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Download Quote Summary Data

The quote summary item contains tons of different kinds of information. Not all information is available for all tickers. The get_quoteSummary function returns all items available for the ticker.

YFinance.get_quoteSummary — Function
get_quoteSummary(symbol::String; item=nothing)

Retrievs general information from Yahoo Finance stored in a JSON3 object.

Arguments

  • smybol::String is a ticker (e.g. AAPL for Apple Computers, or ^GSPC for the S&P500)

  • item can either be a string or multiple items as a Vector of Strings. To see valid items call _QuoteSummary_Items (not all items are available for all types of securities)

  • throw_error::Bool defaults to false. If set to true the function errors when the ticker is not valid. Else a warning is given and an empty JSON3.Object is returned.

Examples

julia> get_quoteSummary("AAPL")

JSON3.Object{Vector{UInt8}, SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}} with 31 entries:
:assetProfile             => {…
:recommendationTrend      => {…
:cashflowStatementHistory => {…

⋮                         => ⋮
julia> get_quoteSummary("AAPL",item = "quoteType")
JSON3.Object{Vector{UInt8}, SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}} with 13 entries:
:exchange               => "NMS"
:quoteType              => "EQUITY"
:symbol                 => "AAPL"
⋮                       => ⋮
source

Sub-Items

The below functions can extract certain items from the Yahoo quoteSummary. The functions below return OrderedDictionaries form the OrderCollections.jl package that can readily be piped into a DataFrame.

Calendar Events

YFinance.get_calendar_events — Function
get_calendar_events(quoteSummary::JSON3.Object)

Retrievs calendar events from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_calendar_events
OrderedDict{String, Any} with 3 entries:
  "dividend_date"   => DateTime("2022-11-10T00:00:00")
  "earnings_dates"  => [DateTime("2023-01-25T10:59:00"), DateTime("2023-01-30T12:00:00")]
  "exdividend_date" => DateTime("2022-11-04T00:00:00")

julia> get_calendar_events("AAPL")
OrderedDict{String, Any} with 3 entries:
  "dividend_date"   => DateTime("2022-11-10T00:00:00")
  "earnings_dates"  => [DateTime("2023-01-25T10:59:00"), DateTime("2023-01-30T12:00:00")]
  "exdividend_date" => DateTime("2022-11-04T00:00:00")

julia> using DataFrames
julia> get_calendar_events("AAPL") |> DataFrame
2×3 DataFrame
 Row │ dividend_date        earnings_dates       exdividend_date     
     │ DateTime             DateTime             DateTime
─────┼───────────────────────────────────────────────────────────────
   1 │ 2022-11-10T00:00:00  2023-01-25T10:59:00  2022-11-04T00:00:00
   2 │ 2022-11-10T00:00:00  2023-01-30T12:00:00  2022-11-04T00:00:00
source

Earnings Estimates

YFinance.get_earnings_estimates — Function
get_earnings_estimates(quoteSummary::JSON3.Object)

Retrievs the earnings estimates from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_earnings_estimates
OrderedDict{String, Vector} with 3 entries:
  "quarter"  => ["4Q2021", "1Q2022", "2Q2022", "3Q2022", "4Q2022"]
  "estimate" => [1.89, 1.43, 1.16, 1.27, 1.98]
  "actual"   => Union{Missing, Float64}[2.1, 1.52, 1.2, 1.29, missing]

julia> get_earnings_estimates("AAPL")
OrderedDict{String, Vector} with 3 entries:
  "quarter"  => ["4Q2021", "1Q2022", "2Q2022", "3Q2022", "4Q2022"]
  "estimate" => [1.89, 1.43, 1.16, 1.27, 1.98]
  "actual"   => Union{Missing, Float64}[2.1, 1.52, 1.2, 1.29, missing]

julia> using DataFrames
julia> get_earnings_estimates("AAPL") |> DataFrame
5×3 DataFrame
 Row │ quarter  estimate  actual     
     │ String   Float64   Float64?   
─────┼───────────────────────────────
   1 │ 4Q2021       1.89        2.1
   2 │ 1Q2022       1.43        1.52
   3 │ 2Q2022       1.16        1.2
   4 │ 3Q2022       1.27        1.29
   5 │ 4Q2022       1.98  missing
source

