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QRAT2025
File size: 68,893 Bytes
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e67c5b2",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "//@version=5\n",
    "indicator(\"6 Custom Key Labels with Date\", overlay=true)\n",
    "// === Date Formatter Function ===\n",
    "f_format_date(ts) =>\n",
    "    // Convert timestamp to UTC time\n",
    "    ts_utc = timestamp(\"UTC\", year(ts), month(ts), dayofmonth(ts),16, 0)  // Set the time to 04:00 UTC\n",
    "\n",
    "    day_of_week = dayofweek(ts_utc) == 1 ? \"Sun\" : dayofweek(ts_utc) == 2 ? \"Mon\" : dayofweek(ts_utc) == 3 ? \"Tue\" : dayofweek(ts_utc) == 4 ? \"Wed\" : dayofweek(ts_utc) == 5 ? \"Thu\" : dayofweek(ts_utc) == 6 ? \"Fri\" : \"Sat\"\n",
    "    day_of_month = month(ts_utc) == 12 ? \"Dec\" : month(ts_utc) == 1 ? \"Jan\" : month(ts_utc) == 2 ? \"Feb\" : month(ts_utc) == 3 ? \"Mar\" : month(ts_utc) == 4 ? \"Apr\" : month(ts_utc) == 5 ? \"May\" : month(ts_utc) == 6 ? \"Jun\" : month(ts_utc) == 7 ? \"Jul\" : month(ts_utc) == 8 ? \"Aug\" : month(ts_utc) == 9 ? \"Sep\" : month(ts_utc) == 10 ? \"Oct\" : \"Nov\"\n",
    "    day_of_week + \"'\" + day_of_month + \"-\" + str.tostring(dayofmonth(ts_utc))\n",
    "\n",
    "_ = input.bool(true, title=\"\", group=\"YESTERDAY's YESTERDAY KEY LEVELS\")\n",
    "\n",
    "selected_date1 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_1 = input.float(0, \"-2YK High  -----------\", step=0.1)\n",
    "input_color_1 = input.color(color.red, \"Color\")\n",
    "\n",
    "selected_date2 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_2 = input.float(0, \"-2YK Mid  -----------\", step=0.1)\n",
    "input_color_2 = input.color(color.green, \"Color\")\n",
    "\n",
    "selected_date3 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_3 = input.float(0, \"-2YK Low  -----------\", step=0.1)\n",
    "input_color_3 = input.color(color.red, \"Color\")\n",
    "\n",
    "_ = input.bool(true, title=\"\", group=\"YESTERDAY's KEY LEVELS\")\n",
    "\n",
    "selected_date4 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_4 = input.float(0, \"-1YK High  -----------\", step=0.1)\n",
    "input_color_4 = input.color(color.red, \"Color\")\n",
    "\n",
    "selected_date5 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_5 = input.float(0, \"-1YK Mid  -----------\", step=0.1)\n",
    "input_color_5 = input.color(color.green, \"Color\")\n",
    "\n",
    "selected_date6 = input.time(timestamp(\"2024-04-29 04:00 +0000\"), title=\"Select Date\")\n",
    "input_price_6 = input.float(0, \"-1YK Low  -----------\", step=0.1)\n",
    "input_color_6 = input.color(color.red, \"Color\")\n",
    "\n",
    "\n",
    "// === Labels and Lines ===\n",
    "\n",
    "// K1\n",
    "var label lb1 = na\n",
    "var line ln1 = na\n",
    "if input_price_1 != 0\n",
    "    if na(lb1)\n",
    "        lb1 := label.new(x=bar_index + 5,y=input_price_1,text=\"High \" + str.tostring(input_price_1) + \" \" + f_format_date(selected_date1),style=label.style_label_left,color=color.new(input_color_1, 100),textcolor=input_color_1,size=size.tiny,yloc=yloc.price)\n",
    "        ln1 := line.new(x1=bar_index + 4, y1=input_price_1, x2=bar_index + 5, y2=input_price_1, color=input_color_1, width=1)\n",
    "    label.set_xy(lb1, bar_index + 5, input_price_1)\n",
    "    line.set_xy1(ln1, bar_index - 300, input_price_1)\n",
    "    line.set_xy2(ln1, bar_index + 5, input_price_1)\n",
    "\n",
    "// K2\n",
    "var label lb2 = na\n",
    "var line ln2 = na\n",
    "if input_price_2 != 0\n",
    "    if na(lb2)\n",
