def load_lse_ids(missing=True):
u = stocks.load_uk_universe()
if missing:
existing = stocks.get_universe('LSE')
u2 = u.loc[~u.index.isin(existing.index)]
if u2.empty:
s = stocks.load_google_returns(data_name='Spread')
s = s.iloc[-1].loc[u.index]
u = u.loc[s.isnull()]
else:
u = u2
ans = pd.Series([])
i = 0
for ticker in u.index:
logger.info('Loading %s' % ticker)
tmp = load_lse_id(ticker)
if tmp is None:
i += 1
else:
i = 0
ans.loc[ticker] = tmp
if i >= 5:
break
if not ans.empty:
ans.name = 'LSE'
stocks._save_tickers(ans, 'LSE')
def load_smx_universe(override=False):
logger.info('Loading SMX universe')
data = scrape.read_smx_stocks()
if override:
tu.delete_description(stocks.DATABASE_NAME,
stocks.STOCKS_DESCRIPTION,
column_list=['SMX'])
stocks._save_tickers(data, 'SMX')
def update_lse_ids():
ans = pd.Series([])
ans.loc['AA'] = 'GB00BMSKPJ95GBGBXSSMM'
ans.loc['ASAI'] = 'GB00BDFXHW57GBGBXSSMM'
ans.loc['RWI'] = 'GB0007995243GBGBXSSMM'
ans.loc['HWDN'] = 'GB0005576813GBGBXSTMM'
ans.loc['INCH'] = 'GB00B61TVQ02GBGBXSTMM'
ans.loc['NEX'] = 'GB0006215205GBGBXSTMM'
ans.loc['VCT'] = 'GB0009292243GBGBXSTMM'
ans.loc['VVO'] = 'GB00BDGT2M75GBGBXSTMM'
ans.loc['BRK'] = 'GB00B067N833GBGBXAMSM'
ans.loc['CTH'] = 'GB00B0KWHQ09GBGBXAMSM'
ans.loc['PAM'] = 'GB00BZB2KR63GBGBXAMSM'
ans.name = 'LSE'
stocks._save_tickers(ans, 'LSE')
def load_reuters_ids(missing=True):
u = stocks.load_uk_universe().max(axis=1)
if missing:
existing = stocks.get_universe('Reuters')
u = u.loc[~u.index.isin(existing.index)]
ans = pd.Series([])
i = 0
for ticker in u.index:
logger.info('Loading %s' % ticker)
tmp = load_reuters_id(ticker, u.loc[ticker])
if tmp is None:
i += 1
else:
i = 0
ans.loc[ticker] = tmp
if i >= 5:
break
if not ans.empty:
ans.name = 'Reuters'
stocks._save_tickers(ans, 'Reuters')
def import_reuters_ids():
filename = get_filename('ReutersID')
ans = pd.read_excel(filename)
ans.index = ans.column_name
stocks._save_tickers(ans.Reuters, 'Reuters')
def import_lse_ids():
filename = get_filename('LSEID')
ans = pd.read_excel(filename)
ans.index = ans.column_name
stocks._save_tickers(ans.LSE, 'LSE')
def update_reuters_ids():
ans = pd.Series([])
ans.loc['ASAI'] = 'GB00BDFXHW57GBGBXSSMM'
ans.name = 'Reuters'
stocks._save_tickers(ans, 'Reuters')
