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Financial Analysis Examples ​

This guide provides comprehensive examples of financial data visualizations using the DataGlass plugin for Obsidian. Each example includes 50 data points to demonstrate realistic financial analysis scenarios.

Table of Contents ​

  1. Stock Price Trend
  2. Portfolio Growth Analysis
  3. Monthly Revenue Performance
  4. Risk-Return Analysis
  5. Multi-Stock Comparison
  6. Asset Allocation Over Time
  7. Sector Performance Heatmap
  8. Candlestick Trading Chart
  9. Moving Average Signals
  10. Volume and Price Analysis

Stock Price Trend ​

Daily stock price movements showing trend analysis over a trading period.

View Source
data:
  source: [
    {"date": "2024-01-02", "price": 142.50},
    {"date": "2024-01-03", "price": 145.20},
    {"date": "2024-01-04", "price": 143.80},
    {"date": "2024-01-05", "price": 147.35},
    {"date": "2024-01-08", "price": 149.60},
    {"date": "2024-01-09", "price": 151.25},
    {"date": "2024-01-10", "price": 148.90},
    {"date": "2024-01-11", "price": 152.40},
    {"date": "2024-01-12", "price": 154.75},
    {"date": "2024-01-15", "price": 153.20},
    {"date": "2024-01-16", "price": 156.85},
    {"date": "2024-01-17", "price": 158.30},
    {"date": "2024-01-18", "price": 155.90},
    {"date": "2024-01-19", "price": 159.45},
    {"date": "2024-01-22", "price": 162.10},
    {"date": "2024-01-23", "price": 160.55},
    {"date": "2024-01-24", "price": 163.80},
    {"date": "2024-01-25", "price": 165.25},
    {"date": "2024-01-26", "price": 162.90},
    {"date": "2024-01-29", "price": 166.40},
    {"date": "2024-01-30", "price": 168.75},
    {"date": "2024-01-31", "price": 167.20},
    {"date": "2024-02-01", "price": 170.55},
    {"date": "2024-02-02", "price": 172.90},
    {"date": "2024-02-05", "price": 171.35},
    {"date": "2024-02-06", "price": 174.80},
    {"date": "2024-02-07", "price": 176.25},
    {"date": "2024-02-08", "price": 173.90},
    {"date": "2024-02-09", "price": 177.45},
    {"date": "2024-02-12", "price": 179.80},
    {"date": "2024-02-13", "price": 178.25},
    {"date": "2024-02-14", "price": 181.60},
    {"date": "2024-02-15", "price": 183.95},
    {"date": "2024-02-16", "price": 182.40},
    {"date": "2024-02-19", "price": 185.75},
    {"date": "2024-02-20", "price": 188.10},
    {"date": "2024-02-21", "price": 186.55},
    {"date": "2024-02-22", "price": 189.90},
    {"date": "2024-02-23", "price": 192.25},
    {"date": "2024-02-26", "price": 190.70},
    {"date": "2024-02-27", "price": 194.05},
    {"date": "2024-02-28", "price": 196.40},
    {"date": "2024-02-29", "price": 194.85},
    {"date": "2024-03-01", "price": 198.20},
    {"date": "2024-03-04", "price": 200.55},
    {"date": "2024-03-05", "price": 199.00},
    {"date": "2024-03-06", "price": 202.35},
    {"date": "2024-03-07", "price": 204.70},
    {"date": "2024-03-08", "price": 203.15},
    {"date": "2024-03-11", "price": 206.50}
  ]
type: line
x: date
y: price
width: 900
height: 500
title: Daily Stock Price Movement
marks:
  - type: line
    configuration:
      x: date
      y: price
      stroke: steelblue
      strokeWidth: 2
      tip: true
scales:
  x:
    label: Trading Date
    type: utc
  y:
    label: Stock Price ($)
    tickFormat: $,.2f

Portfolio Growth Analysis ​

Cumulative portfolio value tracking showing investment growth over time.

View Source
data:
  source: [
    {"month": "2020-01", "value": 100000},
    {"month": "2020-02", "value": 102500},
    {"month": "2020-03", "value": 98750},
    {"month": "2020-04", "value": 104200},
    {"month": "2020-05", "value": 107800},
    {"month": "2020-06", "value": 111500},
    {"month": "2020-07", "value": 115300},
    {"month": "2020-08", "value": 119200},
    {"month": "2020-09", "value": 116800},
    {"month": "2020-10", "value": 121500},
    {"month": "2020-11", "value": 125800},
    {"month": "2020-12", "value": 130200},
    {"month": "2021-01", "value": 134900},
    {"month": "2021-02", "value": 139700},
    {"month": "2021-03", "value": 137200},
    {"month": "2021-04", "value": 142800},
    {"month": "2021-05", "value": 147500},
    {"month": "2021-06", "value": 152400},
    {"month": "2021-07", "value": 157800},
    {"month": "2021-08", "value": 163200},
    {"month": "2021-09", "value": 160500},
    {"month": "2021-10", "value": 166900},
    {"month": "2021-11", "value": 172800},
    {"month": "2021-12", "value": 178500},
    {"month": "2022-01", "value": 184700},
    {"month": "2022-02", "value": 181200},
    {"month": "2022-03", "value": 175800},
    {"month": "2022-04", "value": 171500},
    {"month": "2022-05", "value": 166900},
    {"month": "2022-06", "value": 162400},
    {"month": "2022-07", "value": 168200},
    {"month": "2022-08", "value": 173500},
    {"month": "2022-09", "value": 169800},
    {"month": "2022-10", "value": 165200},
    {"month": "2022-11", "value": 171600},
    {"month": "2022-12", "value": 177400},
    {"month": "2023-01", "value": 183900},
    {"month": "2023-02", "value": 189800},
    {"month": "2023-03", "value": 186500},
    {"month": "2023-04", "value": 192700},
    {"month": "2023-05", "value": 198900},
    {"month": "2023-06", "value": 205300},
    {"month": "2023-07", "value": 211800},
    {"month": "2023-08", "value": 208400},
    {"month": "2023-09", "value": 214900},
    {"month": "2023-10", "value": 221600},
    {"month": "2023-11", "value": 228400},
    {"month": "2023-12", "value": 235300},
    {"month": "2024-01", "value": 242500},
    {"month": "2024-02", "value": 249800}
  ]
type: area
x: month
y: value
width: 900
height: 500
title: Portfolio Value Growth
marks:
  - type: area
    configuration:
      x: month
      y: value
      fillOpacity: 0.23
      tip: true
  - type: line
    configuration:
      x: month
      y: value
      stroke: darkblue
      strokeWidth: 2
scales:
  x:
    label: Month
    type: utc
  y:
    label: Portfolio Value ($)
    tickFormat: $,.0f