Earnings Per Share (EPS)

YFinance.get_eps — Function
get_eps(quoteSummary::JSON3.Object)

Retrievs the earnings per share from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_eps
OrderedDict{String, Vector} with 4 entries:
  "quarter"  => [DateTime("2021-12-31T00:00:00"), DateTime("2022-03-31T00:00:00"), DateTime("2022-06-30T00:00:00"), DateTime("2022-09-30T00:00:00")]
  "estimate" => [1.89, 1.43, 1.16, 1.27]
  "actual"   => [2.1, 1.52, 1.2, 1.29]
  "surprise" => [0.111, 0.063, 0.034, 0.016]

julia> get_eps("AAPL")
OrderedDict{String, Vector} with 4 entries:
  "quarter"  => [DateTime("2021-12-31T00:00:00"), DateTime("2022-03-31T00:00:00"), DateTime("2022-06-30T00:00:00"), DateTime("2022-09-30T00:00:00")]
  "estimate" => [1.89, 1.43, 1.16, 1.27]
  "actual"   => [2.1, 1.52, 1.2, 1.29]
  "surprise" => [0.111, 0.063, 0.034, 0.016]

julia> using DataFrames
julia> get_eps("AAPL") |> DataFrame
4×4 DataFrame
 Row │ quarter              estimate  actual   surprise 
     │ DateTime             Float64   Float64  Float64  
─────┼──────────────────────────────────────────────────
   1 │ 2021-12-31T00:00:00      1.89     2.1      0.111
   2 │ 2022-03-31T00:00:00      1.43     1.52     0.063
   3 │ 2022-06-30T00:00:00      1.16     1.2      0.034
   4 │ 2022-09-30T00:00:00      1.27     1.29     0.016
source

Insider Holdings

YFinance.get_insider_holders — Function
get_insider_holders(quoteSummary::JSON3.Object)

Retrievs the insiders holdings from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_insider_holders
OrderedDict{String, Vector} with 8 entries:
    "name"                 => ["ADAMS KATHERINE L", "BELL JAMES A", "JUNG ANDREA", "KONDO C…
    "relation"             => Union{Missing, String}["General Counsel", "Director", "Direct…  
    "description"          => Union{Missing, String}["Sale", "Stock Gift", "Conversion of E…  
    "lastestTransDate"     => Union{Missing, DateTime}[DateTime("2022-10-03T00:00:00"), Dat…  
    "positionDirect"       => Union{Missing, Int64}[427334, 34990, 139594, 31505, 4588720, …  
    "positionDirectDate"   => Union{Missing, DateTime}[DateTime("2022-10-03T00:00:00"), Dat…  
    "positionIndirect"     => Union{Missing, Int64}[missing, missing, missing, missing, mis…  
    "positionIndirectDate" => Union{Missing, DateTime}[missing, missing, missing, missing, …

julia> get_insider_holders("AAPL")
OrderedDict{String, Vector} with 8 entries:
    "name"                 => ["ADAMS KATHERINE L", "BELL JAMES A", "JUNG ANDREA", "KONDO C…
    "relation"             => Union{Missing, String}["General Counsel", "Director", "Direct…  
    "description"          => Union{Missing, String}["Sale", "Stock Gift", "Conversion of E…  
    "lastestTransDate"     => Union{Missing, DateTime}[DateTime("2022-10-03T00:00:00"), Dat…  
    "positionDirect"       => Union{Missing, Int64}[427334, 34990, 139594, 31505, 4588720, …  
    "positionDirectDate"   => Union{Missing, DateTime}[DateTime("2022-10-03T00:00:00"), Dat…  
    "positionIndirect"     => Union{Missing, Int64}[missing, missing, missing, missing, mis…  
    "positionIndirectDate" => Union{Missing, DateTime}[missing, missing, missing, missing, …


