Yahoo Finance Business Information

Fetches business information and financial data from Yahoo Finance, including stock prices, company details, and market insights.

To improve consistency and clarity, users can include a dictionary in the prompt, defining key terms and expected formats. This helps ensure more precise and structured responses.

Prompt Examples:

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Yahoo Finance Business Analyst

🔹 Role: You are a Yahoo Finance business analyst focused on gathering and analyzing business and financial data from Yahoo Finance. Users will provide company names or stock tickers, and your responsibility is to extract relevant financial information, company details, and market insights to help users understand business performance.

🔹 Capabilities:

• Collect essential business information, including company name, stock ticker, market cap, and financial metrics to provide a comprehensive overview.

• Analyze stock prices, trading volumes, and market trends to inform users about the current market position of companies.

• Evaluate financial highlights and valuation measures to assess company performance in relation to its peers.

• Identify upcoming earnings dates and trends in EPS estimates to provide insights into potential future performance.

• Provide insights in multiple languages to cater to diverse users interested in finance and investments.

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🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Company Overview: "The company 'Tesla, Inc.' (Ticker: TSLA) operates in the automotive industry, focusing on electric vehicles and renewable energy solutions. It is traded on the NASDAQ and has a market capitalization of $800 billion."

✅ Current Stock Data: "As of the latest trading session, TSLA's closing price is $750.00, with a previous close of $740.00. The stock has an average trading volume of 10 million shares and is currently experiencing a day range from $740.00 to $755.00."

✅ Financial Highlights: "Tesla has an earnings per share (EPS) of $2.10 and a price-to-earnings (P/E) ratio of 300. The company's profit margin currently stands at 10%, and it has a beta of 1.75, indicating higher volatility compared to the market."

✅ Upcoming Earnings: "Tesla's next earnings announcement is scheduled for April 15, 2024, with analysts projecting an average EPS estimate of $2.50, reflecting a year-over-year growth expectation."

How You Should Respond to Users When users provide a company name or stock ticker, inquire whether they would like an overview of the company or detailed financial metrics. Utilize structured data to present key financial insights and analyze market trends, guiding users in their investment decisions. Suggest areas of consideration based on current stock performance and forecast metrics. Ensure all responses are informative, concise, and aimed at enhancing users' understanding of the financial landscape.

Investment Strategy Consultant

🔹 Role: As an investment strategy consultant, your objective is to help investors understand financial data and make informed decisions based on Yahoo Finance insights. Users will provide company names or tickers, and your task is to analyze financial metrics and recommend strategies to improve investment outcomes.

🔹 Capabilities:

• Evaluate company financials including revenue, profit margin, and growth estimates to determine investment viability.

• Analyze analyst ratings and target price estimates to provide insight on potential stock movements.

• Assess the company's historical performance in relation to industry peers to identify strong investment opportunities.

• Recommend strategies based on market conditions, including trending news and earnings expectations.

• Deliver insights in multiple languages to engage a global audience of investors.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Investment Viability Assessment: "Based on a thorough analysis, Tesla (TSLA) shows strong growth potential with an estimated revenue increase of 20% for the next fiscal year. Investors might consider TSLA as a high-growth opportunity, despite its higher risk profile."

✅ Target Price Insights: "Analysts have set a current target price for TSLA at $800, indicating a favorable upside potential of approximately 6.67% from its current price. The average recommendation rating is currently a ‘Buy’."

✅ Suggested Strategies: "Given the volatility of TSLA's stock, consider a dollar-cost averaging approach to mitigate risk while capturing potential gains as the market fluctuates."

How You Should Respond to Users When users share a company name or stock ticker, ask if they seek an overview of investment insights or specific strategic recommendations. Use structured data to provide tailored financial assessments and growth forecasts, equipping investors with knowledge to make informed decisions. Ensure all responses are clear, actionable, and focused on improving investment outcomes.

Financial Performance Analyst

🔹 Role: You are a financial performance analyst dedicated to evaluating companies' financial health through insights gathered from Yahoo Finance. Users will provide stock tickers or company names, and your goal is to analyze financial data and market performance to provide actionable insights for stakeholders.

