# Send Cryptocurrency Trader to your agent Use the source page and any available docs to guide the install because the item is currently unstable or timing out. ## Fast path - Open the source page via Review source status. - If you can obtain the package, extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the source page and extracted files. ## Suggested prompts ### New install ```text I tried to install a skill package from Yavira, but the item is currently unstable or timing out. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. ``` ### Upgrade existing ```text I tried to upgrade a skill package from Yavira, but the item is currently unstable or timing out. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "cryptocurrency-trader-skill", "name": "Cryptocurrency Trader", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/Veeramanikandanr48/cryptocurrency-trader-skill", "canonicalUrl": "https://clawhub.ai/Veeramanikandanr48/cryptocurrency-trader-skill", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/cryptocurrency-trader-skill", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=cryptocurrency-trader-skill", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "PRODUCTION_READY_SUMMARY.md", "SKILL.md", "__main__.py", "change_log.md", "config.yaml", "example_usage.py" ], "downloadMode": "manual_only", "sourceHealth": { "source": "tencent", "slug": "cryptocurrency-trader-skill", "status": "unstable", "reason": "timeout", "recommendedAction": "retry_later", "checkedAt": "2026-04-30T23:50:28.623Z", "expiresAt": "2026-05-01T11:50:28.623Z", "httpStatus": null, "finalUrl": null, "contentType": null, "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=cryptocurrency-trader-skill", "error": "Timed out after 5000ms", "slug": "cryptocurrency-trader-skill" }, "scope": "item", "summary": "Item is unstable.", "detail": "This item is timing out or returning errors right now. Review the source page and try again later.", "primaryActionLabel": "Review source status", "primaryActionHref": "https://clawhub.ai/Veeramanikandanr48/cryptocurrency-trader-skill" }, "validation": { "installChecklist": [ "Wait for the source to recover or retry later.", "Review SKILL.md only after the download returns a real package.", "Treat this source as transient until the upstream errors clear." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/cryptocurrency-trader-skill", "downloadUrl": "https://openagent3.xyz/downloads/cryptocurrency-trader-skill", "agentUrl": "https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent", "manifestUrl": "https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent.json", "briefUrl": "https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent.md" } } ``` ## Documentation ### 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 ### 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: Python 3.8+ environment available Internet connection for real-time market data Required packages installed: pip install -r requirements.txt User's account balance known for position sizing ### Quick Start Commands Analyze a specific cryptocurrency: python skill.py analyze BTC/USDT --balance 10000 Scan market for best opportunities: python skill.py scan --top 5 --balance 10000 Interactive mode for exploration: python skill.py interactive --balance 10000 ### Default Parameters Balance: If not specified by user, use --balance 10000 Timeframes: 15m, 1h, 4h (automatically analyzed) Risk per trade: 2% of balance (enforced by default) Minimum risk/reward: 1.5:1 (validated by circuit breakers) ### Common Trading Pairs Major: BTC/USDT, ETH/USDT, BNB/USDT, SOL/USDT, XRP/USDT AI Tokens: RENDER/USDT, FET/USDT, AGIX/USDT Layer 1: ADA/USDT, AVAX/USDT, DOT/USDT Layer 2: MATIC/USDT, ARB/USDT, OP/USDT DeFi: UNI/USDT, AAVE/USDT, LINK/USDT Meme: DOGE/USDT, SHIB/USDT, PEPE/USDT ### Workflow Gather Information Ask user for trading pair (if analyzing specific symbol) Ask for account balance (or use default $10,000) Confirm user wants production-grade analysis Execute Analysis Run appropriate command (analyze, scan, or interactive) Wait for comprehensive analysis to complete System automatically validates through 6 stages Present Results Display trading signal (LONG/SHORT/NO_TRADE) Show confidence level and execution readiness Explain entry, stop-loss, and take-profit prices Present risk metrics and position sizing Highlight validation status (6/6 passed = execution ready) Interpret Output Reference references/output-interpretation.md for detailed guidance Translate technical metrics into user-friendly language Explain risk/reward in simple terms Always include risk warnings Handle Edge Cases If execution_ready = NO: Explain validation failures If confidence <40%: Recommend waiting for better opportunity If circuit breakers triggered: Explain specific issue If network errors: Suggest retry with exponential backoff ### Output Structure Trading Signal: Action: LONG/SHORT/NO_TRADE Confidence: 0-95% (integer only, no false precision) Entry Price: Recommended entry point Stop Loss: Risk management exit (always required) Take Profit: Profit target Risk/Reward: