# Token Economy Simulations

The token-based economic structure of the product or tokenomics takes a revolutionary stance, distinguishing itself from the direct competition and other economy-focused decentralized applications available on the market. The innovative approach we use in this product focuses on meticulous prediction and equilibrium of the tokenomics through the implementation of these pioneering strategies:

1. **Proprietary Local DEX**\
   This unique feature enables the execution of multifaceted scenario simulations spanning thousands of days to study token price trajectories within diverse and mutable market conditions.
2. **User Behavioral Analysis System**\
   This advanced system ingests user behavioral profiles, thereby forecasting the token selling pressure while considering prevalent user behavioral patterns. These behavioral profiles are an outcome of a comprehensive fintech market analysis based on publicly available reports provided by various prominent analytical companies and agencies. This analysis encompasses factors like generational trends, user categories, age demographics, economic status, user objectives, and numerous other parameters.
3. **User Behavior Simulation System**\
   Leveraging the input from behavioral profiles, tokenomics, and the local DEX system, this complex system predicts token evolution with a granular focus on the provided key data components.

The projection for each distinct forecast ranges between **1 and 12 years**, providing critical insights into the potential weak points within tokenomics. These insights enabled the team to iteratively address these weak points by refining the mathematical and logical models of the system.

The resulting economy model has passed thousands of aforementioned simulations, each with the aim of getting closer to achieving a state of sustainable long-term game economy. All final system variables were tested in three different scenario types (Negative, Average, and Positive) to make sure Pearl Diver’s economy can withstand the most dire market conditions.

Below you can find the detailed simulation results (projections) of PEARL token metrics for each scenario type and assess the strategic perspective of Pearl Diver’s economy sustainability score over time.

## Simulation Scenarios

### Positive Scenario

<figure><img src="https://lh4.googleusercontent.com/YGbI7N5dESy45Tan5XTNZU-cOlmO0VjMxjgwVryudY37L4GKei8_8X00X4dl8zrLCgVivzMMCQ9sIcZanBF5dYuv5SBSwyf18T5evAFpxC9Hp51HoP-z6_0XVfcORB4xRkjiYnuRJAQiyoiAMZVOgtY" alt=""><figcaption></figcaption></figure>

<figure><img src="https://lh4.googleusercontent.com/nMFsZ9nPgQZyBQOKP4iPbefvi6F6ZBAdQpEAri4Yi1gOwFeK3CD1UiMS3RCFNc5QQCRFfXsQaxasa-54wvRqPHSVwIHGp7nlsITY836kpbElcE85WMoliDahjNO04_MhDP-nMxJmMDWqpe2njOIJ2Fk" alt=""><figcaption></figcaption></figure>

This scenario incorporates a sophisticated logic framework postulating a substantial demand for the token, with an absence of aggressive market sell pressure. In this particular model, users aren't centered on the impulsive trading of their tokens on the DEX. Instead, their focus is on minting value-rich NFTs to actively engage in the game. The gameplay instigates thoughtful decision-making and patience, motivating players to concentrate on creating high-value NFTs rather than merely anticipating a surge in token prices. This refined player behavior introduces a level of stability and fosters possibilities.

### Average Scenario

<figure><img src="https://lh4.googleusercontent.com/5v3voY0gqFGW-mM8Dfi0FVGblXy3G3NNLHEfoVC9fWi1MAPakpzH78-82dUcEKnUuJCeHJJperHNwl4J0X5amA2uqW-7RLACEo-tVS_PWm0vuUv7JE1OPxXfe84WZlYUEIVDSxoaTz5QeZAvlGyi70g" alt=""><figcaption></figcaption></figure>

<figure><img src="https://lh4.googleusercontent.com/CFAAPKpQDIQXNQKU5ZKdRFMc0_88e5iqFA887UaOM0FMR2qV3as8Jjl4bX1Ov_RhZM8EPo-Eg_pn43mLlYZ8xzOlE1nHO0E5pInf5NaIlgo_qD-ccldqT-Kc4G5Rw31CcOMv0lRwmLxu5jph9qm4v5o" alt=""><figcaption></figcaption></figure>

<br>

This scenario integrates a premise where the token demand is projected to be fairly moderate, with user objectives exhibiting significant heterogeneity. This diversity in user goals culminates in certain users exhibiting more aggressive selling behaviors on the DEX, thereby inhibiting other users from securing profitable market exits.