julia> using DataFrames
julia> get_insider_holders("AAPL") |> DataFrame
10×8 DataFrame
 Row │ name                relation                 description                        l ⋯
     │ String              String?                  String?                            D ⋯
─────┼────────────────────────────────────────────────────────────────────────────────────
   1 │ ADAMS KATHERINE L   General Counsel          Sale                               2 ⋯
   2 │ BELL JAMES A        Director                 Stock Gift                         2  
   3 │ JUNG ANDREA         Director                 Conversion of Exercise of deriva…  2  
   4 │ KONDO CHRISTOPHER   Officer                  Sale                               2  
   5 │ LEVINSON ARTHUR D   Director                 Sale                               2 ⋯
   6 │ MAESTRI LUCA        Chief Financial Officer  Sale                               2  
   7 │ O'BRIEN DEIRDRE     Officer                  Sale                               2  
   8 │ SUGAR RONALD D      Director                 Conversion of Exercise of deriva…  2  
   9 │ WAGNER SUSAN L      Director                 Conversion of Exercise of deriva…  2 ⋯
  10 │ WILLIAMS JEFFREY E  Chief Operating Officer  Conversion of Exercise of deriva…  2  
                                                                         5 columns omitted
source

Insider Transactions

YFinance.get_insider_transactions — Function
get_insider_transactions(quoteSummary::JSON3.Object)

Retrievs the insider transactions from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_insider_transactions
OrderedDict{String, Vector} with 7 entries:
  "filerName"       => ["KONDO CHRISTOPHER", "MAESTRI LUCA", "O'BRIEN DEIRDRE", "KONDO CH…  
  "filerRelation"   => Union{Missing, String}["Officer", "Chief Financial Officer", "Offi…  
  "transactionText" => Union{Missing, String}["Sale at price 148.72 per share.", "Sale at…  
  "date"            => Union{Missing, DateTime}[DateTime("2022-11-22T00:00:00"), DateTime…  
  "ownership"       => Union{Missing, String}["D", "D", "D", "D", "D", "D", "D", "D", "I"…  
  "shares"          => Union{Missing, Int64}[20200, 176299, 8053, 13136, 16612, 181139, 1…  
  "value"           => Union{Missing, Int64}[3004144, 27493275, 1147150, missing, missing…

julia> get_insider_transactions("AAPL")
OrderedDict{String, Vector} with 7 entries:
  "filerName"       => ["KONDO CHRISTOPHER", "MAESTRI LUCA", "O'BRIEN DEIRDRE", "KONDO CH…  
  "filerRelation"   => Union{Missing, String}["Officer", "Chief Financial Officer", "Offi…  
  "transactionText" => Union{Missing, String}["Sale at price 148.72 per share.", "Sale at…  
  "date"            => Union{Missing, DateTime}[DateTime("2022-11-22T00:00:00"), DateTime…  
  "ownership"       => Union{Missing, String}["D", "D", "D", "D", "D", "D", "D", "D", "I"…  
  "shares"          => Union{Missing, Int64}[20200, 176299, 8053, 13136, 16612, 181139, 1…  
  "value"           => Union{Missing, Int64}[3004144, 27493275, 1147150, missing, missing…

julia> using DataFrames
julia> get_insider_transactions("AAPL") |> DataFrame
75×7 DataFrame
 Row │ filerName           filerRelation            transactionText                    d ⋯
     │ String              String?                  String?                            D ⋯
─────┼────────────────────────────────────────────────────────────────────────────────────
   1 │ KONDO CHRISTOPHER   Officer                  Sale at price 148.72 per share.    2 ⋯
   2 │ MAESTRI LUCA        Chief Financial Officer  Sale at price 154.70 - 157.20 pe…  2  
   3 │ O'BRIEN DEIRDRE     Officer                  Sale at price 142.45 per share.    2  
   4 │ KONDO CHRISTOPHER   Officer                                                     2  
   5 │ O'BRIEN DEIRDRE     Officer                                                     2 ⋯   
   6 │ ADAMS KATHERINE L   General Counsel          Sale at price 138.44 - 142.93 pe…  2  
   7 │ O'BRIEN DEIRDRE     Officer                  Sale at price 141.09 - 142.83 pe…  2  
  ⋮  │         ⋮                      ⋮                             ⋮                    ⋱
  70 │ WAGNER SUSAN L      Director                                                    2  
  71 │ JUNG ANDREA         Director                                                    2 ⋯
  72 │ BELL JAMES A        Director                                                    2  
  73 │ LOZANO MONICA C.    Director                                                    2  
  74 │ GORE ALBERT A JR    Director                                                    2  
  75 │ ADAMS KATHERINE L   General Counsel          Sale at price 131.79 - 134.56 pe…  2 ⋯
                                                             4 columns and 62 rows omitted
source

