Update USD Liquidity Example Notebook for V4 (#5902)

* Update USD Liquidity Example Notebook for V4

* delete some v3 text in the copperToGold

* Update README.md

* findSymbols preview image

* Google Colab preview image

* financialStatements preview

* content tsx file

* ### title

* convert tsx to json

* indent size

* double quote keys.json

* trailing commas

* Update content.json

* patch

---------

Co-authored-by: Igor Radovanovic <74266147+IgorWounds@users.noreply.github.com>
Co-authored-by: James Maslek <jmaslek11@gmail.com>

9 files changed, 10498 insertions, 451 deletions

diff --git a/examples/README.md b/examples/README.md
index 484cf64f42c..8a496fabdd5 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -56,3 +56,14 @@ This notebook shows you how you can use OpenbB Platform as functions in an LLM b
 - Convert all OpenBB Platform functions to LLM tools
 - Build a basic Langchain agent that can utilize function calling
 - Run the agent
+
+### usdLiquidityIndex
+
+This notebook demonstrates how to query the Federal Reserve Economic Database and recreate the USD Liquidity Index.
+
+- Search FRED for series IDs.
+- Load multiple series as a single call.
+- Unpacking the data response from the FRED query.
+- Perform arithmetic operations on a DataFrame.
+- Normalization methods for a series or DataFrame.
+- Simple processes for creating charts.
diff --git a/examples/content.json b/examples/content.json
new file mode 100644
index 00000000000..7c5d748bd1e
--- /dev/null
+++ b/examples/content.json
@@ -0,0 +1,44 @@
+[
+	{
+		"title": "Install in Google Colab",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/googleColab.ipynb",
+		"img":"https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/googleColab.webp",
+		"description":
+			"Install the OpenBB Platform in Google Colab and get started pulling data and creating visualizations."
+	},
+	{
+		"title": "Find Symbols",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/findSymbols.ipynb",
+		"img": "https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/findSymbols.webp",
+		"description":
+			"An introduction to discovering, finding, screening, and searching symbols using different sources."
+	},
+	{
+		"title": "Load Historical Price Data",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/loadHistoricalPriceData.ipynb",
+		"img": "https://my.openbb.co/assets/images/sdk/examples/loadHistoricalPriceData.webp",
+		"description":
+			"Loading data with different intervals and sources, ticker symbology, load data from other asset classes, load multiple tickers in one go, draw lines on plotly."
+	},
+	{
+		"title": "Copper To Gold Ratio",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/copperToGoldRatio.ipynb",
+		"img": "https://my.openbb.co/assets/images/sdk/examples/copperToGoldRatio.webp",
+		"description":
+			"Calculate copper to gold ratio, load front-month future prices, 10-year constant maturity vs treasury bill, basic dataframe operations, plotting on 2 y-axis."
+	},
+	{
+		"title": "USD Liquidity Index",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/usdLiquidityIndex.ipynb",
+		"img": "https://my.openbb.co/assets/images/sdk/examples/usdLiquidityIndex.webp",
+		"description":
+			"Query the Federal Reserve Economic Database and recreate the USD Liquidity Index, load multiple data series, basic operations on a dataframe, normalization methods, and creating custom chart."
+	},
+	{
+		"title": "Financial Statements",
+		"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/financialStatements.ipynb",
+		"img": "https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/financialStatements.webp",
+		"description":
+			"Get started with financial statements in the OpenBB Platform. This notebook compares the data from different providers and demonstrates how to access items within the three main financial statements - balance, cash, and income."
+	}
+]
diff --git a/examples/copperToGoldRatio.ipynb b/examples/copperToGoldRatio.ipynb
index e2ccf423114..cb5dd96fecc 100644
--- a/examples/copperToGoldRatio.ipynb
+++ b/examples/copperToGoldRatio.ipynb
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -118,7 +118,7 @@
        "2000-09-04  273.299988   0.912"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -137,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -174,16 +174,16 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2023-11-20</th>\n",
-       "      <td>2002.199951</td>\n",
-       "      <td>3.7965</td>\n",
-       "      <td>0.001896</td>\n",
+       "      <th>2023-12-04</th>\n",
+       "      <td>1998.300049</td>\n",
+       "      <td>3.820</td>\n",
+       "      <td>0.001912</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-27</th>\n",
-       "      <td>2011.800049</td>\n",
-       "      <td>3.7625</td>\n",
-       "      <td>0.001870</td>\n",
+       "      <th>2023-12-11</th>\n",
+       "      <td>2021.099976</td>\n",
+       "      <td>3.885</td>\n",
+       "      <td>0.001922</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -192,11 +192,11 @@
       "text/plain": [
        "                   Gold  Copper  Copper/Gold Ratio\n",
        "date                                              \n",
-       "2023-11-20  2002.199951  3.7965           0.001896\n",
-       "2023-11-27  2011.800049  3.7625           0.001870"
+       "2023-12-04  1998.300049   3.820           0.001912\n",
