ml-finance-python
python scripts for finance machine learning
git clone https://9o.is/git/ml-finance-python.git
SigOpt_Experiment_worse.csv
(14801B)
1 rsi_timeperiod,rsi_lower,rsi_width,roc_timeperiod,roc_lower,roc_width,rebalance_freq,value,value_stddev,failed
2 5,0,10,2,0.277843225271,2.0,10,None,None,true
3 5,0,30,25,0.279388476383,2.0,11,None,None,true
4 126,0,30,11,0.279060797441,2.0,11,None,None,true
5 73,90,10,2,0.258271461503,2.0,11,None,None,true
6 126,0,10,28,0.284825056697,0.05,11,None,None,true
7 126,90,30,2,0.292532185137,2.0,11,None,None,true
8 126,90,30,27,0.295523800139,2.0,11,None,None,true
9 5,0,30,36,0.280819293852,2.0,11,None,None,true
10 126,90,10,8,0.291030957806,2.0,11,None,None,true
11 5,0,30,22,0.293893692244,0.05,11,None,None,true
12 5,90,10,22,0.270379431145,0.05,11,None,None,true
13 5,0,10,22,0.3,2.0,11,None,None,true
14 126,90,10,12,0.280088433869,0.05,11,None,None,true
15 5,0,10,6,0.3,1.07748193357,11,None,None,true
16 126,0,30,55,0.27062351892,0.05,11,None,None,true
17 5,0,10,14,0.3,1.35969340309,11,None,None,true
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19 126,90,30,2,0.274483523735,2.0,11,None,None,true
20 126,90,10,30,0.285658149687,2.0,11,None,None,true
21 5,90,10,14,0.281041898684,0.05,12,None,None,true
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30 5,90,30,26,0.3,2.0,11,None,None,true
31 126,0,10,43,0.298872208741,0.05,11,None,None,true
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33 5,0,10,23,0.3,0.05,11,None,None,true
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274 19,68,24,36,0.283735805516,1.45845015863,17,-0.33390691898,None,false
275 32,35,19,18,0.3,1.89624493094,16,None,None,true
276 31,39,19,14,0.3,1.60069302432,14,0.296933800352,None,false
277 53,39,19,20,0.3,1.6416983536,15,None,None,true
278 45,41,19,13,0.3,1.67315285095,15,-0.0582772054922,None,false
279 51,32,20,16,0.3,1.44545562235,11,0.389173987857,None,false
280 55,41,19,11,0.295314505785,1.67780034638,13,0.218238312707,None,false
281 47,32,18,14,0.3,1.72553190157,13,None,None,true
282 39,39,19,17,0.3,1.68419562898,15,0.262169134307,None,false
283 44,34,18,19,0.3,1.41929487587,12,None,None,true
284 49,38,18,12,0.3,1.70458582236,14,0.296933800352,None,false
285 43,40,18,10,0.3,1.66282814157,13,0.218238312707,None,false
286 48,34,20,14,0.3,1.70128017276,13,None,None,true
287 46,37,19,14,0.3,1.68793612464,14,0.296933800352,None,false
288 56,31,18,12,0.3,1.68243471826,11,None,None,true
289 55,35,19,7,0.3,1.93131268604,14,None,None,true
290 54,30,19,9,0.3,1.53554957415,14,None,None,true
291 47,38,19,15,0.276058774351,1.84824271028,12,None,None,true
292 48,33,19,16,0.3,1.54747054717,12,0.130134513211,None,false
293 90,24,14,45,0.183810462439,0.792358990055,7,None,None,true
294 52,34,19,11,0.298190904713,1.75665519088,13,0.218238312707,None,false
295 10,32,25,53,0.237610770069,0.596347242272,4,-0.274566671272,None,false
296 29,20,10,19,0.0515403971518,1.40188590448,7,None,None,true
297 88,45,22,30,0.0239318911645,0.241171328104,9,-0.0902218953696,None,false
298 103,63,14,4,0.198833704626,0.849646996668,19,None,None,true
299 111,90,23,34,0.182712190723,1.51886183843,10,None,None,true
300 66,77,30,41,0.105372055807,1.22142979004,16,None,None,true
301 48,0,17,61,0.115233887037,0.414669434928,17,None,None,true