JOACKIN
joakin
Arreststo un matematico russo che lavora per Goldman Sachs per spionaggio industriale, il 5 giugno si era dimesso da Goldman e poi era stato assunto per 4 volte lo stipendio da un altra società che fa High Frequency Trading
sembra abbia scaricato, criptato e trasferito su un wesite gli algoritmi segreti di Goldman, che difatti questa settimana è scomparsa dalla lista dei traders con maggiore volume al NYSE e Nasdaq,
questa vicenda ti da uno spaccato di come Goldman fa i soldi, con i microtrade automatizzati che spazzano il mercato ogni 30 secondi
l'FBI lo ha giù arrestato e incriminato dopo pochi giorni che Goldman lo ha accusato. il trading computerizzato è il 50% del volume a NY e Goldman ne costituiva più della metà, cioè Goldman da sola faceva un 25% del volume trattato sulle azioni a NY. Questa settimana di colpo sembra sia scomparsa
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Going back to Matt Goldstein's story. In a nutshell, on Friday, one Sergey Aleynikov was arrested at Newark airport by FBI agents, as he was coming back from a trip to Chicago (maybe visiting his new employer), on what are basically industrial espionage charges. Sergey, or Serge as his Linked-In account identifies him, was VP of equity strategy over at 85 Broad (or maybe 1 New York Plaza, his detailed Bloomberg Bio page has disappeared) had the following responsibilities at Goldman Sachs according to Linked-In:
• Lead development of a distributed real-time co-located high-frequency trading (HFT) platform.The main objective was to engineer a very low latency (microseconds) event-driven market data processing, strategy, and order submission engine. The system was obtaining multicast market data from Nasdaq, Arca/NYSE, CME and running trading algorithms with low latency requirements responsive to changes in market conditions.
• Implemented a real-time monitoring solution for the distributed trading system using a combination of technologies (SNMP, Erlang/OTP, boost, ACE, TibcoRV, real-time distributed replicated database, etc) to monitor load and health of trading processes in the mother-ship and co-located sites so that trading decisions can be prioritized based on congestion and queuing delays.
• Responsible for development of real-time market feed handlers, order processing engines and trading tools at a Quantitative Equity Trading revenue-making HFT desk....
sembra abbia scaricato, criptato e trasferito su un wesite gli algoritmi segreti di Goldman, che difatti questa settimana è scomparsa dalla lista dei traders con maggiore volume al NYSE e Nasdaq,
questa vicenda ti da uno spaccato di come Goldman fa i soldi, con i microtrade automatizzati che spazzano il mercato ogni 30 secondi
l'FBI lo ha giù arrestato e incriminato dopo pochi giorni che Goldman lo ha accusato. il trading computerizzato è il 50% del volume a NY e Goldman ne costituiva più della metà, cioè Goldman da sola faceva un 25% del volume trattato sulle azioni a NY. Questa settimana di colpo sembra sia scomparsa
----------------
Going back to Matt Goldstein's story. In a nutshell, on Friday, one Sergey Aleynikov was arrested at Newark airport by FBI agents, as he was coming back from a trip to Chicago (maybe visiting his new employer), on what are basically industrial espionage charges. Sergey, or Serge as his Linked-In account identifies him, was VP of equity strategy over at 85 Broad (or maybe 1 New York Plaza, his detailed Bloomberg Bio page has disappeared) had the following responsibilities at Goldman Sachs according to Linked-In:
• Lead development of a distributed real-time co-located high-frequency trading (HFT) platform.The main objective was to engineer a very low latency (microseconds) event-driven market data processing, strategy, and order submission engine. The system was obtaining multicast market data from Nasdaq, Arca/NYSE, CME and running trading algorithms with low latency requirements responsive to changes in market conditions.
• Implemented a real-time monitoring solution for the distributed trading system using a combination of technologies (SNMP, Erlang/OTP, boost, ACE, TibcoRV, real-time distributed replicated database, etc) to monitor load and health of trading processes in the mother-ship and co-located sites so that trading decisions can be prioritized based on congestion and queuing delays.
• Responsible for development of real-time market feed handlers, order processing engines and trading tools at a Quantitative Equity Trading revenue-making HFT desk....
