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OI EA/AGENTS.md

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+# MeanRevisionEA - Agent Guide
+
+This repository contains a MetaTrader 5 Expert Advisor (EA) for XAUUSD trading using mean reversion strategies with Open Interest levels.
+
+## Build / Lint / Test Commands
+
+MQL5 files are compiled via MetaEditor IDE, not command line. Use MetaEditor (F4 in MT5) → Open OI_MeanReversion_Pro_XAUUSD_A.mq5 → Press F7 to compile.
+
+**File Encoding:** UTF-16LE with CRLF line endings. MetaEditor handles this automatically.
+
+**Testing:** Use MetaTrader 5 Strategy Tester. No automated test framework.
+
+## Code Style Guidelines
+
+### Naming Conventions
+
+**Input Parameters:** `Inp` prefix + PascalCase
+```mql5
+input double InpLotSize = 0.1;
+input bool InpUseStopLoss = true;
+input ENUM_OI_SOURCE InpOISource = OI_SOURCE_MANUAL;
+```
+
+**Global Variables:** PascalCase (no prefix)
+```mql5
+double DeltaPrice = 0.0;
+double SpotPrice = 0.0;
+int DailyTradeCount = 0;
+```
+
+**Functions:** PascalCase with descriptive names
+```mql5
+void InitializeOILevels()
+bool CheckGlobalConditions()
+double CalculateLotSize(ENUM_POSITION_TYPE tradeType)
+```
+
+**Local Variables:** camelCase
+```mql5
+double lotSize = NormalizeLot(ManualLotSize);
+double riskAmount = balance * (InpRiskPercent / 100.0);
+```
+
+**Object Names:** Descriptive names with prefixes (e.g., "CP_" for control panel)
+```mql5
+CreateButton("CP_Sell", x, y, width, height, "Sell Now", clrRed, clrWhite);
+```
+
+### Enums and Constants
+
+**Enums:** `ENUM_` prefix, uppercase values
+```mql5
+enum ENUM_MARKET_PHASE {
+   PHASE_BULLISH,
+   PHASE_BEARISH,
+   PHASE_SIDEWAYS,
+   PHASE_NEUTRAL
+};
+```
+
+### Imports and Includes
+
+Use angle brackets with backslashes:
+```mql5
+#include <Trade\Trade.mqh>
+#include <Trade\AccountInfo.mqh>
+```
+
+### Function Documentation
+
+Use MetaTrader's standard format:
+```mql5
+//+------------------------------------------------------------------+
+//| Calculate Lot Size                                               |
+//+------------------------------------------------------------------+
+double CalculateLotSize(ENUM_POSITION_TYPE tradeType) { }
+```
+
+### Error Handling
+
+Check return values and validate inputs:
+```mql5
+if(Trade.Buy(lotSize, _Symbol, SpotPrice, sl, tp, "BUY")) {
+   Print("BUY executed");
+} else {
+   Print("BUY failed. Error: ", Trade.ResultRetcodeDescription());
+}
+if(PendingPriceValue <= 0) {
+   Print("Invalid price");
+   return;
+}
+```
+
+### Conditionals and Loops
+
+No space after `if`/`for`, space after condition:
+```mql5
+if(DeltaDeviation <= threshold)
+   return false;
+for(int i = PositionsTotal() - 1; i >= 0; i--) { }
+```
+
+### Arrays and Strings
+
+Use MQL5 functions for arrays and strings:
+```mql5
+ArrayResize(result, count + 1);
+ArraySort(CallLevels);
+StringToDouble(), StringToInteger(), DoubleToString(value, _Digits)
+```
+
+### Color and Object Management
+
+Use MQL5 color constants and check object existence:
+```mql5
+color PanelColor = C'30,30,30';
+color TextColor = clrWhite;
+if(ObjectFind(chart_id, name) < 0)
+   ObjectCreate(chart_id, name, OBJ_LABEL, 0, 0, 0);
+ObjectSetInteger(chart_id, name, OBJPROP_ZORDER, 1001);
+```
+
+### Trade Operations
+
+Normalize values and use CTrade library:
+```mql5
+NormalizeDouble(price, _Digits)
+NormalizeLot(lotSize)
+CTrade Trade;
+Trade.SetExpertMagicNumber(InpMagicNumber);
+Trade.Buy(lotSize, _Symbol, price, sl, tp, comment);
+```
+
+### Event Handlers
+
+Implement required MQL5 handlers:
+```mql5
+int OnInit()        // Initialization
+void OnDeinit()     // Cleanup
+void OnTick()       // Price tick
+void OnTimer()      // Timer events
+void OnChartEvent() // UI interactions
+```
+
+### Comments
+
+Use `//` for single-line, `/* */` for multi-line. Thai comments acceptable for user messages.

