crypto__analysis_tasks.py

from crewai import Task
from textwrap import dedent

class CryptoAnalysisTasks:
    def market_research(self, agent, crypto):
        return Task(
            description=dedent(f"""
                Conduct comprehensive market research for {crypto} cryptocurrency.
                
                REQUIRED DATA POINTS:
                1. Current Price: Get exact current price in USD
                2. Market Cap: Current market capitalization 
                3. 24h Volume: Trading volume in last 24 hours
                4. Price Changes: 24h, 7d, and 30d percentage changes
                5. Market Dominance: Percentage of total crypto market
                6. News Analysis: 3-5 recent news headlines with impact assessment
                7. Competitive Analysis: Compare to Bitcoin and Ethereum
                8. Market Trends: Current market phase (bull/bear/sideways)
                
                FORMAT REQUIREMENTS:
                - Price: $X.XX (24h change: +/-X.X%)
                - Market Cap: $X.XB/M (Rank: #X)
                - Volume 24h: $X.XM (Volume/MCap ratio: X.X%)
                - 7d Change: +/-X.X%, 30d Change: +/-X.X%
                - Market Dominance: X.X% of total crypto market
                - News Impact: [List 3 key headlines with bullish/bearish/neutral impact]
                - Vs Bitcoin: Outperforming/Underperforming by X.X%
                - Vs Ethereum: Outperforming/Underperforming by X.X%
                - Market Phase: [Bull/Bear/Sideways] with reasoning
                
                ANALYSIS REQUIREMENTS:
                Provide detailed commentary on each metric and its significance for investment decisions.
            """),
            expected_output=f"Comprehensive market analysis report for {crypto} with all required data points and professional commentary",
            agent=agent
        )

    def technical_analysis(self, agent, crypto):
        return Task(
            description=dedent(f"""
                Perform detailed technical analysis for {crypto} cryptocurrency.
                
                REQUIRED TECHNICAL INDICATORS:
                1. RSI (14-day): Calculate current RSI and signal (Overbought >70, Oversold <30)
                2. Moving Averages: 7-day, 20-day, 50-day, and 200-day SMAs
                3. Trend Analysis: Current trend direction and strength
                4. Support/Resistance: Key price levels for entry/exit
                5. Volume Analysis: Volume trends and significance
                6. Momentum Indicators: MACD, Stochastic if available
                7. Chart Patterns: Identify any significant patterns
                8. Fibonacci Levels: Key retracement/extension levels
                
                FORMAT REQUIREMENTS:
                - RSI: X.X (Signal: Overbought/Oversold/Neutral)
                - 7-day MA: $X.XX, 20-day MA: $X.XX, 50-day MA: $X.XX
                - Trend: Bullish/Bearish/Sideways (Strength: Strong/Moderate/Weak)
                - Support: $X.XX, $X.XX | Resistance: $X.XX, $X.XX
                - Volume Trend: Increasing/Decreasing/Stable
                - Entry Points: $X.XX - $X.XX (Conservative: $X.XX)
                - Stop Loss: $X.XX | Take Profit: $X.XX
                - Pattern: [Head & Shoulders/Triangle/Wedge/None]
                
                PROBABILITY ASSESSMENT:
                Provide probability percentages for next 7-day and 30-day price movements.
            """),
            expected_output=f"Detailed technical analysis for {crypto} with specific indicators, price levels, and probability assessments",
            agent=agent
        )

    def sentiment_analysis(self, agent, crypto):
        return Task(
            description=dedent(f"""
                Conduct multi-source sentiment analysis for {crypto} cryptocurrency.
                
                REQUIRED SENTIMENT SOURCES:
                1. Overall Market Sentiment: General market mood towards {crypto}
                2. Social Media Sentiment: Twitter, Reddit, Discord community analysis
                3. News Sentiment: Traditional media, crypto publications, regulatory news
                4. Community Sentiment: Developer activity, governance, ecosystem growth
                5. Institutional Sentiment: Corporate adoption, investment fund interest
                6. Fear & Greed Index: Current market psychology
                
                ANALYSIS METHODOLOGY:
                - Analyze each source independently 
                - Assign clear Positive/Negative/Neutral ratings
                - Provide confidence scores (High/Medium/Low)
                - Identify sentiment drivers and catalysts
                
                FORMAT REQUIREMENTS:
                - Overall Sentiment: Positive/Negative/Neutral (Confidence: High/Medium/Low)
                - Social Media: Positive/Negative/Neutral (Twitter: X%, Reddit: X%)
                - News Sentiment: Positive/Negative/Neutral (Recent headlines impact)
                - Community: Positive/Negative/Neutral (Developer activity, governance)
                - Institutional: Positive/Negative/Neutral (Corporate interest level)
                - Key Drivers: [List 3-5 main factors influencing sentiment]
                - Sentiment Score: X/10 (Weighted composite)
                - Change from Last Week: Improving/Deteriorating/Stable
                
                ENSURE DIFFERENTIATED ANALYSIS:
                Each sentiment category must be analyzed separately and may have different ratings.
                Do not assign the same sentiment to all categories.
            """),
            expected_output=f"Comprehensive sentiment analysis for {crypto} with differentiated ratings across all sources",
            agent=agent
        )

    def recommend(self, agent, crypto):
        return Task(
            description=dedent(f"""
                Synthesize all analyses to provide a comprehensive investment recommendation for {crypto}.
                
                INTEGRATION REQUIREMENTS:
                1. Market Analysis Summary: Key market metrics and trends
                2. Technical Analysis Summary: Critical indicators and signals  
                3. Sentiment Analysis Summary: Weighted sentiment across sources
                4. Risk Assessment: Identify and quantify key risks
                5. Investment Recommendation: Clear BUY/HOLD/SELL with reasoning
                6. Position Sizing: Recommended portfolio allocation percentage
                7. Time Horizon: Short-term (1-3 months) vs Long-term (6-12 months) outlook
                8. Exit Strategy: Clear profit-taking and stop-loss levels
                
                FORMAT REQUIREMENTS:
                - Recommendation: BUY/HOLD/SELL
                - Confidence: High/Medium/Low (with percentage if possible)
                - Time Horizon: Short-term/Medium-term/Long-term
                - Position Size: X% of portfolio (Conservative/Moderate/Aggressive)
                - Entry Range: $X.XX - $X.XX
                - Target Price: $X.XX (Timeframe: X months)
                - Stop Loss: $X.XX
                - Risk Level: Low/Moderate/High
                - Key Catalysts: [3-5 factors that could drive price]
                - Risk Factors: [3-5 main risks to monitor]
                - Reasoning: [Detailed explanation combining all analyses]
                
                DECISION MATRIX:
                Clearly explain how market, technical, and sentiment factors influenced the final recommendation.
                Address both bull and bear case scenarios.
            """),
            expected_output=f"Comprehensive investment recommendation for {crypto} with specific targets, risk assessment, and detailed reasoning",
            agent=agent
        )