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
isolcpusand native.soC-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
libxgboostC-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()
Release files for gorazd 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gorazd-1.0.0.tar.gz | 103.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gorazd-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 103.7 MB
Release files / gorazd-1.0.0.tar.gz
| Download URL | gorazd-1.0.0.tar.gz |
|---|---|
| Size | 103.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / gorazd-1.0.0-py3-none-any.whl
| Download URL | gorazd-1.0.0-py3-none-any.whl |
|---|---|
| Size | 307.1 kB |
| Tags | Python 3 |
|
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| Uploaded via |
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