ml-finance-python
python scripts for finance machine learning
git clone https://9o.is/git/ml-finance-python.git
TempLinkoping2016.txt
(6024B)
1 time temp
2 0.00273224 0.1
3 0.005464481 -4.5
4 0.008196721 -6.3
5 0.010928962 -9.6
6 0.013661202 -9.9
7 0.016393443 -17.1
8 0.019125683 -11.6
9 0.021857923 -6.2
10 0.024590164 -6.4
11 0.027322404 -0.5
12 0.030054645 0.5
13 0.032786885 -2.4
14 0.035519126 -7.5
15 0.038251366 -16.8
16 0.040983607 -16.6
17 0.043715847 -14.6
18 0.046448087 -9.6
19 0.049180328 -5.8
20 0.051912568 -8.6
21 0.054644809 -9.0
22 0.057377049 -9.7
23 0.06010929 -6.9
24 0.06284153 -3.9
25 0.06557377 1.4
26 0.068306011 1.9
27 0.071038251 4.3
28 0.073770492 6.9
29 0.076502732 4.3
30 0.079234973 5.9
31 0.081967213 3.8
32 0.084699454 1.5
33 0.087431694 0.1
34 0.090163934 4.6
35 0.092896175 0.8
36 0.095628415 -0.5
37 0.098360656 -1.0
38 0.101092896 4.2
39 0.103825137 6.6
40 0.106557377 4.8
41 0.109289617 4.7
42 0.112021858 1.3
43 0.114754098 0.9
44 0.117486339 -2.8
45 0.120218579 -3.3
46 0.12295082 -5.3
47 0.12568306 -6.8
48 0.128415301 -5.1
49 0.131147541 -2.6
50 0.133879781 -0.5
51 0.136612022 -0.5
52 0.139344262 0.1
53 0.142076503 1.7
54 0.144808743 2.4
55 0.147540984 -0.9
56 0.150273224 -1.3
57 0.153005464 -1.4
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59 0.158469945 -0.7
60 0.161202186 -2.6
61 0.163934426 -4.1
62 0.166666667 -2.7
63 0.169398907 0.7
64 0.172131148 2.0
65 0.174863388 1.7
66 0.177595628 0.9
67 0.180327869 0.3
68 0.183060109 0.9
69 0.18579235 1.1
70 0.18852459 0.1
71 0.191256831 -0.9
72 0.193989071 0.2
73 0.196721311 0.1
74 0.199453552 1.0
75 0.202185792 3.4
76 0.204918033 5.2
77 0.207650273 4.9
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86 0.232240437 4.3
87 0.234972678 7.0
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95 0.256830601 8.0
96 0.259562842 7.9
97 0.262295082 8.9
98 0.265027322 6.6
99 0.267759563 6.5
100 0.270491803 5.8
101 0.273224044 5.6
102 0.275956284 4.7
103 0.278688525 5.5
104 0.281420765 5.5
105 0.284153005 5.8
106 0.286885246 5.3
107 0.289617486 6.9
108 0.292349727 5.9
109 0.295081967 6.1
110 0.297814208 6.6
111 0.300546448 6.7
112 0.303278689 6.5
113 0.306010929 7.0
114 0.308743169 5.8
115 0.31147541 3.0
116 0.31420765 2.5
117 0.316939891 2.4
118 0.319672131 4.3
119 0.322404372 2.8
120 0.325136612 3.6
121 0.327868852 6.8
122 0.330601093 9.1
123 0.333333333 8.4
124 0.336065574 9.3
125 0.338797814 13.3
126 0.341530055 10.6
127 0.344262295 10.5
128 0.346994536 11.8
129 0.349726776 14.7
130 0.352459016 16.2
131 0.355191257 16.4
132 0.357923497 16.9
133 0.360655738 12.3
134 0.363387978 10.2
135 0.366120219 11.2
136 0.368852459 6.1
137 0.371584699 6.4
138 0.37431694 6.1
139 0.37704918 10.4
140 0.379781421 10.3
141 0.382513661 11.9
142 0.385245902 12.9
143 0.387978142 12.5
144 0.390710383 17.5
145 0.393442623 19.9
146 0.396174863 19.3
147 0.398907104 11.4
148 0.401639344 9.7
149 0.404371585 10.7
150 0.407103825 13.0
151 0.409836066 12.4
152 0.412568306 16.3
153 0.415300546 19.2
154 0.418032787 19.2
155 0.420765027 19.8
156 0.423497268 19.5
157 0.426229508 16.6
158 0.428961749 13.0
159 0.431693989 12.6
160 0.43442623 17.6
161 0.43715847 13.7
162 0.43989071 11.3
163 0.442622951 10.2
164 0.445355191 10.2
165 0.448087432 11.6
166 0.450819672 14.2
167 0.453551913 14.4
168 0.456284153 17.4
169 0.459016393 13.1
170 0.461748634 17.4
171 0.464480874 15.9
