earnings-preview

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Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.

Code & Development 3,309 stars 377 forks Updated 2 weeks ago MIT

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Skill Content

# Earnings Preview Skill Generates a pre-earnings briefing using Yahoo Finance data via [yfinance](https://github.com/ranaroussi/yfinance). Pulls together upcoming earnings date, consensus estimates, historical accuracy, analyst sentiment, and key financial context — everything you need before an earnings call. **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 All Data Extract the ticker symbol from the user's request. If they mention a company name without a ticker, look it up. Then fetch all relevant data in one script to minimize API calls. ```python import yfinance as yf import pandas as pd from datetime import datetime ticker = yf.Ticker("AAPL") # replace with actual ticker # --- Core data --- info = ticker.info calendar = ticker.calendar # --- Estimates --- earnings_est = ticker.earnings_estimate revenue_est = ticker.revenue_estimate # --- Historical track record --- earnings_hist...

Details

Author
himself65
Repository
himself65/finance-skills
Created
6 months ago
Last Updated
2 weeks ago
Language
JavaScript
License
MIT

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