Imported from brainbytes-dev/everything-claude-trading (
AGENTS.md). Install upstream withnpx skills add brainbytes-dev/everything-claude-trading. Copyright stays with the author.
Agent Orchestration Guide
This document defines all 18 specialized agents in the Everything Claude Trading plugin, their roles, orchestration rules, and multi-agent workflows.
Agents
| # | Agent | Model | Purpose | When to Use |
|---|---|---|---|---|
| 1 | quant-researcher |
opus | Signal research, factor models, alpha generation | Researching new alpha signals, building predictive models, analyzing alternative data |
| 2 | algo-strategist |
opus | Systematic strategy design, execution algos | Designing systematic strategies, defining entry/exit rules, building execution algorithms |
| 3 | risk-manager |
opus | VaR, stress testing, exposure management | Calculating risk metrics, running stress tests, monitoring portfolio exposure limits |
| 4 | derivatives-analyst |
opus | Options pricing, vol surfaces, exotics | Pricing derivatives, building volatility surfaces, analyzing exotic structures |
| 5 | portfolio-manager |
opus | Allocation, optimization, rebalancing | Constructing portfolios, running optimizations, scheduling rebalances |
| 6 | technical-analyst |
sonnet | Chart patterns, indicators, price action | Identifying chart patterns, computing technical indicators, analyzing price action |
| 7 | market-microstructure |
opus | Order flow, liquidity, market making | Analyzing order book dynamics, measuring liquidity, designing market-making strategies |
| 8 | stat-arb-specialist |
opus | Pairs trading, cointegration, mean reversion | Finding cointegrated pairs, calibrating mean-reversion models, managing stat-arb books |
| 9 | options-strategist |
opus | Spreads, hedging, vol trading | Constructing option spreads, designing hedges, expressing volatility views |
| 10 | backtesting-engineer |
sonnet | Walk-forward, Monte Carlo, overfitting checks | Running backtests, performing walk-forward analysis, detecting overfitting |
| 11 | financial-data-scientist |
opus | Feature engineering, ML models, alt data | Engineering features, training ML models, integrating alternative data sources |
| 12 | crypto-defi-analyst |
sonnet | On-chain analytics, DEX, yield, tokenomics | Analyzing on-chain data, evaluating DeFi protocols, assessing token economics |
| 13 | fixed-income-analyst |
opus | Bonds, yield curves, duration, credit spreads | Analyzing bond markets, fitting yield curves, measuring duration and credit risk |
| 14 | fx-strategist |
opus | Currency pairs, carry trade, macro drivers | Analyzing FX markets, evaluating carry strategies, assessing macro currency drivers |
| 15 | commodities-analyst |
sonnet | Futures curves, seasonality, supply/demand | Analyzing commodity futures curves, identifying seasonal patterns, tracking supply/demand |
| 16 | volatility-trader |
opus | Vol surface, term structure, skew, VIX | Trading volatility, analyzing term structure, monitoring skew and VIX dynamics |
| 17 | execution-specialist |
sonnet | Slippage, TWAP/VWAP, smart routing | Minimizing execution costs, designing TWAP/VWAP schedules, routing orders |
| 18 | regulatory-compliance |
sonnet | MiFID II, Dodd-Frank, position limits | Checking regulatory compliance, validating position limits, generating compliance reports |
Orchestration Rules
- Risk gate — The
risk-manageragent must review and approve any strategy or trade before it proceeds to execution. No exceptions. - Compliance check — The
regulatory-complianceagent must validate all strategies against applicable regulations before deployment. - Backtest requirement — The
backtesting-engineermust validate any systematic strategy before it is considered for live trading. - Specialist routing — Route tasks to the most specialized agent. Do not use
quant-researcherfor options pricing; usederivatives-analyst. - Escalation — If an agent encounters a question outside its domain, it must hand off to the appropriate specialist rather than guessing.
- Audit trail — All agent decisions, handoffs, and approvals must be logged for post-trade review.
Multi-Agent Workflows
Strategy Development Flow
quant-researcher → algo-strategist → backtesting-engineer → risk-manager
- quant-researcher identifies candidate alpha signals and validates statistical significance.
- algo-strategist designs the systematic strategy with entry/exit rules, position sizing, and execution logic.
- backtesting-engineer runs walk-forward backtests, Monte Carlo simulations, and overfitting diagnostics.
- risk-manager evaluates drawdown profiles, tail risk, and exposure limits. Approves or rejects.
Options Trade Flow
derivatives-analyst → options-strategist → risk-manager → execution-specialist
- derivatives-analyst prices the instruments, builds the vol surface, and computes Greeks.
- options-strategist constructs the optimal spread or hedge structure.
- risk-manager stress-tests the position under adverse scenarios and verifies margin requirements.
- execution-specialist determines optimal execution timing and venue selection.
Crypto Analysis Flow
crypto-defi-analyst → risk-manager → execution-specialist
- crypto-defi-analyst performs on-chain analysis, evaluates protocol risk, and assesses tokenomics.
- risk-manager quantifies smart contract risk, liquidity risk, and counterparty exposure.
- execution-specialist plans execution across DEXs and CEXs, accounting for slippage and gas costs.
Portfolio Rebalance Flow
portfolio-manager → risk-manager → execution-specialist
- portfolio-manager runs optimization, determines target weights, and generates the rebalance trade list.
- risk-manager validates that the new allocation meets risk limits and stress-test thresholds.
- execution-specialist schedules trades to minimize market impact and transaction costs.
Compliance Guidelines
- All strategies must be reviewed against MiFID II transaction reporting requirements.
- Position limits per Dodd-Frank must be checked for commodity and swap positions.
- Short-selling restrictions and locate requirements must be verified before execution.
- Best execution obligations must be documented for every trade.
- All algorithmic trading systems must have kill switches and risk circuit breakers.
Quality Standards
- Signal significance: Minimum t-stat of 2.0 for any alpha signal before further development.
- Backtest integrity: Walk-forward analysis with at least 3 out-of-sample windows required.
- Sharpe ratio: Strategies must demonstrate net Sharpe > 1.0 after transaction costs in backtests.
- Maximum drawdown: No strategy may exceed a 20% peak-to-trough drawdown in backtests without explicit risk-manager approval.
- Code review: All strategy code must be reviewed by a second agent before deployment.
- Data quality: All market data must pass validation checks (gap detection, outlier filtering, corporate action adjustment) before use.
Project Structure
everything-claude-trading/
.claude-plugin/
plugin.json # Plugin metadata
marketplace.json # Marketplace listing
agents/
quant-researcher/ # Signal research and alpha generation
algo-strategist/ # Systematic strategy design
risk-manager/ # Risk assessment and monitoring
derivatives-analyst/ # Options and derivatives pricing
portfolio-manager/ # Portfolio construction and optimization
technical-analyst/ # Technical analysis and indicators
market-microstructure/ # Order flow and liquidity analysis
stat-arb-specialist/ # Statistical arbitrage
options-strategist/ # Options strategy construction
backtesting-engineer/ # Backtesting and validation
financial-data-scientist/ # ML and feature engineering
crypto-defi-analyst/ # Crypto and DeFi analysis
fixed-income-analyst/ # Fixed income and credit
fx-strategist/ # Foreign exchange strategies
commodities-analyst/ # Commodities and futures
volatility-trader/ # Volatility trading
execution-specialist/ # Trade execution optimization
regulatory-compliance/ # Regulatory compliance checks
skills/ # 82 trading and quant skills
commands/ # 20 slash command definitions
CLAUDE.md # Project overview
AGENTS.md # This file