Cryptocurrency trading : from single-factor model to multifactor model by taking long-short strategies

Mestrado Bolonha em FinançasThis study explored the impact of different indicator factor models on the performance of portfolios under the same trading strategy within the same time frame. The indicator factors selected were the Commodity Channel Index (CCI), Volume, and Bollinger bands (Boll count). The trading strategy employed is known as the 'Long-short pairing strategy', which involves taking a long and holding position in a single coin ranked first while short-holding a coin ranked last at the same time. 264 Coins that are traded on Binance plarforms are included in this research, and coin selection process is refreshed every 6 hours. The time frame considered for this analysis spans from September 20, 2020, to September 20, 2023. The evaluation metrics for portfolio performance are the accumulated net value, annual return, portfolio standard deviation, Sharpe ratio, maximum draw-down, information ratio, etc. The hyper-parameter of the factors was tuned by machine learning using Grid search. The results showed that combining additional factors into the model can increase annual returns. However, reducing portfolio volatility and risk exposure is in doubt. Also, the impact of additional factors on portfolio performance and risk can vary significantly depending on the specific factors and their correlations, emphasising the importance of careful factor selection and combination in portfolio optimisation.Este estudo explorou o impacto de diferentes modelos de fatores indicadores no desempenho de portfólios sob a mesma estratégia de negociação dentro do mesmo período de tempo. Os fatores indicadores selecionados foram o Índice de Canal de Mercadorias (CCI), Volume e Contagem de Boll. A estratégia de negociação empregada é conhecida como 'ESTRATÉGIAS DE MERCADO NEUTRO', que envolve assumir uma posição longa e manter em uma única moeda classificada em primeiro lugar, enquanto simultaneamente mantém uma posição curta em uma moeda classificada em último lugar. 264 moedas negociadas nas plataformas Binance estão incluídas nesta pesquisa, e a seleção das moedas é atualizada a cada 6 horas. O período de tempo considerado para esta análise abrange de 20 de setembro de 2020 a 20 de setembro de 2023. As métricas de avaliação do desempenho do portfólio incluem o valor acumulado líquido, retorno anual, desvio padrão do portfólio, índice Sharpe, rebaixamento máximo, índice de informação, entre outros. Os hiperparâmetros dos fatores foram ajustados por meio de aprendizado de máquina, usando Grid search. Os resultados mostraram que a combinação de factores adicionais no modelo tem grandes possibilidades de aumentar os retornos anuais, no entanto, as capacidades para reduzir a volatilidade da carteira e a exposição ao risco estão em dúvida.Além disso, o impacto de factores adicionais no desempenho e risco da carteira pode variar significativamente dependendo de os fatores específicos e suas correlações, enfatizando a importância da seleção e combinação cuidadosa dos fatores na otimização do portfólio.info:eu-repo/semantics/publishedVersio

Numerical Modelling and Simulation of Two-Phase Flow Flushing Method for Pipeline Cleaning in Water Distribution Systems

Secondary pollution by microorganisms and substances peeling of from the “growth ring” causes clean water deterioration during the water distribution process. In order to reduce the secondary pollution, our previous research investigated the best settings of a two-phase flow flushing method for pipeline cleaning in water distribution systems experimentally, and a case study was carried out for comparison of the efficiencies between two-phase and single-phase flow methods. In this paper, based on the results of the experimental study, numerical modelling and a simulation study are carried out by FLUENT to evaluate the performance of the two-phase flow flushing method for removal of the “growth ring”. Results: the simulation results match the experimental results; pressure, water-phase flow velocity and water-phase volume ratio distributions in a section of pipe are simulated and analysed; the shear force against time in a period is obtained; elbow pipes cause flushing energy loss, and therefore, at most one section of elbow pipe is flushed in one flushing perio

The performance of a heat pump using nanofluid (R22+TiO2) as the working fluid – an experimental study

