Summary
Market questions answered at the level you would ask them.
Price, history, options and the three indicators people actually quote sit behind one connection, so 'how does its RSI look against its moving average' is one exchange rather than a spreadsheet. Repeat questions come from cache; clear it when the answer has to be current.
What it is
Market data on demand from Yahoo Finance: current and historical prices, options chains, company news and dividends, with a few indicators calculated for you.
What you get
- Current price and basic market metrics for a symbol
- Historical price series over a period and interval you choose
- Options chains with strikes, prices and volume, sorted and limited by expiry
- Recent company news headlines
- Dividend history, 5 years by default
- Moving averages over a period you pick, simple or otherwise
- Relative Strength Index, over its default window or one you set
- Sharpe ratio against a risk-free rate you set
- Several symbols compared on a chosen metric
- A cache clear, for when the number has to be fresh rather than reused
Requirements
Python with mcp[cli], yfinance, pandas and numpy installed. No account and no API key — the data comes from Yahoo Finance.
Setup effort
One command — pip install "mcp[cli]" yfinance pandas numpy
