Is your feature request related to a problem? Please describe.
Develop an RL agent to act as a market maker, providing liquidity and optimizing bid-ask spreads in financial markets.
Describe the solution you'd like
Steps:
Environment Design: Create a simulation of market making with order book dynamics.
State Representation: Include order book data, trade volumes, and market trends.
Reward Function: Reward for maintaining liquidity, minimizing inventory risk, and earning spreads.
Training the Model: Train the RL agent to manage bid-ask spreads and inventory effectively.
Is your feature request related to a problem? Please describe. Develop an RL agent to act as a market maker, providing liquidity and optimizing bid-ask spreads in financial markets.
Describe the solution you'd like Steps: Environment Design: Create a simulation of market making with order book dynamics. State Representation: Include order book data, trade volumes, and market trends. Reward Function: Reward for maintaining liquidity, minimizing inventory risk, and earning spreads. Training the Model: Train the RL agent to manage bid-ask spreads and inventory effectively.