It has been well known that the nano-particles, including metals, oxides, carbides, or carbon nanotubes, can increase the conduction and convection coefficients and consequently, enhance the heat transfer. Using nanofluids as working fluids in the refrigeration, air-conditioning and heat pump systems has attracted much attention. This work set-up a test rig to experimentally study the system performance of a heat pump with nanofluid as refrigerant, which was prepared by mixing 5wt% TiO2 with R22. Results show that adding the nano particle TiO2 didn’t changed the heat absorbed in the evaporator clearly but increase the heat released in the condenser. As a results, compared to using pure R22, when using R22 + TiO2, the COP of the cooling cycle was decreased slightly, however, the COP of the heating cycle was increased significantly increased power consumption of compression.publishedVersio

Design and implementation of an IoT based indoor air quality detector with multiple communication interfaces

Indoor air quality monitoring has attracted increasing attention with the rapid development of industrialization and urbanization in the modern society as people typically spend more than 80% of their time in indoor environments. A novel indoor air quality detector (IAQD) integrated with multiple communication interfaces has been designed, built, programmed deployed and tested in order to meet the requirements of wide variety of scenarios. The IAQD measures the indoor air quality data, including temperature, humidity, CO2, dust and formaldehyde timely. With state-of-the-art Internet of Things (IoT) technologies, the IAQD is integrated with Modbus, LoRa, WiFi, GPRS and NB-IoT communication interfaces, which enables to be applied to wired communications, short-range wireless communications, and remote transmission to the cloud. The designed software in cloud allows users to track the indoor air quality of their home or office or industries everywhere. The performance IAQD is evaluated in terms of packet loss rate and time delay. The evaluation of IAQD are demonstrated and analyzed within the office environment over a week. Experimental results show that the proposed system is effectiveness in measuring the air-quality status and provide excellent consistency and stability

Acid-Triggered Self-Assembled Egg White Protein-Coated Gold Nanoclusters for Selective Fluorescent Detection of Fe\u3csup\u3e3+\u3c/sup\u3e, NO2\u3csup\u3e-\u3c/sup\u3e, and Cysteine

Herein, we present a simple and economical synthesis for the first multianalyte probe able to selectively quantify the concentrations of Fe3+, NO2-, and cysteine. It comprises H+-triggered self-assembled gold nanoclusters (AuNCs@EW/H+, AuEHs), showing enhanced red fluorescence at 640 nm. The AuEH is a good fluorescent nanosensor for Fe3+ and NO2- with detection limits of 1.40 and 2.82 nM, respectively. Iron detection, through fluorescence quenching, occurs because of nanocluster aggregation elicited by the complexation of Fe3+ with amino acids on the surface of AuEH; nitrite detection likely proceeds through fluorescence quenching via the disassembly of the nanoclusters following irreversible oxidation by nitrite. This selectivity is good enough that it can be used to quantify the nitrite concentration in commercially available processed meat. Cysteine detection occurs through the restoration of fluorescence of iron-quenched samples; similar molecules including homocysteine and glutathione are unable to restore fluorescence, showing the specificity of the interaction. Applications, including as a detecting ink and as a biocompatible probe, show promise because of the lack of observable toxicity of the AuEHs, demonstrating their promise as specific and sensitive biosensors

The influence of obesity on the outcome of treatment of lumbar disc herniation: analysis of the Spine Patient Outcomes Research Trial (SPORT).

