This slide is shizuoka.py #5 LT contents. Stock Price Prediction of Nikkei Index 225.

1. Shizuoka.py #5 Tetsuya Tatsumi dokechin
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CSV
▸ Quandl)

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▸ FRB 2000

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NASDAQ SP500 DAX
2002-09-10 9309 120.68 1320.2 909.58 3494
2002-09-11 9400 121.50 1315.0 909.45 3584
2002-09-12 9415 122.17 1280.0 886.90 3421

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▸ pandas
▸ sort
# read cvs file and sort by specific column
ni225 = pandas.read_csv("YAHOO-INDEX_N225.csv",parse_dates=True)
ni225 = ni225.dropna()
ni225 = ni225.sort_values(by="Date", ascending=True).reset_index(drop=True)

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# normalizations of features
features = numpy.array(features)
features = (features - features.min(0)) / features.ptp(0)

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▸ SVM
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clf = svm.SVC()
tuned_parameters = {'kernel': ['rbf'], 'gamma': [0.2,0.1,0.08,0.07,0.06,0.04,0.03,0.02],
'C': [10,20,30,40,50]}
grid = grid_search.GridSearchCV(estimator=clf, param_grid=tuned_parameters)
grid.fit(features, labels)
print (grid.grid_scores_)

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▸ configparser
▸ Tweet python-twitter
predict = clf.predict(feature)
inifile = configparser.ConfigParser()
inifile.read("./config.ini")
api = twitter.Api(
consumer_key = inifile.get("twitter","consumer_key"),
consumer_secret = inifile.get("twitter","consumer_secret"),
access_token_key = inifile.get("twitter","access_token_key"),
access_token_secret = inifile.get("twitter","access_token_secret")
)
content = "# # http://niyo.dokechin.com "
if predict == 1:
content +=" "
else:
content +=" "
api.PostUpdate(content)

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