diff --git a/un-spaghettified/core/coding/stock_price_chart.py b/un-spaghettified/core/coding/stock_price_chart.py
new file mode 100644
index 00000000..b6a0239b
--- /dev/null
+++ b/un-spaghettified/core/coding/stock_price_chart.py
@@ -0,0 +1,18 @@
+# filename: stock_price_chart.py
+import yfinance as yf
+import matplotlib.pyplot as plt
+
+# Define the ticker symbols for NVDA and TESLA
+tickers = ['NVDA', 'TSLA']
+
+# Fetch the historical stock price data for YTD
+data = yf.download(tickers, start='2021-01-01', end='2021-12-31')
+
+# Extract the 'Close' price column for each ticker
+close_prices = data['Close']
+
+# Plot the stock price change YTD
+close_prices.plot(title='Stock Price Change YTD', ylabel='Price (USD)')
+
+# Display the chart
+plt.show()
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diff --git a/un-spaghettified/core/stock_price_chart.py b/un-spaghettified/core/stock_price_chart.py
new file mode 100644
index 00000000..6c29f071
--- /dev/null
+++ b/un-spaghettified/core/stock_price_chart.py
@@ -0,0 +1,19 @@
+
+# filename: stock_price_chart.py
+import yfinance as yf
+import matplotlib.pyplot as plt
+
+# Define the ticker symbols for NVDA and TESLA
+tickers = ['NVDA', 'TSLA']
+
+# Fetch the historical stock price data for YTD
+data = yf.download(tickers, start='2021-01-01', end='2021-12-31')
+
+# Extract the 'Close' price column for each ticker
+close_prices = data['Close']
+
+# Plot the stock price change YTD
+close_prices.plot(title='Stock Price Change YTD', ylabel='Price (USD)')
+
+# Display the chart
+plt.show()
\ No newline at end of file
diff --git a/un-spaghettified/core/test.py b/un-spaghettified/core/test.py
new file mode 100644
index 00000000..ae398610
--- /dev/null
+++ b/un-spaghettified/core/test.py
@@ -0,0 +1,38 @@
+import sys
+from autogen import AssistantAgent, UserProxyAgent
+from dotenv import load_dotenv
+import os
+
+# Load the .env info
+load_dotenv()  
+api_key = os.getenv('OPENAI_API_KEY')
+
+print(sys.path)
+print("pyautogen imported successfully")
+
+config_list = [
+    {
+        "model": "gpt-3.5-turbo",
+        "api_key": api_key
+    }
+    # Add more configurations if needed
+]
+
+# Create AssistantAgent with the llm_config
+assistant = AssistantAgent(
+    name="assistant",
+    llm_config={
+        "seed": 42,
+        "config_list": config_list,
+        "temperature": 0,
+    }
+)
+
+# Create a UserProxyAgent with configuration for code execution
+user_proxy = UserProxyAgent(
+    name="user_proxy",
+    code_execution_config={"work_dir": "coding", "use_docker": False}  # Set to True to run code in docker
+)
+
+# Initiate a chat between the two agents to perform a task
+user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")