suman’s Substack
Suman SuhagEco Anima is a purpose driven brand creating sustainable, animal-friendly products that protect the planet while promoting conscious living.
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 706 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||
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thesumancoder.substack.comLatest Issues
The Anatomy of Monetary Reform: Fractional Reserve Banking vs. The Chicago Plan
Most people think that when they make a deposit in their checking account the money is placed in a safe vault or at central reserve and will stay there until they go to use it.
Fractional Reserve Banking and The Chicago Plan - Colab
In ac...
The Yen Carry Trade: A Hidden Force Behind Global Markets
One of the biggest influences-but one of the least visible-in global financial markets for years has been the yen carry trade. Investors financed their positions by borrowing money in Japan-at low interest rates-to buy higher-yielding inves...
Rebuilding the Bank From Scratch: Three Models for a Post-Crisis Financial System
What if banks were reimagined today, from a clean slate?
Several concepts keep coming up. One is “narrow banking”, separating taking deposits from lending entirely.
Instead of borrowing short to lend long, checking deposits are backed...
The "Decentralized Bank" Problem: Why Old Rules Don't Fit New Money
Trying to fine a company for breaking the law, when there’s no CEO, no office, no headquarters, and nobody who can legally take responsibility for saying “yes, we are in charge.” Regulators are wrestling with this reality right now in decen...
Why 100% Reserve Backing Doesn't Prevent Digital Bank Runs
In this deep dive, we break down three case studies that define the risk spectrum of digital narrow banking:
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Terra USD (UST): The math behind a $45B algorithmic death spiral.
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Euler Finance: How a missing liquidity check in `dona...
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Building at the intersection of probability, linear algebra, and clean code. Math: Proving it works. Stats: Understanding why it happens. Code: Making it scalable. \ud83d\udee0️ Loss functions, matrix operations, and high-performance algorithms.
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