+       "2023-12-11  2021.099976   3.885           0.001922"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -217,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -254,16 +254,16 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2023-11-20</th>\n",
-       "      <td>2002.199951</td>\n",
-       "      <td>3.7965</td>\n",
-       "      <td>1.896164</td>\n",
+       "      <th>2023-12-04</th>\n",
+       "      <td>1998.300049</td>\n",
+       "      <td>3.820</td>\n",
+       "      <td>1.911625</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-27</th>\n",
-       "      <td>2011.800049</td>\n",
-       "      <td>3.7625</td>\n",
-       "      <td>1.870216</td>\n",
+       "      <th>2023-12-11</th>\n",
+       "      <td>2021.099976</td>\n",
+       "      <td>3.885</td>\n",
+       "      <td>1.922221</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -272,11 +272,11 @@
       "text/plain": [
        "                   Gold  Copper  Copper/Gold Ratio\n",
        "date                                              \n",
-       "2023-11-20  2002.199951  3.7965           1.896164\n",
-       "2023-11-27  2011.800049  3.7625           1.870216"
+       "2023-12-04  1998.300049   3.820           1.911625\n",
+       "2023-12-11  2021.099976   3.885           1.922221"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -365,7 +365,7 @@
        "2000-09-04                          5.68  "
       ]
      },
-     "execution_count": 67,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -394,7 +394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1621,7 +1621,9 @@
           "2023-11-06",
           "2023-11-13",
           "2023-11-20",
-          "2023-11-27"
+          "2023-11-27",
+          "2023-12-04",
+          "2023-12-11"
          ],
          "y": [
           3.2093862764241465,
@@ -2837,7 +2839,9 @@
           1.8542377903946718,
           1.8861021388593557,
           1.8961642494062623,
-          1.8702157055197284
+          1.8874939255873286,
+          1.9116248010317485,
+          1.9222205914563706
          ]
         },
         {
@@ -4057,7 +4061,9 @@
           "2023-11-06",
           "2023-11-13",
           "2023-11-20",
-          "2023-11-27"
+          "2023-11-27",
+          "2023-12-04",
+          "2023-12-11"
          ],
          "y": [
           5.78,
@@ -5273,6 +5279,8 @@
           4.67,
           4.63,
           4.42,
+          4.39,
+          null,
           null
          ]
         }
@@ -5289,14 +5297,14 @@
           "bar": [
            {
             "error_x": {
-             "color": "#f2f5fa"
+             "color": "#2a3f5f"
             },
             "error_y": {
-             "color": "#f2f5fa"
+             "color": "#2a3f5f"
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             "marker": {
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+              "color": "#E5ECF6",
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@@ -5312,7 +5320,7 @@
            {
             "marker": {
              "line": {
-              "color": "rgb(17,17,17)",
+              "color": "#E5ECF6",
               "width": 0.5
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              "pattern": {
@@ -5324,38 +5332,21 @@
             "type": "barpolar"
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           "carpet": [
            {
             "aaxis": {
-             "endlinecolor": "#A2B1C6",
-             "gridcolor": "#506784",
-             "linecolor": "#506784",
-             "minorgridcolor": "#506784",
-             "startlinecolor": "#A2B1C6"
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
             },
             "baxis": {
-             "endlinecolor": "#A2B1C6",
-             "gridcolor": "#506784",
-             "linecolor": "#506784",
-             "minorgridcolor": "#506784",
-             "startlinecolor": "#A2B1C6"
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
             },
             "type": "carpet"
            }
@@ -5673,10 +5664,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "line": {
-              "color": "#283442"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -5723,8 +5714,9 @@
           "scattergl": [
            {
             "marker": {
-             "line": {
-              "color": "#283442"
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
              }
             },
             "type": "scattergl"
@@ -5829,18 +5821,18 @@
            {
             "cells": {
              "fill": {
-              "color": "#506784"
+              "color": "#EBF0F8"
              },
              "line": {
-              "color": "rgb(17,17,17)"
+              "color": "white"
              }
             },
             "header": {
              "fill": {
-              "color": "#2a3f5f"
+              "color": "#C8D4E3"
              },
              "line": {
-              "color": "rgb(17,17,17)"
+              "color": "white"
              }
             },
             "type": "table"
@@ -5849,10 +5841,9 @@
          },
          "layout": {
           "annotationdefaults": {
-           "arrowcolor": "#f2f5fa",
+           "arrowcolor": "#2a3f5f",
            "arrowhead": 0,
-           "arrowwidth": 1,
-           "showarrow": false
+           "arrowwidth": 1
           },
           "autotypenumbers": "strict",
           "coloraxis": {
@@ -5994,194 +5985,125 @@
            ]
           },
