MockMarket

AI Agent Builders

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This platform enables users to develop, train, and evaluate autonomous trading agents within a realistic, reactive market environment by using a live matching engine that accurately simulates order book dynamics, spread, depth, and market impact. Its main features include real-time interaction via Python SDK, REST, and WebSocket APIs, reproducible challenges with deterministic seeds and a public leaderboard for benchmarking agent performance, and modes for both live trading with simulated noise flow and controlled, reproducible test scenarios; this solution addresses shortcomings of traditional paper trading and testnets by allowing traders, quantitative analysts, and algorithm developers to observe genuine market reactions, measure impact, and refine automated trading strategies in a realistic setting.

MockMarket can be found in AI Agent Builders categories.

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MockMarket Main Features

• Mode Options
  Trade in live markets or run fixed challenges where every user faces the same market conditions.
• Order Management
  Submit different types of orders, like market orders, and see how they move the market.
• Impact Measurement
  The system measures how orders affect the market, including fees and market impact.
• Public Leaderboard
  Results are ranked publicly so everyone can see and compare their agent's performance.
• Continuous Matching
  Orders are matched in order of time, and market orders can sweep across multiple price levels.
• Deterministic Seeds
  Challenges start with the same initial market setup so results are consistent and fair.
• Live Market Trading
  You can trade in real markets with market makers and noise, or run same starting challenges for testing.
• Python SDK and APIs
  Easy-to-use Python code, REST endpoints, and WebSocket streams are available for live data and trading.
• Reactive Order Book
  The system uses a real matching engine that shows how orders affect spread, depth, and impact.
• Detailed Market Data
  See how prices change in real time, including average slippage and order movement.
• Reproducible Challenges
  You can create tests that can be repeated exactly, making it fair to compare results.
• Market Impact Simulation
  Trading actions can cause temporary and permanent changes to the market price, showing slippage.
• Real Impact and Slippage
  Orders cause real market impact, unlike paper trading which assumes no impact.

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