wip

README.md

@@ -110,28 +110,27 @@ Store(df).save()
 #### Trading data
 |Function|Params|Description|
 |---|---|---|
-|get_current_trade_data()|||
-|get_dsex_data()|||
-|get_current_trading_code()|||
-|get_hist_data()|||
-|get_basic_hist_data()|||
-|get_close_price_data()|||
+|get_current_trade_data()|symbol:str|get last stock price|
+|get_dsex_data()|symbol:str|get dseX share price|
+|get_current_trading_code()||get last stock codes|
+|get_hist_data()|start:str, end:str|get historical stock price|
+|get_basic_hist_data()|start:str, end:str, code:str|get historical stock price|
+|get_close_price_data()|start:str, end:str, code:str|get stock close price|
 |get_last_trade_price_data()|||
-|get_cse_current_trade_data()|||
 
 #### Trading news
 |Function|Params|Description|
 |---|---|---|
-|get_agm_news()|||
-|get_all_news()|||
+|get_agm_news()||get stock agm declarations|
+|get_all_news()|start:str, end:str, code:str|get dse news|
 
 #### Market data
 |Function|Params|Description|
 |---|---|---|
-|get_market_inf()|||
-|get_latest_pe()|||
-|get_market_inf_more_data()|||
-|get_market_depth_data()|str|get_market_depth_data('ACI')|
+|get_market_inf()||get stock market information|
+|get_latest_pe()||get last stock P/E|
+|get_market_inf_more_data()|start:str, end:str|get historical stock price|
+|get_market_depth_data()|index:str|get_market_depth_data('ACI')|
 
 ### <a name="roadmap"></a> [TODO's and Road Map:](#contents)
  - [x] refine logic for parameters 

bdshare/stock/trading.py

@@ -264,37 +264,4 @@ def get_close_price_data(start=None, end=None, code='All Instrument'):
 
 def get_last_trade_price_data():
     df = pd.read_fwf('https://dsebd.org/datafile/quotes.txt', sep='\t', skiprows=4)
-    return df
-
-
-def get_cse_current_trade_data(symbol=None):
-    """
-        get last stock price.
-        :param symbol: str, Instrument symbol e.g.: 'ACI' or 'aci'
-        :return: dataframe
-    """
-    try:
-        r = requests.get(vs.CSE_URL+vs.CSE_LSP_URL)
-    except Exception as e:
-        print(e)
-    soup = BeautifulSoup(r.text, 'html.parser')
-    quotes = []  # a list to store quotes
-    table = soup.find('table', attrs={'id': 'dataTable'})
-    for row in table.find_all('tr')[1:]:
-        cols = row.find_all('td')
-        quotes.append({'symbol': cols[1].text.strip().replace(",", ""),
-                       'ltp': cols[2].text.strip().replace(",", ""),
-                       'open': cols[3].text.strip().replace(",", ""),
-                       'high': cols[4].text.strip().replace(",", ""),
-                       'low': cols[5].text.strip().replace(",", ""),
-                       'ycp': cols[6].text.strip().replace(",", ""),
-                       'trade': cols[7].text.strip().replace(",", ""),
-                       'value': cols[8].text.strip().replace(",", ""),
-                       'volume': cols[9].text.strip().replace(",", "")
-                       })
-    df = pd.DataFrame(quotes)
-    if symbol:
-        df = df.loc[df.symbol == symbol.upper()]
-        return df
-    else:
-        return df
+    return df

bdshare/util/tickers.py

@@ -6,10 +6,18 @@
 @group : bdshare.xyz
 @contact: [email protected]
 """
+import json
 
 class Tickers(object):
     def __init__(self):
-        pass
+        self.f = open('tickers.json')
+        self.data = json.load(self.f)
+
+    def close(self):
+        self.f.close()
 
     def ticker_data(self, ticker=None):
-        pass
+        if ticker:
+            self.data['data']['companies' == ticker]
+        else:
+            self.data['data']['companies']