OI EA/oi_scraper/.env.example

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+# CME Group QuikStrike Login Credentials
+CME_USERNAME=your_username_here
+CME_PASSWORD=your_password_here
+CME_LOGIN_URL=https://login.cmegroup.com/sso/accountstatus/showAuth.action
+
+# QuikStrike URL (fixed - always same page)
+QUIKSTRIKE_URL=https://www.cmegroup.com/tools-information/quikstrike/open-interest-heatmap.html
+
+# Gold Price Source (investing.com)
+INVESTING_URL=https://www.investing.com/commodities/gold
+
+# Output Settings
+CSV_OUTPUT_PATH=./oi_data.csv
+TOP_N_STRIKES=3
+
+# Scraping Settings
+HEADLESS=false  # Set to true for production
+TIMEOUT_SECONDS=30
+RETRY_ATTEMPTS=3
+
+# Logging
+LOG_LEVEL=INFO  # DEBUG, INFO, WARNING, ERROR

OI EA/oi_scraper/.gitignore

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+# Python cache
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+
+# Virtual environments
+venv/
+env/
+ENV/
+
+# Environment variables
+.env
+
+# Output files
+*.csv
+*.png
+*.log
+
+# Session data
+cookies.json
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db

OI EA/oi_scraper/README.md

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+# CME OI Scraper
+
+Python scraper that extracts Open Interest data from CME Group QuikStrike and current gold price from investing.com.
+
+## What It Extracts
+
+1. **OI Levels (from CME QuikStrike):**
+   - Top 3 CALL strikes by OI volume (unique strikes)
+   - Top 3 PUT strikes by OI volume (unique strikes)
+
+2. **Gold Price (from investing.com):**
+   - Current gold futures price (e.g., 4476.50)
+
+## Prerequisites
+
+- Python 3.9 or higher
+- CME Group QuikStrike account (free registration at https://www.cmegroup.com)
+- Windows 10/11 (for batch files) or Linux/macOS
+
+## Quick Start
+
+### Windows
+
+1. **Run one-time setup:**
+   ```cmd
+   cd C:\Path\To\oi_scraper
+   setup_env.bat
+   ```
+
+2. **Run the scraper:**
+   ```cmd
+   run_with_venv.bat
+   ```
+
+### Linux/macOS
+
+1. **Setup:**
+   ```bash
+   cd /path/to/oi_scraper
+   python3 -m venv venv
+   source venv/bin/activate
+   pip install -r requirements.txt
+   playwright install chromium
+   ```
+
+2. **Run:**
+   ```bash
+   source venv/bin/activate
+   python main.py
+   ```
+
+## Configuration
+
+### Edit `.env` File
+
+Copy and edit the environment file:
+
+```cmd
+copy .env.example .env
+notepad .env
+```
+
+Required settings:
+```env
+CME_USERNAME=your_cme_username
+CME_PASSWORD=your_cme_password
+```
+
+Optional settings:
+```env
+# Number of top strikes to export (default: 3)
+TOP_N_STRIKES=3
+
+# Run browser without window (default: false)
+HEADLESS=false
+
+# Page timeout in seconds (default: 30)
+TIMEOUT_SECONDS=30
+
+# Output CSV path
+CSV_OUTPUT_PATH=./oi_data.csv
+
+# Logging level: DEBUG, INFO, WARNING, ERROR
+LOG_LEVEL=INFO
+```
+
+## Output Format
+
+The scraper exports to `oi_data.csv`:
+
+```csv
+Type,Strike,OI
+CALL,4375.0,147
+CALL,4450.0,173
+CALL,4500.0,176
+PUT,4435.0,49
+PUT,4400.0,102
+PUT,4515.0,150
+
+[Price]
+FuturePrice,4467.8
+```
+
+The `[Price]` section contains the current gold futures price scraped from investing.com.
+
+## Session Persistence
+
+The scraper saves login sessions to `cookies.json`:
+
+- **First run:** Logs in with credentials, saves cookies
+- **Subsequent runs:** Uses saved cookies if session is valid
+- **Session expired:** Automatically re-logs in and saves new cookies
+
+This makes scheduled runs faster and reduces login attempts to CME servers.
+
+To force a fresh login:
+```cmd
+del cookies.json
+```
+
+## Integration with EA
+
