earnings-recap

# Earnings Recap Skill Generates a post-earnings analysis using Yahoo Finance data via [yfinance](https://github.com/ranaroussi/yfinance). Covers the actual vs estimated numbers, surprise magnitude, stock price reaction, and financial context — a complete picture of what happened. **Important**: Data is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc. --- ## Step 1: Ensure yfinance Is Available **Current environment status:** ``` !`python3 -c "exec('try:\n import yfinance\n print(\'yfinance \' + yfinance.__version__ + \' installed\')\nexcept Exception:\n print(\'YFINANCE_NOT_INSTALLED\')')"` ``` If `YFINANCE_NOT_INSTALLED`, install it: ```python import subprocess, sys subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"]) ``` If already installed, skip to the next step. --- ## Step 2: Identify the Ticker and Gather Data Extract the ticker from the user's request. Fetch all relevant post-earnings data in one script. ```python import yfinance as yf import pandas as pd from datetime import datetime, timedelta ticker = yf.Ticker("AAPL") # replace with actual ticker # --- Earnings result --- earnings_hist = ticker.earnings_history # --- Financial statements --- quarterly_income = ticker.quarterly_income_stmt quarterly_cashflow = ticker.quarterly_cashflow quarterly_balance = ticker.quarterly_balance_sheet # --- Price reaction --- # Get ~30 days of history to capture the reactio...