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Automate market making on prediction markets by deploying two-sided post-only maker orders with dynamic inventory skew and volatility-adjusted spreads. The system recalculates quotes continuously using fair value, order book data, and recent volatility to provide liquidity on platforms like Polymarket and Kalshi.

Dynamic inventory skew is a risk management mechanism that automatically adjusts bid and ask quotes based on your current position levels. It shifts prices to discourage over-exposure by making buys cheaper or sells more expensive depending on your inventory, preventing concentrated risk in volatile prediction markets.

Yes, automated market making requires API keys for supported platforms like Polymarket or Kalshi, alongside real-time market data feeds. These inputs allow the system to calculate fair value, monitor order book depth, and execute post-only maker orders with integrated risk controls.

Volatility-adjusted spreads widen the difference between bid and ask orders in more volatile markets to compensate for increased price risk. The system analyzes recent market volatility and automatically recalculates quote widths, ensuring spreads remain sufficiently large to protect against adverse price movements.

Risk controls include maximum position limits and maximum loss limits to cap exposure during automated quoting. These integrated safeguards prevent over-allocation by automatically halting or adjusting order placement when predefined inventory or loss thresholds are reached.

Yes, the system fully automates two-sided quoting without manual intervention by placing and managing both bid and ask orders simultaneously. It continuously recalculates quotes based on fair value, order book data, and volatility, automatically adjusting for inventory skew and risk limits.