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    Trading Chart Examples: Complete Settings Guide for FXJournalStats

    Trading Chart Examples: Complete Settings Guide for FXJournalStats main image

    Trading Chart Examples: Complete Settings Guide for FXJournalStats

    Transform your trading data into actionable insights with these proven chart configurations. Each example includes exact settings you can use in FXJournalStats to create powerful trading visualizations.

    1. Account Growth Chart πŸ“ˆ

    Purpose: Track your account balance over time with cumulative profit/loss

    Settings:

    SettingValue
    chartTypeArea chart
    nameAccount Growth
    label$
    x-axisDate
    y-axisprofit
    groupByday
    commulativetrue
    startingBalance10000
    countfalse

    account growth chart

    What it shows: A smooth area chart displaying your account balance progression from your starting balance, accumulating each trade's profit/loss over time.

    Best for: Long-term performance tracking, identifying growth trends, and visualizing compound effects of your trading.


    2. Day of the Week Performance Chart πŸ“Š

    Purpose: Analyze which days of the week are most profitable for your trading

    Settings:

    SettingValue
    chartTypebar chart
    namePerformance By Weekday
    label$
    x-axisDate
    y-axisprofit
    groupByDOW

    Performance By Weekday chart What it shows: Bar chart comparing total profit/loss for each day of the week (Monday through Sunday).

    Best for: Identifying optimal trading days, avoiding consistently losing days, and optimizing your trading schedule.


    3. Symbol Performance Comparison πŸ“Š

    Purpose: Compare performance across different currency pairs or instruments

    Settings:

    SettingValue
    chartTypebar chart
    nameSymbols Performance
    labelP&L
    x-axissymbol
    y-axisprofit
    commulativefalse

    Symbol Performance chart What it shows: Horizontal or vertical bar chart showing total profit/loss for each trading symbol.

    Best for: Identifying your most profitable instruments, focusing on high-performing pairs, and avoiding consistently losing symbols.


    4. Symbol Distribution Pie Chart πŸ₯§

    Purpose: Visualize the proportion of trades and profit/loss by symbol

    Settings:

    SettingValue
    chartTypepie chart
    nameSymbol Distribution
    labelP&L
    x-axissymbol
    y-axisprofit
    commulativefalse

     Symbol Distribution  chart What it shows: Pie chart displaying the percentage distribution of profit/loss across different symbols.

    Best for: Understanding portfolio allocation, identifying concentration risk, and balancing your trading across instruments.


    5. Monthly Performance Overview πŸ“ˆ

    Purpose: Track performance trends month by month

    Settings:

    SettingValue
    chartTypebar chart
    nameMonthly Performance
    labelMonthly P&L
    x-axisdate
    y-axisprofit
    groupBymonth
    commulativefalse

    Monthly Performance chart What it shows: Bar chart with monthly aggregated profit/loss, helping identify seasonal patterns and monthly trends.

    Best for: Seasonal analysis, monthly goal tracking, and identifying periods of consistent performance.


    6. Trade Frequency Analysis πŸ“Š

    Purpose: Analyze how many trades you're taking over time

    Settings:

    SettingValue
    chartTypebar chart
    nameTrades per Month
    labelNo of Trades
    x-axisdate
    y-axisprofit
    groupBymonth
    counttrue

    Trade Frequency  chart What it shows: Bar chart displaying the number of trades taken each month, regardless of profit/loss.

    Best for: Understanding trading frequency patterns, identifying over-trading periods, and maintaining consistent activity levels.


    7. Session Performance Analysis πŸ“Š

    Purpose: Compare performance across different trading sessions

    Settings:

    SettingValue
    chartTypebar chart
    nameSession Performance
    labelP&L by Session
    x-axissession
    y-axisprofit
    commulativefalse

    Session Performance chart What it shows: Bar chart comparing profit/loss across Asian, London, and New York sessions.

    Best for: Identifying your most profitable trading sessions, optimizing trading hours, and focusing on high-performing time periods.


    8. Direction Performance (Long vs Short) πŸ“Š

    Purpose: Compare performance between long and short positions

    Settings:

    SettingValue
    chartTypehorizontal
    nameDirection Performance
    labelP&L by Direction
    x-axisdirection
    y-axisprofit
    commulativefalse

     Direction Performance chart What it shows: Horizontal bar chart comparing total profit/loss for long vs short positions.

    Best for: Identifying directional bias, improving position sizing, and balancing long/short exposure.


    9. Overall stats widget πŸ₯§

    Purpose: Visualize your overall stats

    Settings:

    SettingValue
    chartTypewidget
    nameOverall Stats
    profit/lossprofit
    starting value10000

    verall stats widget chart What it shows: Cards displaying overall stats

    Best for: Tracking win rate, understanding risk/reward balance, and monitoring trading consistency.


    10. Yearly Performance Overview πŸ“ˆ

    Purpose: Long-term annual performance tracking

    Settings:

    SettingValue
    chartTypearea
    nameYearly Performance
    labelAnnual P&L
    x-axisdate
    y-axisprofit
    groupByyear
    commulativefalse

    What it shows: Area chart displaying yearly profit/loss totals.

    Best for: Long-term performance analysis, annual goal tracking, and multi-year trend identification.


    Chart Type Recommendations

    • Area Charts: Best for trends over time and cumulative data
    • Bar Charts: Best for comparisons between categories
    • Horizontal Bar Charts: Best for many categories with long labels
    • Pie Charts: Best for proportions and percentages
    • Doughnut Charts: Best for proportions with better visual appeal
    • Half-Donut Charts: Best for progress indicators and goal tracking

    Pro Tips for Implementation

    1. Start with Account Growth: Always begin with a cumulative account growth chart to understand your overall performance trajectory.

    2. Use Multiple Timeframes: Create the same analysis across different time groupings (day, week, month, year) to identify patterns.

    3. Combine Chart Types: Use cards for summary statistics alongside detailed charts for comprehensive analysis.

    4. Filter Strategically: Use filtering to focus on specific aspects of your trading (symbols, sessions, directions).

    5. Track Consistently: Update your charts regularly to maintain current insights and identify emerging patterns.

    Data Requirements

    Ensure your trading data includes these essential fields:

    • date /openTime: Date fields for temporal analysis
    • profit: Numerical profit/loss values
    • symbol: Trading instrument names
    • session: Trading session identifiers
    • direction: Long/short position indicators
    • win: Boolean win/loss indicators

    By implementing these chart configurations, you'll gain comprehensive insights into your trading performance, identify patterns, and make data-driven decisions to improve your trading strategy.