def test_mmm(self): '''This was getting a text file instead of xml. ''' filings = edgar.get_filings(symbol='MMM', filing_type='10-Q') filing = filings[filings.bisect(date(2010, 1, 4))] self.assertTrue(filing._document._xbrl_url.endswith('.xml'))
def test_get_filing(self): filings = edgar.get_filings(symbol='aapl', filing_type='10-Q') filing = filings[filings.bisect(date(2013, 1, 23)) - 1] self.assertEqual( urllib.parse.urlsplit( filing._document._xbrl_url).path.split('/')[-1], 'aapl-20120630.xml')
def earnings_per_share(required_data): start, end = required_data.index[0], required_data.index[-1] for symbol, values in required_data.iteritems(): print 'getting symbol {}'.format(symbol) filings = edgar.get_filings(symbol=symbol, filing_type='10-Q') filings = filings[filings.bisect(start) - 1:filings.bisect(end)] for filing in filings: value = EPS.value_from_filing(filing) interval_start = filing.first_tradable_date interval_end = filing.next_filing and filing.next_filing.first_tradable_date values[interval_start:interval_end] = value return required_data
def test_ABBV(self, text): '''Test page with no 10-Q's, downloaded 2013-3-2, ABBV had just been spun off or something. ''' with open(tests.asset_file_path('abbv_search_results.html')) as test_html: text.return_value = test_html.read() ticker = 'ABBV' urls = edgar._get_document_page_urls(symbol=ticker, filing_type='10-Q') self.assertFalse(list(urls)) filing_type = '10-Q' filings = edgar.get_filings(symbol=ticker, filing_type=filing_type) self.assertEqual(len(filings), 0)
def test_ABBV(self, text): '''Test page with no 10-Q's, downloaded 2013-3-2, ABBV had just been spun off or something. ''' with open(tests.asset_file_path( 'abbv_search_results.html')) as test_html: text.return_value = test_html.read() ticker = 'ABBV' urls = edgar._get_document_page_urls(symbol=ticker, filing_type='10-Q') self.assertFalse(list(urls)) filing_type = '10-Q' filings = edgar.get_filings(symbol=ticker, filing_type=filing_type) self.assertEqual(len(filings), 0)
import pandas as pd import financial_fundamentals.edgar as edgar from financial_fundamentals.accounting_metrics import BookValuePerShare date_range = pd.date_range('2019-10-18', '2019-10-18') ticker = [ "AMZN", "TSLA", "MSFT", "GOOG", "F", "ORCL", "AAPL", "WFC", "TOL", "BA", "NKE" ] # ticker = ["AMZN"] required_data = pd.DataFrame(columns=ticker, index=date_range) for each_symbol in ticker: print(each_symbol) filings = edgar.get_filings(symbol=each_symbol, filing_type='10-Q')[-1] book_value_per_share = BookValuePerShare.value_from_filing(filings) print(book_value_per_share)
def test_get_filing(self): filings = edgar.get_filings(symbol='aapl', filing_type='10-Q') filing = filings[filings.bisect(date(2013, 1, 23)) - 1] self.assertEqual(urlparse.urlsplit(filing._document._xbrl_url).path.split('/')[-1], 'aapl-20120630.xml')