🎯Paal AI Sniper

Overview

The Paal AI Sniper leverages Paal's exclusive AI technology to identify, assess, and suggest emerging tokens with growth potential. It relies on two main data sources for recommendations: Blockchain and Social data. Through rule sets and dynamic real-time data parameters, the AI conducts thorough analyses on both blockchain and social data, constantly refining its strategies. By learning from these inputs and results, the AI enhances its buying recommendations progressively.

Data Sources

• Blockchain Data

  • Scanning for newly listed token pairs.

  • Verifying if social media links are updated on platforms like Dexscreener, Dextools, CoinGecko, etc.

  • Assessing the status of liquidity (burned/locked).

  • Evaluating the amount in the liquidity pool.

  • Counting the number of holders.

  • Measuring the distribution among holders.

  These data points contribute to calculating a Blockchain Score, which is then evaluated against a predefined threshold.

• Social Data

  • Text analysis of the project’s website using AI technologies.

  • Visual analysis of the project's website.

  • Statistical data and sentiment analysis from the project’s social media presence.

  • Influencer interaction and sentiment analysis on social media platforms.

  These data points contribute to calculating a Social Score, which is then evaluated against a predefined threshold.

Machine Learning Integration The Paal AI Sniper uses machine learning to learn from successful tokens that were previously alerted by the system. By analyzing the patterns and characteristics of these successful tokens, the AI continuously improves its predictive models. This learning process allows the AI to enhance its accuracy and effectiveness in identifying and recommending promising tokens over time.

Decision Process The AI system combines the Blockchain Score and Social Score. If both scores exceed their respective thresholds, the AI triggers a buy recommendation, suggesting the purchase of a specified amount of the token.

Continuous Improvement The Paal AI Sniper continually refines its analysis and recommendations by learning from new data inputs and the outcomes of its previous recommendations. This iterative process helps in enhancing the accuracy and effectiveness of its token buying strategies, ensuring that the system adapts to the ever-evolving cryptocurrency market.

Sniper Models

• AI Model: Px1_sol

  • Description: ⚡️Quick Flip⚡️ This model uses an advanced combination of Machine Learning, Filters, and Definitions to predict new Solana coins with the highest growth potential within 60 minutes of pool creation.

  • Trading Strategy: ⚡️Quick Flip⚡️ Buy within the first few minutes of alert; monitor and sell within ~15 minutes to 60 minutes for profits. Auto-sell bots are best for this model.

  • Warning:

    • ⚠️ WARNING: as a Quick Flip model, it’s designed to predict coins that will grow and not rug within the first 60 minutes of launch. Most of the coins predicted by this model rug after that.

    • ⚠️ The model can make mistakes.

    • ⚠️ Trade at your own risk. Do your own due diligence. Trade only what you can afford to lose.

  • Delivery Method: DM via PaalSniperBot

  • Frequency: Daily

  • Price: $300.00 / month

  • Action: Visit sniper.paal.ai to subscribe!