coooking

Author: moondevonyt

.gitattributes

@@ -0,0 +1,2 @@
+# Auto detect text files and perform LF normalization
+* text=auto

.gitignore

@@ -0,0 +1,59 @@
+# 🌙 Moon Dev's .gitignore
+# Keep your secrets safe! 🔒
+
+# API Keys and Sensitive Data
+.env
+dontshare.py
+**/dontshare.py
+secrets.json
+config.private.py
+MYNOTES.md
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual Environment
+venv/
+ENV/
+.env/
+.venv/
+
+# IDEs and Editors
+.idea/
+.vscode/
+*.swp
+*.swo
+.DS_Store
+Thumbs.db
+
+# Logs and Databases
+*.log
+*.sqlite
+*.db
+
+# Moon Dev Trading Specific
+dont_overtrade.txt
+ohlcv_data/
+**/ohlcv_data/
+trading_history/
+**/trading_history/

src/agents/trading_agent.py

@@ -3,6 +3,28 @@
 Built with love by Moon Dev 🚀
 """
 
+# 🎯 Trading Strategy Prompt - The Secret Sauce! 
+# This is where Moon Dev's trading edge lives! 
+# Customize this prompt to create different trading strategies
+PROMPT = """
+You are Moon Dev's AI Trading Assistant 🌙
+
+Analyze the provided market data and make a trading decision based on these criteria:
+1. Price action relative to MA20 and MA40
+2. RSI levels and trend
+3. Volume patterns
+4. Recent price movements
+
+Respond in this exact format:
+1. First line must be one of: BUY, SELL, or NOTHING (in caps)
+2. Then explain your reasoning, including:
+   - Technical analysis
+   - Risk factors
+   - Market conditions
+   - Confidence level
+
+"""
+
 import anthropic
 import os
 from termcolor import colored, cprint
@@ -33,7 +55,7 @@ def analyze_market_data(self, market_data):
                 messages=[
                     {
                         "role": "user", 
-                        "content": f"Analyze this market data and provide trading insights: {market_data}"
+                        "content": f"{PROMPT}\n\nMarket Data to Analyze:\n{market_data}"
                     }
                 ]
             )
@@ -58,10 +80,11 @@ def main():
 
         # Analyze each token's data
         for token, data in market_data.items():
-            print(f"\n🔍 Analyzing {token[-4:]}...")
+            print(f"\n🔍 Analyzing token: {token}")  # Full contract address
             analysis = agent.analyze_market_data(data.to_dict())
-            print(f"\n📈 Analysis for {token[-4:]}:")
+            print(f"\n📈 Analysis for contract: {token}")  # Full contract address
             print(analysis)
+            print("\n" + "="*50 + "\n")  # Separator for better readability
 
     except KeyboardInterrupt:
         print("\n👋 Moon Dev AI Agent shutting down gracefully...")

src/core/config.py

@@ -50,7 +50,7 @@
 SAVE_OHLCV_DATA = False  # 🌙 Set to True to save data permanently, False will only use temp data during run
 
 # AI Model Settings 🤖
-AI_MODEL = "claude-3-sonnet-20240229"  # Claude model to use: claude-3-sonnet-20240229, claude-3-haiku-20240307, claude-3-opus-20240229
+AI_MODEL = "claude-3-haiku-20240307"  # Claude model to use: claude-3-haiku-20240307,claude-3-sonnet-20240229, claude-3-opus-20240229
 AI_MAX_TOKENS = 1024  # Max tokens for response
 AI_TEMPERATURE = 0.7  # Creativity vs precision (0-1)
 

src/core/utils/nice_funcs.py

@@ -384,17 +384,6 @@ def get_data(address, days_back_4_data, timeframe):
         df.to_csv(temp_file)
         print(f"🔄 Moon Dev cached data for {address[:4]}")
 
-        # Save permanently if enabled
-        if SAVE_OHLCV_DATA:
-            try:
-                os.makedirs('data/ohlcv', exist_ok=True)
-                timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-                filename = f"data/ohlcv/{address}_{timestamp}.csv"
-                df.to_csv(filename)
-                print(f"💾 Moon Dev saved permanent data for {address[:4]}")
-            except Exception as e:
-                print(f"❌ Error saving permanent data: {str(e)}")
-
         # Calculate indicators
         df['MA20'] = ta.sma(df['Close'], length=20)
         df['RSI'] = ta.rsi(df['Close'], length=14)

src/data/ohlcv/9BB6NFEcjBCtnNLFko2FqVQBq8HHM13kCyYcdQbgpump_20250101_130515.csv

@@ -19,16 +19,12 @@ def collect_token_data(token_address, days_back=DAYSBACK_4_DATA, timeframe=DATA_
         df = n.get_data(token_address, days_back, timeframe)
 
         if df is not None and not df.empty:
-            # Save to CSV with timestamp
-            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-            filename = f"src/data/ohlcv/{token_address}_{timestamp}.csv"
-            df.to_csv(filename)
-            print(f"💾 Data saved to {filename}")
-            
-            # Also save as latest version
-            latest_filename = f"src/data/ohlcv/{token_address}_latest.csv"
-            df.to_csv(latest_filename)
-            print(f"✨ Latest data updated for {token_address[-4:]}")
+            if SAVE_OHLCV_DATA:
+                # Save to CSV with timestamp
+                timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+                filename = f"src/data/ohlcv/{token_address}_{timestamp}.csv"
+                df.to_csv(filename)
+                print(f"💾 Data saved to {filename}")
 
             return df
         else:
@@ -43,8 +39,9 @@ def collect_all_tokens():
     """Collect data for all tokens in the config"""
     print("🌙 Moon Dev OHLCV Data Collector Starting Up! 🚀")
 
-    # Ensure the OHLCV directory exists
-    os.makedirs("src/data/ohlcv", exist_ok=True)
+    # Only create directory if we're saving data
+    if SAVE_OHLCV_DATA:
+        os.makedirs("src/data/ohlcv", exist_ok=True)
 
     results = {}
     for token in tokens_to_trade: