stock_chart_always.ipynb

{
 "cells": [
  {
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   "metadata": {},
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     "name": "stdout",
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     "text": [
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "Plot a chart of NVDA and TESLA stock price change YTD and save it as a png file.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "To plot a chart of stock price change YTD for NVDA and TESLA and save it as a PNG file, you can use the `yfinance` library to retrieve the historical stock data and the `matplotlib` library to plot the chart.\n",
      "\n",
      "Here's a step-by-step guide:\n",
      "\n",
      "1. Install the required libraries by running the following command:\n",
      "```sh\n",
      "pip install yfinance matplotlib\n",
      "```\n",
      "\n",
      "2. Import the necessary libraries in Python:\n",
      "```python\n",
      "import yfinance as yf\n",
      "import matplotlib.pyplot as plt\n",
      "```\n",
      "\n",
      "3. Use `yfinance` to retrieve the historical stock data for NVDA and TESLA:\n",
      "```python\n",
      "nvda = yf.download(\"NVDA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "tesla = yf.download(\"TSLA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "```\n",
      "\n",
      "4. Calculate the year-to-date percentage change for both stocks:\n",
      "```python\n",
      "nvda['YTD Change'] = (nvda['Close'] - nvda['Close'].iloc[0]) / nvda['Close'].iloc[0] * 100\n",
      "tesla['YTD Change'] = (tesla['Close'] - tesla['Close'].iloc[0]) / tesla['Close'].iloc[0] * 100\n",
      "```\n",
      "\n",
      "5. Plot the YTD change for both stocks on the same chart:\n",
      "```python\n",
      "plt.plot(nvda.index, nvda['YTD Change'], label='NVDA')\n",
      "plt.plot(tesla.index, tesla['YTD Change'], label='TESLA')\n",
      "plt.xlabel('Date')\n",
      "plt.ylabel('YTD Change (%)')\n",
      "plt.title('NVDA and TESLA Stock Price Change YTD')\n",
      "plt.legend()\n",
      "plt.grid(True)\n",
      "```\n",
      "\n",
      "6. Save the chart as a PNG file:\n",
      "```python\n",
      "plt.savefig('stock_price_change.png')\n",
      "```\n",
      "\n",
      "7. Complete code:\n",
      "```python\n",
      "import yfinance as yf\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "nvda = yf.download(\"NVDA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "tesla = yf.download(\"TSLA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "\n",
      "nvda['YTD Change'] = (nvda['Close'] - nvda['Close'].iloc[0]) / nvda['Close'].iloc[0] * 100\n",
      "tesla['YTD Change'] = (tesla['Close'] - tesla['Close'].iloc[0]) / tesla['Close'].iloc[0] * 100\n",
      "\n",
      "plt.plot(nvda.index, nvda['YTD Change'], label='NVDA')\n",
      "plt.plot(tesla.index, tesla['YTD Change'], label='TESLA')\n",
      "plt.xlabel('Date')\n",
      "plt.ylabel('YTD Change (%)')\n",
      "plt.title('NVDA and TESLA Stock Price Change YTD')\n",
      "plt.legend()\n",
      "plt.grid(True)\n",
      "\n",
      "plt.savefig('stock_price_change.png')\n",
      "```\n",
      "\n",
      "After executing the code, you can find the generated PNG file named `stock_price_change.png` in the current directory.\n",
      "\n",
      "Please note: The code above assumes that you have a stable internet connection and the stock symbols \"NVDA\" and \"TSLA\" are valid.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[31m\n",
      ">>>>>>>> NO HUMAN INPUT RECEIVED.\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> USING AUTO REPLY...\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is sh)...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "execute_code was called with use_docker evaluating to True, but the python docker package is not available. Falling back to native code execution. Note: this fallback behavior is subject to change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31m\n",
      ">>>>>>>> EXECUTING CODE BLOCK 1 (inferred language is python)...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "execute_code was called with use_docker evaluating to True, but the python docker package is not available. Falling back to native code execution. Note: this fallback behavior is subject to change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31m\n",
      ">>>>>>>> EXECUTING CODE BLOCK 2 (inferred language is python)...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "execute_code was called with use_docker evaluating to True, but the python docker package is not available. Falling back to native code execution. Note: this fallback behavior is subject to change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "exitcode: 1 (execution failed)\n",
      "Code output: \n",
