Message: Return type of CI_Session_null_driver::open($save_path, $name) should either be compatible with SessionHandlerInterface::open(string $path, string $name): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_null_driver::close() should either be compatible with SessionHandlerInterface::close(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_null_driver::read($session_id) should either be compatible with SessionHandlerInterface::read(string $id): string|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_null_driver::write($session_id, $session_data) should either be compatible with SessionHandlerInterface::write(string $id, string $data): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_null_driver::destroy($session_id) should either be compatible with SessionHandlerInterface::destroy(string $id): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_null_driver::gc($maxlifetime) should either be compatible with SessionHandlerInterface::gc(int $max_lifetime): int|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
NRIPage | Articles | Sebi's New Algo Trading Rules: Enhancing Investor Protection and Market Transparency | Get Latest International News & Updates. Your Source for World Events and Updates - NRI Page
SEBI has introduced new algorithmic trading regulations requiring firms to register with stock exchanges. The rules mandate closed, vendor-specific APIs and unique trade identifiers for transparency. Brokers must conduct due diligence before onboarding algo providers. Investors creating their own algorithms above set limits must register through brokers. These measures aim to prevent market manipulation, enhance security, and ensure compliance, improving oversight in high-frequency trading environments.
Compliance Measures and Future Implementation
To further regulate complex and opaque algorithmic trading systems, SEBI has introduced new compliance measures for blackbox algorithms. Investors who use proprietary or undisclosed algo strategies must now register as Research Analysts. Any modifications to their trading algorithms will require re-registration and the submission of a comprehensive research report detailing the changes. This step ensures that all algorithmic strategies remain accountable and that trading models operate within regulatory boundaries.
Stock exchanges will play a crucial role in overseeing compliance with these regulations. While SEBI itself will not directly supervise individual algo trading firms, exchanges will be responsible for enforcing the rules, monitoring transactions, and ensuring adherence to the new guidelines. By decentralizing regulatory enforcement to the exchanges, SEBI aims to enhance operational efficiency while maintaining strong oversight of the algorithmic trading ecosystem.
The implementation timeline for these regulations has been structured to allow market participants to transition smoothly. SEBI has announced that the new regulations will take effect starting August 1, 2025, with stock exchanges required to establish compliance and implementation standards by April 1, 2025. This phased approach allows traders, brokers, and algo firms to align their systems with regulatory expectations while ensuring minimal disruption to ongoing trading activities.
With these new measures, SEBI is reinforcing its commitment to investor protection, market transparency, and financial stability. Algorithmic trading, while beneficial in terms of efficiency and liquidity, poses significant risks if left unregulated. By instituting these stringent guidelines, SEBI aims to strike a balance between technological advancements and the need for responsible trading practices. As algo trading continues to evolve, the effectiveness of these regulations will be closely monitored, with potential revisions to address emerging market challenges in the future.
