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Algorithms that follow a trend and a predetermined set of rules are used in algorithmic trading to execute trades. Predictive Trade Bot systemsaim to provide unusual profits for stock order, position,balance, sell, and by tools. The trade can produce income at an unnaturally high speed and frequency.
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HETEROGENEOUS TRADING STRATEGY ENSEMBLING FOR INTRADAY TRADING ALGORITHMS
Since the inception of algorithmic trading during the mid-1970s, considerable resources and time have been committed by the financial sector to the development of trading algorithms in the hope of obtaining a competitive advantage over human contenders.
Koegelenberg, D.J.C, van Vuuren, J.H.
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Modelling Asset Prices for Algorithmic and High-Frequency Trading [PDF]
Algorithmic trading (AT) and high-frequency (HF) trading, which are responsible for over 70% of US stocks trading volume, have greatly changed the microstructure dynamics of tick-by-tick stock data.
Cartea, Á, Jaimungal, S
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Energy-efficient acceleration of MPEG-4 compression tools [PDF]
We propose novel hardware accelerator architectures for the most computationally demanding algorithms of the MPEG-4 video compression standard-motion estimation, binary motion estimation (for shape coding), and the forward/inverse discrete cosine ...
Kinane, Andrew +2 more
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Optimal execution strategy with an uncertain volume target [PDF]
In the seminal paper on optimal execution of portfolio transactions, Almgren and Chriss (2001) define the optimal trading strategy to liquidate a fixed volume of a single security under price uncertainty.
Hauser, Raphael, Vaes, Julien
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Modern trends of electronic trading by negotiable financial instruments
International negotiable financial instrument markets have a high level of electronic trading. It is displayed using the consolidated limit order book, the widening the range of trading orders, smart order routing, high speed access to the market on the ...
I.Kravchuk
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The Features of Building a Portfolio of Trading Strategies Using the SAS OPTMODEL Procedure
The article describes the original information technology of the algorithmic trading, designed to solve the problem of forming the optimal portfolio of trade strategies.
Oleksandr Terentiev +4 more
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Algorithmic trading engines versus human traders – do they behave different in securities markets? [PDF]
After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional ...
Gomber, Peter, Gsell, Markus
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Assessing the impact of algorithmic trading on markets: a simulation approach [PDF]
Innovative automated execution strategies like Algorithmic Trading gain significant market share on electronic market venues worldwide, although their impact on market outcome has not been investigated in depth yet.
Gsell, Markus
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R-DDQN: Optimizing Algorithmic Trading Strategies Using a Reward Network in a Double DQN
Algorithmic trading is playing an increasingly important role in the financial market, achieving more efficient trading strategies by replacing human decision-making.
Chujin Zhou +3 more
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