           "colorway": [
-           "#ffed00",
-           "#ef7d00",
-           "#e4003a",
-           "#c13246",
-           "#822661",
-           "#48277c",
-           "#005ca9",
-           "#00aaff",
-           "#9b30d9",
-           "#af005f",
-           "#5f00af",
-           "#af87ff"
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
           ],
-          "dragmode": "pan",
           "font": {
-           "color": "#f2f5fa",
-           "family": "Fira Code",
-           "size": 18
+           "color": "#2a3f5f"
           },
           "geo": {
-           "bgcolor": "rgb(17,17,17)",
-           "lakecolor": "rgb(17,17,17)",
-           "landcolor": "rgb(17,17,17)",
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
            "showlakes": true,
            "showland": true,
-           "subunitcolor": "#506784"
+           "subunitcolor": "white"
           },
           "hoverlabel": {
            "align": "left"
           },
-          "hovermode": "x",
-          "legend": {
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-           "font": {
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-           "xanchor": "left",
-           "y": 0.99,
-           "yanchor": "top"
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-          "legend5": {
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-           }
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+          "hovermode": "closest",
           "mapbox": {
-           "style": "dark"
+           "style": "light"
           },
-          "paper_bgcolor": "#000000",
-          "plot_bgcolor": "#000000",
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
           "polar": {
            "angularaxis": {
-            "gridcolor": "#506784",
-            "linecolor": "#506784",
+            "gridcolor": "white",
+            "linecolor": "white",
             "ticks": ""
            },
-           "bgcolor": "rgb(17,17,17)",
+           "bgcolor": "#E5ECF6",
            "radialaxis": {
-            "gridcolor": "#506784",
-            "linecolor": "#506784",
+            "gridcolor": "white",
+            "linecolor": "white",
             "ticks": ""
            }
           },
           "scene": {
            "xaxis": {
-            "backgroundcolor": "rgb(17,17,17)",
-            "gridcolor": "#506784",
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
             "gridwidth": 2,
-            "linecolor": "#506784",
+            "linecolor": "white",
             "showbackground": true,
             "ticks": "",
-            "zerolinecolor": "#C8D4E3"
+            "zerolinecolor": "white"
            },
            "yaxis": {
-            "backgroundcolor": "rgb(17,17,17)",
-            "gridcolor": "#506784",
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
             "gridwidth": 2,
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+            "linecolor": "white",
             "showbackground": true,
             "ticks": "",
-            "zerolinecolor": "#C8D4E3"
+            "zerolinecolor": "white"
            },
            "zaxis": {
-            "backgroundcolor": "rgb(17,17,17)",
-            "gridcolor": "#506784",
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
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+            "linecolor": "white",
             "showbackground": true,
             "ticks": "",
-            "zerolinecolor": "#C8D4E3"
+            "zerolinecolor": "white"
            }
           },
           "shapedefaults": {
            "line": {
-            "color": "#f2f5fa"
+            "color": "#2a3f5f"
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-           "bordercolor": "rgb(17,17,17)",
-           "borderwidth": 1,
-           "tickwidth": 0
-          },
           "ternary": {
            "aaxis": {
-            "gridcolor": "#506784",
-            "linecolor": "#506784",
+            "gridcolor": "white",
+            "linecolor": "white",
             "ticks": ""
            },
            "baxis": {
-            "gridcolor": "#506784",
-            "linecolor": "#506784",
+            "gridcolor": "white",
+            "linecolor": "white",
             "ticks": ""
            },
-           "bgcolor": "rgb(17,17,17)",
+           "bgcolor": "#E5ECF6",
            "caxis": {
-            "gridcolor": "#506784",
-            "linecolor": "#506784",
+            "gridcolor": "white",
+            "linecolor": "white",
             "ticks": ""
            }
           },
           "title": {
            "x": 0.05
           },
-          "updatemenudefaults": {
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-           "borderwidth": 0
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           "xaxis": {
            "automargin": true,
-           "autorange": true,
-           "gridcolor": "#283442",
-           "linecolor": "#F5EFF3",
-           "mirror": true,
-           "rangeslider": {
-            "visible": false
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-           "showgrid": true,
-           "showline": true,
-           "tick0": 1,
-           "tickfont": {
-            "size": 14
-           },
-           "ticks": "outside",
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
            "title": {
-            "standoff": 20
+            "standoff": 15
            },
-           "zeroline": false,
