Results 51 to 60 of about 2,156,811 (323)
Arbitrage Trading Systems for Cryptocurrencies. Design Principles and Server Architecture [PDF]
Informatică economică, 2018 When dot.com has become a quaint idea, when electronic shops have lost the mass attention, while classical and margin trading has become obsolete, something new is coming: cryptocur-rencies.
Cristian PAUNA
doaj +1 more source
Financial Forecasting With α-RNNs: A Time Series Modeling Approach
Frontiers in Applied Mathematics and Statistics, 2021 The era of modern financial data modeling seeks machine learning techniques which are suitable for noisy and non-stationary big data. We demonstrate how a general class of exponential smoothed recurrent neural networks (α-RNNs) are well suited to ...
Matthew Dixon +2 more
doaj +1 more source
The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response
, 2015 We argue that the continuous limit order book is a flawed market design and propose that financial exchanges instead use frequent batch auctions: uniform-price sealed-bid double auctions conducted at frequent but discrete time intervals, e.g., every 1 ...
Eric Budish, P. Cramton, John J. Shim
semanticscholar +1 more source
Optimization of High-Frequency Trading Strategies Using Deep Reinforcement Learning
Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023This study presents a new method for optimising high-risk trading (HFT) strategies using deep learning (DRL). We propose a multi-time DRL framework integrating advanced neural network architectures with sophisticated business data processing techniques ...
Guanghe Cao +3 more
semanticscholar +1 more source
High‐Frequency Trading around Large Institutional Orders
Journal of Finance, 2019 Liquidity suppliers lean against the wind. We analyze whether high-frequency traders (HFTs) lean against large institutional orders that execute through a series of child orders.
V. V. Kervel, A. Menkveld
semanticscholar +1 more source
Adversarial attacks on machine learning systems for high-frequency trading [PDF]
International Conference on AI in Finance, 2020 Algorithmic trading systems are often completely automated, and deep learning is increasingly receiving attention in this domain. Nonetheless, little is known about the robustness properties of these models.
Micah Goldblum +5 more
semanticscholar +1 more source
Investment in High Frequency Trading Technology: A Real Options Approach [PDF]
, 2018 This paper derives an optimal timing strategy for a regular slow trader considering investing in a high-frequency trading (HFT) technology. The market is fragmented, and slow traders compete with fast traders for trade execution.
Delaney, L.
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Cryptocurrency Futures Portfolio Trading System Using Reinforcement Learning
Applied SciencesThis paper proposes a cryptocurrency portfolio trading system (CPTS) that optimizes trading performance in the cryptocurrency futures market by leveraging reinforcement learning and timeframe analysis.
Jae Heon Chun, Suk Jun Lee
doaj +1 more source