Monthly Revenue Performance ​

Monthly revenue comparison showing business performance trends.

View Source
data:
  source: [
    {"month": "Jan 2020", "revenue": 12.5},
    {"month": "Feb 2020", "revenue": 13.2},
    {"month": "Mar 2020", "revenue": 14.8},
    {"month": "Apr 2020", "revenue": 11.9},
    {"month": "May 2020", "revenue": 15.3},
    {"month": "Jun 2020", "revenue": 16.7},
    {"month": "Jul 2020", "revenue": 17.2},
    {"month": "Aug 2020", "revenue": 18.5},
    {"month": "Sep 2020", "revenue": 16.9},
    {"month": "Oct 2020", "revenue": 19.4},
    {"month": "Nov 2020", "revenue": 20.8},
    {"month": "Dec 2020", "revenue": 22.3},
    {"month": "Jan 2021", "revenue": 21.5},
    {"month": "Feb 2021", "revenue": 23.7},
    {"month": "Mar 2021", "revenue": 25.2},
    {"month": "Apr 2021", "revenue": 24.6},
    {"month": "May 2021", "revenue": 26.9},
    {"month": "Jun 2021", "revenue": 28.4},
    {"month": "Jul 2021", "revenue": 29.8},
    {"month": "Aug 2021", "revenue": 31.2},
    {"month": "Sep 2021", "revenue": 30.5},
    {"month": "Oct 2021", "revenue": 32.7},
    {"month": "Nov 2021", "revenue": 34.1},
    {"month": "Dec 2021", "revenue": 36.5},
    {"month": "Jan 2022", "revenue": 35.8},
    {"month": "Feb 2022", "revenue": 33.9},
    {"month": "Mar 2022", "revenue": 32.4},
    {"month": "Apr 2022", "revenue": 31.2},
    {"month": "May 2022", "revenue": 29.8},
    {"month": "Jun 2022", "revenue": 30.5},
    {"month": "Jul 2022", "revenue": 32.1},
    {"month": "Aug 2022", "revenue": 33.6},
    {"month": "Sep 2022", "revenue": 34.9},
    {"month": "Oct 2022", "revenue": 36.4},
    {"month": "Nov 2022", "revenue": 38.2},
    {"month": "Dec 2022", "revenue": 40.5},
    {"month": "Jan 2023", "revenue": 42.1},
    {"month": "Feb 2023", "revenue": 43.8},
    {"month": "Mar 2023", "revenue": 45.6},
    {"month": "Apr 2023", "revenue": 44.2},
    {"month": "May 2023", "revenue": 46.9},
    {"month": "Jun 2023", "revenue": 48.7},
    {"month": "Jul 2023", "revenue": 50.3},
    {"month": "Aug 2023", "revenue": 52.1},
    {"month": "Sep 2023", "revenue": 51.4},
    {"month": "Oct 2023", "revenue": 53.8},
    {"month": "Nov 2023", "revenue": 55.6},
    {"month": "Dec 2023", "revenue": 58.2},
    {"month": "Jan 2024", "revenue": 60.5},
    {"month": "Feb 2024", "revenue": 62.8}
  ]
type: bar
x: month
y: revenue
width: 900
height: 500
title: Monthly Revenue Performance
marks:
  - type: barY
    configuration:
      x: month
      y: revenue
      fill: steelblue
      tip: true
scales:
  x:
    label: Month
    type: band
  y:
    label: Revenue ($M)
    tickFormat: $,.1f

Risk-Return Analysis ​

Scatter plot showing the relationship between investment risk and expected returns.

