rsi.ipynb

rsi.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/halityurttas/d646dcd8b85bbfb23395fa831b6bcfb5/rsi.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0t5aAZPxBHe5",
        "outputId": "cb5e2e65-1dbd-4bd4-cc74-fda94d632875"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "            Close        RSI  Overbought  Oversold\n",
            "Date                                              \n",
            "2023-01-01    120        NaN       False     False\n",
            "2023-01-02    115        NaN       False     False\n",
            "2023-01-03    110        NaN       False     False\n",
            "2023-01-04    115        NaN       False     False\n",
            "2023-01-05    120        NaN       False     False\n",
            "2023-01-06    125        NaN       False     False\n",
            "2023-01-07    130        NaN       False     False\n",
            "2023-01-08    135        NaN       False     False\n",
            "2023-01-09    140        NaN       False     False\n",
            "2023-01-10    145        NaN       False     False\n",
            "2023-01-11    140        NaN       False     False\n",
            "2023-01-12    135        NaN       False     False\n",
            "2023-01-13    130        NaN       False     False\n",
            "2023-01-14    125  53.846154       False     False\n",
            "2023-01-15    120  50.000000       False     False\n",
            "2023-01-16    115  50.000000       False     False\n",
            "2023-01-17    110  50.000000       False     False\n",
            "2023-01-18    105  42.857143       False     False\n",
            "2023-01-19    115  46.666667       False     False\n",
            "2023-01-20    110  40.000000       False     False\n",
            "2023-01-21    105  33.333333       False     False\n",
            "2023-01-22    100  26.666667       False      True\n",
            "2023-01-23     95  20.000000       False      True\n",
            "2023-01-24     90  13.333333       False      True\n",
            "2023-01-25     85  13.333333       False      True\n",
            "2023-01-26     80  13.333333       False      True\n",
            "2023-01-27     75  13.333333       False      True\n",
            "2023-01-28     70  13.333333       False      True\n",
            "2023-01-29     65  13.333333       False      True\n",
            "2023-01-30     60  13.333333       False      True\n",
            "2023-01-31     55  13.333333       False      True\n",
            "2023-02-01     50  13.333333       False      True\n",
            "2023-02-02     45   0.000000       False      True\n",
            "2023-02-03     40   0.000000       False      True\n",
            "2023-02-04     35   0.000000       False      True\n",
            "2023-02-05     30   0.000000       False      True\n",
            "2023-02-06     25   0.000000       False      True\n",
            "2023-02-07     20   0.000000       False      True\n",
            "2023-02-08     15   0.000000       False      True\n",
            "2023-02-09     10   0.000000       False      True\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Örnek veri oluşturma (kapanış fiyatları)\n",
        "# baş omuz baş formasyonu ile başlayıp düşüş trendi ile devam eden bir veri seti oluşturduk\n",
        "data = {\n",
        "    'Date': pd.date_range(start='2023-01-01', periods=40, freq='D'),\n",
        "    'Close': [\n",
        "        120, 115, 110, 115, 120, 125, 130, 135, 140, 145,\n",
        "        140, 135, 130, 125, 120, 115, 110, 105, 115, 110,\n",
        "        105, 100,  95,  90,  85,  80,  75,  70,  65,  60,\n",
        "        55,  50,  45,  40,  35,  30,  25,  20,  15,  10\n",
        "    ]\n",
        "}\n",
        "\n",
        "df = pd.DataFrame(data)\n",
        "df.set_index('Date', inplace=True)\n",
        "\n",
        "# Veriyi görselleştir\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(df['Close'], label='Close')\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# RSI hesaplama fonksiyonu\n",
        "def calculate_rsi(data, period=14):\n",
        "    delta = data['Close'].diff()\n",
        "    gain = (delta.where(delta > 0, 0)).rolling(window=period).mean()\n",
        "    loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean()\n",
        "\n",
        "    rs = gain / loss\n",
        "    rsi = 100 - (100 / (1 + rs))\n",
        "\n",
        "    return rsi\n",
        "\n",
        "# RSI hesapla\n",
        "df['RSI'] = calculate_rsi(df)\n",
        "\n",
        "# RSI'ın 70 ve 30 seviyelerini aştığı zamanları bul\n",
        "df['Overbought'] = df['RSI'] > 70\n",
        "df['Oversold'] = df['RSI'] < 30\n",
        "\n",
        "# Sonuçları göster\n",
        "print(df[['Close', 'RSI', 'Overbought', 'Oversold']])\n",
        "\n",
        "# Sonuçları görselleştir\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(df['RSI'], label='RSI')\n",
        "plt.axhline(70, linestyle='--', color='r')\n",
        "plt.axhline(30, linestyle='--', color='g')\n",
        "plt.legend()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aYugJmJeBHe7",
        "outputId": "b6f0a456-9d29-4b72-e61a-a2d91300772a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "            Close        RSI  Overbought  Oversold\n",
            "Date                                              \n",
            "2023-01-08    135        NaN       False     False\n",
            "2023-01-09    140        NaN       False     False\n",
            "2023-01-10    145        NaN       False     False\n",
            "2023-01-11    140        NaN       False     False\n",
            "2023-01-12    135        NaN       False     False\n",
            "2023-01-13    130        NaN       False     False\n",
            "2023-01-14    125  53.846154       False     False\n",
            "2023-01-15    120  50.000000       False     False\n",
            "2023-01-16    115  50.000000       False     False\n",
            "2023-01-17    110  50.000000       False     False\n",
            "2023-01-18    105  42.857143       False     False\n",
            "2023-01-19    115  46.666667       False     False\n",
            "2023-01-20    110  40.000000       False     False\n",
            "2023-01-21    105  33.333333       False     False\n",
            "2023-01-22    100  26.666667       False      True\n"
          ]
        },
        {
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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#Son Oversold oluşan tarihten ve bu tarihten önceki 14 kaydı göster\n",
        "overbought = df[df['Oversold']].head(1).index[0]\n",
        "print(df.loc[overbought - pd.DateOffset(days=14):overbought])\n",
        "\n",
        "#veriyi görselleştir\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(df['Close'], label='Close')\n",
        "plt.plot(df['Close'].loc[overbought - pd.DateOffset(days=14):overbought], 'ro', label='Oversold')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": ".venv",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.8"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}