Metabit Trading:Metabit Trading 作为一家量化私募基金,是如何将ML/DL应用在金融数据上的? J同学:关于quant trading,它其实分为5个步骤,分别是Data Pre-processing、Representation Learning、Modelling、Portfolio Optimisation、Execution。目前我司运用ML/DL最广的是Modelling部分,也就是如何从过去的数据中提取有用的信...
不一定,Deep Learning并非万能,有其适用场景。目前, 人工精心设计的features + 传统Machine Learning在trading上性能好于Deep Learning Deep Learning是Neural Network的分支,那Neural Network是最强的Machine Learning模型吗?
Metabit Trading:Metabit Trading 作为一家量化私募基金,是如何将ML/DL应用在金融数据上的? J同学:关于quant trading,它其实分为5个步骤,分别是Data Pre-processing、Representation Learning、Modelling、Portfolio Optimisation、Execution。目前我司运用ML/DL最广的是Modelling部分,也就是如何从过去的数据中提取有用的信...
深Q-Learning代理人接受训练,以使累积的总奖励最大化。对当前的DeepQ-Trading模型进行了改进,采用了Q函数逼近的Deep-Sense体系结构。 Dataset 每分钟比特币系列是通过修改本存储库中提到的程序获得的。对Coinbase交易所的交易进行抽样,以生成比特币价格序列。请参考assets/dataset下载数据集。 Preprocessing 基本预处理...
The motivation for deep learning techniques begins with a discussion on the broader field of machine learning. Machine learning can be considered as a mechanism for mapping representations of data to outcomes (Goodfellow et al, 2016).In quantitative trading this often manifests itself as hand...
By effectively leveraging large data sets, deep learning has transformed fields such as computer vision and natural language processing. Now, it is becoming the method of choice for many genomics modelling tasks, including predicting the impact of genetic variation on gene regulatory mechanisms such ...
Deep learning is an artificial intelligence (AI) technique that teaches computers to process data using an algorithm inspired by the human brain.
Deep Learning (488) Python Python
This is a chart of Google share price movements since 2010-01-04. Note that only trading days are used to plot the graph. What Is Deep Learning? Deep learning is a part of machine learning, and it’s based on learning data representations. Machine learning examines algorithms whose functiona...
for the problem at hand. Most of deep learning really consists of chaining together simple layers which will implement a form of progressive "data distillation". A deep learning model is like a sieve for data processing, made of a succession of increasingly refined data filters -- the "layers...