Update crypto__analysis_tasks.py

crypto__analysis_tasks.py

@@ -5,68 +5,137 @@ class CryptoAnalysisTasks:
     def market_research(self, agent, crypto):
         return Task(
             description=dedent(f"""
-                Get current price and market cap for {crypto}. Find recent news headlines.
+                Conduct comprehensive market research for {crypto} cryptocurrency.
                 
-                Instructions:
-                1. Get current price for {crypto}
-                2. Get market cap for {crypto}
-                3. Search for recent news about {crypto}
+                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 your response as:
-                Price: $X, Market Cap: $Y, News: [headline summary]
+                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"Current price, market cap, and recent news headlines for {crypto}",
+            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"""
-                Calculate RSI and 7-day moving average for {crypto}.
+                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
                 
-                Instructions:
-                1. Calculate RSI for {crypto}
-                2. Calculate 7-day moving average for {crypto}
-                3. Determine if the asset is overbought, oversold, or neutral
+                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]
                 
-                Format your response as:
-                RSI: X, 7-day MA: $Y, Signal: [overbought/oversold/neutral]
+                PROBABILITY ASSESSMENT:
+                Provide probability percentages for next 7-day and 30-day price movements.
             """),
-            expected_output=f"RSI, moving average, and technical signal for {crypto}",
+            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"""
-                Analyze overall market sentiment for {crypto} based on available information.
+                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
                 
-                Instructions:
-                1. Get current price information for {crypto}
-                2. Analyze sentiment of the price action and market data
-                3. Provide sentiment assessment
+                ANALYSIS METHODOLOGY:
+                - Analyze each source independently 
+                - Assign clear Positive/Negative/Neutral ratings
+                - Provide confidence scores (High/Medium/Low)
+                - Identify sentiment drivers and catalysts
                 
-                Format your response as:
-                Sentiment: [Positive/Negative/Neutral], Reason: [brief explanation]
+                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"Market sentiment assessment for {crypto}",
+            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"""
-                Based on all previous analyses, provide a clear investment recommendation for {crypto}.
+                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
                 
-                Consider:
-                1. Current price and market cap
-                2. Technical indicators (RSI, moving averages)
-                3. Market sentiment
-                4. Recent news impact
+                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]
                 
-                Format your response as:
-                Recommendation: [BUY/HOLD/SELL], Confidence: [High/Medium/Low], Reason: [key supporting factor]
+                DECISION MATRIX:
+                Clearly explain how market, technical, and sentiment factors influenced the final recommendation.
+                Address both bull and bear case scenarios.
             """),
-            expected_output=f"Clear investment recommendation with reasoning for {crypto}",
+            expected_output=f"Comprehensive investment recommendation for {crypto} with specific targets, risk assessment, and detailed reasoning",
             agent=agent
-        )
+        )