Tag: Automated Market Maker

What’s Going On With PYUSD on Stellar

PayPal’s stablecoin PYUSD has been expanding rapidly across the broader crypto landscape. In the past month alone, total supply surged 113 percent, reaching an all-time high of $2.54 billion dollars in circulation, making it the seventh-largest stablecoin behind USDe, USDS, DAI, and USD1. Ethereum currently holds about 1.84 billion dollars worth of PYUSD. Solana holds […]

Synthetic Leverage Tokens as High-Beta Growth Assets

It had been raining for days. The kind of rain that sits on your skin like an old friend. Someone I missed during my long Mexican retreat. Everyone in the house was sick, curled under blankets and breathing through their mouths, and I found myself in a chair that had lost its shape, watching water […]

Synthetic Leverage through locked AMMs on Stellar

Volatility as Structure: Pairing With Forgotten Meme Tokens There’s a particular kind of silence that settles over an abandoned token. No announcements. No trades. No interest. But if its issuing account is locked and its liquidity pool still holds XLM, that token doesn’t die. It becomes dormant. A sealed container of asymmetric value waiting to […]

Market Positioning and Trading Path Analysis in AMM Systems

The success of an Automated Market Maker (AMM) systems increasingly depends on the strategic positioning of liquidity pools and the efficiency of trading paths. Understanding where a liquidity pool fits in a broader trading ecosystem, and how trades flow through direct and indirect routes, is essential for optimizing returns and minimizing volatility. This post explores […]

Understanding Price Impact and Slippage in Liquidity Pool Dynamics

Automated Market Makers (AMMs) have become central to the functioning of liquidity across networks like Stellar. One of the most important aspects of AMM-based trading is understanding how price impact and slippage affect trades and liquidity pool performance. This post explores how these dynamics work, why they matter, and how they influence returns for liquidity […]

Potential Methodologies for Calculating Optimal Pool Ratios

In decentralized liquidity systems, the ratio of assets allocated across pools can significantly influence earning efficiency, market stability, and price sensitivity. This post explores a data-driven approach to optimizing pool ratios using core performance metrics, dynamic adjustments, and system-aware constraints. The goal is to propose a speculative but structured framework for calibrating pool weights in […]

Key Insights into Liquidity Pool Dynamics

Liquidity pools are the backbone of decentralized trading platforms, but their success depends on more than just how much capital they hold. A deeper look at pool behavior reveals that the relationship between pool size, volume, and efficiency is complex, and getting it right requires a careful balance of several interrelated factors. I have identified […]

Price Volatility in AMM Liquidity Pools

Automated Market Makers (AMMs) play a central role in decentralized finance, but they also introduce unique behaviors in price volatility, especially when liquidity is unevenly distributed across trading pairs. By exploring both individual pool dynamics and system-wide liquidity effects, we can gain a clearer picture of how volatility emerges and propagates through AMM-based markets. Individual […]

Deflationary Compounding: Capturing Value from Market Volatility

I’ve watched digital markets long enough to notice something most people overlook: volatility itself can be a resource. What Is Deflationary Compounding? Deflationary compounding is a financial mechanism that systematically reduces token supply to increase token value through the mathematical certainty of automated market makers (AMMs). Think of it like a hydroelectric dam. The dam […]