Technology

Discover the latest technological advancements driving the future of algorithmic trading and automated finance. From AI-powered trading bots to blockchain innovations and machine learning algorithms, our Technology section covers how these disruptive technologies are transforming the financial industry. Stay informed with in-depth articles on the tools, platforms, and technologies reshaping market strategies, risk management, and investment opportunities.

Static IP vs Dynamic IP – Why It Matters for Trading Bots

If you're running trading bots in India, this distinction can mean the difference between seamless execution and total rejection. With NSE’s 2025 mandate for retail algo trading, understanding why static IPs matter more than ever is critical for compliance and performance. 📈 The Basics: Static IP vs Dynamic

URGENT: Your Algo Trading May STOP on October 1st – NSE Static IP Mandate Explained

Starting October 1st, 2025, thousands of algo traders will see their orders automatically rejected if they haven’t complied with NSE’s latest mandate. static IP address registration for all trading algorithms, whether hosted on-premise or on cloud infrastructure. If you're a retail algo trader in India, understanding

Understanding Apache Fineract: A Scalable Core Banking Engine for the Digital Age

Introduction In an era where digital-first banking is reshaping financial landscapes, Apache Fineract has emerged as a powerful open-source core banking platform. Tailored for micro-finance institutions, credit unions, digital banks, and fintech innovators, Fineract empowers organisations to deliver inclusive, scalable, and modern financial services across emerging markets. Whether you are

The Future of AI in Software Development: What’s Next?

Artificial Intelligence (AI) is revolutionizing software development, streamlining workflows, enhancing code quality, and accelerating deployments. But as AI continues to evolve, what groundbreaking advancements can we expect? While tools like GitHub Copilot, AI-driven testing, and multi-modal AI have set new benchmarks, the next phase of AI innovation is poised to