# Toxic Flow Related Articles

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The Advancing MM 1: Market Maker Inventory Quoting System

The article "Advancing MM 1: Market Maker Inventory Quoting System" explains why retail traders often experience price movements against their positions after buying altcoins. It argues this is not due to market manipulation but is a result of automated market maker (MM) systems responding to inventory risk and toxic order flow. When traders place large buy orders, MMs sell inventory, creating a short exposure. To mitigate this risk, MMs adjust their pricing using the Avellaneda-Stoikov model. They skew quotes lower to attract sellers and widen spreads to reduce transaction probability, aiming to return inventory to a balanced state while protecting against adverse selection. The reservation price, central to this model, is calculated as the mid-price adjusted by inventory levels and risk aversion. The article notes that retail traders are particularly affected because their orders are often large, concentrated, and not hedged—especially in low-liquidity altcoins. A suggested strategy for traders is to break large orders into smaller, less detectable increments, allowing them to buy at progressively better prices as the MM’s quoting system reacts. The post teasers follow-up articles on order book dynamics and toxic flow.

marsbit12/28 04:18

The Advancing MM 1: Market Maker Inventory Quoting System

marsbit12/28 04:18

Advancing MM 1: Market Maker Inventory Quoting System

"Attack of the MM 1: Market Maker Inventory Quoting System" by Dave explores why altcoin prices often move against retail traders immediately after their purchases, debunking the myth of intentional manipulation by "market manipulators." The article explains that this phenomenon is not due to malicious intent but is a result of automated market maker (MM) systems using the Avellaneda-Stoikov model for inventory-based pricing and protection against toxic order flow. When retail traders execute large buy orders, MMs sell, leading to a short inventory exposure. To mitigate risk, MMs adjust their strategies in two ways: 1. **Quote Skew**: They lower prices to attract sellers and discourage further buys, aiming to replenish inventory and protect their short position. 2. **Spread Widening**: They widen bid-ask spreads to reduce transaction probability and earn more spread profit to offset potential losses. The core mechanism involves the "Reservation Price," calculated as Mid Price − γ⋅q (where q is inventory and γ is risk aversion). Large retail orders disrupt inventory balance, causing MMs to adjust prices dynamically. Retail traders often face this due to their concentrated, unconcealed, and unhedged orders, especially in low-liquidity altcoins where their trades significantly impact pricing. The article concludes with a practical tip: instead of executing large orders at once, retail traders can break them into smaller, staggered orders to exploit MM pricing adjustments, achieving better average entry prices. A follow-up will discuss toxic order flow and order book dynamics.

深潮12/28 04:12

Advancing MM 1: Market Maker Inventory Quoting System

深潮12/28 04:12

Attack on MM 2: Market Maker Order Book and Order Flow

"Attack of the MM 2: Market Maker Order Books and Order Flow" by Dave explores the dynamics of market making in crypto, focusing on the Limit Order Book (LOB) and order flow. The LOB is the market maker's battlefield, defined by depth, tick size, and the concept of price improvement—providing better prices than the current best bid/ask to create market value. Market makers profit from the bid-ask spread, which covers order processing costs, inventory risk (holding assets amid price fluctuations), and adverse selection risk (being exploited by informed "toxic" traders). The spread types include quoted, effective, and realized spread, with the latter factoring in future mid-prices to measure true profitability. Order flow involves managing incoming trades, with a focus on identifying "toxic flow" from informed traders who can cause losses. Market makers use metrics like VPIN (Volume-weighted Probability of Informed Trading) to detect one-sided pressure and respond by pulling quotes, widening spreads, or reducing order sizes to mitigate risk. The article hints at deeper institutional strategies in future installments.

深潮12/28 04:03

Attack on MM 2: Market Maker Order Book and Order Flow

深潮12/28 04:03

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