113 lines
4.3 KiB
Python
113 lines
4.3 KiB
Python
 
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#!/usr/bin/env python3
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"""
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Script to add News Filter cell to notebook
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"""
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import json
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import sys
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notebook_path = "TradingBot_V1.6_Adaptive_Complete_CORRECTED.ipynb"
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print(f"📖 Loading notebook: {notebook_path}")
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with open(notebook_path, 'r', encoding='utf-8') as f:
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notebook = json.load(f)
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# Create News Filter Info Cell (Markdown)
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news_filter_info_cell = {
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 📰 News Filter - High-Impact Event Protection\n",
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"\n",
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"**Status:** ACTIVE - Blockiert Trading 30min vor/nach High-Impact News\n",
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"\n",
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"### 🛡️ Schutz vor:\n",
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"- **NFP (Non-Farm Payrolls)** - 1. Freitag/Monat, 13:30 UTC\n",
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"- **CPI (Consumer Price Index)** - Mitte Monat, 13:30 UTC\n",
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"- **FOMC (Fed Interest Rate)** - 8x/Jahr, 19:00 UTC\n",
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"- **Retail Sales, PMI, etc.**\n",
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"\n",
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"### ✅ Features:\n",
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"- 30min Buffer vor/nach Event\n",
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"- Manuelle Event-Liste (keine API nötig)\n",
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"- Einfach zu warten\n",
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"- Offline-fähig\n",
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"\n",
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"### 📝 Event Management:\n",
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"- Events konfigurieren: `news_events_manual.json`\n",
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"- Wöchentlich Updates: Checke ForexFactory Calendar\n",
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"\n",
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"### 💰 Erwarteter Impact:\n",
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"- Verhindert $400-600/Monat News-Losses\n",
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"- Trading-Zeit reduziert: ~0.4% (minimal)\n",
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"- ROI: EXTREM HOCH ✅\n"
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]
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}
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# Create News Filter Integration Cell (Code)
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news_filter_integration_cell = {
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": [
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"# ==========================================\n",
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"# NEWS FILTER INTEGRATION\n",
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"# ==========================================\n",
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"\n",
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"from news_filter_integration import create_news_filter_wrapper\n",
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"\n",
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"# Backup original function (if not already backed up)\n",
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"if '_original_execute_trade_before_news' not in dir():\n",
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" _original_execute_trade_before_news = execute_trade_v2_adaptive\n",
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" print(\"✅ Original execute_trade_v2_adaptive saved\")\n",
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"\n",
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"# Wrap with news filter\n",
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"execute_trade_v2_adaptive = create_news_filter_wrapper(\n",
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" _original_execute_trade_before_news\n",
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")\n",
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"\n",
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"print(\"✅ NEWS FILTER ACTIVATED\")\n",
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"print(\"-\" * 60)\n",
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"print(\"Protection: Trading blocked 30min before/after HIGH-IMPACT news\")\n",
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"print(\"Events monitored:\")\n",
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"print(\" • NFP (Non-Farm Payrolls)\")\n",
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"print(\" • CPI (Consumer Price Index)\")\n",
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"print(\" • FOMC (Fed Interest Rate Decision)\")\n",
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"print(\" • Retail Sales, PMI, GDP\")\n",
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"print(\" • Other high-impact USD/EUR/GBP events\")\n",
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"print(\"-\" * 60)\n",
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"print(\"\\n📝 To add events: Edit news_events_manual.json\")\n",
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"print(\"💡 Recommended: Weekly check ForexFactory calendar\")\n"
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]
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}
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# Find position to insert (after Cell 30 - execute_trade integration)
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# We want to insert after the telegram integration cells
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insert_position = 31 # After Cell 30
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print(f"\n📝 Inserting News Filter cells at position {insert_position}...")
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notebook['cells'].insert(insert_position, news_filter_info_cell)
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notebook['cells'].insert(insert_position + 1, news_filter_integration_cell)
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# Update cell count
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new_total = len(notebook['cells'])
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print(f"✅ New total cells: {new_total}")
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# Save notebook
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print(f"\n💾 Saving notebook...")
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with open(notebook_path, 'w', encoding='utf-8') as f:
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json.dump(notebook, f, indent=1, ensure_ascii=False)
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print("✅ Notebook updated successfully!")
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print(f"\n📋 Added cells:")
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print(f" Cell {insert_position}: News Filter Info (Markdown)")
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print(f" Cell {insert_position + 1}: News Filter Integration (Code)")
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print(f"\n🎯 News Filter is now at positions {insert_position}-{insert_position + 1}")
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print(f" (Total cells: {new_total})")
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print("\n📝 NEXT STEPS:")
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print(" 1. Open notebook")
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print(f" 2. Run Cell {insert_position + 1} (News Filter Integration)")
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print(" 3. Add upcoming events to news_events_manual.json")
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print(" 4. Done! Bot is protected from news events!")
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