zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
Jupyter Notebook
Issues
- 2
LSE data avaliable?
#25 opened by ownnaruto - 9
❗ Target leakage in your method
#17 opened by andrewsonin - 4
Unable to replicate dataset's labaling
#20 opened by AvivAlloni - 0
small model size
#24 opened by mehul-quantfi - 1
LSE是等事件宽度截面还是等时间宽度的截面
#23 opened by chinaliwenbo - 1
- 5
- 1
CNN Kernel Size
#19 opened by deeepwin - 1
- 2
about mc-dropout
#16 opened by ericyue - 0
- 4
Query on recreation issue - Macro F1 or weighted F1 usesd? How skewness is handled?
#14 opened by PraAnj - 2
acc很高, 老哥label分布是咋样的
#13 opened by PriceDance - 0
- 11
The label Extraction
#11 opened by HaishuoFang - 14
Another question for help
#5 opened by willinglion - 2
Question about the label in code
#10 opened by isjjhang - 4
- 1
- 1
Unable to replicate result
#7 opened by deancorleone00 - 3
Original Dataset
#6 opened by blutooth - 4
- 8
- 2
Which version of keras?
#2 opened by deancorleone00 - 0
Fix errors in run_train_represent.ipynb
#1 opened by PraAnj