Discover the premier provider of Backtesting and Optimization Services in Ljubljana, Slovenia. Enhance your trading strategies with our professional support.
Our Backtesting and Optimization Services specialize in improving algorithmic trading systems. Using state-of-the-art tools and methodologies, we analyze historical data to validate and optimize your trading strategies, ensuring peak performance in live market conditions. Based in Ljubljana, Slovenia, we offer bespoke solutions tailored to meet the unique requirements of our clients, empowering them to achieve superior trading outcomes.
30+
Projects Delivered
We have successfully developed over 30 custom algorithmic trading solutions.
50%
Productivity Increase
Our automated trading strategies have improved traders’ efficiency by 50%.
20x
Return on Investment
Clients often see up to 20x ROI when leveraging our data-driven trading algorithms.
80%
Client Retention
We maintain an 80% client retention rate through ongoing support and performance enhancements.
Why Choose Our Services?
With a focus on precision, customization, and data-driven insights, we are your trusted partner for achieving optimized trading strategies.
Expert Techniques
Tailored Solutions
Dedicated Support
Explore answers to common inquiries regarding our Backtesting and Optimization Services.
Backtesting evaluates the potential profitability of a trading strategy by testing it against historical market data.
Optimization helps fine-tune a trading strategy to perform optimally under specific market conditions.
The duration varies depending on the complexity of the strategy and market data, but we provide a clear timeline upon assessment.
OUR APPROACH
Our Specialized Approach
We dedicate ourselves to empowering your trading systems by combining rigorous data analysis with innovative optimization algorithms, ensuring top-tier performance.
Data-Driven Analysis
We utilize exceptional data sets for comprehensive backtesting and analysis.
Advanced Algorithms
Our approach integrates the latest algorithmic solutions to maximize efficiency and accuracy.
Client-Centric Collaboration
We prioritize your input and preferences through open communication at every project stage.
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Testimonials
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How to Get Started with Algorithmic Trading
Are you looking to automate your trading strategies and maximize market opportunities? Algorithmic trading allows you to use data-driven strategies to execute trades faster and more efficiently. With automated decision-making, you can eliminate emotional trading and improve the consistency of your performance. This guide covers the key benefits, added value, and delivery process involved in setting up and running an algorithmic trading system.
Benefits
Increased Speed and Efficiency: Algorithms can execute trades in milliseconds, which is impossible for a human trader.
Better Decision-Making: Algorithms are data-driven and based on historical patterns and market trends. They can eliminate emotional trading and execute only high-probability trades.
Consistent Performance: Trading algorithms can operate 24/7, ensuring continuous monitoring of market conditions and automatic execution of strategies without manual intervention.
Reduced Risk: Algorithms can incorporate automatic stop-losses and profit targets, thereby minimizing risk exposure.
Added Value
Data-Driven Insights: Algorithms analyze large volumes of data in real time, providing insights that human traders may miss.
Scalability: Trading algorithms can handle thousands of trades simultaneously across different markets, increasing profitability.
Backtesting and Optimization: Traders can test algorithms using historical data, allowing them to fine-tune strategies before going live.
Reduced Costs: Automated systems reduce the need for human intervention, leading to lower labor costs and improved efficiency.
Delivery Process and Time
Initial Consultation: 1–2 days – Understanding trading goals and market focus.
Strategy Development: 1–2 weeks – Developing the trading algorithm based on historical data and market conditions.
Backtesting and Optimization: 2–3 weeks – Testing the algorithm against historical data and optimizing performance.
Implementation and Deployment: 1 week – Deploying the algorithm in a live trading environment.
Monitoring and Maintenance: Ongoing – Monitoring performance and making adjustments as needed.