-           "zerolinecolor": "#283442",
+           "zerolinecolor": "white",
            "zerolinewidth": 2
           },
           "yaxis": {
-           "anchor": "x",
            "automargin": true,
-           "fixedrange": false,
-           "gridcolor": "#283442",
-           "linecolor": "#F5EFF3",
-           "mirror": true,
-           "showgrid": true,
-           "showline": true,
-           "side": "right",
-           "tick0": 0.5,
-           "ticks": "outside",
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
            "title": {
-            "standoff": 20
+            "standoff": 15
            },
-           "zeroline": false,
-           "zerolinecolor": "#283442",
+           "zerolinecolor": "white",
            "zerolinewidth": 2
           }
          }
@@ -6245,7 +6167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -6286,20 +6208,20 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2023-11-20</th>\n",
-       "      <td>2002.199951</td>\n",
-       "      <td>3.7965</td>\n",
-       "      <td>1.896164</td>\n",
-       "      <td>4.42</td>\n",
-       "      <td>0.130023</td>\n",
+       "      <th>2023-12-04</th>\n",
+       "      <td>1998.300049</td>\n",
+       "      <td>3.820</td>\n",
+       "      <td>1.911625</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.131083</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-27</th>\n",
-       "      <td>2011.800049</td>\n",
-       "      <td>3.7625</td>\n",
-       "      <td>1.870216</td>\n",
+       "      <th>2023-12-11</th>\n",
+       "      <td>2021.099976</td>\n",
+       "      <td>3.885</td>\n",
+       "      <td>1.922221</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.128243</td>\n",
+       "      <td>0.131809</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -6308,21 +6230,21 @@
       "text/plain": [
        "                   Gold  Copper  Copper/Gold Ratio  \\\n",
        "date                                                 \n",
-       "2023-11-20  2002.199951  3.7965           1.896164   \n",
-       "2023-11-27  2011.800049  3.7625           1.870216   \n",
+       "2023-12-04  1998.300049   3.820           1.911625   \n",
+       "2023-12-11  2021.099976   3.885           1.922221   \n",
        "\n",
        "            US 10-Year Constant Maturity  \\\n",
        "date                                       \n",
-       "2023-11-20                          4.42   \n",
-       "2023-11-27                           NaN   \n",
+       "2023-12-04                           NaN   \n",
+       "2023-12-11                           NaN   \n",
        "\n",
        "            Copper/Gold Ratio per Ounce (x1000) %  \n",
        "date                                               \n",
-       "2023-11-20                               0.130023  \n",
-       "2023-11-27                               0.128243  "
+       "2023-12-04                               0.131083  \n",
+       "2023-12-11                               0.131809  "
       ]
      },
-     "execution_count": 78,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6336,27 +6258,15 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Each y-axis requires its own DataFrame, so let's make one for each next."
+    "Now let's draw it!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "y1 = pd.DataFrame(data[\"Copper/Gold Ratio per Ounce (x1000) %\"])\n",
-    "y2 = pd.DataFrame(data[\"US 10-Year Constant Maturity\"])\n",
-    "fig = show_plot(y1, y2, external_axes = True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -7583,7 +7493,9 @@
           "2023-11-06",
           "2023-11-13",
           "2023-11-20",
-          "2023-11-27"
+          "2023-11-27",
+          "2023-12-04",
+          "2023-12-11"
          ],
          "y": [
           3.2093862764241465,
@@ -8799,7 +8711,9 @@
           1.8542377903946718,
           1.8861021388593557,
           1.8961642494062623,
-          1.8702157055197284
+          1.8874939255873286,
+          1.9116248010317485,
+          1.9222205914563706
          ],
          "yaxis": "y"
         },
@@ -10020,7 +9934,9 @@
           "2023-11-06",
           "2023-11-13",
           "2023-11-20",
-          "2023-11-27"
+          "2023-11-27",
+          "2023-12-04",
+          "2023-12-11"
          ],
          "y": [
           5.78,
@@ -11236,6 +11152,8 @@
           4.67,
           4.63,
           4.42,
+          4.39,
+          null,
           null
          ],
          "yaxis": "y2"
@@ -11256,14 +11174,14 @@
           "bar": [
            {
             "error_x": {
-             "color": "#f2f5fa"
+             "color": "#2a3f5f"
             },
             "error_y": {
-             "color": "#f2f5fa"
+             "color": "#2a3f5f"
             },
             "marker": {
              "line": {
-              "color": "rgb(17,17,17)",
+              "color": "#E5ECF6",
               "width": 0.5
              },
              "pattern": {
@@ -11279,7 +11197,7 @@
            {
             "marker": {
              "line": {
-              "color": "rgb(17,17,17)",
+              "color": "#E5ECF6",
               "width": 0.5
              },
              "pattern": {
@@ -11291,38 +11209,21 @@
             "type": "barpolar"
            }
           ],
-          "candlestick": [
-           {
-            "decreasing": {
-             "fillcolor": "#e4003a",
-             "line": {
-