purged Cross-Validation and Non-Linear Optimization.
gorazd-ui      # Ignites the ZeroMQ tactical terminal dashboard.
gorazd-ignite  # Launches the 4-Core UHFT memory-mapped daemon.

Top-Level Python API

For deep integration, the gz namespace provides brutal, operational brevity.

import gorazd as gz

# 1. Synthesize Physical Tensors
compiler = gz.TensorCompiler(target="SPY")
compiler.compile(start_date="2016-01-01")

# 2. Optimize Physics-Aware Matrix
optimizer = gz.Optimizer()
optimizer.fit(parquet_file="SPY_institutional_matrix.parquet")

# 3. Ignite the Multicore Daemon
engine = gz.Engine(target="SPY", model_file="core.ubj")
engine.ignite()