Predicting whether a stock price goes up/constant OR down can be derived from correlation between price and media news:
Top NLP model features:
feature Coefficient grusomt puds 0.674492 penge eksperter 0.621060 kendt ingen 0.557319 england ulækkert 0.551513 grimt overnatter 0.507227 udfordrer lokker 0.506352 helvede secret 0.504128 flopper ikonisk 0.486891 ledelse aeroporto 0.463352 spørgsmålene lykkeforsker 0.459704
Tail NLP model features:
feature Coefficient ham britisk -0.407934 bedste verdens -0.410341 lige fødevareskandale -0.444937 grimt når -0.459368 tilbage kaffekonge -0.464219 stræder når -0.475946 undrer hjemløse -0.475946 palæstinensere aeroporto -0.533765 arbejdsmønstre klip -0.546474 grusomt pus -0.573037
Description: "1" when stock price value rise or stays the same "0" when stock price value decrease. A new model is trained every 5 minutes based on newest data.
Description: look at off-diagonal values like false positives that should be close to zero.
Description: look at off-diagonal values like false positives that should be close to zero.