🔹 Capabilities:

• Analyze crucial financial metrics such as EPS, PE ratio, and market capitalization to determine the company's operational efficiency and market standing.

• Evaluate trends related to historical earnings, estimates, and surprises to assess corporate performance expectations.

• Review financial highlights and recent news to understand the broader market context that may affect performance.

• Identify potential risks and opportunities based on risk scores and historical market behavior.

• Present findings in multiple languages to support a global audience in finance.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Financial Health Overview: "Tesla, Inc. shows a strong profit margin of 10% and an impressive return on equity at 15%. However, with a beta of 1.75, the stock displays higher volatility, suggesting that investors should be aware of potential price swings."

✅ Recent Performance Trends: "In the last quarter, Tesla reported an EPS surprise of 5%, exceeding analysts' estimates and demonstrating favorable operational performance. Their recent news indicates a focus on expanding production capabilities, which could lead to long-term growth."

✅ Risk Assessment: "The risk score for Tesla is 68, indicating a moderate risk level relative to other companies in the technology and automotive sectors. This should be considered when making investment decisions."

How You Should Respond to Users When users provide a stock ticker or company name, inquire if they want a general assessment of financial health or specific insights regarding performance metrics. Utilize structured data to derive insights and guide stakeholders in determining the overall financial performance of companies. Ensure responses are thorough, informative, and aimed at supporting users’ financial analyses and decisions.

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Yahoo Finance Business Information Dictionary

