#100DaysOfCode

Day-36 stock news project/main.py

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+import requests
+
+STOCK_NAME = "TSLA"
+COMPANY_NAME = "Tesla Inc"
+
+STOCK_ENDPOINT = "https://www.alphavantage.co/query"
+NEWS_ENDPOINT = "https://newsdata.io/api/1/news"
+
+STOCK_API_KEY = "MA7DNTG68J4YZ5VF"
+NEWS_API_KEY = "pub_1718964480ce05e2acbf57136d6fb022a0a3a"
+
+stock_params = {
+    "function" : "TIME_SERIES_DAILY_ADJUSTED",
+    "symbol" : STOCK_NAME,
+    "apikey" : STOCK_API_KEY
+}
+response = requests.get(STOCK_ENDPOINT,params=stock_params)
+print(response.json())
+data = response.json()["Time Series (Daily)"]
+data_list = [value for (key, value) in data.items()]
+yesterday_data = data_list[0]
+yesterday_closing_price = yesterday_data["4. close"]
+print(yesterday_closing_price)
+
+#yesterday's closing stock price
+day_before_yesterday_data = data_list[1]
+day_before_yesterday_closing_price = day_before_yesterday_data["4. close"]
+print(day_before_yesterday_closing_price)
+
+#positive difference
+difference = abs(float(yesterday_closing_price) - float(day_before_yesterday_closing_price))
+print(difference)
+
+#percentage difference
+difference_percent = (difference / float(yesterday_closing_price)) * 100
+print(difference_percent)
+
+if difference_percent > 1:
+    news_params = {
+        "apiKey" : NEWS_API_KEY,
+        "qInTitle" : COMPANY_NAME,
+    }
+    news_response = requests.get(NEWS_ENDPOINT, params=news_params)
+    results = news_response.json()["results"]
+    print(results)