Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
QuantPower Wins Exchange Approval For Algo Trading
Mar 13, 2026 | NCFA Market Activity | AI In Finance And Trading Infrastructure
Image: Freepik AI
India Platform Clears A Regulatory Step In AI Driven Trading Infrastructure
On March 13 2026, QuantPower said it received official exchange approval under the CTCL framework, a regulatory step that allows its automated execution strategies to connect to the exchange trading system through compliant infrastructure. The company said the approval covers the Algo Application category for F&O segment execution strategies.
QuantPower said the approved setup includes proprietary and client trading, a direct connection using trimmed CTCL, Linux based infrastructure, and in house systems developed by parent company Wisdom Tree Ventures Pvt. Ltd. The company also said the approved strategy list includes Iron Fly and other algorithmic trading strategies.
See: Nasdaq Seeks SEC Approval for Tokenized Stock Trading
The company says the exchange reviewed its automated trading system and decision support infrastructure under the CTCL framework. That gives the story more weight than a standard product update because it confirms the platform has crossed a formal exchange review process for live strategy execution.
QuantPower says it was founded in 2022 in Noida and has since added broker tools, backtesting, and options analytics. It also points to earlier recognition, including a 2023 award for Best Algo Trading Platform in India and a 2024 award for Best Trading Platform in India.
QuantPower says its platform includes a strategy builder, algo bots, historical backtesting, advanced options analytics, real time market scanners, and signal based trading tools. It also says subscription plans start at ₹299 per month, which points to a retail and small trader access model rather than a pure institutional product.
What NCFA Readers Should Watch
As exchanges and regulators tighten rules around algorithmic trading, the firms that win will likely be the ones that combine automation with compliant connectivity, risk controls, and audit trails. That creates room for fintech builders working on execution systems, surveillance, broker connectivity, and trading analytics.
Read: Kalshi Fines MrBeast Editor In Insider Trading Case
While this announcement does not change market structure on its own, it's a clear sign that AI enabled trading platforms are moving deeper into regulated infrastructure (beyond institutional desks) rather than staying at the edge of the market.
Talking Point
As algorithmic tools move toward retail and small trader access, will compliant infrastructure become the real moat in AI driven trading?
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