      "Requirement already satisfied: yfinance in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (0.2.31)\n",
      "Requirement already satisfied: matplotlib in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (3.8.0)\n",
      "Requirement already satisfied: pandas>=1.3.0 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (2.1.1)\n",
      "Requirement already satisfied: numpy>=1.16.5 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (1.26.0)\n",
      "Requirement already satisfied: requests>=2.31 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (2.31.0)\n",
      "Requirement already satisfied: multitasking>=0.0.7 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (0.0.11)\n",
      "Requirement already satisfied: lxml>=4.9.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (4.9.3)\n",
      "Requirement already satisfied: appdirs>=1.4.4 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (1.4.4)\n",
      "Requirement already satisfied: pytz>=2022.5 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (2023.3.post1)\n",
      "Requirement already satisfied: frozendict>=2.3.4 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (2.3.8)\n",
      "Requirement already satisfied: peewee>=3.16.2 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (3.17.0)\n",
      "Requirement already satisfied: beautifulsoup4>=4.11.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (4.12.2)\n",
      "Requirement already satisfied: html5lib>=1.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from yfinance) (1.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (1.1.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (4.43.1)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (1.4.5)\n",
      "Requirement already satisfied: packaging>=20.0 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (23.2)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (10.0.1)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (3.1.1)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: soupsieve>1.2 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.5)\n",
      "Requirement already satisfied: six>=1.9 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from html5lib>=1.1->yfinance) (1.16.0)\n",
      "Requirement already satisfied: webencodings in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from pandas>=1.3.0->yfinance) (2023.3)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from requests>=2.31->yfinance) (3.3.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from requests>=2.31->yfinance) (3.4)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from requests>=2.31->yfinance) (2.0.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /projects/xukecheng/APITable-LLMs-Enhancement-Experiments/.venv/lib/python3.11/site-packages (from requests>=2.31->yfinance) (2023.7.22)\n",
      "\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"\", line 1, in <module>\n",
      "    nvda = yf.download(\"NVDA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "           ^^\n",
      "NameError: name 'yf' is not defined\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "It seems that there was an error in the code. The error message suggests that the name 'yf' is not defined.\n",
      "\n",
      "This error occurs because the 'yfinance' library was not imported correctly. To fix this, let's update the code to import the 'yfinance' library using its full name.\n",
      "\n",
      "Here's the updated code:\n",
      "\n",
      "```python\n",
      "import matplotlib.pyplot as plt\n",
      "import yfinance as yfinance\n",
      "\n",
      "nvda = yfinance.download(\"NVDA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "tesla = yfinance.download(\"TSLA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "\n",
      "nvda['YTD Change'] = (nvda['Close'] - nvda['Close'].iloc[0]) / nvda['Close'].iloc[0] * 100\n",
      "tesla['YTD Change'] = (tesla['Close'] - tesla['Close'].iloc[0]) / tesla['Close'].iloc[0] * 100\n",
      "\n",
      "plt.plot(nvda.index, nvda['YTD Change'], label='NVDA')\n",
      "plt.plot(tesla.index, tesla['YTD Change'], label='TESLA')\n",
      "plt.xlabel('Date')\n",
      "plt.ylabel('YTD Change (%)')\n",
      "plt.title('NVDA and TESLA Stock Price Change YTD')\n",
      "plt.legend()\n",
      "plt.grid(True)\n",
      "\n",
      "plt.savefig('stock_price_change.png')\n",
      "```\n",
      "\n",
      "Please try executing the updated code, and let me know if you encounter any further issues or errors.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[31m\n",
      ">>>>>>>> NO HUMAN INPUT RECEIVED.\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> USING AUTO REPLY...\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "execute_code was called with use_docker evaluating to True, but the python docker package is not available. Falling back to native code execution. Note: this fallback behavior is subject to change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "exitcode: 0 (execution succeeded)\n",
