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Case Study Earning $30,000 | Analysis of a Trading...

Case Study Earning $30,000 | Analysis of a Trading Position on Mantle (MNT) Using ASCN AI

08/10/2025

Case Study: Earning $30,000 | Analysis of a Trading Position on Mantle (MNT) Using ASCN V1.2

Trade Parameter

Value

Position Type

Long 5x

Entry Price

$1.87980

Exit Price

$2.34890

Realized Profit

+$29,479.01 USDT

ROI

124%


Background for Analysis

As part of the search for promising assets for medium-term trading, the user turned to the ASCN V1.2 tool for a comprehensive evaluation of the Mantle (MNT) token.

The goal of the analysis was to determine the optimal entry point and assess the growth potential

Methodology of Analysis via ASCN AI

Prompts and Requests Used:

To obtain objective analytics, the user simply asked for a trading setup for $MNT.

Results of ASCN AI Analysis

The system analyzed over 50 indicators, including on-chain metrics and market sentiment surrounding the token, and provided the following key data for the position:

Case Study Earning $30,000 | Analysis of a Trading Position on Mantle (MNT) Using ASCN AI

Later, the user decided to check the news background and on-chain activity related to the token

Case Study Earning $30,000 | Analysis of a Trading Position on Mantle (MNT) Using ASCN AI

During the Holding Period, the User Monitored:

  • Changes in trading volume and large wallet activity

  • News and updates from the Mantle team

  • General sentiment of the cryptocurrency market

  • Technical levels and indicators across various timeframes

The position was closed upon reaching the target level of $2.34890, which resulted in:

  • Profit: +$29,479.01 USDT

  • ROI: 124%

  • Holding Time: 3 days

  • Maximum Drawdown: -3.2%

    Case Study Earning $30,000 | Analysis of a Trading Position on Mantle (MNT) Using ASCN AI

The Success of This Case Was Due To:

  • Comprehensive analysis using ASCN AI, which provided an objective assessment based on more than 50 parameters

  • Accurate timing of entry based on technical signals

  • Effective risk management with clearly defined levels

  • Consideration of fundamental factors in the development of the Mantle ecosystem

This case confirms the effectiveness of a systematic approach to cryptocurrency asset analysis:

🔗 https://ascn.ai/ai/share/f48341dc-af1a-49c5-8733-6e61b8b93350

Key Takeaways:

  • Using AI-powered tools enables processing of large datasets and detection of non-obvious patterns

  • Combining technical and fundamental analysis increases forecast accuracy

  • Strict adherence to risk management rules is critical for long-term profitability

  • Monitoring large investor activity provides additional decision-making signals

Disclaimer:

This analysis is provided for educational purposes only and does not constitute financial or investment advice.

Trading cryptocurrencies involves high risk and may result in loss of capital

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