Technical Analysis Methods Research Articles

Financial Instrument Forecast with Artificial Intelligence

In ancient times, trade was carried out by barter. With the use of money and similar means, the concept of financial instruments emerged. Financial instruments are tools and documents used in the economy. Financial instruments can be foreign exchange rates, securities, crypto currency, index and funds. There are many methods used in financial instrument forecast. These methods include technical analysis methods, basic analysis methods, forecasts carried out using variables and formulas, time-series algorithms and artificial intelligence algorithms. Within the scope of this study, the importance of the use of artificial intelligence algorithms in the financial instrument forecast is studied. Since financial instruments are used as a means of investment and trade by all sections of the society, namely individuals, families, institutions, and states, it is highly important to know about their future. Financial instrument forecast can bring about profitability such as increased income welfare, more economical adjustment of maturities, creation of large finances, minimization of risks, spreading of ownership to the grassroots, and more balanced income distribution. Within the scope of this study, financial instrument forecast is carried out by applying a new methods of Long Short Term Memory (LSTM), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), Autoregressive Integrated Moving Average (ARIMA) algorithms and Ensemble Classification Boosting Method. Financial instrument forecast is carried out by creating a network compromising LSTM and RNN algorithm, an LSTM layer, and an RNN output layer. With the ensemble classification boosting method, a new method that gives a more successful result compared to the other algorithm forecast results was applied. At the conclusion of the study, alternative algorithm forecast results were competed against each other and the algorithm that gave the most successful forecast was suggested. The success rate of the forecast results was increased by comparing the results with different time intervals and training data sets. Furthermore, a new method was developed using the ensemble classification boosting method, and this method yielded a more successful result than the most successful algorithm result.

The method of technical and technological automobile analysis considering the evolution of design parameters

The method of technical and technological automobile analysis considering the evolution of design parameters

DIGITAL IMPERATIVES FOR THE DEVELOPMENT OF THE FINANCIAL MARKET OF THE NATIONAL AND WORLD VECTOR

Аbstract. Trends in the modern financial market are characterized by new challenges of the financial environment and the impact of digital transformation, which form abnormal areas of development. Defining trends, digital models, determinants and technologies of the financial market has become an urgent necessity. The object of the study is the trends in the Ukrainian financial market and global markets of financial derivatives, Forex, ОТС markets group under digital transformation. For this purpose, we have applied the methods of nonlinear dynamics, time series, technical and fundamental analysis, modeling, forecasting, market divergence, fluctuations and behaviorism. The study of the financial market has identified: the dominant trend in digital imperatives and digital technologies of the financial space; the cyclic and behavioristic development of the Ukrainian financial market; the growth in actualization of activities of Ukrainian financial institutions, which is associated with the alternative parabanking services; higher growth rates (3,3 units) of exchange transactions with precious metals, the dependence of the dynamics of currency on the impact of the global digital imperatives; the growth in OTC derivatives trades (the rate of growth of 1.1 units). Determinants of trends financial market are: financial and economic policy, digitalization of society, force majeure. The study of forecast patterns of changes in trends has enabled to determine the economic and mathematical model for calculating the index of forecasting the price of a digital financial asset and income from a transaction with cryptocurrency. A close correlation-regressive relationship (linear R2 = 0.6361, exponential R2 = 0.6948, power R2 = 0.7142) of the cryptocurrency exchange rate from the trading interest is determined (the elasticity coefficient is 2.7 units).
 Keywords: financial indicators, determinants, financial assets, derivatives, patterns, digital financial technologies, forecasting, Forex, OTC.
 JEL Classification G12, G13, G17
 Formulas: 3; fig.: 7; tabl.: 3; bibl.: 16.

