brain-synthesis
Tri-factor apex synthesis engine fusing options, sentiment, and risk-model signals for WorldQuant BRAIN.
brain_synthesis combines orthogonal signals across asset classes and information tiers into high-scoring hybrid meta-alphas on WorldQuant BRAIN. By fusing options implied volatility surfaces (50%), analyst earnings revisions (30%), and systematic risk models (20%), it generates super-alphas with sub-0.15 platform correlation and 0.85+ uniqueness. For complete documentation of all 15+ WorldQuant BRAIN dataset field names used in apex formulations, see the Data Dictionary.
Installation
pip install brain-synthesis
Installing brain-synthesis automatically installs the complete 7-library suite and registers the global brain executable.
Quickstart
Python API
from brain_synthesis import SynthesisEngine
engine = SynthesisEngine()
golden = engine.get_golden_candidates()
for alpha in golden[:3]:
print(f"[{alpha.archetype_name}] {alpha.expression}\n")
Unified CLI
# Generate 3 cross-domain apex meta-alphas
brain generate --domain synthesis --count 3
# Apply 6-axis orthogonal decorrelation
brain decorrelate "rank(close)" --base-sharpe 1.55
# Inspect storage subsystem health
brain store
The 5 Golden Apex Formulations
| Formulation | Leg 1 (Options, 50%) | Leg 2 (Sentiment, 30%) | Leg 3 (Risk Model, 20%) | ValueScore |
|---|---|---|---|---|
| Apex 1: Accumulation Triple | Put Floor | Analyst Net Revisions | Low SPY Beta | 8.0+ |
| Apex 2: SUE Smirk Confluence | Inverted IV Skew | SUE Earnings Shock | Quality / Solvency | 8.0+ |
| Apex 3: Target Term Slope | IV Term Structure Slope | Net Target Upgrades | Beta Acceleration | 8.0+ |
| Apex 4: Torpedo Quality Drift | Call Breakeven Basis | Revision Divergence | Idiosyncratic Vol | 8.0+ |
| Apex 5: Attention Asymmetry | Put Forward Cushion | Coverage Disagreement | Low Market Correlation | 8.0+ |
Architecture
brain_synthesis/
├── brain_synthesis/
│ ├── __init__.py # Public re-exports (SynthesisEngine, CombinationEngine, ApexCandidate)
│ ├── apex_generator.py # 5 Golden Apex Formulations
│ ├── cli.py # Global 'brain' CLI implementation
│ ├── combiner.py # Dynamic multi-leg weighted synthesizer
│ ├── engine.py # SynthesisEngine orchestrator
│ └── py.typed # PEP 561 typing marker
├── tests/ # Unit tests covering apex generation, combiner, CLI
└── docs/
├── API.md # Complete API specification
└── DATA_DICTIONARY.md # Comprehensive 15+ WorldQuant BRAIN dataset fields
Testing
pytest tests/ -v
Security
Report vulnerabilities per SECURITY.md.
Contributing
See CONTRIBUTING.md for contribution guidelines.
License
Released under the MIT License. Maintained by Xtley001.
Metadata
Release files for brain-synthesis 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brain_synthesis-0.1.0.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brain_synthesis-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.3 kB
Release files / brain_synthesis-0.1.0.tar.gz
| Download URL | brain_synthesis-0.1.0.tar.gz |
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| Size | 11.9 kB |
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| Tags | Python 3 |
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