From dcf629c67516d53684a3fb59c0d209f4e784d3da Mon Sep 17 00:00:00 2001
From: mithilg07 <mithilg25@iitk.ac.in>
Date: Sat, 13 Dec 2025 16:35:43 +0530
Subject: [PATCH] Add files via upload

---
 Assignment2_NVIDIA (1).ipynb | 160 +++++++++++++++++++++++++++++++++++
 1 file changed, 160 insertions(+)
 create mode 100644 Assignment2_NVIDIA (1).ipynb

diff --git a/Assignment2_NVIDIA (1).ipynb b/Assignment2_NVIDIA (1).ipynb
new file mode 100644
index 00000000..048dee88
--- /dev/null
+++ b/Assignment2_NVIDIA (1).ipynb	
@@ -0,0 +1,160 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "OisSwUF2UE3V",
+        "outputId": "eea053a9-0643-4824-b5e0-69117b7ab921"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[33mWARNING: pip index is currently an experimental command. It may be removed/changed in a future release without prior warning.\u001b[0m\u001b[33m\n",
+            "\u001b[0myfinance (0.2.66)\n",
+            "Available versions: 0.2.66, 0.2.65, 0.2.64, 0.2.63, 0.2.62, 0.2.61, 0.2.60, 0.2.59, 0.2.58, 0.2.57, 0.2.56, 0.2.55, 0.2.54, 0.2.53, 0.2.52, 0.2.51, 0.2.50, 0.2.49, 0.2.48, 0.2.47, 0.2.46, 0.2.45, 0.2.44, 0.2.43, 0.2.42, 0.2.41, 0.2.40, 0.2.39, 0.2.38, 0.2.37, 0.2.36, 0.2.35, 0.2.34, 0.2.33, 0.2.32, 0.2.31, 0.2.30, 0.2.29, 0.2.28, 0.2.27, 0.2.26, 0.2.25, 0.2.24, 0.2.23, 0.2.22, 0.2.21, 0.2.20, 0.2.19, 0.2.18, 0.2.17, 0.2.16, 0.2.15, 0.2.14, 0.2.13, 0.2.12, 0.2.11, 0.2.10, 0.2.9, 0.2.7, 0.2.6, 0.2.5, 0.2.4, 0.2.3, 0.2.2, 0.2.1, 0.1.96, 0.1.95, 0.1.94, 0.1.93, 0.1.92, 0.1.91, 0.1.90, 0.1.89, 0.1.87, 0.1.86, 0.1.85, 0.1.84, 0.1.83, 0.1.82, 0.1.81, 0.1.80, 0.1.79, 0.1.78, 0.1.77, 0.1.75, 0.1.74, 0.1.73, 0.1.72, 0.1.71, 0.1.70, 0.1.69, 0.1.68, 0.1.67, 0.1.66, 0.1.65, 0.1.64, 0.1.63, 0.1.62, 0.1.61, 0.1.60, 0.1.59, 0.1.58, 0.1.57, 0.1.56, 0.1.55, 0.1.54, 0.1.53, 0.1.52, 0.1.51, 0.1.50, 0.1.49, 0.1.48, 0.1.47, 0.1.46, 0.1.45, 0.1.44, 0.1.43, 0.1.42, 0.1.41, 0.1.40, 0.1.39, 0.1.38, 0.1.37, 0.1.36\n",
+            "  INSTALLED: 0.2.66\n",
+            "  LATEST:    0.2.66\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip index versions yfinance"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip index versions plotly"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "lBLduwjZU7gG",
+        "outputId": "2527c519-8098-479c-b813-b32cd5e1fa72"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[33mWARNING: pip index is currently an experimental command. It may be removed/changed in a future release without prior warning.\u001b[0m\u001b[33m\n",
+            "\u001b[0mplotly (6.5.0)\n",
+            "Available versions: 6.5.0, 6.4.0, 6.3.1, 6.3.0, 6.2.0, 6.1.2, 6.1.1, 6.1.0, 6.0.1, 6.0.0, 5.24.1, 5.24.0, 5.23.0, 5.22.0, 5.21.0, 5.20.0, 5.19.0, 5.18.0, 5.17.0, 5.16.1, 5.16.0, 5.15.0, 5.14.1, 5.14.0, 5.13.1, 5.13.0, 5.12.0, 5.11.0, 5.10.0, 5.9.0, 5.8.2, 5.8.1, 5.8.0, 5.7.0, 5.6.0, 5.5.0, 5.4.0, 5.3.1, 5.3.0, 5.2.2, 5.2.1, 5.1.0, 5.0.0, 4.14.3, 4.14.2, 4.14.1, 4.14.0, 4.13.0, 4.12.0, 4.11.0, 4.10.0, 4.9.0, 4.8.2, 4.8.1, 4.8.0, 4.7.1, 4.7.0, 4.6.0, 4.5.4, 4.5.3, 4.5.2, 4.5.1, 4.5.0, 4.4.1, 4.4.0, 4.3.0, 4.2.1, 4.2.0, 4.1.1, 4.1.0, 4.0.0, 3.10.0, 3.9.0, 3.8.1, 3.8.0, 3.7.1, 