Years of expertise
Happy clients
Days customer support
Quantamental models
Who we are
My Research Book (MRB), a division of GROEN RESEARCH SOLUTIONS LLP, pioneers in advanced quantitative investment research. We blend human intelligence with AI and machine learning to deliver superior insights and strategies, transforming investment management with innovation and precision.
Pioneering Quant
At MRB, we merge disciplined quantitative research with sophisticated algorithms and deep market insights. Our rigorous process includes factor creation, data analysis, and model refinement, prioritizing risk management and continuous improvement to deliver exceptional, reliable results for our clients.
Our Vision
At MRB, we aim to democratize top-tier research and lucrative opportunities for all investors, regardless of investment size. Leveraging AI, machine learning, and market expertise, we provide accessible, high-quality insights and strategies, empowering informed investment decisions for a prosperous financial community.
What do we do:
At MRB, we believe the key to successful trading and investing lies in the rigorous application of logical principles. We construct hypothesis based on financial market data and continuously test and refine them to ensure reliability. Our trades are founded on robust, evidence-backed theories. Our mission is to leverage data-driven insights to navigate and decode the complexities of the investment world, ensuring well- informed and strategic decisions for our clients.
Research Foundation:
Our research foundation is built on the use of robust models, logical features, and efficient modeling techniques. We leverage sophisticated quantitative methods to develop models that are both powerful and reliable. By identifying and integrating logical features, we ensure that our models are grounded in sound financial principles. Our commitment to efficiency allows us to quickly and accurately process data, providing actionable insights that drive superior investment performance. Core to our foundation is the integration of advanced computing power, mathematics, and statistics. These elements enable us to handle complex data sets, perform intricate calculations, and apply rigorous statistical analysis, making our models both efficient and effective.
Priorities
Our Priority
At My Research Book, we prioritize risk management to safeguard our client’s investments and ensure long-term performance stability. We are committed to maximizing risk-averse returns by employing stringent risk controls and robust strategies. Our approach involves continuous monitoring, comprehensive stress testing, and proactive adjustments to ensure your investments are protected against potential losses. By prioritizing risk management, we aim to provide stable and consistent performance, safeguarding your capital while pursuing optimal returns.
Risk Management: Effective risk management is at the core of our investment philosophy. Our risk management framework is multi-faceted and operates at various levels:
- Trade Level: We implement stringent controls at the trade level to manage entry and exit points, ensuring that each trade adheres to predefined risk parameters. This includes setting stop-loss limits and position sizing to minimize potential losses.
- Strategy Level: At the strategy level, we employ diversification and hedging techniques to mitigate risk. By spreading investments across different asset classes, sectors, and geographies, we reduce the impact of any single adverse event on the overall portfolio.
- Quantitative Models: Our quantitative models incorporate risk factors into their algorithms, allowing for real-time risk assessment and management. These models are regularly updated and refined based on the latest market data and risk indicators.
- Compliance and Governance: We adhere to strict compliance and governance standards, ensuring that all risk management practices meet regulatory requirements and industry best practices. This commitment to transparency and accountability enhances the trust and confidence of our clients.
By integrating these comprehensive risk management practices, we strive to protect our clients' capital and achieve sustainable, long-term investment success.
Our Methodology
At My Research Book, our methodology is designed to leverage advanced quantitative techniques to maximize investment performance. Our process includes.
At My Research Book, factor creation is a cornerstone of our research-driven investment strategies. We develop meaningful factors that underpin our quantitative models by employing advanced calculus. The process begins with identifying key financial and economic variables that affect market behavior. We craft factors that accurately reflect market patterns and dynamics through detailed mathematical analysis. Our methodology is rooted in solid theoretical principles, ensuring each factor is founded on robust theories. We utilize advanced statistical techniques and machine learning algorithms to fine-tune these factors, continuously testing and validating them against historical data to ensure their predictive accuracy and reliability. This thorough approach allows us to reveal nuanced insights and relationships within the data that might be missed by traditional methods. By integrating these well-defined factors into our investment strategies, we build innovative and dependable models. This guarantees our clients benefit from cutting-edge research and precise investment recommendations. Our dedication to excellence in factor creation mirrors our broader mission to push the boundaries of Quantitative Research and deliver exceptional results in the ever-evolving financial markets.
