Practice Trader Rules Explanation

A Practice Trader is a strategy learning role within AI Stock Hub, mainly using AI Strategy Positions to learn AI-powered U.S. stock trading logic.

After becoming a Practice Trader, the user needs to complete strategy configuration according to the page instructions, which usually includes:

Participation tier
Trading asset
Trading direction
Leverage multiple

After the user completes the configuration, the AI system will automatically complete strategy analysis and execution based on the user’s configuration, and calculate the AI Strategy Position result according to market changes.

Practice Traders do not need to monitor the market manually and cannot actively operate the AI Strategy Position.

An AI Strategy Position is a system-managed calculated position used by Practice Traders to learn trading logic.

The AI Strategy Position is analyzed and executed by the AI system based on the user’s configuration. It is mainly used to help users understand:

How trading direction affects results
How leverage affects profit and loss changes
How take-profit and stop-loss are triggered
How risk boundaries are executed
How U.S. stock positions are distributed after the strategy target is reached

The AI Strategy Position is not designed for users to trade manually. Instead, it is managed and executed by the AI system to help users learn trading logic, risk boundaries, and the U.S. stock position distribution mechanism.

AI Strategy Positions use a system-managed calculation model.

After the user completes the strategy configuration, the system will automatically execute the strategy logic. Users cannot actively operate the strategy position.

Users cannot perform the following actions:

Open or close positions manually
Modify take-profit or stop-loss settings
Increase or reduce positions
Adjust margin
Manually interfere with strategy execution results

The result of the AI Strategy Position is automatically calculated by the system based on the user’s configuration, market changes, and platform rules.

The profit and loss result of an AI Strategy Position is related to the user’s participation principal, leverage multiple, and the price movement of the trading asset.

Calculation formula:

AI Strategy Position P&L = Participation Principal × Leverage Multiple × Asset Price Movement

The asset price movement is calculated up to a maximum of 1%.

In other words, the AI Strategy Position calculates the profit and loss result based on the asset price movement within a maximum range of 1%, combined with the user’s corresponding leverage multiple.

The leverage permission of an AI Strategy Position is mainly determined by the user’s M Level or the amount of locked xStocks.

The system will compare the user’s current M Level and locked xStocks status, and apply the higher permission as the final available leverage.

The higher the M Level, the higher the available strategy leverage.
Within the same price movement range, the AI Strategy Position may generate a higher profit or loss amount.

After an AI Strategy Position runs, there are mainly two possible results:

When the AI Strategy Position reaches the profit target set by the system, the Practice Trader may receive the corresponding position return.

The U.S. stock position corresponding to the return will be distributed according to the 50% / 50% rule:

Practice Trader receives 50% of the U.S. stock position
Corresponding Advanced Learner receives 50% of the U.S. stock position

Examples:

If the AI Strategy Position generates a 20U profit, 10U will be unlocked as the Practice Trader’s U.S. stock position, and the other 10U will be distributed to the corresponding Advanced Learner as a U.S. stock position.
If the AI Strategy Position generates a 100U profit, 50U will be unlocked as the Practice Trader’s U.S. stock position, and the other 50U will be distributed to the corresponding Advanced Learner as a U.S. stock position.
If the AI Strategy Position generates a 220U profit, 110U will be unlocked as the Practice Trader’s U.S. stock position, and the other 110U will be distributed to the corresponding Advanced Learner as a U.S. stock position.

The specific unlocking, distribution, and usage rules of U.S. stock positions shall be subject to the project page and actual system settlement.

When the AI Strategy Position triggers the risk boundary, the system will automatically close the position and return the user’s corresponding participation principal according to the rules.

After the risk boundary is triggered, no U.S. stock position will be unlocked.

Assume a user selects the 1000U tier and enters AI Strategy Position learning.

M0 corresponds to 2X leverage.

When the asset price moves 1% in the selected direction:

1000U × 2X × 1% = 20U

The AI Strategy Position profit is 20U.

