diff --git a/notebooks/feat_list_available_indicators.ipynb b/notebooks/feat_list_available_indicators.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a484e963",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %%\n",
+    "# filename: feat_list_available_indicators_grouped.ipynb\n",
+    "# Purpose: To list all available indicators from the primary TA libraries,\n",
+    "#          grouped by category and sorted alphabetically.\n",
+    "\n",
+    "import talib\n",
+    "import pandas_ta as ta\n",
+    "import tulipy as ti\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31ee8f84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %%\n",
+    "# --- 1. TA-Lib ---\n",
+    "# TA-Lib provides a dictionary of function groups, which is perfect for this task.\n",
+    "\n",
+    "print(\"--- TA-Lib Available Functions (Grouped & Sorted) ---\")\n",
+    "talib_groups = talib.get_function_groups()\n",
+    "\n",
+    "# Sort the group names alphabetically\n",
+    "sorted_group_names = sorted(talib_groups.keys())\n",
+    "\n",
+    "for group in sorted_group_names:\n",
+    "    print(f\"\\n# Group: {group}\")\n",
+    "    # Sort the function names within each group alphabetically\n",
+    "    sorted_functions = sorted(talib_groups[group])\n",
+    "    print(sorted_functions)\n",
+    "\n",
+    "print(\"\\n\" + \"=\"*50 + \"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8ede729f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %%\n",
+    "# --- 2. pandas-ta ---\n",
+    "# pandas-ta stores its indicators in a well-structured `ta.Category` dictionary.\n",
+    "\n",
+    "print(\"--- pandas-ta Available Indicators (Grouped & Sorted) ---\")\n",
+    "\n",
+    "# The keys of the ta.Category dictionary are the group names\n",
+    "sorted_categories = sorted(ta.Category.keys())\n",
+    "\n",
+    "for category in sorted_categories:\n",
+    "    # The values are the lists of indicator names\n",
+    "    indicator_list = ta.Category[category]\n",
+    "    if isinstance(indicator_list, list): # Ensure it's a list\n",
+    "        print(f\"\\n# Category: {category}\")\n",
+    "        print(sorted(indicator_list))\n",
+    "\n",
+    "print(\"\\n\" + \"=\"*50 + \"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f80feff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %%\n",
+    "# --- 3. Tulip Indicators (tulipy) ---\n",
+    "# By inspecting a function object, we discovered it has a '.type' attribute\n",
+    "# which can be used for grouping, similar to TA-Lib.\n",
+    "\n",
+    "print(\"--- Tulip Indicators (tulipy) Available Functions (Grouped & Sorted) ---\")\n",
+    "\n",
+    "# Create a dictionary to hold the groups\n",
+    "tulip_groups = {}\n",
+    "\n",
+    "# Find all potential function names\n",
+    "potential_functions = [func for func in dir(ti) if not func.startswith('_') and func.islower()]\n",
+    "\n",
+    "for func_name in potential_functions:\n",
+    "    # Get the actual function object from the module\n",
+    "    func_obj = getattr(ti, func_name)\n",
+    "\n",
+    "    # Check if the object has the '.type' attribute (it's a proper indicator)\n",
+    "    if hasattr(func_obj, 'type'):\n",
+    "        group_name = func_obj.type\n",
+    "\n",
+    "        # If the group doesn't exist in our dictionary, create it\n",
+    "        if group_name not in tulip_groups:\n",
+    "            tulip_groups[group_name] = []\n",
+    "\n",
+    "        # Add the function name to the correct group\n",
+    "        tulip_groups[group_name].append(func_name)\n",
+    "\n",
+    "# Now, print the grouped and sorted results\n",
+    "sorted_group_names = sorted(tulip_groups.keys())\n",
+    "\n",
+    "for group in sorted_group_names:\n",
+    "    print(f\"\\n# Group: {group}\")\n",
+    "    # Sort the function names within each group alphabetically\n",
+    "    sorted_functions = sorted(tulip_groups[group])\n",
+    "    print(sorted_functions)\n",
+    "\n",
+    "print(\"\\n\" + \"=\"*50 + \"\\n\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "strategy-optimizer_env_bck",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
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+ "nbformat_minor": 5
+}