Institutional Ownership

YFinance.get_institutional_ownership — Function
get_institutional_ownership(quoteSummary::JSON3.Object)

Retrievs the institutional ownership from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_institutional_ownership
OrderedDict{String, Vector} with 6 entries:
  "organization" => ["Vanguard Group, Inc. (The)", "Blackrock Inc.", "Berkshire Hathaway,…  
  "reportDate"   => Union{Missing, DateTime}[DateTime("2022-09-30T00:00:00"), DateTime("2…  
  "pctHeld"      => Union{Missing, Float64}[0.08, 0.0641, 0.0562, 0.0372, 0.0221, 0.0176,…  
  "position"     => Union{Missing, Int64}[1272378901, 1020245185, 894802319, 591543874, 3…  
  "value"        => Union{Missing, Int64}[164913030135, 132233979050, 115975329111, 76670…  
  "pctChange"    => Union{Missing, Float64}[-0.0039, -0.0082, 0.0, -0.0111, 0.0191, 0.005…

julia> get_institutional_ownership("AAPL")
OrderedDict{String, Vector} with 6 entries:
  "organization" => ["Vanguard Group, Inc. (The)", "Blackrock Inc.", "Berkshire Hathaway,…  
  "reportDate"   => Union{Missing, DateTime}[DateTime("2022-09-30T00:00:00"), DateTime("2…  
  "pctHeld"      => Union{Missing, Float64}[0.08, 0.0641, 0.0562, 0.0372, 0.0221, 0.0176,…  
  "position"     => Union{Missing, Int64}[1272378901, 1020245185, 894802319, 591543874, 3…  
  "value"        => Union{Missing, Int64}[164913030135, 132233979050, 115975329111, 76670…  
  "pctChange"    => Union{Missing, Float64}[-0.0039, -0.0082, 0.0, -0.0111, 0.0191, 0.005…

julia> using DataFrames
julia> get_institutional_ownership("AAPL") |> DataFrame
10×6 DataFrame
 Row │ organization                   reportDate           pctHeld   position    value   ⋯
     │ String                         DateTime?            Float64?  Int64?      Int64?  ⋯
─────┼────────────────────────────────────────────────────────────────────────────────────
   1 │ Vanguard Group, Inc. (The)     2022-09-30T00:00:00    0.08    1272378901  1649130 ⋯
   2 │ Blackrock Inc.                 2022-09-30T00:00:00    0.0641  1020245185  1322339  
   3 │ Berkshire Hathaway, Inc        2022-09-30T00:00:00    0.0562   894802319  1159753  
   4 │ State Street Corporation       2022-09-30T00:00:00    0.0372   591543874   766700  
   5 │ FMR, LLC                       2022-09-30T00:00:00    0.0221   350900116   454801 ⋯
   6 │ Geode Capital Management, LLC  2022-09-30T00:00:00    0.0176   279758518   362595  
   7 │ Price (T.Rowe) Associates Inc  2022-09-30T00:00:00    0.0141   224863541   291445  
   8 │ Morgan Stanley                 2022-09-30T00:00:00    0.0115   182728771   236834  
   9 │ Northern Trust Corporation     2022-09-30T00:00:00    0.0111   176084862   228223 ⋯
  10 │ Bank of America Corporation    2022-09-30T00:00:00    0.0089   142260591   184383  
                                                                         2 columns omitted
source

