The BOS team at our Braga location provides world-class backtesting and optimization services for algorithmic trading, ensuring responsiveness and reliability in financial data analytics.

Our Backtesting and Optimization Services (BOS) team specializes in algorithmic trading strategy evaluation and iterative optimization tailored to specific performance goals, ensuring clients achieve the robust results they anticipate.






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.

Advance Your Trading Strategies

By choosing our services, clients ensure they are backed by in-depth analyses, precision-focused optimizations, and cutting-edge technologies.

1

Comprehensive Analysis

Utilizing state-of-the-art tools, we provide excellent insights into your trading strategies.
2

Expert Support

Our team of professionals is dedicated to understanding and improving your investment models.
3

Data Integrity Assured

We employ inviolable processes to ensure optimal and error-free results.
Maximizing Algorithmic Trading Efficacy

Explore our insights to learn how backtesting and optimization can empower your trading models.

What is the primary benefit of algorithmic backlog evaluations?

By understanding historical simulations, clients forecast future trends more reliably.

How does your service ensure data accuracy?

Robust, verified data sets are the backbone of all strategy evaluations performed.

OUR APPROACH

Your Partner in Financial Logic.

Understanding the nuances of financial trading strategies, our approach ensures contextual accuracy and innovative insight.

Adaptive Algorithm Design

Incorporating predictive modeling, we tailor solutions to meet bespoke investment needs.

Strategic Backtesting Processes

We adhere to comprehensive testing benchmarks that simulate realistic trading activities.

Trusted by many

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Testimonials

Discover Why Our Clients Love Us

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Kawlodev transformed our digital strategy. Their innovative approach and exceptional service have propelled our business forward.
Amanda Clark
CEO, Jento Solutions Inc
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Working with Kawlodev revolutionized our mobile development. Their technical expertise and creative solutions truly brought our vision to life.
Michael Thompson
CTO, Kawlo Mobile App
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The collaboration with Kawlodev was seamless and inspiring. Their commitment to quality and efficiency has significantly boosted our projects.
Sophia Lee
Senior Developer, Pren
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Kawlodev's technical prowess and innovative mindset have been crucial in enhancing our product development. We are delighted with the results.
David Mark
Product Manager, CMR
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Our partnership with Kawlodev redefined our digital transformation. Their agile approach and expert guidance have been absolutely game-changing.
Emily Rodriguez
Chief Strategy Officer, WealthConsulting


Learn More

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.