def get_charts(self, period="d", size="l", chart_type="c", ta="1"):
"""
Downloads the charts of all tickers shown by the table.
:param period: table period eg. : 'd', 'w' or 'm' for daily, weekly and monthly periods
:type period: str
:param size: table size eg.: 'l' for large or 's' for small - choose large for better quality but higher size
:type size: str
:param chart_type: chart type: 'c' for candles or 'l' for lines
:type chart_type: str
:param ta: technical analysis eg.: '1' to show ta '0' to hide ta
:type ta: str
"""
encoded_payload = urlencode(
{"ty": chart_type, "ta": ta, "p": period, "s": size}
)
sequential_data_scrape(
scrape.download_chart_image,
[
f"https://finviz.com/chart.ashx?{encoded_payload}&t={row.get('Ticker')}"
for row in self.data
],
self._user_agent,
)
def __search_screener(self):
""" Private function used to return data from the FinViz screener. """
self._page_content, self._url = http_request_get(
'https://finviz.com/screener.ashx',
payload={
'v': self._table,
't': ','.join(self._tickers),
'f': ','.join(self._filters),
'o': self._order,
's': self._signal,
'c': ','.join(self._custom)
})
self._rows = self.__check_rows()
self.headers = self.__get_table_headers()
page_urls = scrape.get_page_urls(self._page_content, self._rows,
self._url)
pages_data = sequential_data_scrape(scrape.get_table, page_urls,
self._delay, self.headers,
self._rows)
data = []
for page in pages_data:
for row in page:
data.append(row)
return data
def get_ticker_details(self):
"""
Downloads the details of all tickers shown by the table.
"""
base_url = 'https://finviz.com/quote.ashx?'
ticker_urls = []
for row in self.data:
ticker_urls.append(f"{base_url}&t={row.get('Ticker')}")
ticker_data = sequential_data_scrape(scrape.download_ticker_details,
ticker_urls, self._delay)
for entry in ticker_data:
for key, value in entry.items():
for ticker_generic in self.data:
if ticker_generic.get('Ticker') == key:
if 'Sales' not in self.headers:
self.headers.extend(list(value[0].keys()))
ticker_generic.update(value[0])
self.analysis.extend(value[1])
return self.data
def get_ticker_details(self):
"""
Downloads the details of all tickers shown by the table.
"""
ticker_data = sequential_data_scrape(
scrape.download_ticker_details,
[
f"https://finviz.com/quote.ashx?&t={row.get('Ticker')}"
for row in self.data
],
self._user_agent,
)
for entry in ticker_data:
for key, value in entry.items():
for ticker_generic in self.data:
if ticker_generic.get("Ticker") == key:
if "Sales" not in self.headers:
self.headers.extend(list(value[0].keys()))
ticker_generic.update(value[0])
self.analysis.extend(value[1])
return self.data
def __search_screener(self):
""" Private function used to return data from the FinViz screener. """
self._page_content, self._url = http_request_get(
"https://finviz.com/screener.ashx",
payload={
"v": self._table,
"t": ",".join(self._tickers),
"f": ",".join(self._filters),
"o": self._order,
"s": self._signal,
"c": ",".join(self._custom),
},
)
self._rows = self.__check_rows()
self.headers = self.__get_table_headers()
pages_data = sequential_data_scrape(
scrape.get_table,
scrape.get_page_urls(self._page_content, self._rows, self._url),
self._delay,
self.headers,
self._rows,
)
data = []
for page in pages_data:
for row in page:
data.append(row)
return data
def get_ticker_details_df(self):
"""
Downloads the details of all tickers shown by the Screener.
"""
base_url = 'https://finviz.com/quote.ashx?'
ticker_urls = [f"{base_url}&t={row.get('Ticker')}" for row in self.data]
ticker_data = sequential_data_scrape(scrape.download_ticker_details, ticker_urls, self._delay)
quote_data = []
for quote in ticker_data:
quote[list(quote.keys())[0]][0]['Ticker'] = list(quote.keys())[0]
quote_data.append(quote[list(quote.keys())[0]][0])
return DataFrame(quote_data)