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What is the core difference between CEX and DEX models?

cex dex farkı is not only about the trading interface, but about who controls the assets. On centralized exchanges, user balances are often recorded on the platform's books; assets are held in the exchange's wallets, and the user effectively has a claim against the exchange.

In this setup, the private key is with the exchange. On decentralized exchanges, transactions run through smart contracts, and the user signs the trade directly from their own wallet. For that reason, custody risk on the DEX side may be lower, while wallet security and smart contract risk become more visible.

What is a decentralized exchange?

The short answer to what is a decentralized exchange is a protocol where users trade without handing assets over to an intermediary custodian. But this does not always mean a simpler or cheaper experience; network fees, liquidity depth and user error can all shape the outcome.

How order books differ from AMMs

Centralized exchanges usually operate on an order book model. Buy and sell orders match at specific price levels, and the price forms where that matching becomes concentrated. The alternative model that has become common in the DEX ecosystem is the automated market maker.

Uniswap launched its first version in November 2018 and brought the AMM model, based on a constant-product formula, to a much wider audience. In the x*y=k logic here, x and y represent the reserves of the two assets in the pool, while k is the product that must remain constant.

What is a liquidity pool and why does slippage occur?

The question of what is a liquidity pool sits at the center of understanding the AMM structure. A pool is formed when users lock two or more assets into a smart contract, and trades are executed against these reserves.

As trade size grows, the balance in the pool is distorted more heavily. As a result, the difference between the theoretical price and the executed price can widen; this is called slippage, or price impact. Large orders can create higher slippage, especially in shallow pools.

Liquidity provision and impermanent loss

Users who add assets to a pool may earn a share of trading fees. However, when the prices of the two assets move sharply against each other, impermanent loss, or temporary loss risk, can arise. This loss refers to the difference versus simply holding the assets; if prices return to their previous balance, the effect may fade, but at withdrawal it can turn into a permanent outcome.

What do proof-of-reserves reports show, and what do they not show?

Proof of reserves reports are designed to show the specific assets held by a centralized exchange. After the collapse of FTX, many centralized exchanges began publishing such reports. But showing the asset side alone does not, by itself, amount to proof of full solvency.

To understand whether a platform is truly sound, its liabilities also need to be examined in a comprehensive way. In other words, a reserve report may point to the existence of assets; but if liabilities, collateral structure and off-balance-sheet risks are not visible, the picture remains incomplete.

What structural risks did past collapses reveal?

Mt. Gox said roughly 850,000 BTC had gone missing when it filed for bankruptcy in February 2014. FTX filed for Chapter 11 bankruptcy protection in the U.S. on November 11, 2022; founder Sam Bankman-Fried was sentenced to 25 years in prison on March 28, 2024, and a forfeiture order of $11 billion was imposed.

These two examples showed that custody and governance risk in centralized structures is not a theoretical issue, but a practical one. On the DEX side, however, there are different risks such as user mistakes, malicious smart contract code, bridge risk and irreversible transactions.

Which model may be better in which case?

  • For beginners and users who want fast order management, a CEX interface may be more practical; however, counterparty and custody risk should be assessed carefully.
  • For those who prioritize control of their own wallet, a DEX may be more suitable; however, network fees, slippage and smart contract risk should be taken into account.
  • Those considering liquidity provision should analyze the potential for impermanent loss alongside fee income.

In the end, the right choice depends less on one model being absolutely superior and more on the user's risk appetite and trading goal. In crypto markets, the most important question remains the same: Who really controls the assets, and where is the risk accumulating?

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