Feasibility Study Comparison of Pavement Designs Using Local Materials

The possibility of using local materials in the construction of structural layers of pavement is considered in the paper. The paper presents a method of technical and economic analysis, for which it is necessary to know the calculated deformation moduli of the materials being compared. Knowing the turnaround time for each of the options under consideration, it is possible, by comparing them with the payback periods, to more fully identify the technical and economic features of such options. The main criterion for the admissibility of the use of local material in the corresponding structural layer is the equal strength of pavement structures or individual structural layers made of local and imported materials. The criterion of economic feasibility of using local material can be written as an inequality. Using the principle of equivalence of systems, it is possible to replace individual structural layers of pavement, made of certain materials, with equivalent layers of stiffness from other materials, increasing or decreasing their thickness, depending on the strength characteristics of the materials themselves. The main condition for the technical feasibility of using local material has been determined on the basis of the condition of equal strength structures made from local and imported materials. A schedule for preliminary determination of the technical and economic feasibility of using local materials in the structural layers of road pavements has been built. The total value of the investment costs can be used as an additional criterion for the economic benefits of the compared options.

Kalām Khabar (Informative Sentence) In Mudzakarāt Ṭabībah Works of Nawal El Sa'dāwi (Pragmatic Analysis)

This study is a literature research that discusses the kalām khabar in the Mudzakarāt Tabībah novel. Furthermore, the author uses the technical distribution data analysis method for direct elements by presenting the data using a random sample because there are too many kalām khabar found. From 100 data as samples, researchers found 68 kalām khabar which did not experience deviations and 38 kalām khabar which experienced deviations. Kalām khabar which has no deviation is 62 kalām khabar ibtidāi (with details of 14 ibtidāi for al-istirhām, 10 ibtidāi for iẓhārut-da'fi, 6 ibtidāi for iẓhārut-tahassur, 4 ibtidāi for al-fakhr, and 27 ibtidāi to encourage efforts and diligent), 1 kalām khabar aims at iẓhārut-da'fi, 2 kalām khabar ṭalabī (aims to encourage and be diligent), 2 kalām khabar inkāri (aim at iẓhārut-da'fi and aim at iẓhārut-tahassur). Whereas kalām khabar which has deviations, namely 2 kalām khabar ibtidāi-ṭalabī aims for iẓhārut-da'fi, 2 kalām khabar ibtidāi-ṭalabī aims to urge to try and be diligent, 1 kalām khabar ibtidāi-inkārī aims to istirhām, 1 kalām khabar ibtārām aims at istirhām, 1 kalām khabar ibtidāi-inkārī khabar ibtāruthām, 1 kalām khabar ibtārutām -tahassur, 1 kalām khabar ṭalabī-ibtidāi aims at istirhām, 3 kalām khabar ṭalabī-ibtidāi aims ṭalabrut-ibtidāy tries khabar ṭalabī-inkārī aims at istirhām, 1 kalām khabar inkārī-ibtidāi aims at iẓhārut-da'fi, 1 kalām khabar inkārī-ibtidāi aims at iẓhārut-tahassur, 1 kalām khabar inkārī-ibtidām aims to encourage inkārī-ibtidām khabar inkārī-ibtidām

Households’ credit demand: Main trends and characteristics for Ukraine

Household demand for credits is quite volatile, which requires constant evaluation of it changes. The purpose of the paper is to identify quantitative signals, the use of which increases the predictability of the credit market development. The study utilizes technical analysis methods for an econometric estimation of trends in household demand for credits in Ukraine for the 2002–2019 period. Based on the analysis of historical market lows, it was argued that with all the negative effects of destabilizing factors, the household demand for loans will not fall below the market support point of UAH 50 million. The financial behavior of Ukrainian households when choosing the type of loan is stable and does not change with fluctuations in GDP. Short-term loans are quite dynamic and largely depend on macroeconomic conditions, provoking market movements. If the relevant direction is supported by medium-term loans, the general market trend will correspond to the GDP trend. The demand for long-term loans is quite inertial, its change does not affect the overall market trend. The constant and variable elements of household demand for credit are highlighted.