View Source
data:
  source: [
    {"asset": "Asset 1", "risk": 5.2, "return": 3.8},
    {"asset": "Asset 2", "risk": 8.5, "return": 6.2},
    {"asset": "Asset 3", "risk": 12.3, "return": 9.5},
    {"asset": "Asset 4", "risk": 15.7, "return": 12.1},
    {"asset": "Asset 5", "risk": 18.9, "return": 14.8},
    {"asset": "Asset 6", "risk": 6.8, "return": 4.5},
    {"asset": "Asset 7", "risk": 10.2, "return": 7.3},
    {"asset": "Asset 8", "risk": 13.6, "return": 10.2},
    {"asset": "Asset 9", "risk": 16.4, "return": 11.9},
    {"asset": "Asset 10", "risk": 20.1, "return": 15.6},
    {"asset": "Asset 11", "risk": 7.5, "return": 5.1},
    {"asset": "Asset 12", "risk": 9.8, "return": 6.8},
    {"asset": "Asset 13", "risk": 14.2, "return": 10.7},
    {"asset": "Asset 14", "risk": 17.8, "return": 13.4},
    {"asset": "Asset 15", "risk": 21.5, "return": 16.2},
    {"asset": "Asset 16", "risk": 4.9, "return": 3.2},
    {"asset": "Asset 17", "risk": 11.4, "return": 8.5},
    {"asset": "Asset 18", "risk": 15.1, "return": 11.3},
    {"asset": "Asset 19", "risk": 19.3, "return": 14.5},
    {"asset": "Asset 20", "risk": 22.7, "return": 17.1},
    {"asset": "Asset 21", "risk": 6.3, "return": 4.1},
    {"asset": "Asset 22", "risk": 9.1, "return": 6.5},
    {"asset": "Asset 23", "risk": 12.8, "return": 9.2},
    {"asset": "Asset 24", "risk": 16.9, "return": 12.6},
    {"asset": "Asset 25", "risk": 20.6, "return": 15.3},
    {"asset": "Asset 26", "risk": 5.7, "return": 3.9},
    {"asset": "Asset 27", "risk": 8.9, "return": 6.1},
    {"asset": "Asset 28", "risk": 13.4, "return": 9.8},
    {"asset": "Asset 29", "risk": 17.2, "return": 12.9},
    {"asset": "Asset 30", "risk": 21.8, "return": 16.5},
    {"asset": "Asset 31", "risk": 7.1, "return": 4.8},
    {"asset": "Asset 32", "risk": 10.6, "return": 7.6},
    {"asset": "Asset 33", "risk": 14.9, "return": 11.1},
    {"asset": "Asset 34", "risk": 18.5, "return": 13.8},
    {"asset": "Asset 35", "risk": 22.3, "return": 16.9},
    {"asset": "Asset 36", "risk": 5.5, "return": 3.5},
    {"asset": "Asset 37", "risk": 9.4, "return": 6.9},
    {"asset": "Asset 38", "risk": 13.1, "return": 9.6},
    {"asset": "Asset 39", "risk": 16.7, "return": 12.4},
    {"asset": "Asset 40", "risk": 20.9, "return": 15.7},
    {"asset": "Asset 41", "risk": 6.6, "return": 4.4},
    {"asset": "Asset 42", "risk": 10.9, "return": 7.9},
    {"asset": "Asset 43", "risk": 14.6, "return": 10.9},
    {"asset": "Asset 44", "risk": 18.1, "return": 13.6},
    {"asset": "Asset 45", "risk": 21.4, "return": 16.1},
    {"asset": "Asset 46", "risk": 7.9, "return": 5.4},
    {"asset": "Asset 47", "risk": 11.7, "return": 8.7},
    {"asset": "Asset 48", "risk": 15.4, "return": 11.6},
    {"asset": "Asset 49", "risk": 19.6, "return": 14.7},
    {"asset": "Asset 50", "risk": 23.2, "return": 17.6}
  ]
type: scatter
x: risk
y: return
width: 900
height: 500
title: Risk vs Return Analysis
marks:
  - type: dot
    configuration:
      x: risk
      y: return
      fill: steelblue
      r: 5
      tip: true
  - type: ruleY
    configuration:
      y: 0
      stroke: red
      strokeDasharray: "4 2"
scales:
  x:
    label: Risk (Standard Deviation %)
    tickFormat: .1f
  y:
    label: Annual Return (%)
    tickFormat: +.1f

Multi-Stock Comparison ​

Comparing performance of multiple stocks over time.

View Source
data:
  source: [
    {"date": "2024-01-02", "symbol": "TECH", "price": 100},
    {"date": "2024-01-09", "symbol": "TECH", "price": 103},
    {"date": "2024-01-16", "symbol": "TECH", "price": 107},
    {"date": "2024-01-23", "symbol": "TECH", "price": 105},
    {"date": "2024-01-30", "symbol": "TECH", "price": 110},
    {"date": "2024-02-06", "symbol": "TECH", "price": 114},
    {"date": "2024-02-13", "symbol": "TECH", "price": 118},
    {"date": "2024-02-20", "symbol": "TECH", "price": 121},
    {"date": "2024-02-27", "symbol": "TECH", "price": 125},
    {"date": "2024-03-05", "symbol": "TECH", "price": 130},
    {"date": "2024-01-02", "symbol": "FINANCE", "price": 100},
    {"date": "2024-01-09", "symbol": "FINANCE", "price": 101},
    {"date": "2024-01-16", "symbol": "FINANCE", "price": 103},
    {"date": "2024-01-23", "symbol": "FINANCE", "price": 102},
    {"date": "2024-01-30", "symbol": "FINANCE", "price": 105},
    {"date": "2024-02-06", "symbol": "FINANCE", "price": 107},
    {"date": "2024-02-13", "symbol": "FINANCE", "price": 109},
    {"date": "2024-02-20", "symbol": "FINANCE", "price": 111},
    {"date": "2024-02-27", "symbol": "FINANCE", "price": 113},
    {"date": "2024-03-05", "symbol": "FINANCE", "price": 116},
    {"date": "2024-01-02", "symbol": "HEALTH", "price": 100},
    {"date": "2024-01-09", "symbol": "HEALTH", "price": 102},
    {"date": "2024-01-16", "symbol": "HEALTH", "price": 105},
    {"date": "2024-01-23", "symbol": "HEALTH", "price": 108},
    {"date": "2024-01-30", "symbol": "HEALTH", "price": 106},
    {"date": "2024-02-06", "symbol": "HEALTH", "price": 109},
    {"date": "2024-02-13", "symbol": "HEALTH", "price": 112},
    {"date": "2024-02-20", "symbol": "HEALTH", "price": 115},
    {"date": "2024-02-27", "symbol": "HEALTH", "price": 118},
    {"date": "2024-03-05", "symbol": "HEALTH", "price": 122},
    {"date": "2024-01-02", "symbol": "ENERGY", "price": 100},
    {"date": "2024-01-09", "symbol": "ENERGY", "price": 98},
    {"date": "2024-01-16", "symbol": "ENERGY", "price": 96},
    {"date": "2024-01-23", "symbol": "ENERGY", "price": 99},
    {"date": "2024-01-30", "symbol": "ENERGY", "price": 102},
    {"date": "2024-02-06", "symbol": "ENERGY", "price": 105},
    {"date": "2024-02-13", "symbol": "ENERGY", "price": 108},
    {"date": "2024-02-20", "symbol": "ENERGY", "price": 106},
    {"date": "2024-02-27", "symbol": "ENERGY", "price": 110},
    {"date": "2024-03-05", "symbol": "ENERGY", "price": 113},
    {"date": "2024-01-02", "symbol": "CONSUMER", "price": 100},
    {"date": "2024-01-09", "symbol": "CONSUMER", "price": 101},
    {"date": "2024-01-16", "symbol": "CONSUMER", "price": 104},
    {"date": "2024-01-23", "symbol": "CONSUMER", "price": 103},
    {"date": "2024-01-30", "symbol": "CONSUMER", "price": 106},
    {"date": "2024-02-06", "symbol": "CONSUMER", "price": 108},
    {"date": "2024-02-13", "symbol": "CONSUMER", "price": 111},
    {"date": "2024-02-20", "symbol": "CONSUMER", "price": 114},
    {"date": "2024-02-27", "symbol": "CONSUMER", "price": 117},
    {"date": "2024-03-05", "symbol": "CONSUMER", "price": 120}
  ]
type: line
x: date
y: price
color: symbol
width: 900
height: 500
title: Multi-Stock Performance Comparison
marks:
  - type: line
    configuration:
      x: date
      y: price
      stroke: symbol
      strokeWidth: 2
      tip: true
scales:
  x:
    label: Date
  y:
    label: Normalized Price (%)
    tickFormat: .0f
  color:
    legend: true

