vibe-tradingv0.1.13

A quantitative analyst develops and backtests a custom trading strategy for US equities using historical OHLCV data from yfinance. The tool's vectorized backtest engine provides key metrics like Sharpe ratio, max drawdown, and annualized return, enabling rapid iteration of strategy parameters without needing any API keys for US markets.

An investment firm uses the multi-agent swarm team 'Investment Committee' to conduct a comprehensive review of a potential position in NVDA. The swarm simulates a bull/bear debate, risk review, and portfolio manager decision, integrating cross-market data (US equities, crypto) and producing a final report with risk assessment and recommendation.

A crypto trading team leverages the 'Crypto Trading Desk' swarm preset to monitor funding rates, liquidation heatmaps, and stablecoin flows. The analysis helps identify market sentiment and potential liquidation cascades, enabling more informed risk management and trading decisions in the crypto market.

A portfolio manager uses the options analysis tool to price a 90-day call option with Black-Scholes, compute Greeks, and evaluate hedging strategies. The tool requires no API keys for calculating options prices and Greeks, making it accessible for quick risk assessments and multi-leg strategy design.

A quantitative researcher performs factor analysis on CSI 300 constituents using the PE_TTM factor from 2023-2024. The tool computes IC/IR statistics and layered backtest results to identify effective factors, requiring only a Tushare token for A-share data access.

Offer the MCP server as a paid skill package within agent platforms like Claude Desktop or Cursor, charging a monthly subscription fee. The 15 tools that work without API keys provide immediate value, while the swarm feature requires an LLM key, potentially driving upsells.

License the full toolkit to hedge funds, asset managers, and trading desks as a unified platform for backtesting, factor research, and multi-agent research. The 64 skills and 29 swarm presets replace multiple fragmented tools, offering cost savings and efficiency.

Provide a free API tier with core tools (backtest, market data, options) for individual developers, and charge for access to the multi-agent swarm teams. The free tier builds adoption, while the swarm feature (requiring user's own LLM key) is monetized via usage-based pricing.