cb-signal-tui 0.3.2

A live terminal-based crypto signal scanner using Coinbase, Z-score anomaly detection, and strategy classification.

Cb-signalTUI

Cb-signalTUI is a real-time, terminal-native crypto signal scanner built for Coinbase assets.
It uses Z-score anomaly detection, adaptive EMA momentum modeling, trend slope analysis, and confidence scoring to classify trading opportunities as momentum, reversal, or neutral strategies—complete with voice alerts and persistent logging.

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Features

• Real-Time Signal Detection: Continuously monitors supported Coinbase pairs for actionable trade signals.
• Smart Signal Fusion: Combines Z-score, EMA differentials, volatility, and slope for more reliable detection.
• Strategy Classification: Flags opportunities as momentum, reversal, or neutral based on composite indicators.
• Confidence-Weighted Alerts: Dynamic scoring adjusts based on trend slope and volatility.
• Rich Terminal UI: Auto-refreshing, color-coded interface with real-time stats and categorized signals.
• Voice Alerts: Uses pyttsx3 for BUY/SELL vocal alerts when confidence is high.
• Asynchronous Execution: Built on asyncio, aiohttp, and aiosqlite for high throughput and reliability.
• SQLite Logging: Every signal gets logged to signals.db for backtesting or historical review.
• Custom Per-Asset Configs: Fine-tune EMA periods and sensitivity thresholds for each asset.
• Modular CLI Modes: Supports future extensions like --backtest, --export, etc.
• Resilient Networking: Intelligent retry/backoff logic prevents flake-outs on rate limits or network errors.

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Project Structure

Cb-signalTUI/
├── cb_signal_tui/             # Core signal scanner package
│   ├── __init__.py            # Package definition
│   └── __main__.py            # Runtime, config, CLI
├── built/                     # Auto-built wheels/tarballs on push
│   └── cb_signal_tui-*.whl
├── dist/                      # Local pip builds (ignored by git)
├── .github/
│   └── workflows/
│       └── build.yml          # GitHub Actions for CI/CD
├── requirements.txt           # Runtime dependencies
├── pyproject.toml             # Build metadata (PEP 621)
├── README.md                  # You are here.
└── signals.db                 # SQLite runtime DB (auto-created)

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Installation

1. Clone the repo:

   git clone https://github.com/LoQiseaking69/Cb-signalTUI.git
   cd Cb-signalTUI
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. (Optional) Install from a local build:

   pip install built/cb_signal_tui-*.whl
   

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Dependencies

aiohttp
aiosqlite
pandas
numpy
pyttsx3
rich
scipy

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Usage

To launch the live scanner with the terminal UI:

cb-signal-tui

Live Output

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Configuration

Configuration is handled in cb_signal_tui/__main__.py.

Key tunables:

• PRODUCTS: Coinbase trading pairs to monitor (BTC-USD, ETH-USD, etc.)
• SETTINGS: Per-asset strategy config (fast_ema, slow_ema, zscore_threshold)
• Z_SCORE_WINDOW, VOLATILITY_THRESHOLD, FLAT_SLOPE_THRESHOLD: Core tuning params
• STRATEGY_FILTER: Filter strategy types (momentum, reversal)
• ALERT_CONFIDENCE_THRESHOLD: Minimum confidence required to trigger a voice alert
• REFRESH_INTERVAL: UI update frequency (seconds)

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Database

Signal logs are persisted to signals.db.

Schema:

CREATE TABLE IF NOT EXISTS signals (
    timestamp TEXT,
    asset TEXT,
    price REAL,
    z_score REAL,
    signal TEXT,
    confidence REAL,
    strategy TEXT
);

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Contributing

1. Fork the repo
2. Create a feature branch (git checkout -b my-feature)
3. Push your changes
4. Open a pull request

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Built for precision. Tuned for real-time alpha.
Get signals. Not noise.
— LoQiseaking69