Asset Allocation Over Time ​

Stacked area chart showing how asset allocation changes over time.

View Source
data:
  source: [
    {"quarter": "Q1 2020", "asset_class": "Stocks", "value": 60000},
    {"quarter": "Q1 2020", "asset_class": "Bonds", "value": 30000},
    {"quarter": "Q1 2020", "asset_class": "Cash", "value": 10000},
    {"quarter": "Q2 2020", "asset_class": "Stocks", "value": 62000},
    {"quarter": "Q2 2020", "asset_class": "Bonds", "value": 31000},
    {"quarter": "Q2 2020", "asset_class": "Cash", "value": 9500},
    {"quarter": "Q3 2020", "asset_class": "Stocks", "value": 65000},
    {"quarter": "Q3 2020", "asset_class": "Bonds", "value": 32000},
    {"quarter": "Q3 2020", "asset_class": "Cash", "value": 9000},
    {"quarter": "Q4 2020", "asset_class": "Stocks", "value": 68000},
    {"quarter": "Q4 2020", "asset_class": "Bonds", "value": 33000},
    {"quarter": "Q4 2020", "asset_class": "Cash", "value": 8500},
    {"quarter": "Q1 2021", "asset_class": "Stocks", "value": 72000},
    {"quarter": "Q1 2021", "asset_class": "Bonds", "value": 34000},
    {"quarter": "Q1 2021", "asset_class": "Cash", "value": 8000},
    {"quarter": "Q2 2021", "asset_class": "Stocks", "value": 76000},
    {"quarter": "Q2 2021", "asset_class": "Bonds", "value": 35000},
    {"quarter": "Q2 2021", "asset_class": "Cash", "value": 7500},
    {"quarter": "Q3 2021", "asset_class": "Stocks", "value": 80000},
    {"quarter": "Q3 2021", "asset_class": "Bonds", "value": 36000},
    {"quarter": "Q3 2021", "asset_class": "Cash", "value": 7000},
    {"quarter": "Q4 2021", "asset_class": "Stocks", "value": 85000},
    {"quarter": "Q4 2021", "asset_class": "Bonds", "value": 37000},
    {"quarter": "Q4 2021", "asset_class": "Cash", "value": 6500},
    {"quarter": "Q1 2022", "asset_class": "Stocks", "value": 82000},
    {"quarter": "Q1 2022", "asset_class": "Bonds", "value": 38000},
    {"quarter": "Q1 2022", "asset_class": "Cash", "value": 8000},
    {"quarter": "Q2 2022", "asset_class": "Stocks", "value": 78000},
    {"quarter": "Q2 2022", "asset_class": "Bonds", "value": 39000},
    {"quarter": "Q2 2022", "asset_class": "Cash", "value": 9500},
    {"quarter": "Q3 2022", "asset_class": "Stocks", "value": 75000},
    {"quarter": "Q3 2022", "asset_class": "Bonds", "value": 40000},
    {"quarter": "Q3 2022", "asset_class": "Cash", "value": 10000},
    {"quarter": "Q4 2022", "asset_class": "Stocks", "value": 79000},
    {"quarter": "Q4 2022", "asset_class": "Bonds", "value": 41000},
    {"quarter": "Q4 2022", "asset_class": "Cash", "value": 9000},
    {"quarter": "Q1 2023", "asset_class": "Stocks", "value": 84000},
    {"quarter": "Q1 2023", "asset_class": "Bonds", "value": 42000},
    {"quarter": "Q1 2023", "asset_class": "Cash", "value": 8000},
    {"quarter": "Q2 2023", "asset_class": "Stocks", "value": 88000},
    {"quarter": "Q2 2023", "asset_class": "Bonds", "value": 43000},
    {"quarter": "Q2 2023", "asset_class": "Cash", "value": 7500},
    {"quarter": "Q3 2023", "asset_class": "Stocks", "value": 92000},
    {"quarter": "Q3 2023", "asset_class": "Bonds", "value": 44000},
    {"quarter": "Q3 2023", "asset_class": "Cash", "value": 7000},
    {"quarter": "Q4 2023", "asset_class": "Stocks", "value": 96000},
    {"quarter": "Q4 2023", "asset_class": "Bonds", "value": 45000},
    {"quarter": "Q4 2023", "asset_class": "Cash", "value": 6500},
    {"quarter": "Q1 2024", "asset_class": "Stocks", "value": 100000},
    {"quarter": "Q1 2024", "asset_class": "Bonds", "value": 46000},
    {"quarter": "Q1 2024", "asset_class": "Cash", "value": 6000}
  ]
engine: plot
width: 900
height: 500
title: Asset Allocation Evolution
marks:
  - type: areaY
    configuration:
      x: quarter
      y: value
      fill: asset_class
      stack: true
      tip: true
scales:
  x:
    label: Quarter
  y:
    label: Allocation ($)
    tickFormat: $,.0f
  color:
    legend: true