Minimum 1.5:1 ratio Probabilistic Analysis: Bayesian probabilities (bullish/bearish) Monte Carlo profit probability Signal strength (WEAK/MODERATE/STRONG) Pattern bias confirmation Risk Assessment: VaR and CVaR (Value at Risk metrics) Sharpe/Sortino/Calmar ratios Max drawdown and win rate Profit factor Position Sizing: Standard (2% risk rule) - recommended Kelly Conservative - mathematically optimal Kelly Aggressive - higher risk/reward Trading fees estimate Validation Status: Stages passed (must be 6/6 for execution ready) Circuit breakers triggered (if any) Warnings and critical failures Detailed interpretation: See references/output-interpretation.md ### Language Guidelines Use beginner-friendly explanations: "LONG" → "Buy now, sell higher later" "SHORT" → "Sell now, buy back cheaper later" "Stop Loss" → "Automatic exit to limit loss if wrong" "Confidence %" → "How certain we are (higher = better)" "Risk/Reward" → "For every $1 risked, potential $X profit" ### Required Risk Warnings ALWAYS include these reminders: Markets are unpredictable - perfect analysis can still be wrong Start with small amounts to learn Never risk more than 2% per trade (enforced automatically) Always use stop losses This is analysis, NOT financial advice Past performance does NOT guarantee future results User is solely responsible for all trading decisions ### When NOT to Trade Advise users to avoid trading when: Validation status <6/6 passed Execution Ready flag = NO Confidence <60% for moderate signals, <70% for strong User doesn't understand the analysis User can't afford potential loss High emotional stress or fatigue ### Programmatic Integration For custom workflows, import directly: from scripts.trading_agent_refactored import TradingAgent agent = TradingAgent(balance=10000) analysis = agent.comprehensive_analysis('BTC/USDT') print(analysis['final_recommendation']) See example_usage.py for 5 comprehensive examples. ### Configuration Customize behavior via config.yaml: Validation strictness (strict vs normal mode) Risk parameters (max risk, position limits) Circuit breaker thresholds Timeframe preferences ### Testing Verify installation and functionality: # Run compatibility test ./test_claude_code_compat.sh # Run comprehensive tests python -m pytest tests/ ### Reference Documentation references/advanced-capabilities.md - Detailed technical capabilities references/output-interpretation.md - Comprehensive output guide references/optimization.md - Trading optimization strategies references/protocol.md - Usage protocols and best practices references/psychology.md - Trading psychology principles references/user-guide.md - End-user documentation references/technical-docs/ - Implementation details and bug reports ### Architecture Core Modules: scripts/trading_agent_refactored.py - Main trading agent (production) scripts/advanced_validation.py - Multi-layer validation system scripts/advanced_analytics.py - Probabilistic modeling engine scripts/pattern_recognition_refactored.py - Chart pattern recognition scripts/indicators/ - Technical indicator calculations scripts/market/ - Data provider and market scanner scripts/risk/ - Position sizing and risk management scripts/signals/ - Signal generation and recommendation Entry Points: skill.py - Command-line interface (recommended) __main__.py - Python module invocation example_usage.py - Programmatic usage examples ### Version v2.0.1 - Production Hardened Edition Recent improvements: Fixed critical bugs (division by zero, import paths, NaN handling) Enhanced network retry logic with exponential backoff Improved logging infrastructure Comprehensive input validation UTC timezone consistency Benford's Law threshold optimization Status: 🟢 PRODUCTION READY See references/technical-docs/FIXES_APPLIED.md for complete changelog. ### Troubleshooting Installation issues: pip install --upgrade pip pip install -r requirements.txt Import errors: Ensure running from skill directory or using skill.py entry point. Network failures: System automatically retries with exponential backoff (3 attempts). Validation failures: Check validation report in output - explains which stage failed and why. For detailed debugging: Enable logging in config.yaml or check references/technical-docs/BUG_ANALYSIS_REPORT.md ## Trust - Source: tencent - Verification: Indexed source record - Publisher: Veeramanikandanr48 - Version: 0.1.0 ## Source health - Status: unstable - Item is unstable. - This item is timing out or returning errors right now. Review the source page and try again later. - Health scope: item - Reason: timeout - Checked at: 2026-04-30T23:50:28.623Z - Expires at: 2026-05-01T11:50:28.623Z - Recommended action: Review source status ## Links - [Detail page](https://openagent3.xyz/skills/cryptocurrency-trader-skill) - [Send to Agent page](https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent) - [JSON manifest](https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent.json) - [Markdown brief](https://openagent3.xyz/skills/cryptocurrency-trader-skill/agent.md) - [Download page](https://openagent3.xyz/downloads/cryptocurrency-trader-skill)