F25-Mini-Stocks
Unverified Other strategy on Indices by MichiganDataScienceTeam. BotFinder score 18 out of 100.
High frequency trading from scratch
Source: github
BotFinder analysis pending.
F25-Mini-Stocks
Mini-Stocks, Fall 2025 This was an experimental project that implemented a stock exchange simulation from scratch and used it to host educational trading competitions. Structure Note: This section is a modification of text that was originally in the project documentation. Overview The simulation design can be briefly summarized with the following diagram There are 4 core functional components: Trading Agents: Processes market data and submits order requests Broker: Tracks the account states (cash, position) of each agent and validates order requests Matching Engine: Manages the order books and executes orders Simulation NOTE: Due to time constraints, a limited version of this design that uses exactly one order book is implemented. Trading Agents Trading agents are the most flexible component of the market. There are, however, a few properties of trading agents that this project enforces: Uniqueness Can access information about every resting order Can access information about its own account state Can request any number of any type of order Enforcement of these properties is through t
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