HedgeTech stands as a transformative project, offering a comprehensive platform for derivatives trading, encompassing options and futures within both stock and commodity markets. This dynamic system is structured around three core components: Data, Hybrid Strategies, and Portfolio Accounting.

The Data Component:
At the heart of HedgeTech is the Data Component, which diligently gathers real-time market data from a vast network of over 4,000 trading boards within the Iranian stock market. This extensive data repository provides a wealth of crucial information, including order books, asset prices, trading volumes, and the current value on each trading board.

The Hybrid Strategies Component:
Leveraging this real-time market data, the Hybrid Strategies Component generates a myriad of potential outcomes for each hybrid strategy, empowering users with a comprehensive understanding of their strategy's performance through a rich assortment of statistical insights. With more than 40 pre-constructed strategies at your disposal, this dynamic module also facilitates the swift integration of innovative strategies, tailored precisely to your needs.

The Portfolio Accounting Component:
The Portfolio Accounting Component utilizes data from the Data Component to meticulously calculate risk exposure for each account within the system's purview. This serves as a protective barrier, ensuring trading accounts remain within predefined risk thresholds.
HedgeTech has been meticulously crafted to provide users with an all-in-one solution, equipping them for success in the derivatives trading landscape. It's akin to an octopus's body, where each arm operates autonomously, yet all collaborate seamlessly.

HedgeTech boasts a range of features essential for derivatives traders:

I - Real-time market data aggregation from over 4,000 trading boards in the Iranian stock market.
II - A diverse array of data, encompassing order books, asset prices, trading volumes, and asset values.
III - A versatile arsenal of over 40 pre-established hybrid strategies.
IV - The flexibility to swiftly incorporate innovative strategies tailored to your specific needs.
V - Robust risk exposure calculations for each account under the system's purview.

Additional Details:
The platform is designed to be scalable and adaptable, catering to the needs of a diverse user base, all while maintaining rigorous security and compliance with regulatory requirements.
Although the platform is still under development, it has already found success among numerous traders. The development team remains dedicated to continual improvement, ensuring the addition of new features and functionality.
1 - Increased efficiency and productivity.
2 - Enhanced decision-making capabilities.
3 - Reduced risk exposure.
4 - Increased profitability.

Conclusion:
HedgeTech is an invaluable tool for derivatives traders seeking a comprehensive and integrated solution. It offers a wide range of features and benefits to enhance trading performance and achieve their goals.

A platform for helping the fund managers with traders’ analysing, finding the trading bias of market winners and losers, and providing an all-inclusive report for the investors and DFO fund.

DFO Platform provides a comprehensive list (more than 100 features) for traders and asset managers and enables them to automatically analyse the traders’ performance and trading behaviors.
Besides the full-scale traders report, the platform provides an award-winning behavioral analytics service based on the nudge theory.
The platform using data analytics, machine learning, and statistical scoring furnishes a powerful feedback loop for active investment decisions. The result has continuous improvement, greater process discipline, and proven gains in investment performance.

DFO’s investable attributes run historical trade and behavioral data through the industry-leading analytics engine. The proprietary algorithms use machine learning to detect behavioral patterns the good ones that contribute to alpha, and the poor ones that destroy it.

Investable attributes are useful financial and mathematical factors in order to assess the quality of a trader’s strategy The DFO team designed one of the best investable attributes packages in the world.

Many researchers and companies tried to build comprehensive investable attribute packages to optimize trading strategy assessment methodology.

Traders use these insights to formulate actions and process enhancements going forward.

This innovative approach overcomes the limitations of classic Markowitz portfolio models, making it capable of preserving both average returns and standard deviation of portfolio output concerning future market data.

The Problem with Classic Models:
Wealtha successfully addresses the shortcomings of traditional portfolio management models. It provides solutions to issues found in clustering models in machine learning, such as HRP (Hierarchical Risk Parity) and NCO (Nested Cluster Optimization), by introducing a novel heuristic method for identifying optimal clusters. This innovative clustering approach utilizes a density-based measurement of shared information volume between clusters, which not only identifies the optimal number of clusters but also overcomes the challenges associated with determining the correct number of clusters, as seen in the models proposed by Mr. Deparado.

Beyond Correlation Matrices:
Unlike most traditional portfolio models that rely on correlation matrices, Wealtha utilizes a proximity matrix known as "matchul information" to achieve a more precise identification of common information among assets. This approach enhances the diversification and risk management aspects of the portfolio.

Optimizing Various Risk Metrics:
Wealtha takes portfolio optimization a step further by optimizing a variety of risk metrics, including Conditional Value at Risk (CVaR), Worst case scenario (WS), drawdown, and more. This diverse set of optimized risk measures ensures a well-rounded approach to managing portfolio risk.

Backtesting Success:

Through rigorous backtesting, Wealtha has proven its capability to recommend the most efficient portfolios for investors. The backtests provide compelling evidence of the model's superior performance compared to conventional approaches.

Customization and Flexibility:
Wealtha stands out by offering a high degree of customization to cater to individual investor preferences. Users or operators have the option to fine-tune asset weights to align with market index risk and return profiles. This adaptability makes it suitable for various investment goals.

Conclusion:
Wealtha represents a significant advancement in the field of portfolio management. With its machine learning and AI-driven approach, it overcomes the limitations of classic models and offers an innovative solution to the challenges of modern investing. By optimizing portfolios based on various risk measures, utilizing proximity matrices, and providing customization options, Wealtha empowers investors with a powerful tool to achieve their financial objectives while managing risk effectively.

Aggregated Shareholder Composition:
Kavashareholders provides a consolidated view of various companies' ownership structures, offering users a holistic perspective of shareholding.

Transaction History:
Gain access to the complete transaction history of both individual and corporate shareholders, providing valuable insights into trading patterns and behaviors.

Performance and Returns:
Kavashareholders delves into the performance and returns of shareholders, encompassing portfolio returns, stock performance, and risk-adjusted returns. This data provides a clear understanding of shareholder success in their investments.

Monitoring Market Players:
Beyond tracking shareholders, our platform keeps an eye on key market players, including institutional investors, major shareholders, and other influential figures in the capital market.

Changes in Shareholder Positions:
Kavashareholders empowers users to monitor changes in the ownership structure of individual companies, as well as observe shifts in the shareholdings of each individual stockholder.

In essence, Kavashareholders offers a comprehensive and integrated solution for anyone interested in the Iranian capital market. Our platform equips you with a suite of tools to gather, analyze, and monitor shareholder activities, making it an invaluable resource for investors, analysts, and market participants.