Application of Technical Analysis to the Stock Market
Money drives the world and in times of crisis, money is more important than ever. Most political, economic and, as we have seen recently, health crises are accompanied by pressure on the economy. With such pressure, ordinary citizens are worried about their money, which is at risk either from inflation or from an uncertain economic outlook. In such times, some people resort to appreciating their money by investing. It is wise investments that can protect savings from inflation, or at least mitigate the effects of inflation. Investing in the stock market is among the most popular ways of investing. During the global coronavirus crisis, the number of small investors more than doubled (Galik and Brody [2022]), and in 2021, Covid (new) investors accounted for 15 % of investors in the U.S. market (Schwab [2021]). It is this phenomenon that inspired the author to write this paper. Investing in the stock market is one of the riskiest forms of investment, which means that there is a high probability of losing the originally invested capital. Some companies that allow retail investors to invest state that more than 90 % of their users lose their capital when investing in the stock market. On the other hand, investing in the stock market has one of the greatest potentials for profit. In the case of a long-term investment in index funds, for example, an average annual appreciation of between 8 % and 12 % can be expected (the average appreciation of the S&P 500, the most famous US index). However, it is necessary to wait several years for stable results. To see appreciation in a long-term portfolio, it is recommended to wait at least 12 years. This is because if a recession or a simple market correction comes, said portfolio can lose up to 50 % of its value in a year. But as history shows, markets do rise over the long term, and that is what long-term investors bet on, waiting for their capital to appreciate over time. But the market does not grow all the time. The market often changes price trends, and in some rare cases a long-term trend can reverse for up to several tens of months. This phenomenon, volatility, is attempted to be exploited by so-called speculators. A speculator is an investor who sells and buys in short periods of time and thus speculates on price movements. The speculator therefore needs a way to determine the likely behaviour of the price in the foreseeable future in order to make their trades profitable. The two main ways of analysing price behaviour are fundamental and technical analysis. And since fundamental analysis incorporates a large amount of diverse information into its predictions, this paper concentrates on working with technical analysis.
DEVELOPMENT AND USE OF LASER 3D SCANNER OF PREMISES
This research work is devoted to the stages of development and creation of a prototype of a laser 3D scanner model, programming of a controlling microcontroller, construction of 3D models of a scanned object. In the course of the work, the market of 3D scanners, which are used to build three-dimensional models of premises, was analyzed, the equipment necessary for the development and creation of the prototype was analyzed, as well as the software necessary for the operation of the prototype. The result of the work was the creation of a laser 3D scanner based on an Arduino microcontroller using a Lidar type sensor that scans and builds 3D models of objects. This working model of the 3D scanner demonstrates good capabilities and turned out to be easy to use.
Laying waste to Energy problems
This research aims at exploiting civil and pre-treated industrial wastewaters that go into the purifier and those that come out of it after various treatments in order to build a galvanic cell with the goal of producing clean electric energy. Our background hypothesis is that it is possible to exploit the existing potential difference between these two types of water to generate electricity. In fact, the water sent for purification contains elements (carbon, nitrogen, sulphur, phosphorus, etc.) in a predominantly "reduced" state and its oxygen level is scarce. On the other hand, the water coming out of the process contains the same elements in a mostly "oxidized" state and it is rich in oxygen. Those chemical discrepancies should get the job done. In order to simulate the two types of water, two different solutions were prepared. The first one is highly concentrated with pollutants and gaseous nitrogen is insufflated in it to reproduce its anoxic environment. The second one’s pollution level is based on the Italian legislative limits of chemical contaminants for superficial waters (Legislative Decree 152/2006) and the semi-cell is insufflated with gaseous oxygen.
