Skills

Stock Research History

Reads saved stock research and backtests for a ticker, keeping dates and risk notes.

Install

npx skills add koala73/worldmonitor --skill research-stocks -g -a claude-code -y
Repository
koala73/worldmonitor89.9k
Category
Business
Updated
3d ago
License
AGPL-3.0
Context cost
Lightabout 864 tokens
Runs scripts
No, instructions only

What it does

Read current stock research, technical backtests, saved analyses or saved backtests. Use for a named ticker or watchlist research history; preserve source dates, model limitations and risk factors.

research-stocks

Use when the user asks to research a stock, inspect a technical backtest or review saved research for a watchlist. Use get-market-quotes for a simple current quote. Research and simulation results do not establish future returns or place trades.

Connected plugin

Call get_stock_research on the connected WorldMonitor MCP server at https://worldmonitor.app/mcp. Use the user's existing connection; do not ask them to paste an API key into chat. This tool requires a subscription. Explain an access denial and stop; do not retry through a different credential path.

OperationArgumentsBehavior
analysissymbols: ["AAPL"], optional include_newsCurrent analysis; exactly one ticker. Default no news. Cold generation may use an LLM and save a shared research snapshot.
backtestsymbols: ["AAPL"], optional eval_window_daysTechnical simulation; exactly one ticker. Default 10 trading days, range 3..30. May generate and save a shared result.
historysymbols: ["AAPL", "MSFT"], optional limit_per_symbol, include_newsRead saved analyses. Default four snapshots per ticker, range 1..32. Default no news.
stored-backtestssymbols: ["AAPL", "MSFT"], optional eval_window_daysRead saved backtests without generating new ones. Default ten trading days.

Stored-result operations accept up to 50 symbols. Use only options supported by the chosen operation. Never silently drop requested tickers; narrow the batch or use jmespath if the output budget is exceeded.

Read the whole SKILL.md on GitHub

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