Appeal of Actions and Decisions of Public Authorities to a Higher Instance

. The judicial procedure for appealing of actions and decisions of public authorities is the most common way to protect violated rights. However, the implementation of this right does not always end with the adoption of a decision in favor of the subject of appeal, and they appeal to a higher court. In this case, the appeal procedure has its own peculiarities associated not only with the difference in procedural rules, but also with the difference in the court to which the examined complaint is sent. Therefore, consideration of the mechanism for the implementation of one of the main administrative rights of citizens, organizations, enterprises and institutions is relevant. In addition, the relevance of this research is due to the ongoing judicial reform, in accordance with which the system of appeal and cassation courts was created, thereby changing the procedure for appealing to a higher instance. The purpose of this study is a comprehensive analysis of the mechanism for appealing actions and decisions of agency of State administration. The objective of this study is to review the procedural rules that provide the basis and procedure for appealing actions and decisions of public authorities. In this study, we used a comparative legal and systematic method, a method of technical and legal analysis.

Adaptive trading system based on LSTM neural network

With the continuous development of statistics and computer technology, the methods of technical analysis are also constantly expanding. A large number of statistical and mathematical methods have been applied to the analysis of stocks, which greatly expands the tools available for stock analysis. With the rapid development of deep learning and the great progress of computer hardware technology, statistical learning algorithms have been widely used in big data processing. Including convolutional neural network model and cyclic neural network model, have shown great advantages in the processing of time series such as images, speech and text. In today’s financial market, due to the existence of a large number of assets and fast information flow, people are more and more inclined to use quantitative investment. Quantitative investment as a means of financial sector, the New Deal, which is mainly composed of fundamental analysis and technical analysis from the traditional investment method, its core is to use mathematical model set up trading strategy, and with the help of computer technology on the financial data for quantitative analysis, and judgment, found that financial market rules, eliminating dependence on the experience of the people in the course of investment and emotional impact, so as to guide investment decisions. In order to improve the prediction ability of LSTM neural network model, this paper chooses the stack LSTM neural network model, and combines the stack LSTM neural network model with ADAM algorithm to achieve better prediction results. The empirical results show that the prediction effect of ADAM-based stack LSTM neural network is better than that of ADAM-based LSTM neural network.

Stock exchange trading optimization algorithm: a human-inspired method for global optimization.

In this paper, a human-inspired optimization algorithm called stock exchange trading optimization (SETO) for solving numerical and engineering problems is introduced. The inspiration source of this optimizer is the behavior of traders and stock price changes in the stock market. Traders use various fundamental and technical analysis methods to gain maximum profit. SETO mathematically models the technical trading strategy of traders to perform optimization. It contains three main actuators including rising, falling, and exchange. These operators navigate the search agents toward the global optimum. The proposed algorithm is compared with seven popular meta-heuristic optimizers on forty single-objective unconstraint numerical functions and four engineering design problems. The statistical results obtained on test problems show that SETO is capable of providing competitive and promising performances compared with counterpart algorithms in solving optimization problems of different dimensions, especially 1000-dimension problems. Out of 40 numerical functions, the SETO algorithm has achieved the global optimum on 36 functions, and out of 4 engineering problems, it has obtained the best results on 3 problems.

SCIENTIFIC BASES FOR STOCK MARKET FIASCO FORECASTING TECHNOLOGY WITH USE OF INFORMATION SPACE ENTROPY

The article contains a theoretical study and description of general algorithm for predicting a stock market fiasco caused by non-financial and other factors. Market fiasco is considered as non-periodical, sudden and random event which can arise due to the many latent reasons. Methods of technical and fundamental analysis are useless to solve this problem, therefore, the use of systems analysis methods is proposed. The author’s idea is the numerical calculation of search queries entropy as a part of global information space. Decrease in the Renyi’s entropy, associated with rapid grow search queries, containing key terms from the subject area, indicates the possible stock market fiasco in the near future. This article presents an algorithm for the dynamic calculation of Renyi’s entropy, allowing predict rare events which are not reflected in statistical data (or frequency of their realizations is too small). The method and algorithm can be realized in trade information systems and decision-making systems in economic sphere.