Air quality monitoring project as an educational tool for sustainable development
The research project has an extremely relevant topic - the creation of an air quality monitoring system for general secondary education. In the context of the Covid 19 pandemic, proper air sanitation is a determining factor in counteracting the spread of coronavirus infection. Special requirements for the procedure of systematic ventilation of educational premises are set before teachers and technical staff of schools "Sanitary Regulations for General Secondary Education Institutions", which is mandatory for implementation in general secondary education institutions. Together with measures to counter the Covid 19 pandemic, the new health regulations somewhat neglect resource conservation and energy efficiency issues: ventilation during the heating season can lead to wasteful heat losses. Monitoring the quality of air purification is simply necessary if teachers and parents care about creating a safe educational environment for students at school. Requirements for air safety determine and regulate its characteristics such as temperature, humidity, the presence of dust particles of different sizes, the concentration of carbon dioxide (CO2), carbon monoxide (CO) and formaldehyde vapors. The level of hazardous substances such as formaldehyde, which can be released from building materials, carbon monoxide and carbon dioxide, should be closely monitored in accordance with the recommendations of sanitary regulations and hygiene requirements of health care facilities. With increased concentrations of carbon dioxide above normal, the human body will experience the negative effects of hypoxia: poor health, drowsiness, decreased cognitive processes, learning becomes less effective. Carbon monoxide is a poisonous substance that can damage the body, poison hemoglobin and cause constant hypoxia of all organs and systems, long stay indoors with it leads to death. Formaldehyde causes carcinogenic effects, and the excess concentration of dust particles worsens the condition of people with allergies and bronchial asthma, as well as dust promotes bacterial growth and the spread of viral particles, which is especially dangerous in a coronavirus pandemic. Our solution allows for a transparent permanent monitor of air quality in the school, makes this monitoring completely inclusive - because any user from among the participants in the educational process has access to up-to-date information about the air in the school and can make informed decisions about proper behavior Our system allows students to become more responsible, independent in terms of sanitary requirements and compliance. Therefore, the main idea of our project is extremely relevant today - to organize a digitalized system for monitoring the quality of air purification in the school, thus preventing inadequate ventilation with wasteful heat loss and reduced energy efficiency of the school building. The project has signs of sustainability - it is in line with the Sustainable Development Goals – 3 «Good health and well-being», 4 «Quality education», 5 «Gender equality», 11 «Sustainable cities and communities», 12 «Responsible consumption and production» and 13 «Climate action»
CREATION AND RESEARCH OF ECOLOGICAL MATERIALS AS AN ALTERNATIVE TO SYNTHETIC POLYMERS
The research work is dedicated to analyzing the impact of disposable tableware and packages made from synthetic polymers on people and the environment, and the search for ecological alternatives to synthetic polymers used in their production. Various types of disposable tableware and packages, their composition, production technology, harmful effects on the human body, environmental pollution, processing and recycling were studied. The statistics of the use of disposable tableware and packages in Ukraine and the world as a whole, the places of their use were analyzed. Ecological alternatives to disposable tableware and packages made from various natural materials have been studied. A practical study of the use of organic waste and wastepaper for the production of ecological disposable dishes and packages was carried out.
Analysis of lncRNA, miRNA , mRNA-associated ceRNA networks include in promoting glioma cancer
The ceRNAs as a class of RNAs act by competitively binding to miRNAs and limiting their regulatory effect on the target genes. Increasing evidences point to the role of ceRNAs in glioma cancer. So far, limited studies have been reported on the role of ceRNA in the development in glioma cancer. In this study, we have analyzed online RNA sequencing data in order to predict the ceRNAs which are putative regulators of in glioma cancer.
EVALUATION OF THE SURFACE TENSIO, LARVICIDAL AND ANTIBACTERIAL ACTIVITY OF PLANT EXTRACTS FROM THE LEAF OF THE ARACA TO COMBAT THE PROLIFERATION OF THE Aedes aegypti MOSQUITO IN STILL WATER CONTAINERS
The Aedes aegypti mosquito is one of the main transmitters of viral diseases in countries close to the equator. This vector promotes a series of generalized endemics that are difficult to control and prevent in these regions. Furthermore, the presence of bacteria in the environment favors the proliferation of mosquito larvae, which increases the probability of Aedes aegypti reproductive success. The Araçzeiro (Psidium guineense Sw.) is a plant present throughout the Brazilian Atlantic Forest and has in its composition, especially in the leaves, several substances that can be used to solve problems. Thus, we sought to verify the activity of flavonoids and polyphenols in terms of their antibacterial potential and the performance of saponins in their larvicidal potential, as well as surfactant, in order to prevent the accommodation of the mosquito in the water at the time of egg deposition and larvae respiration. The saponins were extracted from the araçazeiro leaf using a hydroalcoholic solvent and the flavonoids/polyphenols using methanol, the latter being subsequently rotaevaporated to maintain the non-toxic nature of the extract. Through the aqueous extracts, the content of total saponins by UV-VIS spectrophotometry, surfactant activity, larvicidal activity and toxicity were determined. In relation to the ethanolic extracts, the content of polyphenols and total flavonoids by UV-VIS spectrophotometry and high performance liquid chromatography (HPLC), antibacterial activity and toxicity were determined. The results showed that the aqueous extract has a satisfactory amount of saponins, as well as a surfactant potential due to the formation of foam and larvicidal activity in the two highest concentrations of the extracts. Ethanol extracts showed phenolic acids, especially gallic and ellagic acid, and flavonoids, especially catechin and quercetin, and antibacterial activity in most of the worked concentrations. Both extracts (aqueous and ethanolic) showed a dominant nontoxic character, which favors their use without risk to the environment, having an alternative and sustainable potential for controlling the proliferation of the Aedes aegypti mosquito.
Face Pose Estimation using ResNet50 in the Metaverse
Face pose estimation has many possible applications, ranging from driver attention measurement systems to applications in the metaverse, which this project will be focused on. Rather than using a more traditional landmark-to-pose method where the head pose is estimated via keypoints, our method trains a simple convolutional neural network, using the dataset 300W_LP, where the images are simply inputted into the network. The model is fitted with three fully connected layers that are linked to the each of the three Euler angles (yaw, pitch, and roll), alongside multiple loss functions, which improve the robustness of the network.