At My Research Book, factor processing and engineering are crucial steps in our quantitative research methodology. Once we have developed meaningful factors, we refine them through scaling and optimization techniques to ensure they are primed for effective use in our models. This process involves transforming raw factors into actionable inputs, enhancing their predictive power and stability. Our team employs advanced statistical methods and machine learning algorithms to meticulously process each factor. We standardize and normalize the data to eliminate biases and inconsistencies, ensuring a uniform scale across all factors. Optimization techniques are then applied to fine-tune the factors, maximizing their relevance and effectiveness in capturing market dynamics. We continuously back-test and validate these factors against historical data to assess their performance and robustness. This iterative process of refinement allows us to identify and retain the most predictive elements, while discarding noise and less relevant components. By transforming raw factors into stable and actionable inputs, we enhance the overall quality and accuracy of our predictive models. This rigorous factor processing and engineering ensure that our investment strategies are based on the most reliable and insightful data, ultimately delivering superior results for our clients.
At MRB, predictive modeling is a critical component of our quantitative research framework. Our models leverage the meticulously engineered factors to forecast market trends and identify lucrative investment opportunities. By applying sophisticated machine learning algorithms, we generate reliable predictions that guide our investment decisions. Our predictive modeling process begins with selecting the most relevant and powerful factors that have been refined through our rigorous factor processing and engineering techniques. These factors serve as the inputs for our models, providing a robust foundation for accurate predictions. We employ a variety of advanced ML algorithms, such as regression analysis, decision trees, and neural networks, to uncover complex patterns and relationships within the data. We use historical market data to test our models, ensuring they can effectively capture past market behavior and predict future trends. Our predictive models are designed to be adaptive, continuously learning from new data and evolving market conditions. This dynamic approach ensures that our investment strategies remain relevant and effective in an ever-changing financial landscape. By generating reliable and actionable predictions, our models empower us to make informed investment decisions that maximize returns and minimize risks for our clients.
At My Research Book, back-testing is a crucial step in validating our quantitative models. We simulate historical market conditions to evaluate the performance and reliability of our investment strategies. By applying our models to past market data, we assess their effectiveness in predicting trends and identifying profitable opportunities. We begin with selecting relevant historical data that covers various market conditions, ensuring comprehensive testing. Our predictive models are then applied to this data, generating simulated investment decisions and outcomes. Key performance metrics, such as return on investment and risk-adjusted returns, are evaluated to determine the models' effectiveness. Any discrepancies or underperformance are analyzed, and adjustments are made to improve predictive accuracy and robustness. This iterative process of testing and refinement ensures our models are well-calibrated to handle real-world market dynamics. Continuous back-testing helps us identify and mitigate potential risks, enhancing the reliability of our strategies. This rigorous validation process ensures our investment strategies are both theoretically sound and practically effective. Our commitment to back-testing reflects our dedication to excellence and precision in quantitative research, driving superior outcomes for our clients.
Services
Check our Services
At My Research Book, we provide a range of specialized research services to meet diverse investment needs:
Long-Only Multicap
The Multicap Strategy selects top-performing stocks across sectors and capitalizations, aiming to outperform the broader market by leveraging growth opportunities for a dynamic, comprehensive investment approach.
Quarterly - ₹25,000
Half Yearly - ₹40,000
*All inclusive of GST
Thematic Ideas
This product identifies and analyzes emerging market themes and trends, offering innovative investment ideas that capitalize on significant macroeconomic and industry shifts, enabling investors to stay ahead of the curve with data-driven and actionable insights.
