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Autonomous Algorithmic Trading Systems: Self-Learning Models & Regulatory Compliance - Technological Advancements

Former Managing Director, Wholesale Client Services (IT)
HSBC
Robo-Advisors & Algorithmic Trading
UK
Europe

$ 795

June 18, 2025

Topics covered in this transcript

  • How do Reinforcement Learning models adapt to changing market microstructures?
  • What circuit breaker mechanisms prevent cascading failures?
  • How are ethical constraints programmed into trading bots?
  • What explain ability techniques satisfy MiFID II (Markets in Financial Instruments Directive II) ?
  • How do systems manage latentcy arbitrage opportunities?
  • What black swan event simulations validate robustness?
  • How are cross-asset correlations leveraged dynamically?
  • What liquidity provisioning algorithms prevent slippage?
  • How do profit-taking mechanisms balance risk/reward?
  • What regulatory reporting templates automate compliance?
  • How are back testing frameworks accelerated via quantum?
  • What cybersecurity protocols protect trading models?

Keywords

  • Reinforcement Learning
  • Market Impact
  • Circuit Breakers
  • Explain ability
  • Latency Arbitrage
  • Regulatory Reporting
  • Ethical Constraints
  • Back testing
  • Liquidity
  • Black Swan
  • Cross-Asset
  • Profitability

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Get in touch with us to learn more about our services, ask for assistance with a technical difficulty, or if you would like a product demo.
info@nextyn.com
Singapore
68 Circular Road, #02-01
049422, Singapore
Jakarta

Revenue Tower, Scbd, Jakarta 12190, Indonesia
Mumbai
4th Floor, Pinnacle Business Park, Andheri East, Mumbai, 400093
Bangalore

Cinnabar Hills, Embassy Golf Links Business Park, Bengaluru, Karnataka 560071
Instagram Favicon

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