Results 71 to 80 of about 4,039 (303)

Experimental Analysis of an Online Trading Algorithm

Electronic Notes in Discrete Mathematics, 2010
Abstract Trading decisions in financial markets can be supported by the use of online algorithms. We evaluate the empirical performance of a threat-based online algorithm and compare it to a reservation price algorithm, an average price algorithm and to buy-and-hold.
Günter Schmidt 0002, Esther Mohr, Mike Kersch   +2 more
openaire   +2 more sources

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

ALGORITHMIC TRADING OF CO-INTEGRATED ASSETS

International Journal of Theoretical and Applied Finance, 2015
We assume that the drift in the returns of asset prices consists of an idiosyncratic component and a common component given by a co-integration factor. We analyze the optimal investment strategy for an agent who maximizes expected utility of wealth by dynamically trading in these assets.
Cartea, A, Jaimungal, S
openaire   +3 more sources

Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation

Advanced Functional Materials, EarlyView.
A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco, Leilei Song, Fan Liu, Yu‐Hsiang Lin, Venkatasubramanian Kalpathy Venkiteswaran, Hao Zeng, Sarthak Misra   +6 more
wiley   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Performance tracking tool of algorithmic trading strategies.

, 2022
In this thesis, an algorithmic trading performance tracking tool system was created. The differences of forward testing and backtesting for algorithmic trading strategies were investigated.
Valenčius, Antanas,
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Polarity‐Reversible Photoresponse–Driven Autonomous Wavelength Discrimination in Quantum Dot–Tellurium Thin‐Film Photodetectors via Engineered Energy‐Band Alignment

Advanced Functional Materials, EarlyView.
A quantum dot–tellurium thin‐film photodetector autonomously discriminates visible and infrared wavelengths through polarity‐reversible photoresponses. Engineered carrier separation and gain modulation enable filter‐free multispectral sensing within a single‐device architecture.
Yong Min Lee, Jungho Kim, Hyung Jin Choi, Woosik Kim, Byung Ku Jung, Young Kyun Choi, Taesung Park, Soong Ju Oh   +7 more
wiley   +1 more source

Investigating the profit performance of quantitative timing trading strategies in the Shanghai copper futures market, 2020–2022

International Studies of Economics
In conducting an extensive examination, we scrutinize the efficacy of algorithmic trading strategies applied to Futures CopperMainContinuous in the Shanghai Futures Exchange, utilizing a comprehensive data set spanning from January 2020 to December 2022.
Hongyu Tian, Wei Wang, Mengxin Yang, Ali Yilmaz   +3 more
doaj   +1 more source