Sector Performance Heatmap ​

Monthly sector performance showing returns across different market sectors.

View Source
data:
  source: [
    {"month": "Jan", "sector": "Technology", "return": 5.2},
    {"month": "Feb", "sector": "Technology", "return": 3.8},
    {"month": "Mar", "sector": "Technology", "return": 7.1},
    {"month": "Apr", "sector": "Technology", "return": -2.3},
    {"month": "May", "sector": "Technology", "return": 4.6},
    {"month": "Jan", "sector": "Healthcare", "return": 2.8},
    {"month": "Feb", "sector": "Healthcare", "return": 4.2},
    {"month": "Mar", "sector": "Healthcare", "return": 3.5},
    {"month": "Apr", "sector": "Healthcare", "return": 5.1},
    {"month": "May", "sector": "Healthcare", "return": 6.3},
    {"month": "Jan", "sector": "Finance", "return": 3.4},
    {"month": "Feb", "sector": "Finance", "return": 1.9},
    {"month": "Mar", "sector": "Finance", "return": -1.2},
    {"month": "Apr", "sector": "Finance", "return": 2.7},
    {"month": "May", "sector": "Finance", "return": 4.8},
    {"month": "Jan", "sector": "Energy", "return": -3.5},
    {"month": "Feb", "sector": "Energy", "return": 6.8},
    {"month": "Mar", "sector": "Energy", "return": 8.2},
    {"month": "Apr", "sector": "Energy", "return": 4.5},
    {"month": "May", "sector": "Energy", "return": -2.1},
    {"month": "Jan", "sector": "Consumer", "return": 2.1},
    {"month": "Feb", "sector": "Consumer", "return": 3.6},
    {"month": "Mar", "sector": "Consumer", "return": 4.9},
    {"month": "Apr", "sector": "Consumer", "return": 3.2},
    {"month": "May", "sector": "Consumer", "return": 5.7},
    {"month": "Jan", "sector": "Industrial", "return": 1.8},
    {"month": "Feb", "sector": "Industrial", "return": 2.4},
    {"month": "Mar", "sector": "Industrial", "return": 3.7},
    {"month": "Apr", "sector": "Industrial", "return": -1.5},
    {"month": "May", "sector": "Industrial", "return": 4.2},
    {"month": "Jan", "sector": "Materials", "return": -0.8},
    {"month": "Feb", "sector": "Materials", "return": 2.9},
    {"month": "Mar", "sector": "Materials", "return": 5.3},
    {"month": "Apr", "sector": "Materials", "return": 3.6},
    {"month": "May", "sector": "Materials", "return": 1.4},
    {"month": "Jan", "sector": "Utilities", "return": 1.2},
    {"month": "Feb", "sector": "Utilities", "return": 0.8},
    {"month": "Mar", "sector": "Utilities", "return": 1.9},
    {"month": "Apr", "sector": "Utilities", "return": 2.3},
    {"month": "May", "sector": "Utilities", "return": 1.7},
    {"month": "Jan", "sector": "Real Estate", "return": -1.3},
    {"month": "Feb", "sector": "Real Estate", "return": 0.6},
    {"month": "Mar", "sector": "Real Estate", "return": 2.8},
    {"month": "Apr", "sector": "Real Estate", "return": 3.4},
    {"month": "May", "sector": "Real Estate", "return": 4.1},
    {"month": "Jan", "sector": "Telecom", "return": 0.9},
    {"month": "Feb", "sector": "Telecom", "return": 1.5},
    {"month": "Mar", "sector": "Telecom", "return": 2.2},
    {"month": "Apr", "sector": "Telecom", "return": -0.7},
    {"month": "May", "sector": "Telecom", "return": 3.1}
  ]
type: heatmap
x: month
y: sector
color: return
width: 900
height: 500
title: Sector Performance Heatmap
marks:
  - type: cell
    configuration:
      x: month
      y: sector
      fill: return
      tip: true
scales:
  x:
    label: Month
  y:
    label: Market Sector
  color:
    scheme: rdylgn
    type: linear
    pivot: 0
    legend: true
    label: Return (%)

Candlestick Trading Chart ​

OHLC (Open-High-Low-Close) candlestick chart showing daily trading activity.

