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# This file contains the bad queries for endpoint testing. |
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bad_queries = [ |
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{ |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='validate_symbols', |
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symbols='' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='historical_prices', |
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symbol='qwerty123456', |
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interval='1h', |
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startDate=1609502400, |
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endDate=1612180800, |
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events=False, |
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extHours=True |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='historical_prices', |
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symbol='qwerty123456', |
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interval='1wk', |
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range='1y' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='options', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='options', |
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symbol='qwerty123456', |
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startDate=1609502400, |
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endDate=1612180800, |
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straddle=False, |
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getAllData=True, |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='shares_outstanding', |
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symbol='qwerty123456', |
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startDate=1609502400, |
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endDate=1612180800 |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='shares_outstanding', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='insights', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='quotes_overview', |
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symbols='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='esg_chart', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='quote_type', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='news' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='recommendations', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='esg_scores', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='purchase_activity', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='earnings', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='price_overview', |
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symbol='qwerty123456' |
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) |
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135
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='calendar_events', |
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symbol='qwerty123456' |
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141
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) |
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142
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='company_overview', |
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symbol='qwerty123456' |
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148
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) |
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149
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='sec_filings', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='detailed_summary', |
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symbol='qwerty123456' |
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162
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) |
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163
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='financials', |
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symbol='qwerty123456' |
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) |
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170
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='recommendation_trend', |
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symbol='qwerty123456' |
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) |
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='ratings_history', |
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symbol='qwerty123456' |
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183
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) |
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184
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='earnings_history', |
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symbol='qwerty123456' |
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) |
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191
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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'query': dict( |
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endpoint='earnings_trend', |
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symbol='qwerty123456' |
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197
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) |
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198
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}, { |
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'expected_error': True, |
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200
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'expected_data': False, |
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201
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'query': dict( |
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endpoint='key_statistics', |
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203
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symbol='qwerty123456' |
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204
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) |
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205
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}, { |
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206
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'expected_error': True, |
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207
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'expected_data': False, |
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208
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'query': dict( |
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209
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endpoint='income_statements', |
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210
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symbol='qwerty123456' |
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211
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) |
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212
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}, { |
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213
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'expected_error': True, |
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214
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'expected_data': False, |
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215
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'query': dict( |
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216
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endpoint='cashflow_statements', |
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217
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symbol='qwerty123456' |
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218
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) |
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219
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}, { |
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'expected_error': True, |
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221
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'expected_data': False, |
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222
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'query': dict( |
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223
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endpoint='balance_statements', |
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symbol='qwerty123456' |
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225
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) |
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226
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}, { |
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'expected_error': True, |
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228
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'expected_data': False, |
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229
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'query': dict( |
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endpoint='institution_ownership', |
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symbol='qwerty123456' |
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232
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) |
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233
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}, { |
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'expected_error': True, |
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'expected_data': False, |
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236
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'query': dict( |
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endpoint='fund_ownership', |
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symbol='qwerty123456' |
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239
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) |
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240
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}, { |
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241
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'expected_error': True, |
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242
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'expected_data': False, |
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243
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'query': dict( |
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244
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endpoint='major_holders', |
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245
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symbol='qwerty123456' |
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246
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) |
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247
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}, { |
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248
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'expected_error': True, |
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249
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'expected_data': False, |
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250
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'query': dict( |
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251
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endpoint='insider_transactions', |
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252
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symbol='qwerty123456' |
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253
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) |
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254
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}, { |
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255
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'expected_error': True, |
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256
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'expected_data': False, |
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257
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'query': dict( |
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258
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endpoint='insider_holders', |
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symbol='qwerty123456' |
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260
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) |
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261
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} |
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262
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] |
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aabmets /
yfrake