+The EA reads OI data from CSV when configured:
+```mql5
+input ENUM_OI_SOURCE InpOISource = OI_SOURCE_CSV_FILE;
+```
+
+Copy `oi_data.csv` to your MT5 `MQL5/Files` directory:
+```
+C:\Users\YourUsername\AppData\Roaming\MetaQuotes\Terminal\Common\MQL5\Files\oi_data.csv
+```
+
+## Automatic Daily Scheduling
+
+### Windows Task Scheduler
+
+1. **Create scheduled task:**
+   - Open Task Scheduler (`taskschd.msc`)
+   - Click "Create Task"
+
+2. **Configure General tab:**
+   - Name: `CME OI Scraper - Daily`
+   - ✅ Run whether user is logged on or not
+   - ✅ Run with highest privileges
+
+3. **Configure Triggers tab:**
+   - New → On a schedule → Daily
+   - Start time: 9:00 AM (or your preferred time)
+   - ✅ Enabled
+
+4. **Configure Actions tab:**
+   - Action: Start a program
+   - Program/script:
+     ```
+     C:\Path\To\oi_scraper\run_scheduled.bat
+     ```
+   - Start in:
+     ```
+     C:\Path\To\oi_scraper
+     ```
+
+5. **Click OK to save**
+
+### Linux/macOS (cron)
+
+```bash
+# Edit crontab
+crontab -e
+
+# Add line to run every day at 9 AM
+0 9 * * * cd /path/to/oi_scraper && /path/to/venv/bin/python main.py
+```
+
+## Batch Files Reference
+
+| File | Purpose |
+|------|---------|
+| `setup_env.bat` | One-time setup (creates virtual environment) |
+| `run_with_venv.bat` | Manual run with visible window |
+| `run_scheduled.bat` | For Task Scheduler (no window, no pause) |
+
+## Troubleshooting
+
+### Module Not Found Errors
+
+**Error:** `ModuleNotFoundError: No module named 'playwright'`
+
+**Solution:**
+```cmd
+run_with_venv.bat
+```
+
+The virtual environment ensures all dependencies are isolated.
+
+### Login Fails
+
+- Verify credentials in `.env`
+- Check if CME requires 2FA (manual intervention needed)
+- Set `HEADLESS=false` to see browser activity
+- Check screenshots: `login_failed.png`, `login_error.png`
+
+### No Data Extracted
+
+- Check if CME table structure changed
+- Increase `TIMEOUT_SECONDS=60` in `.env`
+- Check logs for errors
+- Screenshot saved as `login_debug.png`
+
+### Browser Issues
+
+```cmd
+# Reinstall Chromium
+python -m playwright install chromium
+```
+
+### Session Expires Frequently
+
+Delete cookies to force fresh login:
+```cmd
+del cookies.json
+```
+
+### Check Python Path Issues (Windows)
+
+```cmd
+# Check which Python is being used
+where python
+
+# Use Python launcher
+py -3 main.py
+
+# Or use the virtual environment
+run_with_venv.bat
+```
+
+## Finding Product IDs
+
+To scrape other instruments (Silver, Crude Oil, etc.):
+
+1. Visit CME QuikStrike OI Heatmap
+2. Login to your CME account
+3. Select a product from the dropdown
+4. The URL updates with the `pid` parameter
+5. Note: This scraper is configured for Gold by default
+
+## Notes
+
+- Targets the OI Heatmap table structure
+- Exports top N unique strikes by OI volume
+- Uses session cookies for faster subsequent runs
+- CME sessions typically last several days to weeks
+- Virtual environment recommended to avoid Python path conflicts
+
+## Files
+
+```
+oi_scraper/
+├── main.py              # Main scraper script
+├── requirements.txt     # Python dependencies
+├── .env.example         # Environment template
+├── .env                 # Your credentials (create from example)
+├── setup_env.bat        # Windows: Create virtual environment
+├── run_with_venv.bat    # Windows: Manual run
+├── run_scheduled.bat    # Windows: Task Scheduler run
+├── oi_data.csv          # Output file (generated)
+├── cookies.json         # Session cookies (generated)
+└── scraper.log          # Log file (generated)
+```

