🎯Paal AI Sniper

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: Px

• 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.

AI Model: Tx

• Description: 📈 Trending Coins 📈 This model leverages advanced AI agents to continuously track popular coins, assess their performance, and perform in-depth technical analysis to discover trading prospects.

• Trading Strategy: 📈 Trending Coins 📈 The model analyzes transaction data to identify high-potential trading opportunities. It is designed for short to medium-term trades, depending on the identified trends and signals.

• Warning:

  • ⚠️ WARNING: The model can make mistakes.

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

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Adjusting Models and Parameters

The PaalSniperBot interface allows users to configure and adjust models and parameters easily. Users can turn alerts on or off for different models, set alert intervals, and apply various filters. Below are the provided screenshots to illustrate the settings and adjustments:

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Example Analysis: $NEILUO

The following is a detailed analysis example for the token $NEILUO, provided to illustrate how alerts are shared and what information is included:

plaintextCopy code### Technical Analysis of $NEILUO (5-Minute Candles)

#### Price Action and Chart Patterns
The price action shows a significant spike starting on 7/28 around 18:00, reaching a peak near 8.0e-4 before a sharp decline. The price has since consolidated around the 2.4e-4 level. The volume trends suggest high trading activity during the initial spike and subsequent phases of the decline.

#### Volume Trends
- There is an initial surge in volume corresponding with the price spike.
- Volume tapers off with some sporadic spikes, especially during the declines and minor retracements.

#### Price Movements and Volatility
The asset has experienced high volatility with a rapid rise followed by a steep decline and then consolidation. This indicates significant speculative interest and potential for future volatility.

#### Support and Resistance Levels
- **Resistance Level:** The resistance level is observed at around 4.0e-4, corresponding to a minor peak during the decline.
- **Support Level:** The support level appears to be at approximately 2.0e-4, where the price has shown some stability and consolidation.

#### RSI (Relative Strength Index)
- The RSI is currently around 60.45, which indicates the asset is not overbought or oversold. RSI shows that there has been recent buying interest.

#### MACD (Moving Average Convergence Divergence)
- The MACD histogram suggests bullish momentum with the MACD line over the signal line, indicating potential upward movement.

#### Candlestick Patterns
- Most recent candles suggest consolidation with minor bullish signs as trading has stabilized and is attempting an upward movement.

### Trading Recommendation
#### Recommendation: **Buy**

#### Rationale:
1. **Entry Level**: 
   - Suggested entry at **2.4e-4** or lower, considering it is toward the lower end of the current consolidation range.
    
2. **Exit Levels**:
   - First target at **4.0e-4** (near the identified resistance level).
   - Secondary target at **5.0e-4** if bullish momentum continues.

3. **Stop-Loss Level**:
   - Suggested stop-loss at **1.8e-4**, slightly below the support level to manage downside risk.

#### Detailed Rationale:
- The consolidation near a support level and an RSI that is neutral suggest limited downside risk.
- MACD indicates potential bullish momentum, supporting a buy strategy.
- The entry at or around the current price level allows for a favorable risk-reward ratio with a stop-loss just below the support, and the potential for significant upside gains.

By closely monitoring, traders can manage their positions and reassess as price approaches resistance levels and as market conditions change.

Delivery Method

• Method: DM via PaalSniperBot

• Frequency: Daily

• Price: $300.00 / month

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

• Configure your alert preferences and start receiving real-time insights and recommendations

For further details, review the provided screenshots and analysis for comprehensive guidance on adjusting models and parameters.