BACKGROUND: Questions remain as to the effect that obesity has on patients managed for symptomatic lumbar disc herniation. The purpose of this study was to determine if obesity affects outcomes following the treatment of symptomatic lumbar disc herniation. METHODS: An as-treated analysis was performed on patients enrolled in the Spine Patient Outcomes Research Trial for the treatment of lumbar disc herniation. A comparison was made between patients with a body mass index of/m² (nonobese) (n = 854) and those with a body mass index of ≥30 kg/m² (obese) (n = 336). Baseline patient demographic and clinical characteristics were documented. Primary and secondary outcomes were measured at baseline and at regular follow-up time intervals up to four years. The difference in improvement from baseline between operative and nonoperative treatment was determined at each follow-up period for both groups. RESULTS: At the time of the four-year follow-up evaluation, improvements over baseline in primary outcome measures were significantly less for obese patients as compared with nonobese patients in both the operative treatment group (Short Form-36 physical function, 37.3 compared with 47.7 points [p \u3c 0.001], Short Form-36 bodily pain, 44.2 compared with 50.0 points [p = 0.005], and Oswestry Disability Index, -33.7 compared with -40.1 points [p \u3c 0.001]) and the nonoperative treatment group (Short Form-36 physical function, 23.1 compared with 32.0 points [p \u3c 0.001] and Oswestry Disability Index, -21.4 compared with -26.1 points [p \u3c 0.001]). The one exception was that the change from baseline in terms of the Short Form-36 bodily pain score was statistically similar for obese and nonobese patients in the nonoperative treatment group (30.9 compared with 33.4 points [p = 0.39]). At the time of the four-year follow-up evaluation, when compared with nonobese patients who had been managed operatively, obese patients who had been managed operatively had significantly less improvement in the Sciatica Bothersomeness Index and the Low Back Pain Bothersomeness Index, but had no significant difference in patient satisfaction or self-rated improvement. In the present study, 77.5% of obese patients and 86.9% of nonobese patients who had been managed operatively were working a full or part-time job. No significant differences were observed in the secondary outcome measures between obese and nonobese patients who had been managed nonoperatively. The benefit of surgery over nonoperative treatment was not affected by body mass index. CONCLUSIONS: Obese patients realized less clinical benefit from both operative and nonoperative treatment of lumbar disc herniation. Surgery provided similar benefit over nonoperative treatment in obese and nonobese patients

Design and Implementation of Energy Saving Controller for Air-Conditioner in Building

This paper has completed the hardware design of STM32F103 system circuit, infrared code learning module, human body infrared sensor module, indoor temperature and humidity sensor module, completes the software design of learning air conditioning remote control code, indoor temperature and humidity sensor module, also completes the energy-saving controller hardware and software debugging. Finally, this paper takes split type air conditioning units in a conference room as the control object (including indoor lighting system) to complete the energy-saving controller in air conditioner electrical system design, installation and debugging, completes the air conditioning start-stop and infrared temperature control code learning test. The test results show that energy-saving controller has realized infrared automatic perception of human activity, machine start-stop code self-learning and temperature settings and other functions

Carbon dots for specific “off-on” sensing of Co\u3csup\u3e2+\u3c/sup\u3e and EDTA for in vivo bioimaging

Fluorescent carbon dots (CDs) were hydrothermally synthesized from a mixture of frozen tofu, ethylenediamine and phosphoric acid in an efficient 64% yield. The resulting CDs exhibit good water solubility, low cytotoxicity, high stability, and excellent biocompatibility. The CDs selectively and sensitively detect Co2+ through fluorescent quenching with a detection limit of 58 nM. Fluorescence can be restored through the introduction of EDTA, and this phenomenon can be used to quantify EDTA in solution with a detection limit of 98 nM. As both analytes are detected by the same CD platform, this is an “off-on” fluorescence sensor for Co2+ and EDTA. The technique\u27s robustness for real-world samples was illustrated by quantifying cobalt in tap water and EDTA in contact lens solution. The CDs were also evaluated for in vivo imaging as they show low cytotoxicity and excellent cellular uptake. In a zebrafish model, the CDs are rapidly adsorbed from the intestine into the liver, and are essentially cleared from the body in 24 h with no appreciable bioaccumulation. Their simple and efficient synthesis, combined with excellent physical and chemical performance, renders these CDs attractive candidates for theranostic applications in targeted “smart” drug delivery and bioimaging