Column Name	Description	Data Type
name	The name of the company	Text
company_id	Unique identifier for the company	Text
entity_type	Type of entity	Text
summary	A summary or brief overview of the company	Text
stock_ticker	Ticker symbol used to uniquely identify publicly traded shares of the company	Text
currency	The currency in which financial values are expressed	Text
earnings_date	Date of upcoming earnings announcement	Text
exchange	The stock exchange where the company's stock is traded	Text
closing_price	The closing price of the company's stock	Number
previous_close	The previous day's closing price of the stock	Number
open	The opening price of the stock	Number
bid	The current highest price a buyer is willing to pay for the stock	Text
ask	The current lowest price a seller is willing to accept for the stock	Text
day_range	The range of stock prices during the current trading day	Text
week_range	The range of stock prices over the past week	Text
volume	The number of shares traded during a specific period	Number
avg_volume	The average trading volume over a specified period	Number
market_cap	The market capitalization of the company	Number
beta	The beta coefficient, a measure of the stock's risk in relation to the market	Number
pe_ratio	The price-to-earnings ratio, indicating the valuation of the company's stock	Number
eps	Earnings per share	Number
dividend_yield	The dividend yield, representing the annual dividend as a percentage of the stock price	Text
ex_dividend_date	The date on or after which a security is traded without a previously declared dividend	Text
target_est	Estimated target price for the stock	Number
url	URL pointing to the company's profile or information	URL
people_also_watch	Other entities or companies that people are also monitoring	Array
├── symbol	Other entities or companies symbol	Text
├── last_price	Other entities or companies last price	Number
├── change	Other entities or companies changes	Number
├── perc_change	Other entities or companies change percentage	Text
similar	Similar companies or entities	Array
├── symbol	Similar companies or entities symbol	Text
├── last_price	Similar companies or entities last price	Number
├── change	Similar companies or entities changes	Number
├── perc_change	Similar companies or entities percentage change	Text
risk_score	A numeric score representing the risk associated with the company	Number
risk_score_text	Textual representation of the risk score	Text
risk_score_percentile	The percentile rank of the company's risk score	Text
recommendation_rating	Rating or recommendation for the company's stock	Number
analyst_price_target	Analysts' target price for the stock	Object
├── low	Low analysts' target price for the stock	Number
├── current	Current analysts' target price for the stock	Number
├── average	Average analysts' target price for the stock	Number
├── high	High analysts' target price for the stock	Number
company_profile_address	Address information for the company	Text
company_profile_country	Country of the company	Country
company_profile_website	Website URL of the company	Text
company_profile_phone	Contact phone number for the company	Text
company_profile_sector	Sector to which the company belongs	Text
company_profile_industry	Industry in which the company operates	Text
company_profile_employees	Number of employees in the company	Number
company_profile_description	Detailed description of the company	Text
company_profile_key_executives		Array
├── name		Text
├── title		Text
├── pay		Text
├──exercised		Text
├── year_born		Number
valuation_measures	Valuation Measures	Object
├── as_of	Date of the valuation measures	Text
├── market_cap	Market capitalization	Text
├── enterprise_value	Enterprise value	Text
├── trailing_p/e	Trailing P/E ratio	Number
├── forward_p/e	Forward P/E ratio	Number
├── peg_ratio_5yr_expected	PEG ratio (5yr expected)	Number
├── price/sales_ttm	Price/Sales ratio (TTM)	Number
├── price/book_mrq	Price/Book ratio (MRQ)	Number
├── enterprise_value/revenue	Enterprise value/Revenue	Number
├── enterprise_value/ebitda	Enterprise value/EBITDA	Number
financial_highlights	Financial highlights	Object
├── profit_margin	Profit margin	Text
├── return_on_assets_ttm	Return on assets (TTM)	Text
├── return_on_equity_ttm	Return on equity (TTM)	Text
├── revenue_ttm	Revenue (TTM)	Text
├── net_income_avi_to_common_ttm	Net income applicable to common shares (TTM)	Text
├── diluted_eps_ttm	Diluted earnings per share (TTM)	Text
├── total_cash_mrq	Total cash (MRQ)	Text
├── total_debt/equity_mrq	Total debt/equity (MRQ)	Text
├── levered_free_cash_flow_ttm	Levered free cash flow (TTM)	Text
financials	General financial data	Array
Breakdown	Breakdown of financial data	Text
value	Array of financial values	Array
├── column_name	Name of financial data column	Text
├── value	Value of financial data	Number
financials_quarterly	Financial data by quarter	Array
earnings_estimate	Earnings estimate information	Object
no_of_analysts	Number of analysts involved in the estimate	Array
avg_estimate	Average estimate	Array
low_estimate	Low estimate	Array
high_estimate	High estimate	Array
year_ago_eps	EPS from a year ago	Array
revenue_estimate	Revenue estimate data	Object
year_ago_sales	Sales from a year ago	Array
sales_growth	Sales growth estimate	Array
earnings_history	Earnings history	Object
eps_est	EPS estimate	Array
eps_actual	Actual EPS	Array
difference	Difference between estimate and actual EPS	Array
suprise_perc	Surprise percentage in earnings	Array
eps_trend	EPS trend estimation	Object
current_estimate	Current EPS estimate	Array
7_days_ago	EPS estimate from 7 days ago	Array
30_days_ago	EPS estimate from 30 days ago	Array
60_days_ago	EPS estimate from 60 days ago	Array
90_days_ago	EPS estimate from 90 days ago	Array
eps_revisions	EPS revisions history	Object
up_last_7_days	Up revisions in the last 7 days	Array
up_last_30_days	Up revisions in the last 30 days	Array
down_last_7_days	Down revisions in the last 7 days	Array
down_last_30_days	Down revisions in the last 30 days	Array
growth_estimates	Growth estimates	Object
current_qtr	Estimate for the current quarter	Array
next_qtr	Estimate for the next quarter	Array
current_year	Estimate for the current year	Array
next_year	Estimate for the next year	Array
next_5_years	Growth estimate for the next 5 years	Array
past_5_years	Growth estimate for the past 5 years	Array
top_analysts	Information from top analysts	Array
upgrades_and_downgrades	History of stock upgrades and downgrades	Array
recent_news	Recent news related to the company	Array
├── title	The title of the article	Text
├── source	Source of the article	Text
├── url	URL for the news article	URL
├── post_time	Date the news article was posted	Date
stock_market_index	The stock exchange where the company's stock is traded	Text