Generating real-time credit intelligence with Claude

1. 0:01 – 0:32

   Market signal: Walmart 2030 bonds tighten ahead of portfolio review

   1. SPSpeaker0:01

      Let me show you how Claude helps credit analysts move from market signal to investment decision in minutes, not hours. We're following Yuri, a credit analyst at a multi-strategy fund, Steady Capital. It's 10 AM, and he notices the Walmart twenty-thirty bonds moving tighter. Portfolio review is at 2pm. Yuri wants to know, is this a trading opportunity or a fundamental shift? He starts simple. Show me Walmart's bond curve and compare it to Costco and Target. Claude connects to LSEG. Within seconds,

2. 0:32 – 0:39

   Rapid curve and comps analysis via LSEG dashboard

   1. SPSpeaker0:32

      an interactive dashboard is ready. Yuri sees full Walmart curve with live data. The twenty-thirty is tight, but there is a steep jump out to

3. 0:39 – 0:47

   Interpreting the curve: tight 2030s, but long-end compensation

   1. SPSpeaker0:40

      twenty-thirty-seven and twenty-thirty-eight. The market wants compensation for a longer duration. Claude automatically pulls comps for Costco

4. 0:47 – 0:55

   Relative positioning: Walmart priced as best-in-class vs. peers

   1. SPSpeaker0:48

      and Target, and Walmart trades tighter than both of them. In under a minute, Yuri sees that Walmart is priced as best-in-class. Now,

5. 0:55 – 1:02

   Fundamental deep dive request: earnings calls + expert network + writeup

   1. SPSpeaker0:55

      do the fundamentals support it? Yuri asks Claude, "Dig deeper on Walmart's credit quality. Analyze last three earnings calls, check

6. 1:02 – 1:12

   Parallel research across Aiera transcripts and Third Bridge experts

   1. SPSpeaker1:02

      Third Bridge experts, and give me a writeup." Claude pulls Aiera earnings transcripts, Q4, Q1, Q2, while searching Third Bridge for former

7. 1:12 – 1:23

   Earnings-call patterns: growth, e-commerce leverage, and higher-margin mix

   1. SPSpeaker1:13

      Walmart executives. Everything happens in parallel. Within minutes, Claude has a complete credit analysis ready. It found patterns across three quarters: consistent sales growth, e-commerce is surging,

8. 1:23 – 1:33

   Transparent sourcing: every claim linked to underlying transcripts

   1. SPSpeaker1:23

      advertising is up nearly fifty percent, and new high-margin businesses are scaling. Every claim is verifiable with links that go directly to Aiera's platform and the exact transcript

9. 1:33 – 1:48

   Expert confirmation: profitability and tariff advantage from former execs

   1. SPSpeaker1:33

      Claude analyzed. Claude found former execs who actually built these systems. One confirms the e-commerce profitability story. Another explains their competitive advantage on tariffs. Supplier relationships and domestic sourcing give them structural protection. Claude synthesizes everything.

10. 1:48 – 2:03

    Synthesis: not a blip—multi-quarter execution plus expert validation

    1. SPSpeaker1:49

       This is a trend, not a blip. Three quarters of strong execution, experts confirming it's real, with every data point linked to source. It's 1:45pm. Yuri walks into the portfolio review with his dashboard and comprehensive deep dive. The story is clear.

11. 2:03 – 2:21

    Portfolio review-ready conclusion: maturity-specific value (short vs. long bonds)

    1. SPSpeaker2:03

       The market is pricing Walmart as best-in-class, and fundamentals back it up. Claude's view: short bonds are priced to perfection, and longer bonds offer better value if this transformation continues. 30 minutes, three platforms, one story with full transparency. That's the difference between data and conviction.

Episode duration: 2:32