The emergence of real-time auction in online advertising has drawn huge attention of modeling the market competition, i.e., bid landscape forecasting. The problem is formulated as to forecast the probability distribution of market price for each ad auction. With the consideration of the censorship...
J. Sirignano and R. Cont. Universal features of price formation in financial makrets: Persepectives from deep learning. Quantitative Finance, 19(9):1449–1459, July 2019. J. A. Sirignano. Deep learning for limit order books. Quantitative Finance, 19(4):549–570, 2019. 10.1080/14697688.2018...
In the era of big data, deep learning for predicting stock market prices and trends has become even more popular than before. We collected 2 years of data from Chinese stock market and proposed a comprehensive customization of feature engineering and deep learning-based model for predicting price ...
In the first part of this article on Stock Price Prediction Using Deep Learning, we will master most of the topics required to understand the essential aspects of forecasting and time-series analysis with machine learning and deep learning models. Time series analysis (or forecasting) is growing ...
(3) Which input sequence length is more informative for each market’s price prediction? (4) Are hybrid models effective in forecasting crude oil, gold, and silver spot prices? (5) What conclusions about the properties of each deep-learning model can be drawn in the context of crude oil ...
for implementing state-of-the-art deep learning model architectures the long short-term memory (LSTM), the gated recurrent unit (GRU), the convolutional neural network (CNN), their variants, and hybridizations, to predict the next day’s closing price of the real estate index S &P500-60. ...
Deep reinforcement learning (DRL) can be used to extract deep features that can be incorporated into reinforcement learning systems to enable improved deci
Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. In this new Ebook written in the friendly Machine Learning Mastery style that you’re used ...
Now, let’s talk about some of the best deep learning platforms in the market. Caffe Developed by Berkeley AI Research (BAIR) and community contributors,Caffeis an excellent deep learning framework that has speed, modularity, and expression. It has the BSD 2-Clause license. ...
Experiments performed on the Chinese market option dataset prove the practicability of the proposed strategies over commonly used ways, including B-S model and vector-based LSTM.关键词: Deep learning Solid modeling Analytical models Three-dimensional displays Tensors Finance Pricing ...