Despite its name, cryptocurrency market making is not without its problems. First and foremost, it requires liquidity. Without liquidity, the market cannot function properly. As a result, there is no proper volume to sustain price appreciation and the market is not healthy. Second, market makers may set wider bid-ask spreads to compensate for the lack of volume. In the long run, this increases their profit. Thirdly, it ensures greater liquidity for clients.

Volume is an ex-post metric that is easily manipulated. For example, if a market maker is motivated by volume, it may not provide consistent liquidity, which may worsen trading dynamics. Therefore, volume is also often faked by unethical market makers through wash trading, or creating and filling their own orders. In other words, it is not difficult to identify unethical market makers. Lastly, market makers may engage in damaging practices to boost their own profitability.

Citadel Securities is on the path to crypto market making, and Griffin shared his thoughts during an interview. He talked about how the Russian invasion of Ukraine was affecting the overall market temperature, and he even touched on how the crypto market is developing. These developments are promising for the future of cryptocurrency trading. And with more institutional money entering the crypto space, market makers will become more active. The industry is becoming more liquid than ever, and institutional investors will eventually come to the market to make money.

AMMs have been in use for years. Today, there are several different types of AMMs. Uniswap, for instance, employs the Constant Product Market Maker. This AMM represents the amount of one crypto-asset in the liquidity pool, and the other token has the same amount. The Constant Product Market Maker is another type of automated market maker that helps keep the market fluid. Furthermore, automated market makers help minimize losses caused by price fluctuations.

While trading volumes aren't nearly as high as they were during the early days of stocks, there are a few notable examples of quantitative firms that use the method. One of these is Atomic Fund, which quotes both bid and ask orders in a given order book, which improves trading volumes and decreases volatility. The algorithm is used to estimate price movements based on historical data. This allows for accurate predictions of future market volatility. It is also possible to use this algorithm to find the best trading times for cryptocurrencies, thereby maximizing profits.