def __init__(self,
api_key,
bar_type='minutes',
interval= 1,
endpoint_type=None):
self.api_key = api_key
self.bar_type = bar_type
self.interval = interval
self.bars_per_day = 60*24 if bar_type != 'daily' else 1
endpoint_to_use = BcHist.endpoints['paid_url'] if endpoint_type is None else BcHist.endpoints[endpoint_type]
self.od = ondemand.OnDemandClient(api_key=api_key, end_point=endpoint_to_use)
"""
python test_free.py my-api-key
"""
import ondemand
import sys
od = ondemand.OnDemandClient(
api_key=sys.argv[1],
end_point='https://marketdata.websol.barchart.com/',
format='csv')
od.debug = True
# Get a Quote
resp = od.quote('AAPL', 'bid,ask')
print('')
print(resp)
print('')
for q in resp['results']:
print('Symbol: %s, Last Price: %s' % (q['symbol'], q['lastPrice']))
# Get Historical Data
resp = od.history('AAPL', historical_type='daily')
print('')
print('getHistory', resp)
print('')
# -*- coding: utf-8 -*-
from datetime import datetime
import calendar
import requests
import ondemand
import pandas as pd
from pandas.compat import StringIO
od = ondemand.OnDemandClient(api_key='barcharthackathon')
states = {
"AL": "Alabama",
"AK": "Alaska",
"AS": "American Samoa",
"AZ": "Arizona",
"AR": "Arkansas",
"CA": "California",
"CO": "Colorado",
"CT": "Connecticut",
"DE": "Delaware",
"DC": "District Of Columbia",
"FM": "Federated States Of Micronesia",
"FL": "Florida",
"GA": "Georgia",
"GU": "Guam",
"HI": "Hawaii",
"ID": "Idaho",
"IL": "Illinois",
"IN": "Indiana",
"IA": "Iowa",
"KS": "Kansas",
"KY": "Kentucky",
"LA": "Louisiana",
Get data from barchart for futures
"""
from sysdata.futures.contracts import futuresContract
from sysdata.futures.futures_per_contract_prices import futuresContractPriceData, futuresContractPrices
from syscore.fileutils import get_filename_for_package
from sysdata.barchart.barchart_utils import load_private_key
import ondemand
import pandas as pd
BARCHART_FUTURES_CONFIG_FILE = get_filename_for_package(
"sysdata.barchart.barchartFuturesConfig.csv")
od = ondemand.OnDemandClient(api_key=load_private_key()) # ondemand API key
# od = ondemand.OnDemandClient(api_key=load_private_key(), end_point='https://marketdata.websol.barchart.com/') # ondemand demo endpoint API key
# quotes=od.history('GCG19', historical_type = 'daily')['results']
# pd.DataFrame(quotes)
class barchartFuturesConfiguration(object):
def __init__(self, config_file=BARCHART_FUTURES_CONFIG_FILE):
self._config_file = config_file
def get_list_of_instruments(self):
config_data = self._get_config_information()
return list(config_data.index)
ts.plot()
#syntax for getting simply 1 stock, Intel
stocks = ['INTC']
listStocks = quantiacsToolbox.loadData(
marketList=stocks,
dataToLoad=['DATE', 'OPEN', 'HIGH', 'LOW', 'CLOSE', 'VOL'],
beginInSample='20130326',
endInSample='20180829')
#from quantopian.pipeline import Pipeline
#barchart
import ondemand
od = ondemand.OnDemandClient(api_key='cf6e893a8324a661f82c65da1a79df0a')
# or if you are using a free sandbox API
od = ondemand.OnDemandClient(
api_key='cf6e893a8324a661f82c65da1a79df0a',
end_point='https://marketdata.websol.barchart.com/')
# get quote data for Apple and Microsoft
quotes = od.quote('AAPL,MSFT')['results']
for q in quotes:
print('Symbol: %s, Last Price: %s' % (q['symbol'], q['lastPrice']))
# get 1 minutes bars for Apple
resp = od.history('AAPL', 'minutes', maxRecords=50, interval=1)
"""
python test.py my-api-key
"""
import ondemand
import sys
od = ondemand.OnDemandClient(api_key=sys.argv[1])
od.debug = True
# Get that Crypto
resp = od.crypto('^BTCUSD,^LTCUSD')
print('')
print(resp)
print('')
# Get a Quote
resp = od.quote('AAPL', 'bid,ask')
print('')
print(resp)
print('')
for q in resp['results']:
print('Symbol: %s, Last Price: %s' % (q['symbol'], q['lastPrice']))
# Get Historical Data
resp = od.history('AAPL', 'minutes', maxRecords=50, interval=1)
# print('')
# print('getHistory', resp)
# print('')
def getStockLiveData(stock):
od = ondemand.OnDemandClient(
api_key=apikey, end_point='https://marketdata.websol.barchart.com/')
quote = od.quote(stock)['results']
print(quote)
return (quote)
import ondemand
from Stock import Stock
from Industry import Industry
import datetime
od = ondemand.OnDemandClient(
api_key='5dbee5d0272ae52936a8cabbdcef6ea6',
end_point='https://marketdata.websol.barchart.com/')
#The stocks i use are just random picked from the stock exchange
quotes = od.quote('DDD,MMM,WBAI,WUBA,EGHT,AHC,ATEN,AAC,AIR,AAN,ABB,ABT',
'dividendRateAnnual')['results']
nyseSymbolsCsv = open('NYSE.csv', 'r')
industriTxt = open('Betas.txt', 'r')
resp = od.get('getQuote', symbols='AAPL,EXC', fields='bid,ask')
#Lists i user
stocks = []
industries = []
nyseStockSymbols = []
#Reads from the NYSE STOCK FILE
#
for line in nyseSymbolsCsv:
currentSymbol = line.split(
","
) #Function for making a list with all the stock symbols from the NYSE.CSV
for i in range(len(currentSymbol)):
nyseStockSymbols.append(currentSymbol[i])
#will have to make a string which includes all the 100 tickers i want to check out
