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توضیحات

Use Stock Earnings Data to formulate strategies

ویژگی	مقدار
سیستم عامل	-
نام فایل	earningstrats-0.1.6
نام	earningstrats
نسخه کتابخانه	0.1.6
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Wooju Yim
ایمیل نویسنده	woojuyim126@gmail.com
آدرس صفحه اصلی	https://github.com/woojuyim/earningstrats
آدرس اینترنتی	https://pypi.org/project/earningstrats/
مجوز	Apache License

# Earnings Strategies and Stock Data This package shows multiple data for stocks nearing earnings like its expected move, historical earnings effect, the Gaussian probability of an option being assigned, etc. This package allows traders to conveniently formulate the best strategies for any stock with earnings every day. Check Today is the aggregate function that contain all the necessary information such as the list of companies with earnings, combined option chain, and historical earnings price effect to help trade stocks with earnings for that day. It pretty-prints its output to HTML files, allowing for a quick and convenient scan. ## Common Strategies ### Expected Move > Earning's Effect Estimate - Gain from Gamma Crush - Selling CSP - Selling Straddles and Strangles - Iron Condor or Butterfly ### Expected Move < Earning's Effect Estimate even accommodating Gamma Risk - Buying Undervalued Options - Buying Spreads <br></br> ## Quick Start <strong> Functions return pandas DataFrame unless specified elsewise </strong> ### Today_Data ```python import earningstrats.today_data as td """ Returns tuple of today AMC and tomorrow BMO companies' put option chain and historical earnings price effect Change days_added to shift day by that much. Customize minimum volume sum and stock price [0] - OTM Put option Chain [1] - Historical earnings price effect = Change period to change how far back historical price effect shows Outputs to today_companies.html, today_options.html, today_price_effect.html """ td.check_today(period = "5y", day_shift = 0, min_vol_sum = 3000, min_stock_price = 10) ``` ### Earnings ```python import earningstrats.earnings as ea """ Get a stock's historical earnings price effect. Calculates earnings effect from market close -> next day open and next day close Change period to change how far back historical price effect shows """ ea.get_stock_earnings_price_effect(symbol, period = "5y") """ Get all the stocks with earnings today AMC or tomorrow BMO """ ea.get_companies_with_earnings_today_AMC_or_tomm_BMO(day_shift = 0, min_vol_sum = 3000, min_stock_price = 10) ``` ### Options ```python import earningstrats.options as opd """ Get Expected Move for a stock for the earliest option deadline. Returns tuple [0] - IV Expected Move [1] - ATM Straddle Expected Move [2] - ATM Straddle + 1st Strangle Expected Move [3] - Aggregate Estimate of Stock Expected Move (Used in calculations) """ opd.get_expected_move(symbol) """ Gets the put option chain. Defaults to finding only OTM puts. Set price_ceiling to set cutoff Contains the Gaussian probability of option being assigned as well as the expected moves of a stock """ opd.get_put_option_chain(symbol, price_ceiling = -1) # Get current stock price of stock opd.get_current_stock_price(symbol) # Get days left until earliest option expiration opd.get_days_to_expiration(symbol) # Get the earliest expiration option chain opd.get_earliest_deadline_options_chain(symbol) # Get the entire put option chain opd.get_all_put_options(symbol) ``` ### Option_Set ```python import earningstrats.option_set as ops # Returns a set of stocks with weekly options ops.get_stocks_with_weekly_options() # Returns a set of stocks with options ops.get_stocks_with_options() ``` ## License earningstrats is distributed under the Apache Software License. See the LICENSE file in the release for details

نحوه نصب

نصب پکیج whl earningstrats-0.1.6:

pip install earningstrats-0.1.6.whl

نصب پکیج tar.gz earningstrats-0.1.6:

pip install earningstrats-0.1.6.tar.gz