Elite Backtesting and Optimization Solutions to Amplify Your Trading Efficiency. Your partner in algorithmic precision, based in Tallinn, Estonia.
At our Backtesting and Optimization Services company located in Tallinn, Estonia, we provide cutting-edge solutions to enhance your algorithmic trading strategies. Our team combines advanced analytical tools with in-depth market insights to deliver unparalleled results.
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?
We are committed to your success through comprehensive and tailored backtesting and optimization services.
Experts in Algorithmic Trading
Cutting-Edge Analytical Tools
Customized Optimization Solutions
Explore our answers to common queries about our backtesting and optimization services.
Backtesting involves evaluating the performance of a trading strategy using historical market data to determine its effectiveness.
Optimization refines a trading strategy to improve its performance under specific market conditions and criteria.
We provide services for a wide range of markets, including equities, forex, commodities, and cryptocurrencies.
We prioritize data privacy by adopting strict compliance measures and secure data handling practices.
Absolutely, our services are tailored entirely to each client's unique trading strategies and goals.
OUR APPROACH
Our Service Approach
We thoroughly analyze our clients' requirements to deliver precisely tailored backtesting and optimization services. From fine-tuning trading algorithms to backtesting their execution, we ensure reliability and accuracy.
Client-Centric Engagement
We prioritize understanding your unique requirements and goals before commencing any analysis.
Advanced Data Analysis
Employing sophisticated techniques and technologies for precise market simulation.
Commitment to Quality
Ensuring each step of the process adheres to the highest industry standards.
Trusted by many





Testimonials
Discover Why Our Clients Love Us
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.