Add an example agent for stock marker mini tracker.

Author: rohitprasad15

examples/agents/stock_market_mini_tracker.ipynb

@@ -4,13 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Stock Market Tracker - Minimal Agent Demo\n",
+    "# Stock Market Tracker - Multi-step Agent in a single prompt\n",
     "\n",
-    "This notebook shows how **easy** it is to build an autonomous agent with aisuite + MCP tools.\n",
+    "This notebook shows how **easy** it is to build a multi-step agent using a single prompt with aisuite + MCP tools.\n",
     "\n",
-    "**What it does**: Fetches latest stock market data and creates an HTML dashboard - all autonomously!\n",
+    "**What it does**: 1. Fetches latest stock market data, 2. Analyzes content and 3. Creates an HTML dashboard.\n",
     "\n",
-    "**Requirements**: `ANTHROPIC_API_KEY` in your `.env` file"
+    "**Requirements**: `OPENAI_API_KEY` in your `.env` file"
    ]
   },
   {
@@ -56,7 +56,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Craft instructions, and run Agent."
+    "## Craft instructions"
    ]
   },
   {
@@ -112,6 +112,13 @@
     "print(\"✓ Agent instructions defined\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run Agent with MCP tools."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -126,13 +133,13 @@
       "✓ DASHBOARD CREATED!\n",
       "============================================================\n",
       "\n",
-      "Summary:\n",
-      "- File created: stock_dashboard.html with a professional responsive dashboard.\n",
-      "- Number of stocks: 5\n",
-      "- Top 3 gainers (by % change): \n",
-      "  1) GLTO +248.49%\n",
-      "  2) COGT +119.03%\n",
-      "  3) NVTS +22.45%\n"
+      "The stock market dashboard for November 11, 2025, has been successfully created and saved as 'stock_dashboard.html'. It displays the top 5 stock gainers with a professional layout. Here are the top 3 gainers:\n",
+      "\n",
+      "1. **Cogent Biosciences, Inc. (COGT)** - +119.03%\n",
+      "2. **Navitas Semiconductor Corporation (NVTS)** - +22.45%\n",
+      "3. **Opendoor Technologies Inc. (OPEN)** - +21.77%\n",
+      "\n",
+      "The dashboard includes modern typography, responsive design, and highlights positive percentage changes in green.\n"
      ]
     }
    ],
@@ -142,7 +149,7 @@
     "tools = fetch_mcp.get_callable_tools() + filesystem_mcp.get_callable_tools()\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"openai:gpt-5\",\n",
+    "    model=\"openai:gpt-4o\",\n",
     "    messages=[{\"role\": \"user\", \"content\": prompt}],\n",
     "    tools=tools,\n",
     "    max_turns=20\n",
@@ -181,7 +188,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x10b617b60>"
+       "<IPython.lib.display.IFrame at 0x114517b60>"
       ]
      },
      "metadata": {},
@@ -232,17 +239,20 @@
     "\n",
     "## That's It!\n",
     "\n",
-    "In just **~30 lines of code**, you built an autonomous agent that:\n",
+    "In just **few lines of code**, you built an autonomous agent that:\n",
     "- ✅ Fetches live stock data from the web\n",
     "- ✅ Creates a beautiful HTML dashboard\n",
     "- ✅ Saves it to disk\n",
-    "- ✅ All without manual tool execution!\n",
     "\n",
     "**Try it yourself**:\n",
-    "- Modify the prompt to fetch different data\n",
-    "- Change the output format (JSON, CSV, etc.)\n",
+    "- Modify the prompt to fetch TOP losers and gainers.\n",
+    "- Modify to fetch data across multiple days.\n",
+    "- Modify to fetch headlines from any Finance News website to explain why stocks rose or fell. (NOTE: Many websites do not like automated calls - be mindful of their policies.)\n",
+    "- Try asking Agent to plot a graph with the data in the HTML page.\n",
     "- Add more MCP tools (memory, search, etc.)\n",
     "\n",
+    "Remember to **increase max_turns** to a higher number if you increase the complexity of the tasks.\n",
+    "\n",
     "**Learn more**: Check out other notebooks in `examples/agents/`"
    ]
   }