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.
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LSE是等事件宽度截面还是等时间宽度的截面 #23

Closed chinaliwenbo closed 2 years ago

chinaliwenbo commented 2 years ago

牛津大佬,论文很厉害,受教了,有两个问题想请教一下。 1、LSE上的预测的时候,输入的数据是按照时间等分取出来的order_book截面,还是跟fi-2010一样,按照事件等分呢。 2、DBLOB里面,bayeis交易策略,出场那个不是很明白,”We exit the position if H < β2. In next section, we show how these trading parameters affect our profits and risk level.“ 这里是不是要同时满足p(t) < \alpha 呢。

zcakhaa commented 1 year ago

hello 谢谢

  1. 不是时间等分的,就是tick级别的快照
  2. 出的时候应该就是 H 小于beta2就好了,

From: liwb @.> Sent: Sunday, September 25, 2022 4:34 PM To: zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books @.> Cc: Subscribed @.***> Subject: [zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books] LSE是等事件截面还是等时间的截面 (Issue #23)

牛津大佬,论文很厉害,受教了,有两个问题想请教一下。 1、LSE上的预测的时候,输入的数据是按照时间等分取出来的order_book截面,还是跟fi-2010一样,按照事件等分呢。 2、DBLOB里面,bayeis交易策略,出场那个不是很明白,”We exit the position if H < β2. In next section, we show how these trading parameters affect our profits and risk level.“ 这里是不是要同时满足p(t) < \alpha 呢。

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