Advances in Application of Fingerprint Technology in Food Analysis

Fingerprint technology is based on a certain characteristic of the sample. It uses modern analysis methods to obtain chromatogram, spectra and other spectral data that can represent the characteristics of the sample, so as to carry out component identification and quality control. It is a quantifiable method that is fast, sensitive, convenience and other advantages. It is a quantifiable method that has the advantages of rapid, sensitive and convenient. It is not only widely used in the traditional Chinese medicine industry, but also have huge application potential in food sources, quality testing and authenticity identification. The commonly used technical means of fingerprints include high performance liquid chromatography, gas chromatography, capillary electrophoresis and other chromatographic methods, ultraviolet spectroscopy, infrared spectroscopy, fluorescence spectroscopy and other spectroscopy methods, biological fingerprints and nonlinear chemical fingerprints, etc. Analysis methods mainly include chemical pattern recognition and other similarity evaluation methods. This paper mainly introduces the common technical methods and analysis methods of fingerprints, and summarizes the application of chemical fingerprint, biological fingerprint and non-linear chemical fingerprint in many fields such as food origin, species identification, adulteration identification, identification of famous and excellent products, batch consistency evaluation and variety selection. At the same time, the future development of food fingerprints is prospected.

An AI-Enabled Stock Prediction Platform Combining News and Social Sensing with Financial Statements

In recent years, the area of financial forecasting has attracted high interest due to the emergence of huge data volumes (big data) and the advent of more powerful modeling techniques such as deep learning. To generate the financial forecasts, systems are developed that combine methods from various scientific fields, such as information retrieval, natural language processing and deep learning. In this paper, we present ASPENDYS, a supportive platform for investors that combines various methods from the aforementioned scientific fields aiming to facilitate the management and the decision making of investment actions through personalized recommendations. To accomplish that, the system takes into account both financial data and textual data from news websites and the social networks Twitter and Stocktwits. The financial data are processed using methods of technical analysis and machine learning, while the textual data are analyzed regarding their reliability and then their sentiments towards an investment. As an outcome, investment signals are generated based on the financial data analysis and the sensing of the general sentiment towards a certain investment and are finally recommended to the investors.

Role of principles of law from the perspective of legal impact in modern Russia: theoretical and technical-legal aspects

The article discusses the problems related to the implementation of the legal impact on modern Russia and the role of the principles of law as the underlying idea behind that impact. This research aims to structure visions of the main characteristics and classifications of the principles of law in the context of their formalization. The authors use the method of technical analysis of regulations, which is important to meet the requirements of legal engineering. As a result of the work carried out, the authors suggest that, on the one hand, it is important to aim at the standardization of the principles of law as accurately and accurately as possible in legislation. On the other hand, they assume that principles that are already assured in legislation but have not yet been recognized by the scientific community must also obtain an assessment and justified characteristics in the doctrine. They conclude that, from a technical-legal point of view, a principle of law that is not scientifically recognized does not disappear from the legal framework if it is institutionalized as such in effective legislation. On the contrary, essentially new principles enshrined in legislation should not be ignored by legal science.