OI EA/oi_scraper/main.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+CME OI Scraper - Extracts Open Interest data from CME QuikStrike and gold price from investing.com
+Usage: python main.py
+Requires: pip install -r requirements.txt
+"""
+
+import os
+import logging
+import json
+from datetime import datetime
+from playwright.sync_api import sync_playwright
+from dotenv import load_dotenv
+import pandas as pd
+
+load_dotenv()
+
+# Configuration
+CME_USERNAME = os.getenv("CME_USERNAME")
+CME_PASSWORD = os.getenv("CME_PASSWORD")
+CME_LOGIN_URL = os.getenv(
+    "CME_LOGIN_URL", "https://login.cmegroup.com/sso/accountstatus/showAuth.action"
+)
+QUIKSTRIKE_URL = (
+    "https://www.cmegroup.com/tools-information/quikstrike/open-interest-heatmap.html"
+)
+QUIKSTRIKE_URL = (
+    "https://www.cmegroup.com/tools-information/quikstrike/open-interest-heatmap.html"
+)
+INVESTING_URL = os.getenv("INVESTING_URL", "https://www.investing.com/commodities/gold")
+CSV_OUTPUT_PATH = os.getenv("CSV_OUTPUT_PATH", "./oi_data.csv")
+TOP_N_STRIKES = int(os.getenv("TOP_N_STRIKES", "3"))
+HEADLESS = os.getenv("HEADLESS", "false").lower() == "true"
+TIMEOUT_SECONDS = int(os.getenv("TIMEOUT_SECONDS", "30"))
+RETRY_ATTEMPTS = int(os.getenv("RETRY_ATTEMPTS", "3"))
+LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
+COOKIE_FILE = "./cookies.json"
+
+logging.basicConfig(level=getattr(logging, LOG_LEVEL))
+logger = logging.getLogger(__name__)
+
+
+def save_cookies(context):
+    cookies = context.cookies()
+    with open(COOKIE_FILE, "w") as f:
+        json.dump(cookies, f)
+    logger.info("Cookies saved to file")
+
+
+def load_cookies(context):
+    if os.path.exists(COOKIE_FILE):
+        with open(COOKIE_FILE, "r") as f:
+            cookies = json.load(f)
+        context.add_cookies(cookies)
+        logger.info("Cookies loaded from file")
+        return True
+    return False
+
+
+def delete_cookies():
+    if os.path.exists(COOKIE_FILE):
+        os.remove(COOKIE_FILE)
+        logger.info("Cookies deleted")
+
+
+def are_cookies_valid(page):
+    logger.info("Checking if cookies are valid...")
+    page.goto(QUIKSTRIKE_URL, timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_load_state("domcontentloaded", timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_timeout(3000)
+
+    try:
+        frame = page.frame_locator("iframe.cmeIframe").first
+        page.wait_for_timeout(5000)
+
+        table_exists = frame.locator("table.grid-thm").count() > 0
+        if table_exists:
+            logger.info("Cookies are valid - OI table found in iframe")
+        else:
+            logger.info("Cookies may be expired - no OI table found in iframe")
+        return table_exists
+    except Exception as e:
+        logger.info(f"Cookies expired - error checking iframe: {e}")
+        return False
+
+
+def login_to_cme(page):
+    logger.info("Attempting to login to CME QuikStrike...")
+
+    page.goto(CME_LOGIN_URL, timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_load_state("domcontentloaded", timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_timeout(1000)
+
+    try:
+        page.fill("#user", CME_USERNAME)
+        page.fill("#pwd", CME_PASSWORD)
+        page.click("#loginBtn")
+
+        logger.info("Waiting for login redirect...")
+        page.wait_for_timeout(30000)
+
+        current_url = page.url.lower()
+        logger.info(f"Current URL after login attempt: {current_url}")
+
+        if "login" in current_url or "sso" in current_url:
+            logger.error("Login may have failed - still on SSO/login page")
+            page.screenshot(path="login_failed.png")
+            return False
+
+        logger.info("Login successful")
+        page.screenshot(path="login_success.png")
+        return True
+
+    except Exception as e:
+        logger.error(f"Login error: {e}")
+        page.screenshot(path="login_error.png")
+        return False
+
+
+def select_gold_product(page):
+    logger.info("Selecting Gold product...")
+
+    logger.info("Switching to iframe context...")
+    frame = page.frame_locator("iframe.cmeIframe").first
+    page.wait_for_timeout(5000)
+
+    logger.info("Step 1: Clicking dropdown arrow...")
+    frame.locator("#ctl11_hlProductArrow").click()
+    page.wait_for_timeout(1000)
+
