Stock Price Range Forecast via a Recurrent Neural Network Based on the Zero-Crossing Rate Approach.
Yu-Fei LinYeong-Luh UengWei-Ho ChungTzu-Ming HuangPublished in: CIFEr (2019)
Keyphrases
- stock price
- zero crossing
- stock market
- short term
- stock exchange
- scale space
- edge detector
- non stationary
- financial markets
- stock price prediction
- historical data
- edge detection
- financial data
- neural network
- directional derivatives
- financial time series
- wavelet transform
- news articles
- chinese stock market
- marr hildreth
- long term
- pattern recognition
- range data
- stock returns
- image segmentation
- image intensity
- edge map
- gray scale images
- gray scale
- gray level
- co occurrence
- natural language processing
- band limited
- object recognition
- multiscale