SEKASA's believe: There is No One Perfect AI Model
That’s why we have in-house developed an ecosystem of 1,800+ AI models and 50+ data APIs, all integrated within a conformal prediction framework in our SEKASA Fin tool.
This framework considers various market influences and positions, providing adaptable, reliable insights and confidence levels in the forecasts.
Family Offices & Asset Manager
We provide you with quant driven investment insights tailored to your portfolio and risk management strategies.
Challenges such as high costs, complex integrations, and limited customization often make it difficult to fully unlock the potential of quant-driven opportunities.
Our quant-driven customizable trading bot software address these challenges, enabling the precise implementation of custom strategies aligned with your specific needs, including asset classes, bot behavior, holding periods, and risk tolerances.
You maintain complete control while benefiting from a quant layer framework that integrates seamlessly (via API) with your systems and processes, ensuring full data protection.
Broker & Platform Provider
Engage your users with AI-driven trading signals and gamified options to adjust strategies by time frames, frequencies, and asset classes. Our tool integrates effortlessly into your existing solutions via API or can be delivered as an optional email service, enhancing user engagement while aligning with your platform’s requirements.
Our tool works as well perfectly for internal Risk Management.
Incorporated in our SEKASA ecosystem, for instance:
The SEKASA Fin API tool fits seamlessly into any portfolio & risk management strategy regardless of trading volume through customized deployment
News Alert:
Tired of the AI buzzword overload? I think we all are...
If you’re looking for real insights into AI in finance, beyond the buzz, this is for you. ⚡
To the full episode click here
Check out the great Financial Frontiers podcast, where my Co-Founder, CTO & Quant Researcher Sebastian, joined Constantions to discuss the impact of AI in Finance, like quant driven trading support.
Some examples of the topics covered:
🔹 The challenges & opportunities of AI in finance
🔹 A 𝐝𝐞𝐞𝐩 𝐝𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐪𝐮𝐚𝐧𝐭-𝐝𝐫𝐢𝐯𝐞𝐧 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐬𝐮𝐩𝐩𝐨𝐫𝐭,including insights into our tool, our quant-driven approach incl. key technical aspects like our conformal prediction methodology
🔹 How we support our B2B clients with quant-driven insights, supporting trading and valuation.
🔹What challenges young companies face in scaling tech solutions in Europe
June 2024: Our CTO Sebastian was giving a keynote about AI in investment and trading at the XX Eurasian Bond Congress, organized by Cbonds, in Istanbul last week.
May 2024: Our two co-founder had a great time at the Reflect Festival 2024.
We are proud members of the NVIDIA Inception program since the foundation of our company 1.5 years ago
SEKASA has teamed up with Grant Thornton Cyprus' Quantitative Risk team to conduct a joint study on the development of machine learning systems for credit default prediction. Please find the full article here:
May 2024: Our CEO Kathariana had the pleasure of attending the Best Invest 2024 panel discussion and it was a blast. 🎉It was a thought-provoking discussion about the challenges and opportunities in developing new AI solutions, as well as demystifying the buzzword AI. 🤖
May 2024: SEKASA Technologies made it into the top 36 of over 1500 companies and could participate in this year's pitch contest at the reflect festival .
We are happy to be a member of TechIsland and enjoyed the TechIsland Connect #5 in March 2024
Sebastian, CTO and co-founder of SEKASA, was one of the speakers in a dynamic discussion on the future of wealth management and the impact of AI at the Forbes Cyprus - The Future of Fintech Summit.
The group had a great, but also controversial discussion about wealth management and the benefits, but also the limitations of using AI.
In the end, it all comes down to the human and machine partnership and how to best harness the power of AI🤝
Katharina Brunkhorst and Sebastian Niehaus are the brains behind SEKASA.
Katharina brings her expertise in financial strategy and risk management, while Sebastian brings his extensive experience in machine learning and statistics.
Together, they are creating a new paradigm in financial analysis.
Our mission is to make institutional-level quant trader insights accessible to clients of all sectors to make smarter financial decisions using our quantitatively supported price trend forecasting tool
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