From 080a5f595cd5556e0c9564dab666a3e351645017 Mon Sep 17 00:00:00 2001
From: Jesus Torres <132933503+jdtp18@users.noreply.github.com>
Date: Thu, 24 Aug 2023 19:24:51 +0100
Subject: [PATCH] My submission

---
 main.py | 63 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 63 insertions(+)
 create mode 100644 main.py

diff --git a/main.py b/main.py
new file mode 100644
index 0000000..8265df2
--- /dev/null
+++ b/main.py
@@ -0,0 +1,63 @@
+import requests
+from datetime import datetime, timedelta
+from time import sleep  # <-- Added this line here
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# 2.2 set up global variables
+ALPHA_VANTAGE_API_KEY = os.getenv("ALPHA_VANTAGE_API_KEY")
+IFTTT_WEBHOOK_KEY = os.getenv("IFTTT_WEBHOOK_KEY")
+IFTTT_URL = f"https://maker.ifttt.com/trigger/stock_price_drop/with/key/{IFTTT_WEBHOOK_KEY}"
+STOCKS = ["TSLA", "AAPL", "MSFT", "GOOGL", "NKE"]  # Stock symbols for Tesla, Apple, Microsoft, Google, and Nike.
+PRICE_DROP_LIMIT = 0.25
+
+# 2.3 define function to get stock price:
+
+def get_stock_price(stock_symbol):
+    base_url = "https://www.alphavantage.co/query"
+    function = "TIME_SERIES_DAILY"
+    params = {
+        "function": function,
+        "symbol": stock_symbol,
+        "apikey": ALPHA_VANTAGE_API_KEY
+    }
+    response = requests.get(base_url, params=params).json()
+    print(response)  # <-- Added this line to debug
+    return response["Time Series (Daily)"]
+
+# 2.4 Define Function to Calculate the 7 Day Average:
+
+def calculate_seven_day_average(price_data):
+    last_seven_days = sorted(price_data.keys())[-7:]
+    return sum(float(price_data[day]["4. close"]) for day in last_seven_days) / 7
+
+# 2.5 Define a Function to Send Notification:
+
+def send_notification(stock, current_price, seven_day_avg):
+    data = {
+        "value1": stock,
+        "value2": f"£{current_price}",
+        "value3": f"£{seven_day_avg:.2f}"
+    }
+    requests.post(IFTTT_URL, data=data)
+
+# 2.6. Main Function to Monitor and Notify:
+
+def monitor_and_notify():
+    for stock in STOCKS:
+        price_data = get_stock_price(stock)
+        current_price = float(price_data[sorted(price_data.keys())[-1]]["4. close"])
+        seven_day_avg = calculate_seven_day_average(price_data)
+
+        if current_price <= seven_day_avg - PRICE_DROP_LIMIT or current_price < seven_day_avg:
+            send_notification(stock, current_price, seven_day_avg)
+
+# 2.7. Main Execution:
+
+if __name__ == "__main__":
+    while True:  # This creates an infinite loop
+        monitor_and_notify()
+        sleep(300)  # Sleep for 5 minutes