At this point, if the system profit target is reached, the Practice Trader may receive a 20U position return. The U.S. stock position corresponding to the return will be distributed according to the rules:

Practice Trader receives a 10U U.S. stock position
Corresponding Advanced Learner receives a 10U U.S. stock position

When the asset price moves 1% against the selected direction:

1000U × 2X × 1% = -20U

The AI Strategy Position loss is 20U. If the risk boundary is triggered, the system will automatically close the position, return the user’s 1000U principal, and no U.S. stock position will be unlocked.

M10 corresponds to 22X leverage.

When the asset price moves 1% in the selected direction:

1000U × 22X × 1% = 220U

The AI Strategy Position profit is 220U.

At this point, if the system profit target is reached, the Practice Trader may receive a 220U position return. The U.S. stock position corresponding to the return will be distributed according to the rules:

Practice Trader receives a 110U U.S. stock position
Corresponding Advanced Learner receives a 110U U.S. stock position

When the asset price moves 1% against the selected direction:

1000U × 22X × 1% = -220U

The AI Strategy Position loss is 220U. If the risk boundary is triggered, the system will automatically close the position, return the user’s 1000U principal, and no U.S. stock position will be unlocked.

A U.S. stock position is a U.S. stock trading experience position distributed to the Practice Trader and the corresponding Advanced Learner after the AI Strategy Position reaches the target according to the rules.

U.S. stock positions are used to help users further understand:

U.S. stock trading scenarios
Real market rhythm
Position change results
U.S. stock market fluctuations
AI market analysis as an auxiliary reference

After entering real matching, users can experience U.S. stock trading scenarios normally.

U.S. stock positions support the following operations:

Increase position
Reduce position
Increase margin
Reduce margin

Each U.S. stock position can only be opened once.
U.S. stock positions are used in order, and the next position can only be used after the previous one ends.
After the position is closed, the corresponding U.S. stock position principal will be recovered by the system.

When a U.S. stock position generates profit, the profit portion will be distributed according to the following proportions:

Notes:

Profit distribution only occurs when the U.S. stock position generates profit.
If the U.S. stock position does not generate profit, no corresponding distribution will occur.
After the U.S. stock position principal is closed, it will be recovered by the system.

Assume a user receives a 110U U.S. stock position and uses it for U.S. stock trading.

If the position generates a 1000U profit after closing, the profit portion will be distributed as follows:

User receives:

1000U × 50% = 500U

Platform receives:

1000U × 20% = 200U

Contribution Pool:

1000U × 30% = 300U

Final result:

User receives 500U profit
Platform receives 200U
Contribution Pool receives 300U

If the U.S. stock position incurs a loss, no profit distribution will occur. After the corresponding U.S. stock position ends, the position will be consumed according to the rules and cannot be reused.

Note:
Whether the U.S. stock position is received by a Practice Trader or an Advanced Learner, as long as the U.S. stock position generates profit, the profit portion will be distributed according to the User 50%, Platform 20%, Contribution Pool 30% rule.

The core of the Practice Trader path is to help users learn trading logic through AI Strategy Positions and obtain U.S. stock position experience according to the rules after the strategy target is reached.

Users can use this path to understand:

How to choose a trading direction
How to understand leverage impact
How to understand take-profit and stop-loss
How to understand risk boundaries
How U.S. stock positions are distributed after strategy profits are generated
How to combine AI market analysis to understand U.S. stock trading rhythm

AI market analysis, AI Strategy Position learning, and U.S. stock position experience are only used as learning and auxiliary understanding tools. They do not constitute any investment advice or income commitment.

Rules related to AI Strategy Positions, U.S. stock positions, profit targets, risk boundaries, distribution conditions, and settlement methods shall be subject to the platform page and actual system settlement.

After the strategy target is reached, U.S. stock positions will be distributed between the Practice Trader and the corresponding Advanced Learner according to the rules. The specific distribution results, usage conditions, and settlement results shall be subject to the platform page and actual system execution results.

Market conditions may fluctuate, and trading learning and market experience involve risks. Please participate rationally according to your own situation.