Day Trader Tycoon Integrates Real-Time Trading

The software includes confirmation mechanisms, safety limits, and continuous real-time monitoring to manage the risks associated with live trading.

The game is developed in C++ using the STL3 Metal framework, tailored for execution on Mac devices, providing a robust and performant foundation.

Opus 5.5 was utilized to define the game's style and economic complexity, drawing inspiration from the Open RollerCoaster Tycoon project for its aesthetic and economic gameplay loop.

This selection provides flexibility for players to engage with the game at different levels of real-world market exposure and connectivity.

Players begin the game with basic equipment in a basement office setup, equipped only with a trading laptop.

To access more complex trading assets, such as equities, players must construct specific office infrastructure like a multi-monitor rig, making asset building and placement a core loop for unlocking advanced gameplay options.

Players can trade a diverse range of assets, including stocks like Micro Strategy and Netflix, and engage in prediction markets by betting on future events such as crude oil prices.

As players' funds expand, client management becomes available, enabling external investors to contribute capital to the user's trading fund.

The game demonstrates opening a Bitcoin position with 5x margin and a 2,000 unit size, allowing players to set stop-loss (e.g., 5%) and take-profit (e.g., 20%) parameters.

Opening positions contributes to character progression, as shown by leveling up to an 'intern' status, with charisma identified as a valuable stat for future advancement within the game.

The game features realistic metrics, including maximum drawdown and funding returns, to mirror real economic trading experiences.

Opus 5.5 was employed to conduct extensive simulations, ensuring that the in-game market behavior accurately replicates real-world conditions, further enhanced by a news terminal that streams rumors and economic indicators such as treasury yields.

Players can adjust game speed to 3x or 5x, accelerating the pace of trading and market developments within the simulation.

The entire game structure and mechanics, including advanced save features, were built using C++ generated by Opus 5.5, enabling the creation of multiple specialized departments such as crypto, macro, equities, and risk desks within a larger office.

Players can manage staff, hiring traders and risk managers like Ivonne, to enhance their firm's capabilities and benefit from synergies that provide bonuses such as +3 basis points edge and 2x rebalancing efficiency.

Leaderboards track competition among firms with multi-million dollar portfolios, reflecting the progress and success of top players.

Players who reach level 10, designated as a senior trader, unlock the ability to place larger trades with increased leverage, specifically 40x equity leverage for Bitcoin trading.

The game also introduces a hiring screen for staff and various system upgrades, alongside goal-based challenges such as achieving millionaire status and winning Polymarket bets.

The game incorporates a binary booth for 5-minute up/down market bets and successfully links Hyperliquid and Polymarket accounts, centralizing multiple trading platforms into a unified in-game interface.

Expanded asset support now includes equities such as Nvidia, Google, and Tesla, alongside commodities like Brent crude and major indices like the S&P 500, offering a wider range of trading opportunities.

This setup allows users to manage diverse broker accounts and platforms directly from the game, streamlining their trading experience.

A new feature proposes allowing low-level players (level 2 and above) to acquire an AI agent system for 3,000 in-game currency, which autonomously executes trades by reading news updates.

The developer utilizes Opus 5.5 to implement and test this feature, including the AI taking screenshots to verify its functionality, thereby reducing the manual burden on players in the early stages of the game.

The developer employs Opus to conduct thousands of simulation days, involving eight AI agents managing a 4,000 balance over 30 market days, to meticulously balance the game mechanics.

This extensive simulation process aims for a 52% win rate to ensure fair gameplay and effectively identifies bugs while fine-tuning the AI agents' decision-making logic.

AI agents read real-time news and adhere to predefined rules to unlock specific markets for trading, with users able to set risk levels, such as 'aggressive risk,' to influence trading behavior.

The interface includes a thinking log that provides users with insights into the AI's reasoning process, demonstrating how the AI successfully identified a market signal for Bitcoin accumulation and executed a 5x long position.

This transparency allows players to understand the agent's decisions and adjust settings as needed.

The developer created the AI trading agent feature in approximately 20 minutes, highlighting the rapid development cycle possible with AI assistance.

The entire game is written in C++ and its assets were generated using Opus, demonstrating that AI can facilitate the creation of complex, non-web-based games from scratch.

The developer is considering open-sourcing the project or releasing it on Steam if the video gains sufficient engagement, using this project as a direct rebuttal to skepticism about AI's impact on game development.