Major Holders Breakdown

YFinance.get_major_holders_breakdown — Function
get_major_holders_breakdown(quoteSummary::JSON3.Object)

Retrievs the breakdown of the major holders from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_major_holders_breakdown
OrderedDict{String, Real} with 4 entries:  
  "insidersPercentHeld"          => 0.00072
  "institutionsPercentHeld"      => 0.60915
  "institutionsFloatPercentHeld" => 0.60959
  "institutionsCount"            => 5526  

julia> get_major_holders_breakdown("AAPL")
OrderedDict{String, Real} with 4 entries:  
  "insidersPercentHeld"          => 0.00072
  "institutionsPercentHeld"      => 0.60915
  "institutionsFloatPercentHeld" => 0.60959
  "institutionsCount"            => 5526
source

Analyst Recommendation Trend

YFinance.get_recommendation_trend — Function
get_recommendation_trend(quoteSummary::JSON3.Object)

Retrievs the recommendation trend from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_recommendation_trend
OrderedDict{String, Vector} with 6 entries:
  "period"     => ["0m", "-1m", "-2m", "-3m"]
  "strongbuy"  => [11, 11, 11, 13]
  "buy"        => [21, 25, 26, 20]
  "hold"       => [6, 6, 5, 8]
  "sell"       => [0, 1, 1, 0]
  "strongsell" => [0, 0, 0, 0]

julia> get_recommendation_trend("AAPL")
OrderedDict{String, Vector} with 6 entries:
  "period"     => ["0m", "-1m", "-2m", "-3m"]
  "strongbuy"  => [11, 11, 11, 13]
  "buy"        => [21, 25, 26, 20]
  "hold"       => [6, 6, 5, 8]
  "sell"       => [0, 1, 1, 0]
  "strongsell" => [0, 0, 0, 0]
  
julia> using DataFrames
julia> get_recommendation_trend("AAPL") |> DataFrame
4×6 DataFrame
 Row │ period  strongbuy  buy    hold   sell   strongsell 
     │ String  Int64      Int64  Int64  Int64  Int64      
─────┼────────────────────────────────────────────────────
   1 │ 0m             11     21      6      0           0
   2 │ -1m            11     25      6      1           0
   3 │ -2m            11     26      5      1           0
   4 │ -3m            13     20      8      0           0
source

Up- & Downgrade History

YFinance.get_upgrade_downgrade_history — Function
get_upgrade_downgrade_history(quoteSummary::JSON3.Object)

Retrievs the upgrade and downgrade history from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_upgrade_downgrade_history
OrderedDict{String, Vector} with 5 entries:
  "firm"      => ["JP Morgan", "UBS", "Morgan Stanley", "B of A Securities", "Barclays", …  
  "date"      => Union{Missing, DateTime}[DateTime("2022-12-20T11:47:33"), DateTime("2022…  
  "toGrade"   => Union{Missing, String}["Overweight", "Buy", "Overweight", "Neutral", "Eq…  
  "fromGrade" => Union{Missing, String}["", "", "", "", "", "", "", "", "", ""  …  "", ""…  
  "action"    => Union{Missing, String}["main", "main", "main", "main", "main", "main", "…

julia> get_upgrade_downgrade_history("AAPL")
OrderedDict{String, Vector} with 5 entries:
  "firm"      => ["JP Morgan", "UBS", "Morgan Stanley", "B of A Securities", "Barclays", …  
  "date"      => Union{Missing, DateTime}[DateTime("2022-12-20T11:47:33"), DateTime("2022…  
  "toGrade"   => Union{Missing, String}["Overweight", "Buy", "Overweight", "Neutral", "Eq…  
  "fromGrade" => Union{Missing, String}["", "", "", "", "", "", "", "", "", ""  …  "", ""…  
  "action"    => Union{Missing, String}["main", "main", "main", "main", "main", "main", "…
  
