yf_docs = """
# YFinance UPDATED API DOCUMENTATION
# Always refer the following updated documentation for writing python code to call yf api
## Single Ticker Usage

```python
import yfinance as yf
ticker = yf.Ticker('MSFT')
data = ticker.history(period='6mo')
data.columns, data.shape 
```
Returns:
```python
(Index(['Open', 'High', 'Low', 'Close', 'Volume', 'Dividends', 'Stock Splits'], dtype='object'),
 (126, 7))
 ```
## Multi-Ticker Usage

# Get historical market data for multiple tickers:

```python
tickers = yf.Tickers('MSFT AAPL')
data = tickers.history(period='6mo')
data.columns,data.shape
```

Returns:
```python
(MultiIndex([(       'Close', 'AAPL'),
             (       'Close', 'MSFT'),
             (   'Dividends', 'AAPL'),
             (   'Dividends', 'MSFT'),
             (        'High', 'AAPL'),
             (        'High', 'MSFT'),
             (         'Low', 'AAPL'),
             (         'Low', 'MSFT'),
             (        'Open', 'AAPL'),
             (        'Open', 'MSFT'),
             ('Stock Splits', 'AAPL'),
             ('Stock Splits', 'MSFT'),
             (      'Volume', 'AAPL'),
             (      'Volume', 'MSFT')],
            names=['Price', 'Ticker']),
 (126, 14))
```

### News

Get news for multiple tickers:

```python
tickers = yf.Tickers('MSFT AAPL GOOG')
news = tickers.news()
```

Returns:
```python

- MSFT: list
- AAPL: list
- GOOG: list
```

## Single Ticker Methods

### Info

```python
ticker.info
```

Returns:
```python

- address1: str
- city: str
- state: str
- zip: str
- country: str
- phone: str
- website: str
- industry: str
- industryKey: str
- industryDisp: str
- sector: str
- sectorKey: str
- sectorDisp: str
- longBusinessSummary: str
- fullTimeEmployees: int
- companyOfficers: list
- auditRisk: int
- boardRisk: int
- compensationRisk: int
- shareHolderRightsRisk: int
- overallRisk: int
- governanceEpochDate: int
- compensationAsOfEpochDate: int
- irWebsite: str
- maxAge: int
- priceHint: int
- previousClose: float
- open: float
- dayLow: float
- dayHigh: float
- regularMarketPreviousClose: float
- regularMarketOpen: float
- regularMarketDayLow: float
- regularMarketDayHigh: float
- dividendRate: float
- dividendYield: float
- exDividendDate: int
- payoutRatio: float
- fiveYearAvgDividendYield: float
- beta: float
- trailingPE: float
- forwardPE: float
- volume: int
- regularMarketVolume: int
- averageVolume: int
- averageVolume10days: int
- averageDailyVolume10Day: int
- bid: float
- ask: float
- bidSize: int
- askSize: int
- marketCap: int
- fiftyTwoWeekLow: float
- fiftyTwoWeekHigh: float
- priceToSalesTrailing12Months: float
- fiftyDayAverage: float
- twoHundredDayAverage: float
- currency: str
- enterpriseValue: int
- profitMargins: float
- floatShares: int
- sharesOutstanding: int
- sharesShort: int
- sharesShortPriorMonth: int
- sharesShortPreviousMonthDate: int
- dateShortInterest: int
- sharesPercentSharesOut: float
- heldPercentInsiders: float
- heldPercentInstitutions: float
- shortRatio: float
- shortPercentOfFloat: float
- impliedSharesOutstanding: int
- bookValue: float
- priceToBook: float
- lastFiscalYearEnd: int
- nextFiscalYearEnd: int
- mostRecentQuarter: int
- earningsQuarterlyGrowth: float
- netIncomeToCommon: int
- trailingEps: float
- forwardEps: float
- lastSplitFactor: str
- lastSplitDate: int
- enterpriseToRevenue: float
- enterpriseToEbitda: float
- 52WeekChange: float
- SandP52WeekChange: float
- lastDividendValue: float
- lastDividendDate: int
- exchange: str
- quoteType: str
- symbol: str
- underlyingSymbol: str
- shortName: str
- longName: str
- firstTradeDateEpochUtc: int
- timeZoneFullName: str
- timeZoneShortName: str
- uuid: str
- messageBoardId: str
- gmtOffSetMilliseconds: int
- currentPrice: float
- targetHighPrice: float
- targetLowPrice: float
- targetMeanPrice: float
- targetMedianPrice: float
- recommendationMean: float
- recommendationKey: str
- numberOfAnalystOpinions: int
- totalCash: int
- totalCashPerShare: float
- ebitda: int
- totalDebt: int
- quickRatio: float
- currentRatio: float
- totalRevenue: int
- debtToEquity: float
- revenuePerShare: float
- returnOnAssets: float
- returnOnEquity: float
- grossProfits: int
- freeCashflow: int
- operatingCashflow: int
- earningsGrowth: float
- revenueGrowth: float
- grossMargins: float
- ebitdaMargins: float
- operatingMargins: float
- financialCurrency: str
- trailingPegRatio: float
```

### Financial Statements

#### Income Statement

```python
ticker.income_stmt
```

Returns:
```python

DataFrame with columns: [Timestamp('2024-06-30 00:00:00'), Timestamp('2023-06-30 00:00:00'), Timestamp('2022-06-30 00:00:00'), Timestamp('2021-06-30 00:00:00')]
Shape: (47, 4)

```

## Common Parameters

### Period Options

- `1d`: 1 day
- `5d`: 5 days
- `1mo`: 1 month
- `3mo`: 3 months
- `6mo`: 6 months
- `1y`: 1 year
- `2y`: 2 years
- `5y`: 5 years
- `10y`: 10 years
- `ytd`: Year to date
- `max`: Maximum available data

### Interval Options

- `1m`: 1 minute
- `2m`: 2 minutes
- `5m`: 5 minutes
- `15m`: 15 minutes
- `30m`: 30 minutes
- `60m`: 60 minutes
- `90m`: 90 minutes
- `1h`: 1 hour
- `1d`: 1 day
- `5d`: 5 days
- `1wk`: 1 week
- `1mo`: 1 month
- `3mo`: 3 months
"""