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Yahoo finance sp50011/18/2023 ![]() They were pretty cushiony, well, well done.īut at the end of the day, the store footprints as well, and we talked about how much of that store footprint was also leaning into trying to move through much of those mirror devices and try to use that as a selling opportunity, it didn't work. And I can't wait to finally get, perhaps, next summer some of the flip-flops in the men's category. Right now, it's up by about 27%.īut you think about what it's going to take over these next few years, and the targets that they've set forth in order to double digital, in order to make sure that even in their categories, they're seeing expansion, whether that's footwear. And year to date, they're performing well. ![]() But, besides that, taking a look at Lululemon, not just the past two days, but over the course of this year, and you think about the decision making that has come about, strategically, and this broader kind of power of three times two that they lean into. I didn't even realize I was wearing my Lulu jacket for this conversation today. So certainly things, it seems to be looking up here for Lululemon. Their DTC business, which has been a growing focal point here for the company up just about 15%, and then that recent deal with Peloton. But at this point, you're looking at Lululemon their second quarter. We talk about the fact that demand for Lululemon right now doesn't seem to be at least too pressured by some of the more macroeconomic pressures that we are seeing other retailers grapple with. Please drop me an note with any feedback you have.That's thanks to better than expected second quarter earnings. 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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