Providing top-tier Backtesting and Optimization Services, helping clients analyze, validate, and enhance their trading strategies.

Our Backtesting and Optimization Services in Trondheim, Norway are designed to equip investors and traders with cutting-edge tools and strategies to analyze and refine their financial models efficiently. Our team employs comprehensive methodologies to ensure reliable and insightful 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.

Enhancing Trading Strategies with Expertise

Choosing our services means benefiting from our proven track record and innovative approach to backtesting.

1

Comprehensive Analysis

Utilizing advanced algorithms for in-depth analysis.
2

Expert Team

A dedicated team with extensive experience in financial modeling.
3

Localized Expertise

Situated in Trondheim, Norway, offering tailored local insights.
Service FAQs

Answers to common queries regarding our Backtesting and Optimization Services.

What is included in the service?

Comprehensive backtesting, optimization, and strategy validation services.

How long does the process take?

Duration varies based on model complexity but averages two weeks.

Can it be customized?

Yes, solutions are tailored to individual client needs.

OUR APPROACH

Our Refined Approach

With a focus on detail, we combine technology and domain expertise to provide precise backtesting and optimization.

Innovative Techniques

Employing the latest technologies in algorithmic backtesting.

Customizable Solutions

Tailoring services to meet specific client requirements.

Reliable Outputs

Ensuring each model is rigorously tested for applicability.

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.