View Source
data:
  source: [
    {"date": "2024-01-02", "open": 145.20, "high": 148.50, "low": 144.80, "close": 147.35},
    {"date": "2024-01-03", "open": 147.50, "high": 150.20, "low": 146.90, "close": 149.60},
    {"date": "2024-01-04", "open": 149.80, "high": 151.40, "low": 148.30, "close": 148.90},
    {"date": "2024-01-05", "open": 149.10, "high": 153.20, "low": 148.60, "close": 152.40},
    {"date": "2024-01-08", "open": 152.60, "high": 155.30, "low": 151.90, "close": 154.75},
    {"date": "2024-01-09", "open": 154.90, "high": 156.80, "low": 152.50, "close": 153.20},
    {"date": "2024-01-10", "open": 153.40, "high": 157.60, "low": 152.80, "close": 156.85},
    {"date": "2024-01-11", "open": 157.10, "high": 159.20, "low": 156.40, "close": 158.30},
    {"date": "2024-01-12", "open": 158.50, "high": 160.40, "low": 155.20, "close": 155.90},
    {"date": "2024-01-15", "open": 156.20, "high": 160.30, "low": 155.80, "close": 159.45},
    {"date": "2024-01-16", "open": 159.70, "high": 162.80, "low": 158.90, "close": 162.10},
    {"date": "2024-01-17", "open": 162.30, "high": 163.50, "low": 159.80, "close": 160.55},
    {"date": "2024-01-18", "open": 160.80, "high": 164.70, "low": 160.20, "close": 163.80},
    {"date": "2024-01-19", "open": 164.10, "high": 166.20, "low": 163.50, "close": 165.25},
    {"date": "2024-01-22", "open": 165.50, "high": 167.30, "low": 162.10, "close": 162.90},
    {"date": "2024-01-23", "open": 163.20, "high": 167.50, "low": 162.70, "close": 166.40},
    {"date": "2024-01-24", "open": 166.70, "high": 169.80, "low": 166.10, "close": 168.75},
    {"date": "2024-01-25", "open": 169.00, "high": 170.40, "low": 166.50, "close": 167.20},
    {"date": "2024-01-26", "open": 167.50, "high": 171.60, "low": 167.10, "close": 170.55},
    {"date": "2024-01-29", "open": 170.80, "high": 173.90, "low": 170.20, "close": 172.90},
    {"date": "2024-01-30", "open": 173.20, "high": 174.80, "low": 170.70, "close": 171.35},
    {"date": "2024-01-31", "open": 171.60, "high": 175.90, "low": 171.20, "close": 174.80},
    {"date": "2024-02-01", "open": 175.10, "high": 177.40, "low": 174.60, "close": 176.25},
    {"date": "2024-02-02", "open": 176.50, "high": 178.90, "low": 173.10, "close": 173.90},
    {"date": "2024-02-05", "open": 174.20, "high": 178.50, "low": 173.80, "close": 177.45},
    {"date": "2024-02-06", "open": 177.70, "high": 180.80, "low": 177.10, "close": 179.80},
    {"date": "2024-02-07", "open": 180.10, "high": 181.90, "low": 177.60, "close": 178.25},
    {"date": "2024-02-08", "open": 178.50, "high": 182.70, "low": 178.10, "close": 181.60},
    {"date": "2024-02-09", "open": 181.90, "high": 184.90, "low": 181.30, "close": 183.95},
    {"date": "2024-02-12", "open": 184.20, "high": 185.80, "low": 181.70, "close": 182.40},
    {"date": "2024-02-13", "open": 182.70, "high": 186.80, "low": 182.30, "close": 185.75},
    {"date": "2024-02-14", "open": 186.00, "high": 189.20, "low": 185.50, "close": 188.10},
    {"date": "2024-02-15", "open": 188.40, "high": 190.50, "low": 185.90, "close": 186.55},
    {"date": "2024-02-16", "open": 186.80, "high": 191.00, "low": 186.40, "close": 189.90},
    {"date": "2024-02-19", "open": 190.20, "high": 193.30, "low": 189.70, "close": 192.25},
    {"date": "2024-02-20", "open": 192.50, "high": 194.80, "low": 190.10, "close": 190.70},
    {"date": "2024-02-21", "open": 191.00, "high": 195.20, "low": 190.60, "close": 194.05},
    {"date": "2024-02-22", "open": 194.30, "high": 197.50, "low": 193.90, "close": 196.40},
    {"date": "2024-02-23", "open": 196.70, "high": 198.90, "low": 194.20, "close": 194.85},
    {"date": "2024-02-26", "open": 195.10, "high": 199.30, "low": 194.70, "close": 198.20},
    {"date": "2024-02-27", "open": 198.50, "high": 201.60, "low": 197.90, "close": 200.55},
    {"date": "2024-02-28", "open": 200.80, "high": 202.90, "low": 198.40, "close": 199.00},
    {"date": "2024-02-29", "open": 199.30, "high": 203.50, "low": 198.90, "close": 202.35},
    {"date": "2024-03-01", "open": 202.60, "high": 205.80, "low": 202.20, "close": 204.70},
    {"date": "2024-03-04", "open": 205.00, "high": 207.20, "low": 202.60, "close": 203.15},
    {"date": "2024-03-05", "open": 203.40, "high": 207.60, "low": 203.00, "close": 206.50},
    {"date": "2024-03-06", "open": 206.80, "high": 209.90, "low": 206.30, "close": 208.75},
    {"date": "2024-03-07", "open": 209.00, "high": 211.40, "low": 207.80, "close": 210.20},
    {"date": "2024-03-08", "open": 210.50, "high": 213.60, "low": 209.90, "close": 212.85},
    {"date": "2024-03-11", "open": 213.10, "high": 215.80, "low": 212.60, "close": 214.50}
  ]
type: line
x: date
y: close
engine: plot
width: 900
height: 500
title: Candlestick Trading Chart
marks:
  - type: ruleX
    configuration:
      x: date
      y1: low
      y2: high
      stroke: "#333333"
      strokeWidth: 1
      tip: true
  - type: ruleX
    configuration:
      x: date
      y1: open
      y2: close
      stroke: "green"
      strokeWidth: 4
      tip: true
scales:
  x:
    label: Trading Date
  y:
    label: Stock Price ($)
    tickFormat: $,.2f

Moving Average Signals ​

Stock price with 10-day and 30-day moving averages showing trading signals.

