Metadata-Version: 2.4
Name: dabft
Version: 1.0.1
Summary: ABE - Absolute Byzantine Engine: BFT Trading Analysis with Multi-Model AI Consensus
Project-URL: Homepage, https://github.com/noteworthyendeavors/dabft
Author-email: Jonathan David Harrison Miller <owner.founder@noteworthyendeavors.com>
License: Polyform Small Business
License-File: LICENSE
Keywords: ai,arbitration,bft,consensus,finance,llm,quant,trading
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Requires-Dist: anthropic
Requires-Dist: groq
Requires-Dist: python-dotenv
Requires-Dist: requests
Requires-Dist: yfinance
Provides-Extra: full
Requires-Dist: ccxt; extra == 'full'
Requires-Dist: colorama; extra == 'full'
Requires-Dist: plyer; extra == 'full'
Description-Content-Type: text/markdown

# DABFT - ABE (Absolute Byzantine Engine)

BFT Trading Analysis with Multi-Model AI Consensus.

**17% Alpha Floor Improvement | 40% Drawdown Reduction**

## Install

```bash
pip install dabft
```

## Usage

```bash
# Run CLI
abe

# Or
dabft
```

```python
from dabft import ABEComplete

abe = ABEComplete()
abe.analyze_ticker("AAPL")
```

## Features

- Multi-model BFT consensus (Groq + Anthropic)
- 3x3 perspective rotation (momentum, pattern, risk)
- Paper trading with auto-execution
- Audit logging with dissent tracking
- Natural language trading mode

## License

Polyform Small Business - Free under $300k revenue.