      "Code output: \n",
      "\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "Great! The code executed successfully without any errors. It seems that the stock data for both NVDA and TESLA has been downloaded. \n",
      "\n",
      "Now you should be able to find the generated PNG file named `stock_price_change.png` in the current directory. You can open the file to view the plotted chart of the stock price change YTD for NVDA and TESLA.\n",
      "\n",
      "If you have any further questions or need assistance with anything else, feel free to ask!\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "Add Apple\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "To add Apple stock to the existing chart, you can modify the code as follows:\n",
      "\n",
      "```python\n",
      "import matplotlib.pyplot as plt\n",
      "import yfinance as yf\n",
      "\n",
      "nvda = yf.download(\"NVDA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "tesla = yf.download(\"TSLA\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "apple = yf.download(\"AAPL\", start=\"2021-01-01\", end=\"2021-12-31\")\n",
      "\n",
      "nvda['YTD Change'] = (nvda['Close'] - nvda['Close'].iloc[0]) / nvda['Close'].iloc[0] * 100\n",
      "tesla['YTD Change'] = (tesla['Close'] - tesla['Close'].iloc[0]) / tesla['Close'].iloc[0] * 100\n",
      "apple['YTD Change'] = (apple['Close'] - apple['Close'].iloc[0]) / apple['Close'].iloc[0] * 100\n",
      "\n",
      "plt.plot(nvda.index, nvda['YTD Change'], label='NVDA')\n",
      "plt.plot(tesla.index, tesla['YTD Change'], label='TESLA')\n",
      "plt.plot(apple.index, apple['YTD Change'], label='APPLE')\n",
      "plt.xlabel('Date')\n",
      "plt.ylabel('YTD Change (%)')\n",
      "plt.title('Stock Price Change YTD')\n",
      "plt.legend()\n",
      "plt.grid(True)\n",
      "\n",
      "plt.savefig('stock_price_change.png')\n",
      "```\n",
      "\n",
      "In this code, we added the line `apple = yf.download(\"AAPL\", start=\"2021-01-01\", end=\"2021-12-31\")` to download the Apple stock data. Then, we calculated the YTD change for Apple stock and added it to the chart using `plt.plot`. \n",
      "\n",
      "Please execute the updated code, and you should see the stock price change YTD chart with three stocks: NVDA, TESLA, and APPLE. The chart will be saved as `stock_price_change.png`.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[31m\n",
      ">>>>>>>> NO HUMAN INPUT RECEIVED.\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> USING AUTO REPLY...\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "execute_code was called with use_docker evaluating to True, but the python docker package is not available. Falling back to native code execution. Note: this fallback behavior is subject to change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "exitcode: 0 (execution succeeded)\n",
      "Code output: \n",
      "\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "Great! The updated code executed successfully without any errors. It seems that the stock data for Apple has been downloaded, and the chart now includes the YTD change for all three stocks: NVDA, TESLA, and APPLE.\n",
      "\n",
      "You can find the updated chart with the three stocks in the `stock_price_change.png` file.\n",
      "\n",
      "If you have any more questions or need further assistance, feel free to ask!\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[31m\n",
      ">>>>>>>> NO HUMAN INPUT RECEIVED.\u001b[0m\n",
      "\u001b[31m\n",
      ">>>>>>>> USING AUTO REPLY...\u001b[0m\n",
      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
      "\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
      "\n",
      "It seems that you haven't mentioned what you would like to do next. Please let me know if there's anything else I can help you with.\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "from autogen import AssistantAgent, UserProxyAgent, config_list_from_json\n",
    "\n",
    "config_list = config_list_from_json(env_or_file=\"OAI_CONFIG_LIST\")\n",
    "assistant = AssistantAgent(\"assistant\", llm_config={\"config_list\": config_list})\n",
    "user_proxy = UserProxyAgent(\n",
    "    \"user_proxy\",\n",
    "    human_input_mode=\"ALWAYS\",\n",
    "    max_consecutive_auto_reply=10,\n",
    "    code_execution_config={\"work_dir\": \"coding\"},\n",
    ")\n",
    "user_proxy.initiate_chat(\n",
    "    assistant,\n",
    "    message=\"Plot a chart of NVDA and TESLA stock price change YTD and save it as a png file.\",\n",
    ")"
   ]
  }
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