View Source
data:
  source: [
    {"date": "2024-01-02", "price": 142.50, "ma10": 142.50, "ma30": 142.50},
    {"date": "2024-01-03", "price": 145.20, "ma10": 143.85, "ma30": 143.85},
    {"date": "2024-01-04", "price": 143.80, "ma10": 143.83, "ma30": 143.83},
    {"date": "2024-01-05", "price": 147.35, "ma10": 144.71, "ma30": 144.71},
    {"date": "2024-01-08", "price": 149.60, "ma10": 145.69, "ma30": 145.69},
    {"date": "2024-01-09", "price": 151.25, "ma10": 146.62, "ma30": 146.62},
    {"date": "2024-01-10", "price": 148.90, "ma10": 146.94, "ma30": 146.94},
    {"date": "2024-01-11", "price": 152.40, "ma10": 147.63, "ma30": 147.63},
    {"date": "2024-01-12", "price": 154.75, "ma10": 148.42, "ma30": 148.42},
    {"date": "2024-01-15", "price": 153.20, "ma10": 148.90, "ma30": 148.90},
    {"date": "2024-01-16", "price": 156.85, "ma10": 150.43, "ma30": 149.58},
    {"date": "2024-01-17", "price": 158.30, "ma10": 151.76, "ma30": 150.43},
    {"date": "2024-01-18", "price": 155.90, "ma10": 152.54, "ma30": 151.00},
    {"date": "2024-01-19", "price": 159.45, "ma10": 153.68, "ma30": 151.82},
    {"date": "2024-01-22", "price": 162.10, "ma10": 154.98, "ma30": 152.75},
    {"date": "2024-01-23", "price": 160.55, "ma10": 155.85, "ma30": 153.51},
    {"date": "2024-01-24", "price": 163.80, "ma10": 157.05, "ma30": 154.41},
    {"date": "2024-01-25", "price": 165.25, "ma10": 158.32, "ma30": 155.38},
    {"date": "2024-01-26", "price": 162.90, "ma10": 159.08, "ma30": 156.15},
    {"date": "2024-01-29", "price": 166.40, "ma10": 160.27, "ma30": 157.08},
    {"date": "2024-01-30", "price": 168.75, "ma10": 161.56, "ma30": 158.10},
    {"date": "2024-01-31", "price": 167.20, "ma10": 162.47, "ma30": 158.98},
    {"date": "2024-02-01", "price": 170.55, "ma10": 163.65, "ma30": 159.98},
    {"date": "2024-02-02", "price": 172.90, "ma10": 164.93, "ma30": 161.05},
    {"date": "2024-02-05", "price": 171.35, "ma10": 165.87, "ma30": 161.99},
    {"date": "2024-02-06", "price": 174.80, "ma10": 167.18, "ma30": 163.08},
    {"date": "2024-02-07", "price": 176.25, "ma10": 168.44, "ma30": 164.21},
    {"date": "2024-02-08", "price": 173.90, "ma10": 169.29, "ma30": 165.20},
    {"date": "2024-02-09", "price": 177.45, "ma10": 170.52, "ma30": 166.33},
    {"date": "2024-02-12", "price": 179.80, "ma10": 171.82, "ma30": 167.52},
    {"date": "2024-02-13", "price": 178.25, "ma10": 172.77, "ma30": 168.57},
    {"date": "2024-02-14", "price": 181.60, "ma10": 174.06, "ma30": 169.77},
    {"date": "2024-02-15", "price": 183.95, "ma10": 175.39, "ma30": 171.03},
    {"date": "2024-02-16", "price": 182.40, "ma10": 176.35, "ma30": 172.15},
    {"date": "2024-02-19", "price": 185.75, "ma10": 177.68, "ma30": 173.42},
    {"date": "2024-02-20", "price": 188.10, "ma10": 179.04, "ma30": 174.73},
    {"date": "2024-02-21", "price": 186.55, "ma10": 180.03, "ma30": 175.89},
    {"date": "2024-02-22", "price": 189.90, "ma10": 181.40, "ma30": 177.21},
    {"date": "2024-02-23", "price": 192.25, "ma10": 182.80, "ma30": 178.56},
    {"date": "2024-02-26", "price": 190.70, "ma10": 183.83, "ma30": 179.75},
    {"date": "2024-02-27", "price": 194.05, "ma10": 185.23, "ma30": 181.11},
    {"date": "2024-02-28", "price": 196.40, "ma10": 186.65, "ma30": 182.50},
    {"date": "2024-02-29", "price": 194.85, "ma10": 187.69, "ma30": 183.72},
    {"date": "2024-03-01", "price": 198.20, "ma10": 189.11, "ma30": 185.11},
    {"date": "2024-03-04", "price": 200.55, "ma10": 190.55, "ma30": 186.53},
    {"date": "2024-03-05", "price": 199.00, "ma10": 191.61, "ma30": 187.78},
    {"date": "2024-03-06", "price": 202.35, "ma10": 193.06, "ma30": 189.19},
    {"date": "2024-03-07", "price": 204.70, "ma10": 194.52, "ma30": 190.63},
    {"date": "2024-03-08", "price": 203.15, "ma10": 195.60, "ma30": 191.90},
    {"date": "2024-03-11", "price": 206.50, "ma10": 197.06, "ma30": 193.33}
  ]
engine: plot
width: 900
height: 500
title: Stock Price with Moving Averages
marks:
  - type: line
    configuration:
      x: date
      y: price
      stroke: steelblue
      strokeWidth: 2
      tip: true
  - type: line
    configuration:
      x: date
      y: ma10
      stroke: orange
      strokeWidth: 1.5
      strokeDasharray: "4 2"
  - type: line
    configuration:
      x: date
      y: ma30
      stroke: red
      strokeWidth: 1.5
      strokeDasharray: "8 4"
scales:
  x:
    label: Date
  y:
    label: Price ($)
    tickFormat: $,.2f

Volume and Price Analysis ​

Trading volume bars with price overlay showing volume-price relationship.

