1+ import requests
2+ import matplotlib .pyplot as plt
3+ import pandas as pd
4+ from datetime import datetime ,timedelta
5+ import time
6+ import os
7+
8+ class NEPSE :
9+
10+ def __init__ (self ):
11+ self .headers = {
12+ 'authority' : 'newweb.nepalstock.com.np' ,
13+ 'sec-ch-ua' : '^\\ ^Google' ,
14+ 'accept' : 'application/json, text/plain, */*' ,
15+ 'sec-ch-ua-mobile' : '?0' ,
16+ 'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.128 Safari/537.36' ,
17+ 'sec-fetch-site' : 'same-origin' ,
18+ 'sec-fetch-mode' : 'cors' ,
19+ 'sec-fetch-dest' : 'empty' ,
20+ 'referer' : 'https://newweb.nepalstock.com.np/' ,
21+ 'accept-language' : 'en-GB,en-US;q=0.9,en;q=0.8' ,
22+ }
23+ self .host = 'https://newweb.nepalstock.com.np/api/'
24+ self .securities = requests .get (self .host + 'nots/securityDailyTradeStat/58' ,headers = self .headers ).json ()
25+ pass
26+
27+
28+ def dateFilter (self ,working_date ,data ):
29+ """
30+ Function to return next working day , if the date provided is non-working day.
31+
32+ Returns either first or last date if the date provided is too ahead or too back.
33+
34+ """
35+
36+ all_dates = [date ['businessDate' ] for date in data ]
37+ if working_date in all_dates :
38+ return working_date
39+ else :
40+ i = 0
41+ while 1 :
42+
43+ date = datetime .strptime (working_date ,'%Y-%m-%d' )
44+ new_date = str (date + timedelta (days = i )).split (' ' )[0 ]
45+ if new_date in all_dates :
46+ return new_date
47+ i += 1
48+ if i >= 7 :
49+ month = working_date .split ('-' )[1 ]
50+ year = working_date .split ('-' )[0 ]
51+ day = working_date .split ('-' )[- 1 ]
52+ if year > all_dates [- 1 ].split ('-' )[0 ] and month > all_dates [- 1 ].split ('-' )[1 ]:
53+ return all_dates [- 1 ]
54+ return all_dates [0 ]
55+
56+
57+ def isOpen (self ):
58+ """
59+ Returns True if the market is Open .
60+
61+ """
62+ response = requests .get (self .host + '/nots/nepse-data/market-open' , headers = self .headers ).json ()
63+ if response ['isOpen' ] != 'CLOSE' :
64+ return True
65+ return False
66+
67+ def brokers (self ):
68+ """
69+
70+ Returns all the registered brokers along with tms url and other information
71+
72+ """
73+ resp = requests .get (self .host + 'nots/member?&size=500' ,headers = self .headers ).json ()
74+ return resp
75+
76+ def alerts (self ):
77+ """
78+
79+ returns alerts and news published by
80+
81+ """
82+ resp = requests .get (self .host + 'nots/news/media/news-and-alerts' ,headers = self .headers ).json ()
83+ return resp
84+
85+ def todayPrice (self ,scrip = None ):
86+ """
87+
88+ Get Live Price of All The Securities in one call or specify
89+
90+ """
91+ resp = requests .get (self .host + 'nots/nepse-data/today-price?&size=500' ,headers = self .headers ).json ()['content' ]
92+ if scrip == None :
93+ return resp
94+ return [script for script in resp if script ['symbol' ]== scrip .upper ()][0 ]
95+
96+ def markCap (self ):
97+ """
98+
99+ Get Market Caps
100+
101+ """
102+ resp = requests .get (self .host + 'nots/nepse-data/marcapbydate/?' ,headers = self .headers ).json ()
103+ return resp
104+
105+ def getChartHistory (self ,scrip ,start_date = None ,end_date = None ):
106+ """
107+
108+ returns charts data
109+ raises Exception if start_date or end_date != working_days (will fix it)
110+
111+ """
112+
113+ scripID = [security for security in self .securities if security ['symbol' ]== scrip .upper ()][0 ]['securityId' ]
114+ resp = requests .get (self .host + f'nots/market/graphdata/{ scripID } ,headers = self .headers ).json ()
115+ if start_date :
116+ start_date = self .dateFilter (start_date ,resp )
117+ start_index = next ((index for (index , d ) in enumerate (resp ) if d ["businessDate" ] == start_date ), None )
118+ resp = resp [start_index :]
119+ if end_date :
120+
121+ end_date = self .dateFilter (end_date ,resp )
122+ end_index = next ((index for (index , d ) in enumerate (resp ) if d ["businessDate" ] == end_date ), None )+ 1
123+ if start_date and end_date :
124+ if end_index == start_index :
125+ end_index = - 1
126+ resp = resp [:end_index ]
127+ return resp
128+
129+ def createChart (self ,scrip ,theme = 'dark' ,start_date = None ,end_date = None ,close = True ,high = True ,low = True ):
130+
131+ symbol = scrip .upper ()
132+ if theme .upper ()== 'DARK' :
133+ plt .style .use (['dark_background' ])
134+
135+ data = self .getChartHistory (symbol ,start_date ,end_date )
136+ open_price = [d ['openPrice' ] for d in data ]
137+ x = [d ['businessDate' ] for d in data ]
138+ high_data = [d ['highPrice' ] for d in data ]
139+ low_data = [d ['lowPrice' ] for d in data ]
140+ close_price = [d ['closePrice' ] for d in data ]
141+
142+ plt .plot (open_price ,label = 'Open Price' )
143+ if close :
144+ plt .plot (close_price ,label = "Close Price" )
145+ if high :
146+ plt .plot (high_data ,label = "High" )
147+ if low :
148+ plt .plot (low_data ,label = "Low" )
149+
150+ plt .legend (loc = "upper left" )
151+
152+ plt .title (f'{ symbol } { x [- 1 ]} )
153+
154+ plt .xlabel (f"Start Date : { x [0 ]} { x [- 1 ]} \n \n OPEN PRICE : { open_price [- 1 ]} { close_price [- 1 ]} { high_data [- 1 ]} { low_data [- 1 ]} )
155+ ax = plt .gcf ().autofmt_xdate ()
156+ ax = plt .gca ()
157+ ax .axes .xaxis .set_ticks ([])
158+ filename = f'{ symbol } { str (time .time ())}
159+ data = plt .savefig (filename )
160+ abspath = os .path .abspath (filename )
161+ plt .clf ()
162+ return {'file' :abspath }
163+
164+ def saveCSV (self ,scrip ,start_date = None ,end_date = None ,filename = None ):
165+ scripID = [security for security in self .securities if security ['symbol' ]== scrip .upper ()][0 ]['securityId' ]
166+ resp = self .getChartHistory (scrip ,start_date ,end_date )
167+ if not filename :
168+ filename = f'{ scrip .upper ()} { str (time .time ())}
169+ pd .DataFrame (resp ).to_csv (filename )
170+ return os .path .abspath (filename )
171+
172+
173+
174+
175+
176+ if __name__ == '__main__' :
177+ data = NEPSE ()
178+ print (data .createChart ('CGH' ))
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