Customizable and committee data mining framework for stock trading

This study proposes a customizable and committee data mining (DM) framework for stock trading. The underlying conjecture is that different stocks may have different trading properties. A well-performing DM algorithm for a particular stock may not work well for other stocks. Therefore, the trading method designed for a particular stock should be customizable. To systematically obtain a customizable solution, we propose a research framework that can accommodate a large number of trading classifiers. Then, we select the well-performing ones to form a committee to make trading decisions for a particular stock. A committee decision is made because the best-performing trading classifier in a particular scenario (called validation phase) may not be the best one in another scenario (called testing phase). Therefore, some other well-performing classifiers afford their own advantages. We therefore extend the ensemble concept to form a customizable committee of well-performing classifiers that makes a trading decision by voting. To justify the idea of a customizable committee classifier, we slightly modify the framework and develop another trading method called customizable champion classifier in which only the best-performing classifier in the validation phase is used for stock trading. Using 12 stocks listed in the Taiwan Stock Exchange (TWSE) as test examples, the proposed customizable committee method outperforms the customizable champion method as well as six benchmarks methods (the buy-and-hold strategy and five popular technical analysis methods). To fairly compare a stock-trading method against the buy-and-hold strategy, two issues that have been rarely noted in literature are addressed in this study.

Direction-of-change forecasting in commodity futures markets

This paper examines direction-of-change predictability in commodity futures markets using a variety of binary probabilistic techniques. As well as traditional techniques, we apply Variable Length Markov Chain (VLMC) analysis, an innovative technique popularised in computational biology when predicting DNA sequences (Bühlmann & Wyner, 1999). To the best of our knowledge, this is the first application of VLMC in finance. Our results show that both VLMC and technical analysis methods provide strong predictability of the direction-of-change of commodity returns, with annualised mean returns of approximately 8%, substantially higher than the passive long strategy. Our results suggest that a short-term learning effect is present in commodities market which can be exploited using innovative direction-of-change forecasting techniques.

Weightlifting: An Applied Method of Technical Analysis

ABSTRACT Weightlifting is a highly technical sport that is governed by interactions of phases to optimize the load lifted. Given the technicality of the snatch and the clean and jerk, understanding key stable components to identify errors and better prescribe relevant exercises are warranted. The aim of this article is to present an applied method of analysis for coaches that considers the biomechanical underpinnings of optimal technique through stable interactions of the kinetics and kinematics of the lifter and barbell at key phases of the lift. This article will also look to discuss variable components that may differentiate between athletes and therefore provide a foundation in what to identify when coaching weightlifting to optimize load lifted while allowing for individual variances.

To the mathematical model of the process of contact heating of seeds in vacuum

Annotation Purpose. To increase the degree of adequacy of the mathematical model of contact heating of seeds in a vacuum due to the refinement of the overall coefficient of thermal conductivity. Methods. The study of the mathematical model of the process of contact heating of seeds in vacuum was carried out using the methods of optical physics, planimetry, thermal physics. Mathematical dependencies were developed using algebraic transformations. The analysis of the obtained mathematical dependencies was carried out by the methods of technical analysis and graphic-analytical methods by comparing the graphs of the seed heating kinetics. Results. The total heat flow in the vacuum chamber, which exits the heating surface and is divided into two flows, has been studied, one of them transfers heat due to heat conduction through the touch of seeds with a heating surface and between themselves, and the second transfers heat through radiation in the cavities between the seeds. Calculation formulas for these heat fluxes have been developed, through which the formula for calculating the total thermal conductivity coefficient has been determined. This formula shows that the overall thermal conductivity is less than the theoretical value and depends on the equivalent seed diameter and seed characteristics. Conclusions. It has been established that the total thermal conductivity coefficient of seeds is less than the theoretical one due to voids between seeds, in which the heat of less heated layers propagates through radiation. The loss of thermal energy in the voids between the seeds increase the duration of the heating process and depend on the equivalent diameter of the seeds, the degree of blackness and the difference between the initial temperatures of the seeds and the heating surface. Keywords: seeds, contact heating, seed temperature, thermal conductivity, radiation, heat flux, heating surface, equivalent diameter, space between seeds.

