Results 41 to 50 of about 61,871 (293)

Les conséquences inattendues de la régulation financière : pourquoi les algorithmes génèrent-ils de nouveaux risques sur les marchés financiers ?

open access: yesRevue de la Régulation, 2013
Since the enactment of the Markets in Financial Instruments Directive (MiFID) on November 1st, 2007, the institutional landscape and the organization of financial markets in Europe has been witnessing major changes.
Marc Lenglet, Angelo Riva
doaj   +1 more source

Where is the Value in High Frequency Trading? [PDF]

open access: yesSSRN Electronic Journal, 2011
We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: (i) The price impact of liquidity trades is higher in the presence of the HFTs and is increasing with the size of the
Álvaro Cartea, José Penalva
openaire   +2 more sources

Developing High Frequency Foreign Exchange Trading Systems [PDF]

open access: yes, 2012
The foreign exchange (FX) spot markets are well suited to high frequency trading. They are highly liquid, allow leverage, and trade 24 hours a day, 5 days a week. This paper documents and tests the stylized facts known about high-frequency FX markets. It
Vanstone, Bruce J
core   +2 more sources

High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method

open access: yesFuture Internet, 2022
Futures price-movement-direction forecasting has always been a significant and challenging subject in the financial market. In this paper, we propose a combination approach that integrates the XGBoost (eXtreme Gradient Boosting), SMOTE (Synthetic ...
Shangkun Deng   +4 more
doaj   +1 more source

Radical Complexity

open access: yesEntropy, 2021
This is an informal and sketchy review of five topical, somewhat unrelated subjects in quantitative finance and econophysics: (i) models of price changes; (ii) linear correlations and random matrix theory; (iii) non-linear dependence copulas; (iv) high ...
Jean-Philippe Bouchaud
doaj   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Cryptocurrency Futures Portfolio Trading System Using Reinforcement Learning

open access: yesApplied Sciences
This 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

Grid Trading System Robot (GTSbot): A Novel Mathematical Algorithm for Trading FX Market

open access: yesApplied Sciences, 2019
Grid algorithmic trading has become quite popular among traders because it shows several advantages with respect to similar approaches. Basically, a grid trading strategy is a method that seeks to make profit on the market movements of the underlying ...
Francesco Rundo   +3 more
doaj   +1 more source

Market Making With Signals Through Deep Reinforcement Learning

open access: yesIEEE Access, 2021
Deep reinforcement learning has recently been successfully applied to a plethora of diverse and difficult sequential decision-making tasks, ranging from the Atari games to robotic motion control.
Bruno Gasperov, Zvonko Kostanjcar
doaj   +1 more source

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