Everbright Securities 'fat-finger' trading glitch
A software error at Chinese brokerage Everbright Securities triggered $1.14 billion in erroneous stock orders within seconds, briefly spiking the Shanghai Composite Index.
The damage was public. The root cause was preventable.
A software error at Chinese brokerage Everbright Securities triggered $1.14 billion in erroneous stock orders within seconds, briefly spiking the Shanghai Composite Index.
What the software actually got wrong
A bug in a newly deployed order-generation and arbitrage system caused it to repeatedly resend the same buy orders instead of executing them once, flooding the market with unintended trades before the firm could halt the malfunctioning system.
A bug in a newly deployed order-generation and arbitrage...
A bug in a newly deployed order-generation and arbitrage system caused it to repeatedly resend the same buy orders instead of executing them once, flooding the market with unintended trades before the firm could halt the malfunctioning system.
Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.
Beyond code coverage and "shall" testing
Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.
Surfaces this before code exists
Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.
Connects the failure mode to the hazard
Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.
Find the overlooked root causes before they ship.
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