julia> using DataFrames
julia> get_upgrade_downgrade_history("AAPL") |> DataFrame
872×5 DataFrame
 Row │ firm               date                 toGrade       fromGrade  action  
     │ String             DateTime?            String?       String?    String? 
─────┼──────────────────────────────────────────────────────────────────────────
   1 │ JP Morgan          2022-12-20T11:47:33  Overweight               main
   2 │ UBS                2022-11-08T12:17:03  Buy                      main
   3 │ Morgan Stanley     2022-11-08T12:14:23  Overweight               main
   4 │ B of A Securities  2022-11-07T13:08:30  Neutral                  main
   5 │ Barclays           2022-11-07T12:39:27  Equal-Weight             main
   6 │ Wedbush            2022-10-28T13:19:17  Outperform               main
   7 │ Credit Suisse      2022-10-28T11:59:30  Outperform               main
  ⋮  │         ⋮                   ⋮                ⋮            ⋮         ⋮
 867 │ Oxen Group         2012-03-14T15:25:00  Buy                      init
 868 │ Canaccord Genuity  2012-03-14T08:21:00  Buy                      main
 869 │ Morgan Stanley     2012-03-14T06:13:00  Overweight               main
 870 │ Jefferies          2012-03-13T06:08:00  Buy                      main
 871 │ FBN Securities     2012-03-08T07:33:00  Outperform               main
 872 │ Canaccord Genuity  2012-02-09T08:17:00  Buy                      main
                                                                859 rows omitted
source

Summary Detail

YFinance.get_summary_detail — Function
get_summary_detail(quoteSummary::JSON3.Object)

Retrievs the summaryDetail Item from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_summary_detail
OrderedDict{String, Any} with 41 entries:
  "priceHint"                  => 2
  "previousClose"              => 126.04
  "open"                       => 127.99
  "dayLow"                     => 127.815
  "dayHigh"                    => 130.48
  "regularMarketPreviousClose" => 126.04
  "regularMarketOpen"          => 127.99
  "regularMarketDayLow"        => 127.815
  "regularMarketDayHigh"       => 130.48
  "dividendRate"               => 0.92
  "dividendYield"              => 0.0073
  "exDividendDate"             => 1667520000
  "payoutRatio"                => 0.1473
  "fiveYearAvgDividendYield"   => 0.99
  "beta"                       => 1.21947
  "trailingPE"                 => 21.2128
  "forwardPE"                  => 19.1448
  ⋮                            => ⋮

julia> get_summary_detail("AAPL")
OrderedDict{String, Any} with 41 entries:
  "priceHint"                  => 2
  "previousClose"              => 126.04
  "open"                       => 127.99
  "dayLow"                     => 127.815
  "dayHigh"                    => 130.48
  "regularMarketPreviousClose" => 126.04
  "regularMarketOpen"          => 127.99
  "regularMarketDayLow"        => 127.815
  "regularMarketDayHigh"       => 130.48
  "dividendRate"               => 0.92
  "dividendYield"              => 0.0073
  "exDividendDate"             => 1667520000
  "payoutRatio"                => 0.1473
  "fiveYearAvgDividendYield"   => 0.99
  "beta"                       => 1.21947
  "trailingPE"                 => 21.2128
  "forwardPE"                  => 19.1448
  ⋮                            => ⋮
source

Sector & Industry

YFinance.get_sector_industry — Function
get_sector_industry(quoteSummary::JSON3.Object)

Retrievs the Sector and Industry from the quote summary.

Arguments

Can be either a JSON3.Object returned from get_quoteSummary(symbol::String; item=nothing,throw_error=false) or a ticker symbol of type AbstractString If a ticker symbol is provided get_quoteSummary(symbol::String) is called first.

Examples

julia> get_quoteSummary("AAPL") |> get_sector_industry
OrderedDict{String, String} with 2 entries:
  "sector"   => "Technology"
  "industry" => "Consumer Electronics"

julia> get_sector_industry("AAPL")
OrderedDict{String, String} with 2 entries:
  "sector"   => "Technology"
  "industry" => "Consumer Electronics"
source