7/28/2023 0 Comments Tsla options chain![]() The current analytical data (including greeks and implied greeks) suggest the current odds of that happening are 48%. Please drop me an note with any feedback you have.Considering the fact that the $197.50 strike represents an approximate 1% premium to the current trading price of the stock (in other words it is out-of-the-money by that percentage), there is also the possibility that the covered call contract would expire worthless, in which case the investor would keep both their shares of stock and the premium collected. You should refer to Yahoo!'s terms of useĭetailes on your rights to use the actual data downloaded. Intended for research and educational purposes. It'sĪn open-source tool that uses Yahoo's publicly available APIs, and is The LICENSE.txt file in the release for details.ĪGAIN - yfinance is not affiliated, endorsed, or vetted by Yahoo, Inc. Yfinance is distributed under the Apache Software License. Yfinance relies on community to investigate bugs and contribute code. Optional (if you want to use pandas_datareader) $ pip install yfinance -upgrade -no-cache-dir -pre Same format as pandas_datareader's get_data_yahoo(). Method to use yfinance while making sure the returned data is in the If your code uses pandas_datareader and you want to download dataįaster, you can "hijack" pandas_data_yahoo() How to download single or multiple tickers into a singleĭataframe with single level column names and a ticker column.How to correctly read the the multi-level columns after. ![]() ![]() Names, with a level for the ticker and a level for the stock price yfinance returns a pandas.DataFrame with multi-level column.The following answer on Stack Overflow is for How to deal with SECOND * 5)), # max 2 requests per 5 seconds bucket_class = MemoryQueueBucket,īackend = SQLiteCache( "yfinance.cache"), Limiter = Limiter( RequestRate( 2, Duration. If you want to use a proxy server for downloading data, use:įrom requests import Session from requests_cache import CacheMixin, SQLiteCache from requests_ratelimiter import LimiterMixin, MemoryQueueBucket from pyrate_limiter import Duration, RequestRate, Limiter class CachedLimiterSession( CacheMixin, LimiterMixin, Session): # data available via: opt.calls, opt.puts news # get option chain for specific expiration opt = msft. earnings_dates # show ISIN code - *experimental* # ISIN = International Securities Identification Number msft. # Note: If more are needed use msft.get_earnings_dates(limit=XX) with increased limit argument. mutualfund_holders # Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default. quarterly_cashflow # see `Ticker.get_income_stmt()` for more options # show holders msft. quarterly_balance_sheet # - cash flow statement msft. quarterly_income_stmt # - balance sheet msft. # show financials: # - income statement msft. capital_gains # only for mutual funds & etfs # show share count msft. history_metadata # show actions (dividends, splits, capital gains) msft. # show meta information about the history (requires history() to be called first) msft. info # get historical market data hist = msft.
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