AMM Explained: How Automated Market Makers Power Decentralized Trading

When you trade crypto on a decentralized exchange like Uniswap or Jupiter, you’re not dealing with a person or a central order book—you’re interacting with an AMM, an automated market maker that uses math instead of humans to set prices. Also known as algorithmic liquidity protocol, it’s what makes decentralized trading possible without middlemen. Unlike traditional exchanges where buyers and sellers match orders, an AMM relies on pre-programmed formulas to keep assets flowing. The most common one? The constant product formula: x * y = k. That’s it. No bids, no asks—just math keeping prices in motion.

Behind every AMM is a liquidity pool, a reserve of two tokens locked in a smart contract to enable trading. If you want to swap ETH for USDT, the AMM pulls from that pool and adjusts the ratio automatically. The more liquidity in the pool, the smoother the trade. But here’s the catch: if the pool is small, your trade can cause big price swings—that’s slippage. And if no one adds liquidity, the AMM doesn’t work at all. That’s why projects like Flux Protocol or CrossWallet rely on incentives to get people to lock up their tokens. But not all liquidity is real. Some DeFi projects fake TVL by recycling the same tokens across pools, making their AMM look bigger than it is. You’ll see that in posts about TVL manipulation and inflated metrics.

AMMs don’t just enable swaps—they enable entire ecosystems. They power DEXs, decentralized exchanges that run without central servers or company control, letting users trade directly from their wallets. That’s why Jupiter dominates Solana, and OraiDEX tries to stand out with AI-powered routing. But AMMs also carry risks. Impermanent loss, smart contract bugs, and fake tokens can wipe out your funds if you’re not careful. The HERO and CHY airdrops? They didn’t fail because of bad tech—they failed because no one trusted the underlying AMM or liquidity. And when a project like Lunar Crystal vanishes, it’s often because the AMM was just a front for a rug pull.

What you’ll find here aren’t theory lessons. These are real cases: how AMMs are used, abused, and exploited. From the $90M hack that killed Nobitex’s liquidity to how Iranian traders use DAI on Polygon to bypass sanctions through AMM-based swaps, every post shows how this tech works in the wild. You’ll see how P2P networks and rollups connect to AMMs, how crypto exchanges prevent double-spending on-chain, and why some AMMs offer 10,000x leverage with no liquidations—because they’re not built for stability, they’re built for hype. This isn’t about what AMMs could be. It’s about what they are right now—and who’s really winning.