    "        lb2 := label.new(x=bar_index + 5,y=input_price_2,text=\"Mid \" + str.tostring(input_price_2) + \" \" + f_format_date(selected_date2),style=label.style_label_left,color=color.new(input_color_2, 100),textcolor=input_color_2,size=size.tiny,yloc=yloc.price)\n",
    "        ln2 := line.new(x1=bar_index + 4, y1=input_price_2, x2=bar_index + 5, y2=input_price_2, color=input_color_2, width=1)\n",
    "    label.set_xy(lb2, bar_index + 5, input_price_2)\n",
    "    line.set_xy1(ln2, bar_index - 300, input_price_2)\n",
    "    line.set_xy2(ln2, bar_index + 5, input_price_2)\n",
    "\n",
    "// K3\n",
    "var label lb3 = na\n",
    "var line ln3 = na\n",
    "if input_price_3 != 0\n",
    "    if na(lb3)\n",
    "        lb3 := label.new(x=bar_index + 5,y=input_price_3,text=\"Low \" + str.tostring(input_price_3) + \" \" + f_format_date(selected_date3),style=label.style_label_left,color=color.new(input_color_3, 100),textcolor=input_color_3,size=size.tiny,yloc=yloc.price)\n",
    "        ln3 := line.new(x1=bar_index + 4, y1=input_price_3, x2=bar_index + 5, y2=input_price_3, color=input_color_3, width=1)\n",
    "    label.set_xy(lb3, bar_index + 5, input_price_3)\n",
    "    line.set_xy1(ln3, bar_index - 300, input_price_3)\n",
    "    line.set_xy2(ln3, bar_index + 5, input_price_3)\n",
    "\n",
    "// K4\n",
    "var label lb4 = na\n",
    "var line ln4 = na\n",
    "if input_price_4 != 0\n",
    "    if na(lb4)\n",
    "        lb4 := label.new(x=bar_index + 5,y=input_price_4,text=\"High \" + str.tostring(input_price_4) + \" \" + f_format_date(selected_date4),style=label.style_label_left,color=color.new(input_color_4, 100),textcolor=input_color_4,size=size.tiny,yloc=yloc.price)\n",
    "        ln4 := line.new(x1=bar_index + 4, y1=input_price_4, x2=bar_index + 5, y2=input_price_4, color=input_color_4, width=1)\n",
    "    label.set_xy(lb4, bar_index + 5, input_price_4)\n",
    "    line.set_xy1(ln4, bar_index - 300, input_price_4)\n",
    "    line.set_xy2(ln4, bar_index + 5, input_price_4)\n",
    "\n",
    "// K5\n",
    "var label lb5 = na\n",
    "var line ln5 = na\n",
    "if input_price_5 != 0\n",
    "    if na(lb5)\n",
    "        lb5 := label.new(x=bar_index + 5,y=input_price_5,text=\"Mid \" + str.tostring(input_price_5) + \" \" + f_format_date(selected_date5),style=label.style_label_left,color=color.new(input_color_5, 100),textcolor=input_color_5, size=size.tiny,yloc=yloc.price)\n",
    "        ln5 := line.new(x1=bar_index + 4, y1=input_price_5, x2=bar_index + 5, y2=input_price_5, color=input_color_5, width=1)\n",
    "    label.set_xy(lb5, bar_index + 5, input_price_5)\n",
    "    line.set_xy1(ln5, bar_index - 300, input_price_5)\n",
    "    line.set_xy2(ln5, bar_index + 5, input_price_5)\n",
    "\n",
    "// K6\n",
    "var label lb6 = na\n",
    "var line ln6 = na\n",
    "if input_price_6 != 0\n",
    "    if na(lb6)\n",
    "        lb6 := label.new(x=bar_index + 5,y=input_price_6,text=\"Low \" + str.tostring(input_price_6) + \" \" + f_format_date(selected_date6),style=label.style_label_left,color=color.new(input_color_6, 100),textcolor=input_color_6,size=size.tiny,yloc=yloc.price)\n",
    "        ln6 := line.new(x1=bar_index + 4, y1=input_price_6, x2=bar_index + 5, y2=input_price_6, color=input_color_6, width=1)\n",
    "    label.set_xy(lb6, bar_index + 5, input_price_6)\n",
    "    line.set_xy1(ln6, bar_index - 300, input_price_6)\n",
    "    line.set_xy2(ln6, bar_index + 5, input_price_6)\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "830d31bc",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc8f8264",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}