feat: add Freetrade portfolio tracker with price fetching and holdings CSV support

.gitignore

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+venv/
+__pycache__/
+*.pyc
+holdings.csv

README.md

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+# Freetrade Portfolio Tracker
+
+Fetches live stock prices from Freetrade and calculates portfolio holdings values.
+
+## Setup
+
+```bash
+python -m venv venv
+venv\Scripts\activate        # Windows
+source venv/bin/activate     # Linux/Mac
+
+pip install requests beautifulsoup4
+```
+
+## Usage
+
+Copy the sample file and add your own positions:
+
+```bash
+cp holdings.sample.csv holdings.csv
+```
+
+Format (`ticker,market,shares`):
+
+```csv
+GGP,GB,100
+PAF,GB,200
+SVM,US,50
+```
+
+Markets: `GB` for UK stocks, `US` for US-listed stocks.
+
+Run:
+
+```bash
+python price.py                  # uses holdings.csv by default
+python price.py my_portfolio.csv # custom file
+```
+
+Output (JSON):
+
+```json
+[
+  {
+    "ticker": "GGP",
+    "market": "GB",
+    "shares": 100,
+    "price": 7.67,
+    "total_value": 767.0
+  }
+]
+```

holdings.sample.csv

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+GGP,GB,100
+PAF,GB,200
+SVM,US,50

price.py

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+import re
+import json
+import csv
+import sys
+import requests
+from bs4 import BeautifulSoup
+
+def get_price(market, ticker):
+    url = f"https://web.freetrade.io/universe/{market}/{ticker}"
+    response = requests.get(url, headers={
+        "User-Agent": "Mozilla/5.0"
+    }, timeout=20)
+    text = BeautifulSoup(response.text, "html.parser").get_text(" ", strip=True)
+    m = re.search(r"Latest price\s*:\s*[£$]([0-9,.]+)", text)
+    if m:
+        return float(m.group(1).replace(",", ""))
+    return None
+
+holdings_file = sys.argv[1] if len(sys.argv) > 1 else "holdings.csv"
+
+results = []
+with open(holdings_file) as f:
+    reader = csv.reader(f)
+    for row in reader:
+        ticker, market, shares = row[0].strip(), row[1].strip(), int(row[2].strip())
+        price = get_price(market, ticker)
+        results.append({
+            "ticker": ticker,
+            "market": market,
+            "shares": shares,
+            "price": price,
+            "total_value": round(price * shares, 2) if price is not None else None
+        })
+
+print(json.dumps(results, indent=2))

requirements.txt

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+requests
+beautifulsoup4