Marigold Systems
By Marigold SystemsBoth Machine Learning and Options trading draws uncanny similarity from Calculus for their underlying workings. For instance, how options are priced and how the weights and biases of a perceptron are calculated are both fundamentally derived from various orders of Calculus. The basic idea of Marigold Systems is to harness the experiential learning ability of Reinforcement Learning to uncover new Options Trading Strategy. Hope to have an opportunity to share more about my plans for Marigold Systems with Everyone. Thank you.
- Stage
- Prototype
- Industries
- Banking and finance
- Deployment
- Hybrid
Why it is worth it
Marigold Systems differentiates itself by: - Deep RL to uncover trading strategies without complex quantitative financial models. - Statistical edge for options sellers with advanced analytics. - AI-driven trading signals based on real-time data.
Current online trading platforms like Interactive Brokers already has feature to recommend options strategies. However, traders still has to decide which strategies to use and these are static and cannot adapt dynamically to the changing environment which can move really fast during a market correction.
Opening the deck…
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Best customer profile
Institutional Investors. Online Brokers exploring use of AI solutions to different their trade offerings.
Notable paying customers
- No.
Working version using Deep Reinforcement Learning to trade underlying stocks. In the process of converting this to options trading version.