<br>

### Negative Scenario

<figure><img src="https://lh3.googleusercontent.com/XbHG5iQ5YkhxyO12LBFow_PfGdpqUcw9NGo5NKbovCvGASx7GdakD_jWeKzJX4e_SvkXTdO8Xxph0YjJJPsLDrKmSFDzu1FsI8DgAfWIWDF4POXPgpVCAuo-FvIvYvmxNJo-Higj9YtNjNblG5OuruA" alt=""><figcaption></figcaption></figure>

<figure><img src="https://lh4.googleusercontent.com/16e7o0EqHK4-gXgB3UL4durJp60lGJYUu3bxAS9Pi1JIpix13dEry3LV1LDo6C6gmyZVwewOarrX4cw1R8jGyZ0JPdA8_vzMnFqNsscTfjzNvXVj5bG-my78KcIfspYrTolmNzmxDLAHvZdgy3zhtb0" alt=""><figcaption></figcaption></figure>

<br>

This scenario encapsulates the prospect that the initial demand for tokens may be notably low (e.g. performing in the middle of bear market). Simultaneously, it anticipates a form of categorically adverse user behavior. These users, despite witnessing a steep decline in the token price and subsequent user loss, proceed to liquidate their entire token allocation received from the project.

This action, intriguingly, is undertaken notwithstanding its subsequent implications, which invariably result in financial setbacks for these adverse users themselves. This model underscores the profound complexity and potential unpredictability that lies within user behavior and its cascading effects on the token's performance.

### Legend

| ![](https://lh4.googleusercontent.com/RRSOUcRmyUZB_5MtrFRLXo_jKVb5qq5RpdxglIz7KaGM8mG-pFczapI21ncQ7zURMSbZxWjefEZU73HQcAikQQKT71Ghwqz2NcHBsH6rhjDuC7hYRiOWGbPXJphIg6waWuuu-32X4fDrpzS50F9IQDc) | <ul><li>Red line represents the price projection after users sold their earned tokens</li><li>White line represents the price after the buyback system stabilizes the price of the token on DEX</li></ul>                                                                                                                                      |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| ![](https://lh5.googleusercontent.com/CyEfrbBTJIBb3erp9-FRk7Sjwc7AV6jSBilh2peCPDnAmq193sTaKiQvmB_mWeC8NPCPpJ5JngmsBJIetcJGCOSiQRqR2reCWAzbvn8nTsCmkcEWZyDiJ0W4a2AaOm-6e7cQAE79PgScJ6HPAybT-Uo) | <ul><li>Red line represents the amount of tokens that should be distributed at the moment of time</li><li>The yellow line reflects the state of the system fund, which depends on the sales of the token</li><li>The purple line reflects the state of the buyback fund</li><li>The green line reflects the total circulating supply</li></ul> |
| ![](https://lh4.googleusercontent.com/UBY9DdUazzt01ECWXSh-a0gaKa0HFfvr84XitvtDmfpvv7sah6BkDZe8rzomZIZZQ27fbdgI69agpbc1itt7c-j7ZmIBopeoHQu4TYxCEvzu_PLAt-Xrx8WnRlbUpxPRidAVaoTNO1uDKBYH6To0CeI) | <ul><li>Each line reflects a group of users based on their goals, strategies and behavior patterns.</li><li>The height of the line reflects the state of accumulation of tokens of each individual user.</li></ul>                                                                                                                             |
| ![](https://lh4.googleusercontent.com/5MyObLn_cOvmUsHP0mBpllQJR-IO6tNfw1SJ1MJjSIASEUykzHA2XkWtneASh-ncGhUR7cRplZ_DfsCzZq5tJOyLk1fL2P49wWX_dIaXwcWlVc83bc9E46420CGPMo9xqXrFV_c8VuXkU617F9Y3EzM) | <ul><li>Each line reflects a group of users based on their goals, strategies and behavior patterns.</li></ul>                                                                                                                                                                                                                                  |

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