+    logger.info("Step 2: Clicking Metals...")
+    frame.locator('a[groupid="6"]:has-text("Metals")').click()
+    page.wait_for_timeout(500)
+
+    logger.info("Step 3: Clicking Precious Metals...")
+    frame.locator('a[familyid="6"]:has-text("Precious Metals")').click()
+    page.wait_for_timeout(500)
+
+    logger.info("Step 4: Clicking Gold...")
+    frame.locator('a[title="Gold"]').click()
+
+    logger.info("Waiting for Gold data to load...")
+    page.wait_for_timeout(10000)
+    logger.info("Gold product selected")
+
+
+def navigate_to_oi_heatmap(page):
+    logger.info(f"Navigating to QuikStrike: {QUIKSTRIKE_URL}")
+    page.goto(QUIKSTRIKE_URL, timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_load_state("domcontentloaded", timeout=TIMEOUT_SECONDS * 1000)
+    page.wait_for_timeout(5000)
+
+    select_gold_product(page)
+
+
+def extract_oi_data(page):
+    logger.info("Extracting OI data from Gold matrix table...")
+
+    logger.info("Switching to iframe context...")
+    frame = page.frame_locator("iframe.cmeIframe").first
+    page.wait_for_timeout(8000)
+
+    logger.info("Looking for table.grid-thm...")
+    call_levels = []
+    put_levels = []
+
+    table = frame.locator("table.grid-thm").first
+    table.wait_for(state="visible", timeout=10000)
+    logger.info("Table found, waiting for data...")
+
+    rows = table.locator("tbody tr").all()
+    logger.info(f"Found {len(rows)} rows in table")
+
+    for row in rows:
+        try:
+            cells = row.locator("td").all()
+            if len(cells) < 3:
+                continue
+
+            strike = None
+            for cell in cells:
+                text = cell.text_content().strip()
+                if text and text.replace(".", "").isdigit():
+                    strike = float(text)
+                    break
+
+            if strike is None:
+                continue
+
+            number_cells = row.locator("td.number").all()
+            logger.debug(f"Strike {strike}: found {len(number_cells)} number cells")
+
+            for i in range(0, len(number_cells), 2):
+                if i + 1 >= len(number_cells):
+                    break
+
+                call_cell = number_cells[i]
+                put_cell = number_cells[i + 1]
+
+                call_text = call_cell.text_content().strip()
+                put_text = put_cell.text_content().strip()
+
+                if call_text and call_text != "-":
+                    call_oi = int(call_text.replace(",", ""))
+                    call_levels.append(
+                        {"Type": "CALL", "Strike": strike, "OI": call_oi}
+                    )
+
+                if put_text and put_text != "-":
+                    put_oi = int(put_text.replace(",", ""))
+                    put_levels.append({"Type": "PUT", "Strike": strike, "OI": put_oi})
+
+        except Exception as e:
+            logger.warning(f"Error parsing row: {e}")
+            continue
+
+    logger.info(
+        f"Extracted {len(call_levels)} CALL levels, {len(put_levels)} PUT levels"
+    )
+
+    if call_levels:
+        call_df = pd.DataFrame(call_levels)
+        call_df = call_df.drop_duplicates(subset="Strike", keep="first")
+        call_df = call_df.sort_values("OI")
+        call_df = call_df.tail(TOP_N_STRIKES)
+        call_df["Type"] = "CALL"
+    else:
+        call_df = pd.DataFrame()
+
+    if put_levels:
+        put_df = pd.DataFrame(put_levels)
+        put_df = put_df.drop_duplicates(subset="Strike", keep="first")
+        put_df = put_df.sort_values("OI")
+        put_df = put_df.tail(TOP_N_STRIKES)
+        put_df["Type"] = "PUT"
+    else:
+        put_df = pd.DataFrame()
+
+    result_df = pd.concat([call_df, put_df])
+    result_df = result_df[["Type", "Strike", "OI"]]
+
+    logger.info(f"Final top {TOP_N_STRIKES} unique strikes for CALL and PUT extracted")
+    return result_df
+
+
+def scrape_investing_gold_price(page):
+    logger.info(f"Scraping gold price from: {INVESTING_URL}")
+
+    try:
+        page.goto(INVESTING_URL, timeout=60000, wait_until="domcontentloaded")
+        logger.info(f"Page loaded, title: {page.title()}")
+
+        page.wait_for_timeout(5000)
+        logger.info("Waited for JavaScript to render")
+
+        selectors = [
+            'div[data-test="instrument-price-last"]',
