Add Tradeking functionality

Yet to be integrated with the Equities flow, hold your horses.
master
Bradlee Speice 2016-08-24 17:43:11 -04:00
parent 65de3a782a
commit 0d249af584
7 changed files with 132 additions and 2 deletions

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@ -24,6 +24,13 @@
</value>
</option>
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<inspection_tool class="PyShadowingBuiltinsInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
<option name="ignoredNames">
<list>
<option value="format" />
</list>
</option>
</inspection_tool>
<inspection_tool class="PyUnresolvedReferencesInspection" enabled="false" level="WARNING" enabled_by_default="false">
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.metrik.enc Normal file

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@ -10,5 +10,8 @@ services:
before_install:
- export TZ=America/New_York
# Encrypted .metrik.enc file contains credentials for services that are behind OAuth, etc.
- openssl aes-256-cbc -K $encrypted_4cca49abdb96_key -iv $encrypted_4cca49abdb96_iv -in .metrik.enc -out ~\/.metrik -d
install: pip install -r requirements.txt
script: python setup.py test

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@ -1,2 +1,2 @@
__version__ = '0.2.3'
__version__ = '0.3.0'
__release__ = __version__

82
metrik/tasks/tradeking.py Normal file
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@ -0,0 +1,82 @@
import requests
from requests_oauthlib import OAuth1Session
from luigi.parameter import DateParameter, Parameter
from datetime import timedelta
from dateutil.parser import parse
import logging
from metrik.tasks.base import MongoCreateTask, MongoRateLimit
from metrik.conf import get_config
class TradekingApi(object):
format_json = '.json'
format_xml = '.xml'
root_url = 'https://api.tradeking.com/v1/'
def __init__(self):
config = get_config()
self.session = OAuth1Session(
client_key=config.get('tradeking', 'consumer_key'),
client_secret=config.get('tradeking', 'consumer_secret'),
resource_owner_key=config.get('tradeking', 'oauth_token'),
resource_owner_secret=config.get('tradeking', 'oauth_token_secret')
)
def api_request(self, url, params=None, format=format_json, **kwargs):
full_url = self.root_url + url + format
return self.session.get(full_url, params=params, **kwargs)
class Tradeking1mTimesales(MongoCreateTask):
# While this is marked as an idempotent task, it only goes back about
# a week or so. Be careful.
present = DateParameter()
symbol = Parameter()
def acquire_lock(self, service, limit, interval, max_tries=5, backoff=.5):
return super(Tradeking1mTimesales, self).acquire_lock(
'tradeking', 60, timedelta(minutes=1)
)
@staticmethod
def retrieve_data(present, symbol):
ratelimit = MongoRateLimit()
tradeking = TradekingApi()
did_acquire = ratelimit.acquire_lock(
service='tradeking',
limit=60,
interval=timedelta(minutes=1)
)
if did_acquire:
json_data = tradeking.api_request('market/timesales', {
'symbols': symbol,
'interval': '1min',
'startdate': present.strftime('%Y-%m-%d'),
'enddate': present.strftime('%Y-%m-%d')
}).json()
quotes = json_data['response']['quotes']['quote']
def format_quote(quote):
return {
'last': float(quote['last']),
'lo': float(quote['lo']),
'vl': int(quote['vl']),
'datetime': parse(quote['datetime']),
'incr_vl': int(quote['incr_vl']),
'hi': float(quote['hi']),
'timestamp': parse(quote['timestamp']),
'date': parse(quote['date']).date(),
'opn': float(quote['opn'])
}
quotes_typed = [format_quote(q) for q in quotes]
return {
'symbol': symbol,
'quotes': quotes_typed
}
else:
logging.error('Unable to acquire lock for Tradeking ticker {}'
.format(symbol))
return {}

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@ -26,7 +26,8 @@ setup(
],
tests_require=[
'pytest',
'pytest-catchlog'
'pytest-catchlog',
'pandas-datareader'
],
entry_points={
'console_scripts': [

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@ -0,0 +1,37 @@
from unittest import TestCase
from datetime import datetime
from pandas_datareader.data import get_data_yahoo
from numpy.testing import assert_allclose
import pytest
from metrik.tasks.tradeking import Tradeking1mTimesales
from metrik.trading_days import TradingDay
@pytest.mark.parametrize('ticker', [
'AAPL', 'GOOG', 'SPY', 'REGN', 'SWHC', 'BAC', 'NVCR'
])
def test_returns_verifiable(ticker):
# Test that the quotes line up with data off of Yahoo
now = datetime.now()
prior_day = now - TradingDay(1)
quotes = Tradeking1mTimesales.retrieve_data(prior_day, ticker)
yahoo_ohlc = map(tuple, get_data_yahoo(ticker, prior_day, prior_day)[
['Open', 'High', 'Low', 'Close']
].values)[0]
open = high = close = 0
low = 999999
for index, quote in enumerate(quotes['quotes']):
if index == 0:
open = quote['opn']
if index == len(quotes['quotes']) - 1:
close = quote['last']
high = max(high, quote['hi'])
low = min(low, quote['lo'])
tradeking_ohlc = (open, high, low, close)
assert_allclose(tradeking_ohlc, yahoo_ohlc, rtol=1e-3)