3.7.0, 3.6.1, 3.6.0, 3.5.0, 3.4.2, 3.4.1, 3.4.0, 3.3.0, 3.2.1, 3.2.0, 3.1.1, 3.1.0, 3.0.2, 3.0.0, 2.7.0, 2.6.0, 2.5.1, 2.5.0, 2.4.1, 2.4.0, 2.3.0, 2.2.3, 2.2.2, 2.2.1, 2.2.0, 2.1.0, 2.0.16, 2.0.15, 2.0.14, 2.0.13, 2.0.12, 2.0.11, 2.0.10, 2.0.9, 2.0.8, 2.0.7, 2.0.6, 2.0.5, 2.0.2, 2.0.1, 2.0.0, 1.13.0, 1.12.12, 1.12.11, 1.12.10, 1.12.9, 1.12.8, 1.12.7, 1.12.6, 1.12.5, 1.12.4, 1.12.3, 1.12.2, 1.12.1, 1.12.0, 1.11.0, 1.10.0, 1.9.13, 1.9.12, 1.9.11, 1.9.10, 1.9.9, 1.9.8, 1.9.7, 1.9.6, 1.9.5, 1.9.4, 1.9.3, 1.9.2, 1.9.1, 1.9.0, 1.8.12, 1.8.11, 1.8.8, 1.8.6, 1.8.5, 1.8.4, 1.8.3, 1.8.2, 1.8.1, 1.8.0, 1.7.9, 1.7.7, 1.7.6, 1.7.5, 1.7.4, 1.7.3, 1.7.2, 1.7.1, 1.7.0, 1.6.19, 1.6.17, 1.6.16, 1.6.15, 1.6.14, 1.6.13, 1.6.12, 1.6.11, 1.6.10, 1.6.9, 1.6.8, 1.6.7, 1.6.6, 1.6.4, 1.5.0, 1.4.14, 1.4.13, 1.4.12, 1.4.11, 1.4.10, 1.4.9, 1.4.7, 1.4.5, 1.4.4, 1.4.3, 1.4.2, 1.4.1, 1.4.0, 1.3.2, 1.3.1, 1.3.0, 1.2.9, 1.2.8, 1.2.7, 1.2.6, 1.2.4, 1.2.3, 1.2.2, 1.2.1, 1.2.0, 1.1.4, 1.1.3, 1.1.2, 1.1.1, 1.1.0, 1.0.34, 1.0.33, 1.0.32, 1.0.31, 1.0.30, 1.0.29, 1.0.28, 1.0.27, 1.0.26, 1.0.25, 1.0.24, 1.0.23, 1.0.22, 1.0.21, 1.0.20, 1.0.19, 1.0.18, 1.0.17, 1.0.16, 1.0.15, 1.0.14, 1.0.13, 1.0.12, 1.0.11, 1.0.10, 1.0.9, 1.0.8, 1.0.7, 1.0.6, 1.0.5, 1.0.4, 1.0.3, 1.0.2, 1.0.1, 1.0.0, 0.5.13, 0.5.12, 0.5.11, 0.5.10, 0.5.9, 0.5.8, 0.5.7, 0.5.6, 0.5.5, 0.5.4, 0.5.3, 0.5.2, 0.5.1, 0.5, 0.4, 0.3, 0.2\n",
+            "  INSTALLED: 5.24.1\n",
+            "  LATEST:    6.5.0\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import yfinance as yf\n",
+        "import plotly.graph_objects as go\n",
+        "ticker_symbol = 'NVDA'\n",
+        "ticker = yf.Ticker(ticker_symbol)\n",
+        "historical_data = ticker.history(period='6mo', interval='1d')\n",
+        "fig = go.Figure(data=[go.Candlestick(x=historical_data.index,  open=historical_data['Open'], high=historical_data['High'], low=historical_data['Low'],\n",
+        "    close=historical_data['Close'])])\n",
+        "fig.update_layout(title='Candlestick chart of NVIDIA', xaxis_title = 'Dates', yaxis_title = 'Price' )\n",
+        "fig.show()\n",
+        "\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "Bdyc-DW1VpO4",
+        "outputId": "911f3b78-a569-4169-c3a8-46284382bf43"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "<html>\n",
+              "<head><meta charset=\"utf-8\" /></head>\n",
+              "<body>\n",
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+              "</body>\n",
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+          "metadata": {}
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+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "**Engulfing bearish pattern**  \n",
+        "This pattern occured on 20th november 2025 .\n",
+        "\n",
+        "The prices of stocks got reduced,\n",
+        " this pattern marks end of the uptrend\n",
+        " ![Screenshot 2025-12-13 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+      ],
+      "metadata": {
+        "id": "pL_-ysy0nSTC"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "33Gau6j5tdpt"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file