Help us improve
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
By hugoguerrap
Automate cryptocurrency trading with 7 specialized AI agents that analyze markets, execute paper trades, manage risk, and self-improve by generating new skills and tools from natural language descriptions.
npx claudepluginhub hugoguerrap/crypto-claude-desk --plugin crypto-trading-deskPre-trade consultation and post-trade analysis. Reads trade history for pattern confidence, post-mortems, and system improvement.
Real-time crypto market intelligence. Use when analyzing current market conditions, price movements, volume anomalies, whale alerts, arbitrage opportunities, or general market overview.
Crypto news analysis and social sentiment. Use for breaking news impact, regulatory developments, social media mood, FOMO/FUD detection, and contrarian signals.
Final trading decision maker with paper trading execution. Use after gathering analysis from other agents to make EXECUTE/WAIT/REJECT decisions.
Portfolio risk management, volatility analysis, and market microstructure. Use for VaR calculations, correlation studies, orderbook depth, position sizing, and spoofing detection.
Run a comprehensive multi-agent crypto analysis with phased execution. Usage: /analyze BTC or /analyze ETH SOL
Close an open trade and run post-mortem analysis. Usage: /close-trade trade_001 or /close-trade trade_001 at 98500
Extend the system by creating new MCP servers, agents, or skills. Usage: /create a DeFi protocol tracker or /create an agent for macro analysis
Autonomous monitoring loop. Checks open trades against SL/TP levels, closes trades that hit targets, evaluates expired predictions, and generates periodic summaries. Run via cron for full autonomy. Usage: /monitor
View current portfolio status, open trades, and performance stats. Usage: /portfolio
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Agent-first CLI for the Crypto.com Exchange API. Market data by default; live trading opt-in via API keys. Available --services: market (default), trade, account, advanced, margin, staking, funding, fiat. Update args in MCP settings to expand capabilities.
Trading Skills — live AI crypto trading signals with entry, SL, TP, leverage, confidence, verification with P&L tracking. Free during beta.
Generate trading signals from technical indicators and market analysis
Expert agents for cryptocurrency trading, DeFi strategies, and market analysis
Integration with Bankr API for crypto trading, market analysis, and Polymarket predictions
Build and deploy agentic finance applications on the Alva platform. Access 250+ financial data sources, run cloud-side analytics, backtest trading strategies, and publish interactive playbooks.
Share bugs, ideas, or general feedback.
I used to spend weeks building multi-agent systems with LangGraph, CrewAI, and AutoGen. Hundreds of lines of Python orchestration code, custom state machines, fragile message passing between agents. Then I realized Claude Code already has everything — subagents, MCP servers, persistent memory, model routing. I just needed to describe my agents in markdown and give them tools. This plugin is the result: 7 coordinated AI agents, 83 real-time tools, zero lines of orchestration code. It even learns from its own trades and can extend itself.
Claude Code is not just for writing code. Its agent system is a general-purpose intelligence platform. You can point it at any domain, give it specialized tools, and let it coordinate expert agents to solve problems that would take a human team hours.
This project proves it. One plugin turns Claude Code into a full crypto trading desk — and it's built entirely with markdown files and MCP servers. No framework. No SDK. No middleware.
It's markdown all the way down.
# 1. Add the marketplace
claude plugin marketplace add hugoguerrap/crypto-claude-desk
# 2. Install the plugin
claude plugin install crypto-trading-desk@hugoguerrap
# 3. Start Claude Code
claude
# 1. Clone the repo
git clone https://github.com/hugoguerrap/crypto-trading-desk.git
cd crypto-trading-desk
# 2. Start Claude Code with the plugin directory
claude --plugin-dir .
Both modes auto-discover agents, skills, and MCP servers. Same code, same behavior.
Then run setup once:
/crypto-trading-desk:setup
Setup detects your OS (macOS, Linux, or Windows), installs uv if missing, downloads Python dependencies, verifies all 7 MCP servers work, and reports status. Takes ~30 seconds. You only need to do this once.
/crypto-trading-desk:quick BTC
Live market snapshot in ~15 seconds: price, volume, Fear & Greed, funding rates, whale activity.
| Command | What it does | Time |
|---|---|---|
/crypto-trading-desk:setup | First-time setup (detects OS, installs deps, verifies) | ~30 sec |
/crypto-trading-desk:quick BTC | Live market snapshot (1 agent) | ~15 sec |
/crypto-trading-desk:analyze ETH | Full 5-agent phased analysis with trading decision | ~3-5 min |
/crypto-trading-desk:portfolio | View balances, open trades, P&L | ~30 sec |
/crypto-trading-desk:close-trade trade_001 | Close a trade + post-mortem + learning | ~1 min |
/crypto-trading-desk:validate-predictions | Review predictions against market data | ~30 sec |
/crypto-trading-desk:monitor | Autonomous loop: check SL/TP, close trades, evaluate, summarize | ~2-3 min |
/crypto-trading-desk:create | Extend the system with new components | ~2-3 min |
Just ask naturally. The system routes to the right agent(s) based on complexity:
| You say | What happens |
|---|---|
| "How's BTC?" | 1 agent (market-monitor) checks price, volume, sentiment |
| "RSI of ETH?" | 1 agent (technical-analyst) calculates indicators |
| "What's the news on SOL?" | 1 agent (news-sentiment) scans web + social media |
| "Analyze LINK" | 3 agents in parallel: market + technical + news |
| "Should I buy BTC? Full analysis" | 5-agent team with phased execution and final decision |
| "Check my portfolio" | Portfolio manager reviews positions and P&L |
| "Check my predictions" | Learning agent validates predictions against current prices |
| "Create a DeFi tracker" | System builder researches APIs and generates the component |
Each agent is a specialist with its own model tier, tools, and instructions:
| Agent | Role | Model | What it uses |
|---|---|---|---|
| market-monitor | Live prices, volume, funding rates, whale alerts | Haiku (fast, cheap) | 5 exchanges via CCXT, CoinGecko, web search |
| technical-analyst | RSI, MACD, Bollinger, Ichimoku, patterns, signals | Sonnet | 38 technical indicators |
| news-sentiment | Breaking news, social mood, FUD/FOMO detection | Sonnet | Web search + web fetch (Claude's native NLP) |
| risk-specialist | Volatility, VaR, orderbook depth, spoofing detection | Sonnet | Microstructure analysis, correlation |
| portfolio-manager | Final EXECUTE/WAIT/REJECT decision, paper trading | Opus (smartest) | Reads all reports, manages portfolio state |
| learning-agent | Predictions, patterns, post-mortem | Opus | Tracks accuracy, evaluates setups, builds patterns |
| system-builder | Generate new MCP servers, agents, skills + tests | Opus | Researches APIs, reads existing patterns, generates code + tests |