refactor(oi): improve data extraction and consolidate documentation

- Fix MQL5 API usage in EA to use correct CopyRates and POSITION_TYPE enums
- Refactor scraper data extraction to use drop_duplicates for unique strikes
- Consolidate Windows setup guide into main README
- Add virtual environment batch files for easier setup and execution
- Simplify run_scraper.bat to focus on core execution
- Normalize lot calculation to use SymbolInfo.LotsStep()

oi_scraper/main.py

@@ -1,3 +1,11 @@
+#!/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
@@ -212,19 +220,24 @@ def extract_oi_data(page):
 
     if call_levels:
         call_df = pd.DataFrame(call_levels)
-        call_df = call_df.groupby("Strike", as_index=False).agg({"OI": "max"})
-        call_df = call_df.nlargest(TOP_N_STRIKES, "OI")
+        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.groupby("Strike", as_index=False).agg({"OI": "max"})
-        put_df = put_df.nlargest(TOP_N_STRIKES, "OI")
+        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], ignore_index=True)
+    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
@@ -327,7 +340,7 @@ def run_scraper():
                 oi_data = extract_oi_data(page)
                 save_cookies(context)
 
-                if not oi_data.empty:
+                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}")