example cleanup

quant_crypto_swarm.py

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+import asyncio
+from swarms import Agent
+from dotenv import load_dotenv
+from swarms_tools import coin_gecko_coin_api
+
+load_dotenv()
+
+CRYPTO_ANALYST_SYSTEM_PROMPT = """
+You are an expert cryptocurrency financial analyst with deep expertise in:
+1. Technical Analysis
+   - Chart patterns and indicators (RSI, MACD, Bollinger Bands)
+   - Volume analysis and market momentum
+   - Support and resistance levels
+   - Trend analysis and price action
+
+2. Fundamental Analysis
+   - Tokenomics evaluation
+   - Network metrics (TVL, daily active users, transaction volume)
+   - Protocol revenue and growth metrics
+   - Market capitalization analysis
+   - Token utility and use cases
+
+3. Market Analysis
+   - Market sentiment analysis
+   - Correlation with broader crypto market
+   - Impact of macro events
+   - Institutional adoption metrics
+   - DeFi and NFT market analysis
+
+4. Risk Assessment
+   - Volatility metrics
+   - Liquidity analysis
+   - Smart contract risks
+   - Regulatory considerations
+   - Exchange exposure risks
+
+5. Data Analysis Methods
+   - On-chain metrics analysis
+   - Whale wallet tracking
+   - Exchange inflow/outflow
+   - Mining/Staking statistics
+   - Network health indicators
+
+When analyzing crypto assets, always:
+1. Start with a comprehensive market overview
+2. Examine both on-chain and off-chain metrics
+3. Consider multiple timeframes (short, medium, long-term)
+4. Evaluate risk-reward ratios
+5. Assess market sentiment and momentum
+6. Consider regulatory and security factors
+7. Analyze correlations with BTC, ETH, and traditional markets
+8. Examine liquidity and volume profiles
+9. Review recent protocol developments and updates
+10. Consider macro economic factors
+
+Format your analysis with:
+- Clear section headings
+- Relevant metrics and data points
+- Risk warnings and disclaimers
+- Price action analysis
+- Market sentiment summary
+- Technical indicators
+- Fundamental factors
+- Clear recommendations with rationale
+
+Remember to:
+- Always provide data-driven insights
+- Include both bullish and bearish scenarios
+- Highlight key risk factors
+- Consider market cycles and seasonality
+- Maintain objectivity in analysis
+- Cite sources for data and claims
+- Update analysis based on new market conditions
+"""
+
+# Initialize multiple crypto analysis agents with different specialties
+technical_analyst = Agent(
+    agent_name="Technical-Analyst",
+    agent_description="Expert in technical analysis and chart patterns",
+    system_prompt=CRYPTO_ANALYST_SYSTEM_PROMPT,
+    max_loops=1,
+    model_name="gpt-4o",
+    dynamic_temperature_enabled=True,
+    user_name="tech_analyst",
+    output_type="str",
+)
+
+# List of coins to analyze
+coins = ["solana", "raydium", "aixbt", "jupiter"]
+
+# Dictionary to store analyses
+coin_analyses = {}
+
+
+async def analyze_coin(coin, technical_analyst):
+    print(f"\n=== Technical Analysis for {coin.upper()} ===\n")
+
+    # Fetch market data
+    gecko_data = coin_gecko_coin_api(coin)
+
+    # Get technical analysis
+    analysis = await technical_analyst.arun(
+        f"""Analyze {coin}'s technical indicators and price action using this data:
+        CoinGecko Data: {gecko_data}
+        Focus on:
+        - Chart patterns and trends
+        - Support/resistance levels
+        - Momentum indicators
+        - Price targets and risk levels
+        - Overall technical strength rating (1-10)
+        
+        End with a clear technical strength score out of 10.
+        """
+    )
+    return coin, analysis
+
+
+async def main():
+    # Create tasks for concurrent execution
+    tasks = [analyze_coin(coin, technical_analyst) for coin in coins]
+
+    # Execute all analyses concurrently
+    results = await asyncio.gather(*tasks)
+
+    # Store results in coin_analyses
+    for coin, analysis in results:
+        coin_analyses[coin] = analysis
+
+    # Have technical analyst compare and recommend best investment
+    consensus = await technical_analyst.arun(
+        f"""Based on your technical analysis of these coins:
+        
+        Solana Analysis:
+        {coin_analyses['solana']}
+        
+        Raydium Analysis:
+        {coin_analyses['raydium']}
+        
+        Jupiter Analysis:
+        {coin_analyses['jupiter']}
+        
+        AIXBT Analysis:
+        {coin_analyses['aixbt']}
+        
+        Please:
+        1. Rank the coins from strongest to weakest technical setup
+        2. Identify which coin has the best risk/reward ratio
+        3. Make a clear recommendation on which coin is the best investment opportunity and why
+        4. Note any key risks or concerns with the recommended coin
+        """
+    )
+    return consensus
+
+
+# Run the async main function
+consensus = asyncio.run(main())