Trading Game Simulation Using Incremental Card Revelation
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Solution Overview
Problem
Existing market trading simulations lack realism, flexibility, and educational value, as they often restrict bidding and reveal strategies, leading to unrealistic market scenarios and limited player interaction.
Innovation Solution
A market trading simulation that employs a deck of cards to represent market-affecting events, allowing incremental revelation of items and unrestricted bidding, with a starting price that avoids negative prices, enabling advanced probability-based strategies and realistic market simulation across various ability levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single pool of market-affecting items is used with random distribution, then the simulation achieves simplicity and probability-based strategies, but the market activity becomes less realistic and flexible
Solution Approach 1:
The single pool of market-affecting items is segmented into multiple decks, with each deck representing a different market segment or asset class. This segmentation allows for more realistic and flexible market activity while maintaining the probability-based strategy framework. Each deck can be distributed independently to players, enabling diverse market scenarios.
Solution Approach 2:
The simulation introduces dynamic elements by allowing players to actively select and distribute market-affecting items from the pools during the game. This dynamic interaction enables players to shape market activity in real-time, increasing realism and flexibility while maintaining the structured probability-based approach.
2Loss of information
If items are incrementally revealed with rounds of the simulation, then advanced probability-based strategies are enabled, but the trading flexibility and unrestricted bidding are reduced
Solution Approach 1:
Market-affecting items are prepared and distributed in advance to players before the trading rounds begin. This preliminary action allows players to hold information about market conditions while maintaining the ability to bid freely during the simulation. The incremental revelation of items is combined with pre-distribution, enabling both strategic planning and operational flexibility.
3Object-affected harmful factors
If a starting price is set to avoid negative prices, then realism and simplicity are improved, but the ability to simulate full market volatility is limited
Solution Approach 1:
The simulation uses parameter changes by allowing the starting price to be adjusted based on the specific market being simulated. The price modification mechanism incorporates both positive and negative adjustments through the market-affecting items, enabling the simulation of full market volatility while avoiding negative prices through controlled parameter changes. The starting price and subsequent modifications are dynamically adjusted to reflect real market conditions.
Data Source
AI summary
A trading simulation game that emulates the roles of market makers and traders involved in the securities market. The simulation allows for random market activity by specifying a starting market price and employing a subset of a pool of market-affecting items to modify the starting price and determine the final game price. Items in the subset are incrementally revealed to simulation participants during play, and designated participants may make the first offer to trade. All participants simultaneously make and accept offers to buy and sell the simulated security without restriction, based on the public and private information they have and their dynamic estimates of the final game price. Trades are tracked, and they are settled at the final game price when all items are revealed. The use of a subset of a pool of market-affecting items allows for probability-based strategy similar to popular card games like blackjack and poker.