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Automated trading systems
Šafář, Vítězslav ; Hříbek, David (referee) ; Rozman, Jaroslav (advisor)
Trading in the financial market is something almost everyone has heard of these days, but automated trading is still a novelty for most. The aim of this bachelor's thesis is to design and create several automatic trading systems using the application programming interface provided by XTB, and subsequently evaluate these automated trading systems using historical data. The thesis presents four differently complex automated trading systems, achieving various profits at certain risk levels. Furthermore, the thesis demonstrates the usability of the mentioned XTB application programming interface. The best-designed system evaluated was the one utilizing the MACD indicator,which achieved an average annual return of around 13.5 % with a level of risk of loss, approximately 39 %.
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Developing of Trading Strategy for Currency Market
Sauer, Václav ; Petrovský, Jonáš (referee) ; Budík, Jan (advisor)
This thesis deals with the design, implementation and optimization of the automated trading system for the foreign exchange market. Thesis analyses theoretical aspects for the system implementation, including introduction of foreign exchange market, types of market analysis, money management, risk management and technical indicators. The thesis further describes, what is required for development of such system and what important parts the system must contain. The work also describes how the system can be tested and optimised based on historical data.
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Usage of Public Business Information for Automatic Trading
Gráca, Martin ; Plchot, Oldřich (referee) ; Černocký, Jan (advisor)
In the era of modern technology and high performance computers, the classical trades model getting insufficient. For successful trading, generating stable profit, it is good to use modern technologies and opportunities. The main goal of this work is to develop a trading system based on modern technologies. This work uses public business data from Edgar database managed by U.S. Securities and Exchange Commission (SEC), historical share´s prices and recurrent neural network to create such model. The final system is able to trade successfully and generate profit.
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Application of technical analysis on algorithmic trading
Šíla, Jan ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
The thesis takes on the question of profitability of algorithmic trading based on trend and momentum indicators and examines whether or not it is possible to acquire systematic profits. It reviews the development of relevant literature over the last 100 years to determine whether the inner workings of the market can be quantified and plausibly modelled. On three major U.S. stock indices are then tested several different strategies to determine whether in the long- term, passive investment can be outperformed by active trading. Merit of the work lies in backtesting several strategies and interpreting the results according to unique characteristics of the indices.
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Application of technical analysis on algorithmic trading
Šíla, Jan ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
The thesis takes on the question of profitability of algorithmic trading based on trend and momentum indicators and examines whether or not it is possible to acquire systematic profits. It reviews the development of relevant literature over the last 100 years to determine whether the inner workings of the market can be quantified and plausibly modelled. On three major U.S. stock indices are then tested several different strategies to determine whether in the long- term, passive investment can be outperformed by active trading. Merit of the work lies in backtesting several strategies and interpreting the results according to unique characteristics of the indices.
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Developing of Trading Strategy for Currency Market
Sauer, Václav ; Petrovský, Jonáš (referee) ; Budík, Jan (advisor)
This thesis deals with the design, implementation and optimization of the automated trading system for the foreign exchange market. Thesis analyses theoretical aspects for the system implementation, including introduction of foreign exchange market, types of market analysis, money management, risk management and technical indicators. The thesis further describes, what is required for development of such system and what important parts the system must contain. The work also describes how the system can be tested and optimised based on historical data.
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Usage of Public Business Information for Automatic Trading
Gráca, Martin ; Plchot, Oldřich (referee) ; Černocký, Jan (advisor)
In the era of modern technology and high performance computers, the classical trades model getting insufficient. For successful trading, generating stable profit, it is good to use modern technologies and opportunities. The main goal of this work is to develop a trading system based on modern technologies. This work uses public business data from Edgar database managed by U.S. Securities and Exchange Commission (SEC), historical share´s prices and recurrent neural network to create such model. The final system is able to trade successfully and generate profit.
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