def analyze_social_sentiment(self):
self._final_analysis_str += 'Public Twitter sentiment analysis (-1.0 to 1.0)...\n'
for symbol in self._stock_symbols:
sentiment_data = get_social_sentiment(symbol)
sentiment_value = sentiment_data['sentiment']
if sentiment_value > 0.5:
self._final_analysis_str += symbol.upper(
) + ' BULLISH with public Twitter sentiment value of ' + str(
sentiment_value) + '\n'
else:
self._final_analysis_str += symbol.upper(
) + ' BEARISH with public Twitter sentiment value of ' + str(
sentiment_value) + '\n'
self._final_analysis_str += '\n\n'
def test_social_json(self):
data = get_social_sentiment("AAPL")
assert isinstance(data, dict)
def test_social_bad_period(self):
with pytest.raises(ValueError):
get_social_sentiment('AAPL', period_type='badperiod')
def test_social_bad_period(self):
with pytest.raises(ValueError):
get_social_sentiment("AAPL", period_type="badperiod")
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 22 17:19:39 2019
@author: Mathias
"""
from iexfinance.altdata import get_social_sentiment
get_social_sentiment("AAPL")