National Repository of Grey Literature 365 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Design and Simulation of Strategies for Market Trading
Horázný, František ; Perešíni, Martin (referee) ; Homoliak, Ivan (advisor)
Cíl této práce je prostudovat svět obchodování. Analyzovat jak se trhy chovají, kdo nebo co se na nich nachází a jaké existují přístupy k obchodování. Strategie obchodování nejen probádat, ale také analyzovat a simulovat jejich chování. Výsledkem by měl být nástroj schopný srovnání naimplementovaných metod a vlastního návrhu autora. Pro řešení byla využita implementace simulačního nástroje v Pythonu, který pracuje s daty staženými z Binance rozhraní. Strategie, které jsou analyzovány a simulovány jsou Lump Sum (LS), Dollar Cost Averaging (DCA) a Rebalancing. Práce představuje také vlastní strategii pojmenovanou Momentum and Overheating Strategy (MOS), která využívá indikátoru relativní síly (RSI) a sezóního chování trhu. Srdcem této metody je skládání několika ohodnocených funkcí tak, aby vznikla synergie. Využívá se nejen RSI, ale také klouzavého průměru, sezónního rozložení a derivace. Výsledkem je empirické a statistické porovnání všech metod a zjištění která z metod je jak moc vhodná a za jakých podmínek. MOS a Rebalancing se ukázaly být přibližně stejně výnosné a ze zkoumaných metod nejlepší. Na závěr jsou uvedeny hypotézy proč je MOS lukrativní a jaké vhodné vylepšení do budoucna by mělo smysl implementovat.
Design and Simulation of Strategies for Market Trading
Horázný, František ; Košťál,, Kristián (referee) ; Homoliak, Ivan (advisor)
Cíl této práce je prostudovat svět obchodování. Analyzovat jak se trhy chovají, kdo nebo co se na nich nachází a jaké existují přístupy k obchodování. Strategie obchodování nejen probádat, ale také analyzovat a simulovat jejich chování. Výsledkem by měl být nástroj schopný srovnání naimplementovaných metod a vlastního návrhu autora. Pro řešení byla využita implementace simulačního nástroje v Pythonu, který pracuje s daty staženými z Binance rozhraní. Strategie, které jsou analyzovány a simulovány jsou Lump Sum (LS), Dollar Cost Averaging (DCA) a Rebalancing. Práce představuje také vlastní strategii pojmenovanou \textit{Momentum and Overheating Strategy} (MOS), která využívá indikátoru relativní síly (RSI). Srdcem této metody je skládání několika ohodnocených funkcí tak, aby vznikla synergie. Využívá se nejen RSI, ale také klouzavého průměru a derivace. Výsledkem je empirické porovnání všech metod a zjištění která z metod je jak moc vhodná a za jakých podmínek. MOS a Rebalancing se ukázaly být přibližně stejně výnosné a ze zkoumaných metod nejlepší
Automatic System for Cryptocurrency Trading
Mráz, Filip ; Rozman, Jaroslav (referee) ; Hříbek, David (advisor)
The thesis focuses on the creation of an automatic trading system (ATS) that is capable of simulating trading on historical stock exchange data and performing automated trading on the account of a selected broker. The system can statistically process and graphically display achieved results. User operates the system via a clear graphical user interface. Individual trading sessions are managed by the system in separate subprocesses. ATS implements 5 trading strategies of varying complexity, which are responsible for managing the trading decisions. Strategies use elements of technical analysis to interpret historical price move- ments, which serve as the basis for making buying and selling decisions. The fifth strategy utilizes a trained XGBoost model for its decision-making. Implemented strategies were tho- roughly tested on historical data, selecting periods with different market moods and price volatilities. Test results did not reveal any consistently profitable strategy, instead defining the strategies as high-risk.
Framework for backtesting of algorithmic trading including the strategy improvement using the evolutionary algorithms.
Kmenta, Martin ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This thesis focuses on the development of an advanced framework for backtesting algorithmic trading strategies, emphasizing the optimization of strategies using evolutionary algorithms. It deals with the analysis and application of technical analysis in the trading context. It also focuses on the design and development of modules for efficient retrieving, processing, visualization, and analysis of various types of market data, allowing users to create and backtest their indicators and trading strategies using a robust framework.
Stock Selection by Techical Analysis
Netušil, Petr ; Polách, Petr (referee) ; Sojka, Zdeněk (advisor)
This bachelor thesis is engaged in stock selection to portfolio with the help of technical analysis. In accordance with this aim the whole thesis is being structured, while at the beginning there are theoretical resources concerning exchange system mentioned, as well as basic methodology of technical analysis. These methods are further transferred into practical examples in the second part. This thesis thus describes possibilities of technical analysis in conditions of capital markets.
Automatic Cryptocurrencies Trading
Vorobiev, Nikolaj ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
This thesis focuses on the trading in the cryptocurrency market. The theoretical part of the thesis describes the principles of trading, technical analysis, trading systems and recurrent neural networks. After conducting a search of brokers, Binance is chosen as a trading broker and real-time data provider; CryptoDataDownload is chosen as a historical data provider. After getting acquainted with the technologies used, elements of information trading systems are designed, enabling communication with remote servers and with each other, for the purpose of trading, obtaining and concurrent processing of user's, historical or real-time data. The resulting systems should provide to the user manual, semi-automatic (according to the plan) or automatic (according to the decisions of recurrent neural network, learned on historical data) trading and ability to respond to a change in the market. Furthermore, the thesis moves to the practical level, including implementation and experiments on created systems. In the final part of the thesis, the results are evaluated and the possibilities for improvement and expansion are described.
The Use of SVM in Environment of Financial Markets
Štechr, Vladislav ; Prochocká, Kristína (referee) ; Budík, Jan (advisor)
This thesis deals with use of regression or classification based on support vector machines from machine learning field. SVMs predict values that are used for decisions of automatic trading system. Regression and classification are evaluated for their usability for decision making. Strategy is being then optimized, tested and evaluated on foreign exchange market Forex historic data set. Results are promising. Strategy could be used in combination with other strategy that would confirm decisions for entering and exiting trades.
Design and Optimalization of Trading System Based on the Principles of Triple Screen
Kudláček, David ; Stoklásek, Libor (referee) ; Budík, Jan (advisor)
This diploma thesis deals with the Triple Screen trading system in the theoretical and practical level. As part of the work semiautomatic trading system, which focuses on trading with corn is designed. Previously, there are discussed theoretical assumptions necessary for the successful implementation of the trading system. There is explained and described deal with corn and principles and possibilities nowadays. The practical part includes the creation of custom application in Matlab development environment and scripting language. Using this application is simulated trading corn with selected trend indicators and oscillators. Using historical data there is found the best combination of indicators and it is subsequently applied on the following dates.
Investments into Securities Investment Funds Registered in Great Britain
Štrkolec, Michal ; Vaková, Naďa (referee) ; Rejnuš, Oldřich (advisor)
The bachelor’s thesis concentrates on technical analysis of chosen investment funds registered in Great Britain. The first part describes the legislative requirements of the qualified investors’ funds and the composition of investment portfolio principles. The second part details the proposed fund and analyzes chosen investment funds. The third part of the thesis contains the design of the investment portfolio of the built fund.
Optimization of Investment Strategy Using Genetic Algorithms
Novák, Tomáš ; Brázdil, Jiří (referee) ; Budík, Jan (advisor)
This thesis is focused on the design and optimization of automated trading system, which will be traded in FOREX. The aim is to create a business strategy that is relatively safe, stable and profitable. Optimization and testing on historical data are a prerequisite for the deployment into real trading.

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