АВТОНОМНОЕ ЭНЕРГЕТИЧЕСКОЕ ОБЕСПЕЧЕНИЕ ДОЖДЕВАЛЬНОЙ ТЕХНИКИ ПОСРЕДСТВОМ ИСПОЛЬЗОВАНИЯ МИКРОГИДРОЭЛЕКТРОСТАНЦИИ

Purpose: to assess the potential for the functional implementation of a micro-hydropower station in the design of a sprinkler machine to meet the in-system needs for electrical energy. Materials and methods: the study was carried out on the basis of an example of calculating the installation of a micro-hydropower station by A. G. Chernykh and the formulas presented in the handbook on hydraulics. To construct the multiple regression equation, the inverse matrix solution method was used. The calculation of the economic efficiency of the micro-hydropower station was carried out using the method of technical and economic analysis of possible options for electrification by S. G. Obukhov. Results and discussion: based on the results of the verification energy calculations, the effective power on the hydraulic turbine shaft with average technical parameters of low-pressure sprinkler machines was 1.202–15.648 kW. At the same time, linking the operation of the micro-hydropower plant to the irrigation systems of the North Caucasus territory has the potential to get 2596.32–33799.68 kW of generated electricity per year at a cost of 1 kW·h of 0.6204 rubles. Conclusions: the introduction of a micro-hydropower station in the design of sprinkler equipment will provide the ability to generate electricity within the available hydraulic characteristics. With this in mind, for the operation of hydropower equipment, it is necessary to have or create an additional water pressure. The multiple regression equation obtained on the basis of verification calculations of the parameters of the energy block of a microhydroelectric power plant showed that an increase in the water pressure per 1 m Н2О leads to an increase in effective power by an average of 0.611 kW.

Recycling of municipal solid waste using solar energy

The article proposes a solar installation for thermal processing of municipal solid waste and presents a method of technical and economic analysis of systems for processing municipal solid waste based on solar energy. The object of the research is a solar installation for thermal processing of municipal solid waste. The analysis of the heat balance of the developed solar installation was compiled and carried out, and the energy requirement for thermal processing of municipal solid waste was determined. The work uses the methods of the theory of heat and mass transfer and body balances of heat power and solar installations. The created solar installation for anaerobic fermentation of solid waste to obtain landfill gas and bio fertilizers has been investigated. Balance methods of numerical and experimental studies of anaerobic fermentation of solid waste were used to analyze the results. A calculation has been made showing the energy efficiency of a solar installation for the processing of municipal solid waste using solar energy. Based on the research carried out, it was found that at an average heating temperature of 50-55 °C, 200-250 m3 of landfill gas was obtained from one ton of household waste.

Substantiation of the technological scheme of development of the outstripping overburden bench at quarry field curvilinear contour

The porpoise of the research is to develop technological schemes of overburden rocks extraction on the outstripping overburden bench with a further rational scheme choice in the curvilinear quarry contour conditions. Research methods – theoretical and experimental; graphic-analytical method; method of statistical and system analysis; method of technical and economic analysis for the selection of effective technological schemes for stripping operations. Research results. As a result of the research, possible options for the development of the outstrippingoverburden bench were considered. A comparative technical and economic assessment of possible options for the mining operations progress, taking into account the change in the length of the mining operations front, has been carried out. The selection and justification of the technological scheme for the outstripping overburden bench development with a rotary complex using a KU-800 excavator at the Motronivsky GOK quarry for the period of the mining operations front in the northern part of the quarry field has been performed. Scientific novelty. Possible directions of ensuring the required productivity of stripping operations on the outstripping ledge are proposed. The ratio of the prime cost of overburden development for the studied technological schemes has been established. The choice of a rational technological scheme with the lowest cost of stripping works has been made. Practical value. The performed research allow us to choose a rational scheme for performing stripping mining operations, taking into account the curvilinear contour of the quarry field and ensuring the required performance of stripping operations by ensuring the necessary advancement of the mining operation front on the above-ore and middle stripping benches. The expected technical and economic effect is expressed in a reduction in the overburden development cost due to the use of an efficient mining complex and a technological scheme for the overburden development.