Stock Quote skill

Stock Quote

Fetch current stock data from Yahoo Finance.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

Run the quote script with the ticker symbol:

uv run python scripts/quote.py SYMBOL

Replace SYMBOL with the requested ticker (e.g., AAPL, MSFT, TSLA, SPY).

Output

The script outputs JSON with:

• symbol, name, price, change, change_percent
• as_of_session - the trading date price/change belong to (YYYY-MM-DD, from Yahoo's regular-session timestamp; null if Yahoo omits it)
• market_open_now - whether the NYSE regular session is open right now
• market_state - Yahoo's session state: PRE, REGULAR, POST, CLOSED (also PREPRE/POSTPOST)
• pre_market, post_market - {price, change, change_percent, time} for extended-hours trading, or null. change is measured from the last regular close; time is the ET timestamp of that print
• volume, avg_volume, market_cap
• high_52w, low_52w, pe_ratio, forward_pe, dividend_yield, beta

Present the data in a readable format. Highlight significant moves (>2% change).

Before presenting change/change_percent as "today's move", check as_of_session against today's NY calendar date. Before the regular session opens (market_open_now: false and as_of_session is a prior date), Yahoo's change fields still describe the last completed session (yesterday's close vs. the day before) — not intraday movement in the still-unopened current session. In that case, label it as "as of <as_of_session> close", not "today". Once as_of_session equals today's date, change/change_percent are genuinely intraday.

Report the extended-hours move when there is one. Pre-market (market_state: PRE), lead with pre_market as the current move, then give the regular change as the prior session's close. After the close (POST), show post_market alongside the day's regular move. Check each block's time: a post_market print from the previous evening seen during pre-market is last night's move, not this morning's.

Dependencies

• yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.