Marek Zatwarnicki Algorithms

Our Mission

Tailor-Made Testing of Trading and Investment Strategies

We offer comprehensive backtesting of historical strategy performance, utilizing advanced methodologies, including our proprietary rolling strategy-hold window approach, as well as widely recognized evaluation techniques implemented in VBA, Python, and TradingView. Each strategy is assessed through a standardized PDF analysis, detailing its strengths and weaknesses, identifying periods of highest and lowest effectiveness, and providing qualitative insights supported by visual charts. Additionally, we offer the option to purchase full rights to the code, along with recommendations for strategy improvements. For those seeking further refinement, we also provide the possibility to implement optimizations and enhancements tailored to specific needs.

Collaboration in Indicator Development

We offer private individuals and institutions the opportunity to commission the development of a custom indicator, enabling them to share their concept with the world while retaining the option to purchase full rights to the code. Additionally, we provide the possibility to publish indicators on our TradingView profile as co-authors, with terms tailored to individual agreements. For those interested in academic research, we also welcome collaborations on scientific publications, offering co-authorship opportunities for indicators that contribute to the advancement of quantitative analysis and trading strategy development.

Publication Collaboration and Sponsorship

We invite researchers and institutions to collaborate with us on scientific publications related to trading and investment strategies. Our partnership models are flexible and can include co-authorship, article sponsorship, or data sponsorship. As co-authors, we contribute our expertise in quantitative analysis, strategy evaluation, and market research. As sponsors, our partners support our research initiatives by covering publication costs or providing access to high-quality proprietary datasets essential for robust empirical studies. Our goal is to foster innovative, data-driven research that enhances the understanding of financial markets and algorithmic trading.

Education Opportunity for Collaboration in Indicator Development

We recognize the importance of educating users in the field of strategy testing and trading-related software development. That is why, in the first half of 2025, we plan to release free courses on YouTube covering the fundamentals of VBA and Pine Script, as well as more advanced programs focused on creating sophisticated market simulation tools.

Additionally, we offer the possibility of individual or institutional training, providing in-depth guidance on how to effectively research and analyze trading strategies. These tailored sessions ensure a comprehensive understanding of methodologies, evaluation techniques, and practical applications for both individuals and organizations.

B.Sc. in Computer Science and Econometrics
Independent Cryptocurrency Market Researcher & Analyst

Marek Zatwarnicki

B.Sc. in Computer Science and Econometrics and a Master’s student in Computer Science and Econometrics at the University of Economics in Poznań. His passion lies in conducting quantitative research on the cryptocurrency market, testing and confronting widely used methods, and publishing scientific papers featuring innovative solutions and enhancements to existing approaches for evaluating the effectiveness of trading and investment strategies. A systems analyst and programmer at Franklin Templeton, with experience in financial process automation. His hobbies include numismatics, bicycle tourism, and book writing.

Responsible for developing innovative methods, conducting research, writing articles, and testing the effectiveness of existing solutions.

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PhD DSc Eng. Associate Professor
Independent Cryptocurrency Market Researcher & Analyst

Krzysztof Zatwarnicki

Dr. hab. inż. Krzysztof Zatwarnicki is a distinguished university professor at the Opole University of Technology, where he leads the Department of Computer Science. Throughout his academic career, Professor Zatwarnicki has contributed significantly to the field of computer science, with numerous publications on general collective intelligence, load distribution in web systems, cybersecurity, cloud computing systems and technical analysis. Co-founder of Venatu, a company specializing in the automation of business processes. His interests include mountain tourism and astrophotography.

Krzysztof Zatwarnicki is responsible for advising on applied methodologies, designing innovative solutions, and overseeing quality control, ensuring the effectiveness and precision of implemented systems.

LinkedIn ResearchGate

Our Mission and Vision

OUR SCIENTIFIC WORK

Our goal is to empower market participants with data-driven insights to make informed investment decisions. To achieve this, we conduct in-depth market research, develop innovative evaluation methods for investment strategies, and publish scientific articles. We believe that our work contributes to a more credible and transparent financial ecosystem, where data-backed decision-making becomes the standard. We are committed to fostering a deeper understanding of financial markets by bridging the gap between academic research and practical application.

Our 2025 Vision
In 2025, we set an ambitious goal: to publish 10 research articles in top-tier journals, focusing on the most widely used investment strategies,
emerging data sources (including on-chain analytics) and proprietary indicators designed to assess trading strategies in a simpler yet more comprehensive manner. We strive to enhance the analytical tools available to traders and investors, ensuring that financial strategies are evaluated with rigor and clarity.

Our Publication
Below, you will find a link to our first publication, which explores the effectiveness of the RSI indicator in cryptocurrency markets.

MDPI Website - Read Article

Our Indicators and Courses

TradingView

We believe that sharing the solutions we develop is essential. Therefore, all indicators created for our research articles will be made available on TradingView, with the option for users to request access to the source code upon inquiry. We also provide the possibility to publish user-created indicators on our TradingView profile or develop custom indicators for private or public use, with full rights to the code transferred to the client. In 2025, we plan to release 25 free trading algorithms and indicators, making advanced tools more accessible to traders and analysts. Updates on publication schedules will be announced on X.

Education & Courses
We recognize the importance of educating users in the field of strategy testing and trading-related software development. That is why, in the first half of 2025, we plan to release free courses on YouTube covering the fundamentals of VBA and Pine Script, as well as more advanced programs focused on creating sophisticated market simulation tools.

Twitter TradingView

B.Sc. in Computer Science and Econometrics
Independent Cryptocurrency Market Researcher & Analyst