+            ".text-5xl\\/9.font-bold.text-\\[#232526\\]",
+            '[data-test="instrument-price-last"]',
+            ".text-5xl\\/9",
+        ]
+
+        price = 0.0
+        for selector in selectors:
+            try:
+                locator = page.locator(selector)
+                if locator.count() > 0:
+                    locator.first.wait_for(state="visible", timeout=10000)
+                    price_text = locator.first.text_content().strip()
+                    if price_text:
+                        price_text = price_text.replace(",", "")
+                        price = float(price_text)
+                        logger.info(f"Extracted gold price ({selector}): {price}")
+                        break
+            except Exception as e:
+                logger.debug(f"Selector {selector} failed: {e}")
+                continue
+
+        if price == 0.0:
+            logger.warning("Could not extract gold price, all selectors failed")
+
+        return price
+
+    except Exception as e:
+        logger.error(f"Error scraping gold price: {e}")
+        return 0.0
+
+
+def export_to_csv(df, future_price=0.0):
+    output_path = CSV_OUTPUT_PATH
+
+    with open(output_path, "w", encoding="utf-8") as f:
+        f.write("Type,Strike,OI\n")
+
+        call_df = df[df["Type"] == "CALL"] if len(df) > 0 else pd.DataFrame()
+        put_df = df[df["Type"] == "PUT"] if len(df) > 0 else pd.DataFrame()
+
+        if len(call_df) > 0:
+            for _, row in call_df.iterrows():
+                f.write(f"CALL,{row['Strike']:.1f},{row['OI']}\n")
+
+        if len(put_df) > 0:
+            for _, row in put_df.iterrows():
+                f.write(f"PUT,{row['Strike']:.1f},{row['OI']}\n")
+
+        f.write(f"Future,{future_price},0\n")
+
+    logger.info(f"Exported OI data and price to {output_path}")
+
+
+def run_scraper():
+    if not CME_USERNAME or not CME_PASSWORD:
+        logger.error("Missing CME_USERNAME or CME_PASSWORD in .env file")
+        return
+
+    future_price = 0.0
+
+    for attempt in range(RETRY_ATTEMPTS):
+        try:
+            with sync_playwright() as p:
+                browser = p.chromium.launch(headless=HEADLESS)
+                context = browser.new_context()
+                page = context.new_page()
+
+                cookies_loaded = load_cookies(context)
+                cookies_valid = False
+
+                if cookies_loaded:
+                    cookies_valid = are_cookies_valid(page)
+
+                if cookies_valid:
+                    logger.info("Using cached session")
+                else:
+                    if cookies_loaded:
+                        logger.info("Cookies expired, deleting and re-logging in...")
+                        delete_cookies()
+
+                    logger.info("Logging in to CME...")
+                    if not login_to_cme(page):
+                        browser.close()
+                        if attempt < RETRY_ATTEMPTS - 1:
+                            logger.info(
+                                f"Retrying... Attempt {attempt + 2}/{RETRY_ATTEMPTS}"
+                            )
+                            continue
+                        else:
+                            logger.error("All login attempts failed")
+                            return
+
+                navigate_to_oi_heatmap(page)
+                oi_data = extract_oi_data(page)
+                save_cookies(context)
+
+                if len(oi_data) > 0:
+                    logger.info("Extracting gold price from investing.com...")
+                    future_price = scrape_investing_gold_price(page)
+                    logger.info(f"Gold price extracted: {future_price}")
+
+                    export_to_csv(oi_data, future_price)
+                else:
+                    logger.warning("No OI data extracted")
+
+                browser.close()
+                break
+
+        except Exception as e:
+            logger.error(f"Scraper error (attempt {attempt + 1}): {e}")
+            if attempt < RETRY_ATTEMPTS - 1:
+                logger.info(f"Retrying... Attempt {attempt + 2}/{RETRY_ATTEMPTS}")
+            else:
+                logger.error("All attempts failed")
+
+
+if __name__ == "__main__":
+    run_scraper()

