Quantfish is a financial technology company with an all-encompassing passion for software development and data analysis. We use only the latest technologies and techniques to create innovative solutions that drive our success. We are at the forefront of the fintech industry, constantly exploring new ways to use software, data and automation to improve our investment models and trading strategies.
If you’re interested in collaborating with us or learning more about what we do, please don’t hesitate to contact us.
At Quantfish, we are passionate about building innovative and reliable software solutions. We are experienced developers who are dedicated to staying up-to-date on the latest technologies, and we are able to deliver high-quality custom software solutions for a wide range of industries.
But it’s not just about the technical skills for us – we are completely consumed about the art of programming itself. We love the challenge of tackling complex problems and finding creative solutions through code. We are constantly learning and staying up-to-date on the latest development trends and techniques, because we believe that this is what sets us apart and allows us to deliver the best possible software.
Big data is becoming increasingly important in today’s data-driven world. It refers to large and complex data sets that are too big and too complex to be processed using traditional data processing tools. At Quantfish, we have the tools and knowledge to handle big data and extract valuable insights from it. But what is data science, exactly?
Simply put, it is the study of using data to extract insights and make informed decisions. It involves using statistical analysis, machine learning, and data visualization to turn raw data into actionable insights that drive business success. We pride ourselves on our ability to deliver accurate, reliable, and actionable data insights that drive real results.
Machine Learning is a type of artificial intelligence that allows computers to learn and improve their performance without being explicitly programmed. Machine learning can be used in trading to analyze market data, identify patterns, and make predictions about future market movements.
For example, a machine learning model could be trained on historical market data to identify patterns that are indicative of future price movements. The model could then be used to make automatic trading decisions or to generate trading signals for humans to follow.
Quantitative analysis is the use of mathematical and statistical techniques to analyze data and make informed decisions. It involves collecting, processing, and analyzing data to uncover patterns and trends that can inform business strategy and decision-making. Quantitative analysis is widely used in algorithmic trading, which is the use of computer algorithms to execute trades automatically based on pre-defined rules.
In algorithmic trading, quantitative analysts design and implement trading strategies using various mathematical and statistical techniques.