172 0.467213115 15.9
173 0.469945355 15.5
174 0.472677596 16.4
175 0.475409836 16.7
176 0.478142077 18.2
177 0.480874317 20.9
178 0.483606557 22.2
179 0.486338798 19.1
180 0.489071038 16.3
181 0.491803279 16.6
182 0.494535519 15.1
183 0.49726776 14.5
184 0.5 17.4
185 0.50273224 16.5
186 0.505464481 13.7
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188 0.510928962 14.2
189 0.513661202 15.6
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201 0.546448087 15.7
202 0.549180328 17.2
203 0.551912568 19.9
204 0.554644809 21.0
205 0.557377049 19.4
206 0.56010929 20.4
207 0.56284153 23.1
208 0.56557377 23.0
209 0.568306011 19.9
210 0.571038251 17.6
211 0.573770492 18.8
212 0.576502732 17.8
213 0.579234973 18.6
214 0.581967213 16.4
215 0.584699454 15.2
216 0.587431694 15.3
217 0.590163934 16.0
218 0.592896175 18.0
219 0.595628415 17.7
220 0.598360656 16.0
221 0.601092896 16.4
222 0.603825137 16.7
223 0.606557377 14.3
224 0.609289617 12.2
225 0.612021858 10.0
226 0.614754098 12.0
227 0.617486339 16.2
228 0.620218579 15.9
229 0.62295082 14.5
230 0.62568306 15.3
231 0.628415301 13.3
232 0.631147541 14.5
233 0.633879781 15.5
234 0.636612022 15.3
235 0.639344262 17.3
236 0.642076503 15.3
237 0.644808743 16.4
238 0.647540984 17.0
239 0.650273224 20.2
240 0.653005464 22.4
241 0.655737705 18.1
242 0.658469945 11.6
243 0.661202186 14.6
244 0.663934426 13.5
245 0.666666667 17.9
246 0.669398907 16.4
247 0.672131148 15.5
248 0.674863388 15.9
249 0.677595628 14.1
250 0.680327869 13.2
251 0.683060109 14.5
252 0.68579235 19.0
253 0.68852459 18.3
254 0.691256831 18.8
255 0.693989071 16.8
256 0.696721311 16.8
257 0.699453552 14.3
258 0.702185792 18.4
259 0.704918033 18.3
260 0.707650273 18.4
261 0.710382514 14.9
262 0.713114754 11.4
263 0.715846995 12.6
264 0.718579235 14.0
265 0.721311475 14.8
266 0.724043716 9.9
267 0.726775956 11.4
268 0.729508197 12.9
269 0.732240437 12.1
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295 0.803278689 6.9
296 0.806010929 6.1
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299 0.81420765 6.1
300 0.816939891 4.3
301 0.819672131 3.3
302 0.822404372 8.8
303 0.825136612 9.8
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306 0.833333333 5.2
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311 0.846994536 2.4
312 0.849726776 -0.8
313 0.852459016 -3.3
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317 0.863387978 -2.2
318 0.866120219 -0.3
319 0.868852459 0.0
320 0.871584699 2.3
321 0.87431694 4.9
322 0.87704918 3.1
323 0.879781421 3.6
324 0.882513661 5.2
325 0.885245902 3.8
326 0.887978142 3.2
327 0.890710383 7.7
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330 0.898907104 2.7
331 0.901639344 2.8
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340 0.926229508 -2.7
341 0.928961749 3.7
342 0.931693989 -3.2
343 0.93442623 -0.2
344 0.93715847 9.3
345 0.93989071 7.1
346 0.942622951 3.2
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348 0.948087432 -6.0
349 0.950819672 1.7
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351 0.956284153 -2.2
352 0.959016393 -1.2
353 0.961748634 1.0
354 0.964480874 1.7
355 0.967213115 3.7
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359 0.978142077 3.4
360 0.980874317 3.9
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362 0.986338798 5.3
363 0.989071038 2.7
364 0.991803279 -0.4
365 0.994535519 4.3
366 0.99726776 7.0
367 1 9.3