OI EA/oi_scraper/requirements.txt

@@ -0,0 +1,3 @@
+playwright>=1.40.0
+python-dotenv>=1.0.0
+pandas>=2.2.0

OI EA/oi_scraper/run_scheduled.bat

@@ -0,0 +1,13 @@
+@echo off
+REM ==========================================
+REM CME OI Scraper - Scheduled Task Version
+REM For use with Windows Task Scheduler
+REM ==========================================
+
+REM Navigate to script directory
+cd /d %~dp0
+
+REM Activate virtual environment and run scraper (no pause)
+call venv\Scripts\activate.bat
+python main.py
+exit %ERRORLEVEL%

OI EA/oi_scraper/run_scraper.bat

@@ -0,0 +1,21 @@
+@echo off
+REM ==========================================
+REM CME OI Scraper - Run with Virtual Environment
+REM ==========================================
+
+REM Navigate to script directory
+cd /d %~dp0
+
+echo ==========================================
+echo CME OI Scraper
+echo ==========================================
+
+REM Activate virtual environment
+call venv\Scripts\activate.bat
+
+REM Run Python scraper
+python main.py
+
+REM Pause for 5 seconds if running manually (not scheduled)
+if "%1"=="--scheduled" goto :eof
+timeout /t 5

OI EA/oi_scraper/run_scraper.ps1

@@ -0,0 +1,77 @@
+# CME OI Scraper - PowerShell Script
+# Copy this file to: run_scraper.ps1
+
+# ==========================================
+# Configuration
+# ==========================================
+$scriptPath = "C:\Users\YourUsername\Gitea\MeanRevisionEA\oi_scraper"
+$logFile = "$scriptPath\scraper.log"
+$csvFile = "$scriptPath\oi_data.csv"
+$mt5Path = "C:\Users\YourUsername\AppData\Roaming\MetaQuotes\Terminal\[Your_Terminal_ID]\MQL5\Files\oi_data.csv"
+
+# ==========================================
+# Helper Functions
+# ==========================================
+function Write-Log {
+    param([string]$message)
+    $timestamp = Get-Date -Format "yyyy-MM-dd HH:mm:ss"
+    $logEntry = "[$timestamp] $message"
+    Write-Output $logEntry | Add-Content $logFile
+    Write-Host $logEntry
+}
+
+# ==========================================
+# Main Script
+# ==========================================
+
+# Navigate to script directory
+cd $scriptPath
+
+Write-Log "=========================================="
+Write-Log "CME OI Scraper - Daily Update"
+Write-Log "=========================================="
+
+try {
+    # Run Python scraper
+    Write-Log "Starting Python scraper..."
+    & python main.py *>> $logFile 2>&1
+    $exitCode = $LASTEXITCODE
+    
+    if ($exitCode -eq 0) {
+        Write-Log "Python scraper completed successfully"
+        
+        # Check if CSV was created
+        if (Test-Path $csvFile)) {
+            $fileInfo = Get-Item $csvFile
+            Write-Log "CSV file found (Last modified: $($fileInfo.LastWriteTime))"
+            
+            # Copy to MT5 directory
+            Write-Log "Copying CSV to MetaTrader 5 Files directory..."
+            
+            try {
