I will build ai powered agentic stock trading system for nse

P
polybotberlin
P
polybotberlin
Nord Quant
Parte de la información aparece en idioma inglés.
build ai powered agentic stock trading system for nse
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build ai powered agentic stock trading system for nse

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This architecture has shown remarkable results in the Indian market, with one implementation processing all 2,129 NSE stocks and achieving 88% precision in identifying genuine upward momentum breakouts .


I build production-grade AI-powered agentic trading systems for the Indian stock market that combine:


  • Multi-agent orchestration Analyst, Risk, and Execution agents working in coordination 
  • Natural language trading "Buy 50 Reliance at market price" 
  • Hybrid architecture AI identifies opportunities, code-based risk rules enforce safety (LLM has NO veto power over risk)
  • Real-time execution Via Zerodha Kite, Fyers, Dhan MCP, and other Indian brokers


Inbox me

  • Experiencia en modelos

    • Desarrollo de modelos a medida
    • Perfeccionamiento de modelos

  • industria

    • Crypto y Blockchain
    • Servicios financieros
    • Otros

  • Lenguaje de programación

    • Java
    • JavaScript
    • PyTorch
    • TensorFlow

  • Idioma

    • Inglés

  • Experiencia técnica

    • Procesamiento del lenguaje natural (PLN)
    • Aprendizaje por refuerzo (sistemas de toma de decisiones)

Conoce a Nord Quant

Nord Quant

AI Agent Engr

  • DeAlemania
  • Miembro desdeabr 2026
  • Responde aprox. en:2 días

  • Idiomas

    Alemán
Build AI Agentic Trading Bots for Crypto, Forex, Stocks & NFTs I'm a specialist AI agent developer building production grade multi agent trading systems for crypto, Forex, stocks, and NFTs. My expertise lies in orchestrating teams of specialized AI agents that analyze markets, debate strategies, and execute trades all through natural language. Disclaimer: I build trading software. I do not provide financial advice or guarantee profits. All trading decisions remain yours. Paper trading and backtesting are strongly recommended before deploying real funds.

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