How AI is used to Automate Investments and Trading Strategies?
Description
In this episode of the AI Monetisation Podcast, Austin Starks, Founder and CEO of NexusTrade.io, joins Binny Mathews, Co-founder of ProjectPro, to unpack how AI is reshaping investment and trading strategies with automation at the core.
What’s Inside?
- From pre-med to solo founder: Austin’s unconventional path to fintech innovation
- AI + Natural Language: Automating trading strategies without writing code
- Why Rust? Engineering a high-performance backtesting engine
- Real-time financial analysis with LLM-generated SQL
- Growth hacking NexusTrade via TikTok and Medium
- What makes AI effective in swing vs. intraday trading
Key Takeaways
- Focus on problems, not ideas. AI is most powerful when solving real user pain points
- Using LLMs for trading works best when paired with structured tools like SQL
- Educational UX is essential to onboard non-experts into AI-based platforms
- Open-ended agentic AI in finance isn’t fully production-ready but structured workflows are
- 5. A fast, solo-built AI stack is feasible if you’re relentlessly focused and love to code
This episode is a must-listen for fintech builders, AI engineers, and investors looking to understand how LLMs are transforming the future of trading.
For full show notes, visit-https://bit.ly/4dXBJVM
ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/43KVvkc
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