Nova AI trading upgrade adds institutional-grade features, turning its Agent Flow Builder into a powerful decentralized trading engine.
Author: Akshat Thakur
September 15, 2025 — Nova builders has announced a major upgrade to its Agent Flow Builder, marking a leap forward in decentralized AI trading. The update introduces six new trading nodes designed to strengthen strategy design, testing, and execution within the Nova AI trading ecosystem.
The newly added features include real-time price feeds, technical indicators, AI pattern recognition, risk management modules, backtest engines, and exchange connectors. Together, these transform the Agent Flow Builder into a full AI trading engine, enabling developers to orchestrate advanced strategies with greater speed and precision.
A Nova_builders spokesperson said the upgrade is redefining decentralized trading by embedding institutional-grade capabilities. The goal is to make advanced strategies accessible to both developers and independent traders.
The timing reflects rising demand for decentralized finance solutions, with investors pushing for transparent and efficient trading models. Nova’s integration of AI modules positions it as a leading force in AI-driven DeFi infrastructure.
Fintech analyst Dr. Anika Patel noted that Nova’s approach could set a new standard for strategy deployment. She highlighted the potential to close the gap between retail traders and institutions by offering professional-grade tools in a decentralized environment.
Nova_builders also revealed plans to let developers create, launch, and monetize their own AI agents directly on-chain. This initiative brings agent creation, execution, and revenue models under one framework, designed to foster innovation and long-term ecosystem growth.
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