EPISODE · Jun 13, 2025 · 38 MIN
How AI is used to Automate Investments and Trading Strategies?
from AI Monetisation · host ProjectPro
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 innovationAI + Natural Language: Automating trading strategies without writing codeWhy Rust? Engineering a high-performance backtesting engineReal-time financial analysis with LLM-generated SQLGrowth hacking NexusTrade via TikTok and MediumWhat makes AI effective in swing vs. intraday trading Key TakeawaysFocus on problems, not ideas. AI is most powerful when solving real user pain pointsUsing LLMs for trading works best when paired with structured tools like SQLEducational UX is essential to onboard non-experts into AI-based platformsOpen-ended agentic AI in finance isn’t fully production-ready but structured workflows are5. 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/4dXBJVMProjectPro 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
What this episode covers
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 innovationAI + Natural Language: Automating trading strategies without writing codeWhy Rust? Engineering a high-performance backtesting engineReal-time financial analysis with LLM-generated SQLGrowth hacking NexusTrade via TikTok and MediumWhat makes AI effective in swing vs. intraday trading Key TakeawaysFocus on problems, not ideas. AI is most powerful when solving real user pain pointsUsing LLMs for trading works best when paired with structured tools like SQLEducational UX is essential to onboard non-experts into AI-based platformsOpen-ended agentic AI in finance isn’t fully production-ready but structured workflows are5. 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/4dXBJVMProjectPro 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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How AI is used to Automate Investments and Trading Strategies?
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