NSE, BSE Schedule Mock Trading Session on January 10 to Test System Resilience
NSE and BSE will conduct a mock trading session on January 10 to test system resilience across equity and derivatives segments. The comprehensive exercise includes testing call auctions, risk controls, trading halts, and block deal mechanisms. A key feature involves testing alternate trading venue mechanisms where BSE will serve as backup for NSE-exclusive securities during simulated outage scenarios, ensuring market continuity and compliance with SEBI directives.

*this image is generated using AI for illustrative purposes only.
Indian stock exchanges BSE and NSE have announced a comprehensive mock trading session scheduled for Saturday, January 10, designed to test system resilience and infrastructure preparedness. The exercise forms part of the exchanges' routine measures to ensure operational stability and market confidence.
Purpose and Scope of Mock Trading Session
The mock trading session will cover both equity and derivatives segments, allowing trading members and third-party platform users to validate their systems under simulated market conditions. The exercise enables participants to test order management systems, risk controls, and familiarize themselves with new features without impacting live market operations.
| Session Component | Details |
|---|---|
| Segments Covered | Equity and Derivatives |
| Participants | Trading members and third-party platforms |
| Market Impact | No effect on live markets |
| Price Display | Mock values only |
Detailed Session Schedule
The mock trading session will follow a comprehensive timeline covering various market mechanisms. The schedule begins with a login window from 10:15 am to 10:45 am, followed by multiple trading phases.
| Time Slot | Activity |
|---|---|
| 10:15 am - 10:45 am | Login window |
| Morning Session | Block deal window |
| Pre-open | Call auction sessions |
| Continuous Trading | T+1 and T+0 segments |
| Special Sessions | IPO and re-listed securities |
| Afternoon | Block deal window and post-closing activities |
The session will include trade modification windows for both T+1 and T+0 trades, with random stoppages implemented to simulate real-market unpredictability.
Testing Functionalities and Features
Participants will be able to test a wide range of market functionalities during the session. The exercise covers exceptional market conditions to help assess system behavior during stress periods.
Key testing areas include:
- Call auction sessions and risk-reduction modes
- Trading halts and block deal mechanisms
- Periodic call auctions and settlement auctions
- Order management system validation
- Infrastructure stress testing
Software Upgrade and Technical Updates
As part of the exercise, the exchange will release BOLT Pro TWS version 12.50, a new version of its trading workstation. Details regarding the software upgrade will be shared through official circulars.
Alternate Trading Venue Testing
A significant component of the January 10 session involves testing alternate trading venue mechanisms in compliance with SEBI directives. The exercise will simulate an NSE outage scenario, during which BSE will function as the alternate trading venue for NSE-exclusive securities in the equity segment.
| Scenario Component | Details |
|---|---|
| Primary Exchange | NSE (simulated outage) |
| Alternate Venue | BSE |
| Securities Covered | NSE-exclusive equity securities |
| Regulatory Compliance | SEBI directive implementation |
This testing ensures seamless trading continuity even during technical disruptions at one exchange, strengthening overall market resilience.
Market Preparedness and Risk Management
NSE emphasized that such drills are essential for identifying potential system gaps before they impact investors. Regular testing of systems, connectivity, and contingency mechanisms helps maintain operational resilience and market confidence. The mock sessions serve as preventive measures to ensure smooth market operations during actual trading hours.
Historical Stock Returns for BSE
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.91% | +1.58% | -4.62% | +7.77% | +48.30% | +3,631.48% |
















































