Agent skill · data analytics · sundial-org
cryptocurrency-trader
Production-grade AI trading agent for cryptocurrency markets with advanced mathematical modeling, multi-layer validation, probabilistic analysis, and zero-hallucination tolerance. Implements Bayesian inference, Monte Carlo simulations, advanced risk metrics (VaR, CVaR, Sharpe), chart pattern recognition, and comprehensive cross-verification for real-world trading application.
Why this skill is useful
Adds advanced probabilistic analysis scripts and a comprehensive validation pipeline for cryptocurrency trading that are not commonly available in public resources.
What it needs
Requires python installed locally. About 5k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Cryptocurrency Trading Agent Skill Purpose Provide production-grade cryptocurrency trading analysis with mathematical rigor, multi-layer validation, and comprehensive risk assessment. Designed for real-world trading application with zero-hallucination tolerance through 6-stage validation pipeline. When to Use This Skill Use this skill when users request: Analysis of specific cryptocurrency trading pairs (e.g., BTC/USDT, ETH/USDT) Market scanning to find best trading opportunities Comprehensive risk assessment with probabilistic modeling Trading signals with advanced pattern recognition Professional risk metrics (VaR, CVaR, Sharpe, Sortino) Monte Carlo simulations for scenario analysis Bayesian probability calculations for signal confidence Core Capabilities Validation & Accuracy 6-stage validation pipeline with zero-hallucination tolerance Statistical anomaly detection (Z-score, IQR, Benford's Law) Cross-verification across multiple timeframes 14 circuit breakers to prevent invalid signals Analysis Methods Bayesian inference for probability calculations Monte Carlo simulations (10,000 scenarios) GARCH volatility forecasting Advanced chart pattern recognition Multi-timeframe consensus (15m, 1h, 4h) Risk Management Value at Risk (VaR) and Conditional VaR (CVaR) Risk-adjusted metrics (Sharpe, Sortino, Calmar) Kelly Criterion position sizing Automated stop-loss and take-profit calculation Detailed capabilities: See references/advanced-capabilities.md Prerequisites Ensure the following before using this skill: 1. Python 3.8+ environment available 2. Internet connection for real-time market data 3. Required packages installed: pip install -r requirements.txt 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/cryptocurrency-trader