+                Copy-Item -Path $csvFile -Destination $mt5Path -Force
+                Write-Log "CSV successfully copied to MT5 directory"
+                
+                # Verify copy
+                if (Test-Path $mt5Path)) {
+                    Write-Log "Verified: MT5 CSV file exists"
+                } else {
+                    Write-Log "ERROR: MT5 CSV file not found after copy"
+                }
+            } catch {
+                Write-Log "ERROR: Failed to copy to MT5 directory - $_"
+            }
+        } else {
+            Write-Log "WARNING: CSV file not found after scraper execution"
+        }
+    } else {
+        Write-Log "ERROR: Python scraper failed with exit code $exitCode"
+    }
+} catch {
+    Write-Log "ERROR: Script failed - $($_.Exception.Message)"
+    exit 1
+}
+
+Write-Log "=========================================="
+Write-Log "Script completed"
+Write-Log "=========================================="

OI EA/oi_scraper/run_with_venv.bat

@@ -0,0 +1,24 @@
+@echo off
+REM ==========================================
+REM CME OI Scraper - Manual Run with Virtual Environment
+REM ==========================================
+
+REM Navigate to script directory
+cd /d %~dp0
+
+echo ==========================================
+echo CME OI Scraper - Manual Run
+echo ==========================================
+
+REM Activate virtual environment
+call venv\Scripts\activate.bat
+
+REM Run Python scraper
+python main.py
+
+MOVE "oi_data.csv" "C:\Users\limitrack\AppData\Roaming\MetaQuotes\Terminal\53785E099C927DB68A545C249CDBCE06\MQL5\Files\"
+
+
+echo.
+echo Scraper completed. Check oi_data.csv for results.
+timeout /t 5

OI EA/oi_scraper/setup_env.bat

@@ -0,0 +1,34 @@
+@echo off
+REM ==========================================
+REM CME OI Scraper - Virtual Environment Setup
+REM ==========================================
+
+echo ==========================================
+echo Setting up Python Virtual Environment
+echo ==========================================
+
+REM Navigate to script directory
+cd /d %~dp0
+
+REM Create virtual environment
+echo Creating virtual environment...
+py -3 -m venv venv
+
+REM Activate virtual environment and install dependencies
+echo Installing dependencies...
+call venv\Scripts\activate.bat
+pip install --upgrade pip
+pip install -r requirements.txt
+
+REM Install playwright browser
+echo Installing Playwright browser...
+python -m playwright install chromium
+
+echo ==========================================
+echo Setup Complete!
+echo ==========================================
+echo.
+echo To run the scraper, use: run_with_venv.bat
+echo.
+
+pause

opencode.jsonc

@@ -0,0 +1,13 @@
+{
+  "$schema": "https://opencode.ai/config.json",
+  "mcp": {
+    "mql5_help": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "github:caoshuo594/mql5-help-mcp"
+      ]
+    }
+  }
+}