Collaboration Opportunity: Building a Trading Robot with SKA Entropy Learning

[quantiota]

Hello everyone,


I am actively seeking a quantitative finance collaborator to help build and test an automated trading robot based on the Structured Knowledge Accumulation (SKA) entropy learning framework. SKA is a novel, information-theoretic approach to market regime detection, offering new insights into price dynamics and regime transitions that go beyond classical Markov or machine learning models.


What I bring:

• Original SKA algorithms (with open-source code and papers: arXiv:2503.13942, arXiv:2504.03214)
• Real-time entropy-based regime signals and transition probabilities
• Proven ability to extract actionable market microstructure insights

What I’m looking for:

• A quant or developer with experience in algorithmic trading, backtesting, and strategy automation (Python preferred)
• Enthusiasm for exploring information-theoretic or novel AI methods in live trading
• Interest in co-authoring research or building a proof-of-concept trading strategy

If you are interested in collaborating, or would like to discuss SKA’s potential for trading strategies, please reach out!


Thank you
Bouarfa Mahi
GitHub repo: SKA-quantitative-finance
[Contact: DM]

 

[gtell]

Are you looking for a person or a team?
If you are looking for a team I can cooperate and take a small part.