View Source
data:
  source: [
    {"date": "2024-01-02", "volume": 45.2, "price": 142.50},
    {"date": "2024-01-03", "volume": 52.8, "price": 145.20},
    {"date": "2024-01-04", "volume": 48.6, "price": 143.80},
    {"date": "2024-01-05", "volume": 61.3, "price": 147.35},
    {"date": "2024-01-08", "volume": 55.9, "price": 149.60},
    {"date": "2024-01-09", "volume": 58.4, "price": 151.25},
    {"date": "2024-01-10", "volume": 51.2, "price": 148.90},
    {"date": "2024-01-11", "volume": 64.7, "price": 152.40},
    {"date": "2024-01-12", "volume": 59.3, "price": 154.75},
    {"date": "2024-01-15", "volume": 53.8, "price": 153.20},
    {"date": "2024-01-16", "volume": 67.5, "price": 156.85},
    {"date": "2024-01-17", "volume": 62.1, "price": 158.30},
    {"date": "2024-01-18", "volume": 56.4, "price": 155.90},
    {"date": "2024-01-19", "volume": 71.2, "price": 159.45},
    {"date": "2024-01-22", "volume": 65.8, "price": 162.10},
    {"date": "2024-01-23", "volume": 59.6, "price": 160.55},
    {"date": "2024-01-24", "volume": 74.3, "price": 163.80},
    {"date": "2024-01-25", "volume": 68.9, "price": 165.25},
    {"date": "2024-01-26", "volume": 62.7, "price": 162.90},
    {"date": "2024-01-29", "volume": 77.4, "price": 166.40},
    {"date": "2024-01-30", "volume": 72.1, "price": 168.75},
    {"date": "2024-01-31", "volume": 65.5, "price": 167.20},
    {"date": "2024-02-01", "volume": 80.6, "price": 170.55},
    {"date": "2024-02-02", "volume": 75.2, "price": 172.90},
    {"date": "2024-02-05", "volume": 68.9, "price": 171.35},
    {"date": "2024-02-06", "volume": 83.7, "price": 174.80},
    {"date": "2024-02-07", "volume": 78.4, "price": 176.25},
    {"date": "2024-02-08", "volume": 72.1, "price": 173.90},
    {"date": "2024-02-09", "volume": 86.8, "price": 177.45},
    {"date": "2024-02-12", "volume": 81.5, "price": 179.80},
    {"date": "2024-02-13", "volume": 75.3, "price": 178.25},
    {"date": "2024-02-14", "volume": 89.9, "price": 181.60},
    {"date": "2024-02-15", "volume": 84.6, "price": 183.95},
    {"date": "2024-02-16", "volume": 78.4, "price": 182.40},
    {"date": "2024-02-19", "volume": 93.1, "price": 185.75},
    {"date": "2024-02-20", "volume": 87.7, "price": 188.10},
    {"date": "2024-02-21", "volume": 81.5, "price": 186.55},
    {"date": "2024-02-22", "volume": 96.2, "price": 189.90},
    {"date": "2024-02-23", "volume": 90.8, "price": 192.25},
    {"date": "2024-02-26", "volume": 84.6, "price": 190.70},
    {"date": "2024-02-27", "volume": 99.3, "price": 194.05},
    {"date": "2024-02-28", "volume": 94.0, "price": 196.40},
    {"date": "2024-02-29", "volume": 87.7, "price": 194.85},
    {"date": "2024-03-01", "volume": 102.4, "price": 198.20},
    {"date": "2024-03-04", "volume": 97.1, "price": 200.55},
    {"date": "2024-03-05", "volume": 90.8, "price": 199.00},
    {"date": "2024-03-06", "volume": 105.6, "price": 202.35},
    {"date": "2024-03-07", "volume": 100.2, "price": 204.70},
    {"date": "2024-03-08", "volume": 93.9, "price": 203.15},
    {"date": "2024-03-11", "volume": 108.7, "price": 206.50}
  ]
engine: plot
width: 1200
height: 500
title: Trading Volume and Price Analysis
marks:
  - type: barY
    configuration:
      x: date
      y: volume
      fill: steelblue
      fillOpacity: 0.3
  - type: line
    configuration:
      x: date
      y: price
      stroke: darkred
      strokeWidth: 2
      tip: true
scales:
  x:
    label: Trading Date
    type: band
  y:
    label: Volume (M shares) / Price ($)

Summary ​

This comprehensive collection demonstrates various financial visualization techniques using the DataGlass plugin:

  • Line charts for tracking price movements and trends
  • Area charts for cumulative growth visualization
  • Bar charts for periodic performance comparison
  • Scatter plots for correlation and relationship analysis
  • Multi-line charts for comparative analysis across assets
  • Stacked areas for composition changes over time
  • Heatmaps for multi-dimensional performance matrices
  • Candlestick charts for detailed OHLC trading data
  • Moving averages for technical analysis signals
  • Volume analysis for trading activity patterns

Each example uses 50 data points to provide realistic and meaningful visualizations suitable for financial analysis and decision-making.

Released under the MIT License. Built by Boundary Lab.

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