Quarterly - ₹30,000
Half Yearly - ₹50,000
*All inclusive of GST
Quant Long-Short
Designed to capitalize on market fluctuations, this product generates a mix of strong and weak investment ideas for both short and medium-term horizons. This strategy aims to optimize returns by taking advantage of both rising and falling markets.
Quarterly - ₹35,000
Half Yearly - ₹60,000
*All inclusive of GST
The Core
The Core strategy focuses on long-term growth, maximizing capital appreciation through selective stock picking, continuous tracking of quarterly company performance, and adapting to evolving market conditions to optimize portfolio returns.
Quarterly - ₹50,000
Half Yearly - ₹90,000
*All inclusive of GST
Jobs
Check our Jobs
At My Research Book, we are committed to fostering an inclusive, collaborative, and equal-opportunity workplace. We believe in the value of hard work, but we also understand the importance of celebrating milestones—whether they are successes or lessons learned from failure. Our culture embraces growth, resilience, and teamwork, and we ensure that every achievement is recognized, and every setback is seen as an opportunity for growth.
Status: Active
Level: Associate
Location: HSR Layout, Bengaluru
Job Type: Full-Time
Experience: 2+ Years
About the role:
We are an innovative research firm at the forefront of Quantitative finance. We’re seeking a skilled Android & iOS App Developer to join our growing team. You will be responsible for designing, developing, and maintaining high-performance mobile applications that deliver exceptional user experiences across platforms.
Key Responsibilities:
- Develop and maintain Android & iOS mobile applications.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the performance, quality, and responsiveness of applications.
- Identify and fix bugs, and optimize applications for maximum speed and scalability.
- Continuously discover, evaluate, and implement new technologies.
Requirements:
- Proficiency in Kotlin, Java for Android, and Swift, Objective-C for iOS.
- Experience with RESTful APIs and integrating third-party services.
- Strong understanding of UI/UX principles for mobile apps.
- Experience with app deployment in Google Play Store and Apple App Store.
- Familiarity with version control systems (e.g., Git).
Status: Active
Level: Associate
Location: HSR Layout, Bengaluru
Job Type: Full-Time
Experience: 2+ Years
About the role:
We are seeking a talented Quantitative Researcher to join our dynamic team. You will work on cutting-edge research, developing quantitative models, and providing key insights that drive investment strategies, product development, and data-driven decision-making processes.
Key Responsibilities:
- Conduct quantitative research and data analysis to solve complex problems.
- Develop, implement, and backtest statistical models and algorithms.
- Analyze large datasets using advanced statistical techniques.
- Work closely with developers to integrate models into production systems.
- Stay updated with the latest quantitative finance and machine learning trends.
Requirements:
- Strong knowledge of statistics, mathematics, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or Matlab.
- Experience with data analysis, model development, and statistical tools.
- Familiarity with financial markets and investment strategies is a plus.
- Ability to handle large datasets and work in a fast-paced environment.
Status: Inactive
Level: Intern
Location: HSR Layout, Bengaluru
Job Type: Full-Time
Experience: 6 Months
About the role:
We’re offering a 6-month paid internship for an enthusiastic and motivated Quantitative Research Intern. This is a unique opportunity to work alongside seasoned professionals, gaining hands-on experience in quantitative research and data analysis in a fast-paced and innovative environment.
Key Responsibilities:
- Assist in the development and implementation of quantitative models.
- Conduct research and analyze datasets to support key projects.
- Collaborate with the Quantitative Research team on backtesting and validating strategies.
- Present findings and insights to senior team members.
Requirements:
- Currently pursuing or recently completed a degree in Mathematics, Statistics, Finance, or related fields.
- Proficiency in Python or R.
- Strong analytical and problem-solving skills.
- Basic knowledge of financial markets is a plus.
How to Apply: Send your resume and a brief cover letter to info@myresearchbook.com with the subject line {Job Title}
Contact
Contact Us
Principal place of Business
B-806, S V Heights, Hosakote, Bengaluru - 560067, Karnataka
Email Us
Open Hours
Monday - Friday 9:00AM - 05:00PM