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- White House Now Doesn’t Dispute Details of Trump's Call with Army Widow
- Goldman Sachs’ Lloyd Blankfein Just Threw Some Serious Brexit Shade
- Guggenheim Partners ‘Bank Wrecker’ Could Get $100Mn Exit Package
- Proposed Arbitration Rule Change: For Customers Dealing with an Inactive Firm or Associated Person
- This Family Bet It All on Bitcoin
- Clearinghouses Pass CFTC Liquidity Stress Tests
- President Trump Admits He’s Trying to Kill Obamacare. That’s Illegal.
- Trump Plunges Down List of ‘America’s Richest’
- Is Trump’s “Foreclosure King” in Over His Head?
- FBI Arrests NCAA Basketball Coaches and Adidas Rep in Bribery Probe Involving Recruitment
- Equifax CEO Steps Down Amid Hacking Scandal
- Litigation Costs to Rub Salt in RBS Investor Wounds
- RIAs Poised to Land Wirehouse Recruits - Dan Jamieson
- Citibank and U.K. Affiliate to Pay $550K Penalty for Swap Data Reporting Violations - CFTC
- AIG to Restructure into 3 New Units, Marking CEO's First Big Move
- Accounting Firm Deloitte Says It Suffered Cyberattack (subsc reqd)
- Upcoming FINRA Board Meeting and FINRA360 Update
- Elizabeth Warren Lifts Hold on Trump DOJ Antitrust Nominee
- Bigger Mergers Narrow Indy Reps' Options, Alter IBD Channel - Dan Jamieson
- Dentons to Merge with U.K.'s Murray & Spens
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NEWSLETTERS & ALERTS
Rogue Traders 'Come Up Aces'
Chalk up another win for Artificial Intelligence (AI). More particularly, let’s hear it for the AI program that ferreted out suspicious trading activity based on individuals' psychological tendencies gleaned from piles of communications.
Called in to help companies that were under investigation for possible trading irregularities, Behavox, a U.K. start-up, detected a link between poker nights – attended by heads of trading from major investment banks – and big spikes in their firms' trading profits.
According to Erkin Adylov, CEO of Behavox:
"The relationship between the people involved is the reason we flagged it. The three people who kept playing poker were very close and seem important - i.e. there seemed like there was a business relation. The fact that these guys spent a ton of time playing poker when they were clearly busy was the first thing we highlighted. When you analyzed P&L and overlaid one data set with another, there was a big spike in P&L after the poker night. When we highlighted, the compliance guys were able to connect the dots and found it was a case of collusion."
[Click below link for the whole story.]