quant crypto agent example

kyegomez · Feb 5, 2025 · 3b46a12 · 3b46a12
1 parent 0a39f2d
commit 3b46a12
Show file tree

Hide file tree

Showing 3 changed files with 236 additions and 0 deletions.
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
@@ -217,6 +217,7 @@ nav:
         - Agent with HTX + CoinGecko: "swarms/examples/swarms_tools_htx.md"
         - Agent with HTX + CoinGecko Function Calling: "swarms/examples/swarms_tools_htx_gecko.md"
         - Lumo: "swarms/examples/lumo.md"
+        - Quant Crypto Agent: "swarms/examples/quant_crypto_agent.md"
     - Meme Agents:
       - Bob The Builder: "swarms/examples/bob_the_builder.md"
       - Meme Agent Builder: "swarms/examples/meme_agents.md"

diff --git a/docs/swarms/examples/quant_crypto_agent.md b/docs/swarms/examples/quant_crypto_agent.md
@@ -0,0 +1,129 @@
+# Quant Crypto Agent
+
+- This is a simple example of a crypto agent that uses the `Agent` class from the `swarms` library.
+- It uses the `fetch_htx_data` and `coin_gecko_coin_api` tools to fetch data from the `htx` and `CoinGecko` APIs.
+- It uses the `Agent` class to create an agent that can analyze the current state of a crypto asset.
+
+## Steps
+
+1. Install the `swarms` library.
+2. Install the `swarms_tools` library.
+3. Setup your `.env` file with the `OPENAI_API_KEY` environment variables.
+4. Run the code.
+
+## Installation:
+
+```bash
+pip install swarms swarms-tools python-dotenv
+```
+
+## Code:
+
+```python
+from swarms import Agent
+from dotenv import load_dotenv
+from swarms_tools import fetch_htx_data, 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 the crypto analysis agent
+agent = Agent(
+    agent_name="Crypto-Analysis-Expert",
+    agent_description="Expert cryptocurrency financial analyst and market researcher",
+    system_prompt=CRYPTO_ANALYST_SYSTEM_PROMPT,
+    max_loops="auto",
+    model_name="gpt-4o",
+    dynamic_temperature_enabled=True,
+    user_name="crypto_analyst",
+    output_type="str",
+    interactive=True,
+)
+
+print(fetch_htx_data("sol"))
+print(coin_gecko_coin_api("solana"))
+
+# Example usage
+agent.run(
+    f"""
+    Analyze the current state of Solana (SOL), including:
+    1. Technical analysis of price action
+    2. On-chain metrics and network health
+    3. Recent protocol developments
+    4. Market sentiment
+    5. Risk factors
+    Please provide a comprehensive analysis with data-driven insights.
+    
+    # Solana CoinGecko Data
+    Real-tim data from Solana CoinGecko: \n {coin_gecko_coin_api("solana")}
+    
+    """
+)
+```
diff --git a/together_deepseek_agent.py b/together_deepseek_agent.py
@@ -0,0 +1,106 @@
+from swarms import Agent
+from dotenv import load_dotenv
+from swarms_tools import fetch_htx_data, 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 the crypto analysis agent
+agent = Agent(
+    agent_name="Crypto-Analysis-Expert",
+    agent_description="Expert cryptocurrency financial analyst and market researcher",
+    system_prompt=CRYPTO_ANALYST_SYSTEM_PROMPT,
+    max_loops="auto",
+    model_name="gpt-4o",
+    dynamic_temperature_enabled=True,
+    user_name="crypto_analyst",
+    output_type="str",
+    interactive=True,
+)
+
+print(fetch_htx_data("sol"))
+print(coin_gecko_coin_api("solana"))
+
+# Example usage
+agent.run(
+    f"""
+    Analyze the current state of Solana (SOL), including:
+    1. Technical analysis of price action
+    2. On-chain metrics and network health
+    3. Recent protocol developments
+    4. Market sentiment
+    5. Risk factors
+    Please provide a comprehensive analysis with data-driven insights.
+    
+    # Solana CoinGecko Data
+    Real-tim data from Solana CoinGecko: \n {coin_gecko_coin_api("solana")}
+    
+    """
+)