forked from LengKundee/MQL5-Google-Onedrive
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
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#!/usr/bin/env python3
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"""
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Scalping Strategy Research Script
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Queries AI for optimal scalping parameters for M5, M15, M30 timeframes.
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"""
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import os
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import logging
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from dotenv import load_dotenv
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# Setup logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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load_dotenv()
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def ask_ai_strategy():
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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logger.error("GEMINI_API_KEY not found.")
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return
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try:
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import google.generativeai as genai
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-2.0-flash')
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prompt = """
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I need a robust scalping strategy configuration for an MQL5 Expert Advisor.
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The EA uses SMC (Smart Money Concepts), Donchian Breakout, and MTF EMA confirmation.
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Please provide optimal settings for the following timeframes:
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1. 5 Minutes (M5)
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2. 15 Minutes (M15)
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3. 30 Minutes (M30)
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For each timeframe, provide:
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- Stop Loss (in points or ATR multiplier)
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- Take Profit (in points or Risk:Reward ratio)
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- Trailing Stop settings (Start, Step in points)
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- Break Even settings (Trigger, Plus points)
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- Indicator settings (EMA Fast/Slow periods, RSI period)
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Focus on EURUSD and GBPUSD pairs.
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Format the output clearly as a configuration guide.
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"""
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logger.info("Querying Gemini for scalping strategy...")
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response = model.generate_content(prompt)
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print(response.text)
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# Save to file
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with open("docs/SCALPING_STRATEGY.md", "w") as f:
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f.write("# Scalping Strategy Research\n\n")
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f.write(response.text)
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logger.info("Research saved to docs/SCALPING_STRATEGY.md")
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except Exception as e:
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logger.error(f"Analysis failed: {e}")
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if __name__ == "__main__":
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ask_ai_strategy()
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