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    Type Alias TradeTrackerContent

    type TradeTrackerContent = {
        avgHoldingPeriodInSeconds: number;
        avgHoldingPeriodInSecondsLosses: number;
        avgHoldingPeriodInSecondsProfits: number;
        avgLossAbsLosses?: Amount;
        avgLossRelLosses?: NumericString;
        avgProfitAbsProfits?: Amount;
        avgProfitLossAbs?: Amount;
        avgProfitLossRel?: NumericString;
        avgProfitRelProfits?: NumericString;
        avgTradedVolume?: Amount;
        byAssetClass: { assetClassId: number | null; profitLossAbs: Amount }[];
        byDate: {
            count: number;
            dateString: string;
            profitLossAbs: Amount;
            tradedVolume: Amount;
        }[];
        byHourOfDay: {
            hourOfDay: number;
            profitLossAbs: Amount;
            tradedVolume: Amount;
        }[];
        byMonth: { month: string; profitLossAbs: Amount; tradedVolume: Amount }[];
        byWeekday: { profitLossAbs: Amount; tradedVolume: Amount; weekday: number }[];
        dateRange: DateRange;
        flops: FlopTradeItem[];
        hitRate?: number;
        longTradesCountLosses: number;
        longTradesCountProfits: number;
        profitFactor?: number;
        profitLossAbs?: Amount;
        profitLossIsAfterFees?: boolean;
        shortTradesCountLosses: number;
        shortTradesCountProfits: number;
        topFlops: TopFlopTradeItem[];
        tops: TopTradeItem[];
        totalFees?: Amount;
        tradeCount: number;
        tradeCountLosses: number;
        tradeCountProfits: number;
    }
    Index

    Properties

    avgHoldingPeriodInSeconds avgHoldingPeriodInSecondsLosses avgHoldingPeriodInSecondsProfits avgLossAbsLosses? avgLossRelLosses? avgProfitAbsProfits? avgProfitLossAbs? avgProfitLossRel? avgProfitRelProfits? avgTradedVolume? byAssetClass byDate byHourOfDay byMonth byWeekday dateRange flops hitRate? longTradesCountLosses longTradesCountProfits profitFactor? profitLossAbs? profitLossIsAfterFees? shortTradesCountLosses shortTradesCountProfits topFlops tops totalFees? tradeCount tradeCountLosses tradeCountProfits

    Properties

    avgHoldingPeriodInSeconds: number
    avgHoldingPeriodInSecondsLosses: number

    the avg holding period, but only for loss trades

    avgHoldingPeriodInSecondsProfits: number

    the avg holding period, but only for profit trades

    avgLossAbsLosses?: Amount

    the avg absolute loss, only considering loss trades

    avgLossRelLosses?: NumericString

    the avg relative profit, only considering loss trades. 1 means +100%

    avgProfitAbsProfits?: Amount

    the avg absolute profit, only considering profit trades

    avgProfitLossAbs?: Amount
    avgProfitLossRel?: NumericString

    1 means +100%

    avgProfitRelProfits?: NumericString

    the avg relative profit, only considering profit trades. 1 means +100%

    avgTradedVolume?: Amount
    byAssetClass: { assetClassId: number | null; profitLossAbs: Amount }[]

    The P/L per assetClass. If an assetClass is unknown, assetClassId will be null.

    byDate: {
        count: number;
        dateString: string;
        profitLossAbs: Amount;
        tradedVolume: Amount;
    }[]
    byHourOfDay: { hourOfDay: number; profitLossAbs: Amount; tradedVolume: Amount }[]

    Type Declaration

    • hourOfDay: number

      The "hour of day bucket" in local time, so 11:16 would have the bucket 11.

    • profitLossAbs: Amount
    • tradedVolume: Amount
    byMonth: { month: string; profitLossAbs: Amount; tradedVolume: Amount }[]

    Type Declaration

    • month: string

      The "month bucket", in format YYYY-MM

    • profitLossAbs: Amount
    • tradedVolume: Amount
    byWeekday: { profitLossAbs: Amount; tradedVolume: Amount; weekday: number }[]

    Type Declaration

    • profitLossAbs: Amount
    • tradedVolume: Amount
    • weekday: number

      The "weekday bucket", like JavaScript Date getDay(), so 0 means Sunday

    dateRange: DateRange
    flops: FlopTradeItem[]

    A selection of flop items (= the worst 6 trades)

    hitRate?: number
    longTradesCountLosses: number
    longTradesCountProfits: number
    profitFactor?: number
    profitLossAbs?: Amount
    profitLossIsAfterFees?: boolean

    If this is true, fee data is factored into the profit loss values of the data.

    shortTradesCountLosses: number
    shortTradesCountProfits: number
    topFlops: TopFlopTradeItem[]

    A selection of top&flop trades (= the best 3 trades + the worst 3 trades)

    tops: TopTradeItem[]

    A selection of top items (= the best 6 trades)

    totalFees?: Amount
    tradeCount: number
    tradeCountLosses: number
    tradeCountProfits: number

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