liorsidi/sp500-stock-similarity-time-series
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
Python
Stargazers
- A-Alaa
- adrianosantanna
- amiddleton162
- bankplusKorea
- BigAndSweet
- camel2012
- cbnnha
- chandrab
- choloe
- coolsnake
- cyeager9296
- DICPZhou
- erichuang2013Taipei
- firmaiNYU | Sov.ai
- franz101
- gejianwnenno
- jackhmillerIsrael
- kanuduttaLos Angeles
- kuoluo1995ZJU
- LukaLiegisLondon
- michael81045NTNU
- NikoKVCSWuhan. China.
- pcsbezerraUniversity of Chicago
- pmarino1New York, New York, USA
- proxyanonymous
- puneethmishra
- quant-geek-ind
- rdlang
- reveriezhuCarnegie Mellon University
- rongzhou
- SantoshSrinivas79
- svjack
- tr8dr
- ZhiliWangVectorspace.AI
- Zl-zhulin
- ZymraelStanford University