Profit from the bid-ask spread by continuously providing liquidity on both sides.
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Overview
Market making is the practice of simultaneously placing both a bid (buy) order and an ask (sell) order slightly below and above the current market price, profiting from the difference between the two β the bid-ask spread. Professional market makers β designated by exchanges to maintain liquidity β are the most visible practitioners, but algorithmic retail market making has become viable on crypto exchanges with deep order books.
The fundamental profit mechanism is simple: if you buy at $100.00 and sell at $100.05, you earn $0.05 per unit regardless of the underlying asset's direction. The challenge is "inventory risk": if price trends strongly upward while you are holding sell orders, you accumulate a growing short position that loses more than your accumulated spread income.
Avellaneda-Stoikov optimal market making (a landmark 2008 academic paper) introduced the concept of a "reservation price" β the market maker should adjust their quotes based on their current inventory: if long too much, shift both bid and ask slightly downward to attract sellers; if short too much, shift upward to attract buyers. This asymmetric quoting prevents the inventory from drifting too far in one direction.
Effective market making requires: low latency execution (quotes must be updated faster than competitors), high liquidity instruments (wider spreads exist in thin markets), tight risk management (maximum inventory limits prevent catastrophic directional exposure), and careful fee optimisation (exchanges that pay "maker rebates" to liquidity providers are ideal targets).
In cryptocurrency markets, market making bots are especially popular on perpetual futures and spot pairs with high daily volume. The strategy is most effective during periods of low volatility when prices oscillate within a narrow range and the spread income exceeds directional risk.
Strategy Code
This is a TradingView Pine Script strategy example for this page concept. Paste it into the TradingView Pine Editor, add it to your chart, and run it in the Strategy Tester.
//@version=6
strategy("Market Making Strategy", overlay=true)
fastLen = input.int(20, "Fast Length")
slowLen = input.int(50, "Slow Length")
fast = ta.ema(close, fastLen)This is a thinkorswim ThinkScript strategy example for this page concept. Open thinkorswim, create a custom strategy, paste the script, and apply it to your chart.
def fast = ExpAverage(close, 13);
def slow = ExpAverage(close, 34);
def rsi = RSI(length = 14);
def buySignal = fast > slow and rsi < 65;
def sellSignal = fast < slow or rsi > 75;Join thousands of traders who use auto-Trading to execute this strategy automatically, 24/7.
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