Bom dia, Os valores variam ainda que utilizada a mesma função. A razão para isso deve estar na programação da API do Yahoo. O fato é que os valores não são "errados" pois se relacionam à "timestamps" ligeiramente diferentes. Um mesmo "timestamp" terá o mesmo valor (veja na saída abaixo). O "timestamp" nesse caso é a data convertida em segundos, tomando por origem "1970-01-01". ### <code r> url0 <- " http://chartapi.finance.yahoo.com/instrument/1.0/AAPL/chartdata;type=quote;r... " page1 <- readLines(url0); t1 <- Sys.time() t1; head(read.csv(text=page1, skip = 17, header = FALSE), 3) # [1] "2015-03-25 08:45:49 AMT" # V1 V2 V3 V4 V5 V6 # 1 1427203800 127.15 127.26 127.000 127.23 654800 # 2 1427203879 126.92 127.19 126.875 127.15 179100 # 3 1427203979 126.90 127.06 126.870 126.91 198000 page2 <- readLines(url0); t2 <- Sys.time() t2; head(read.csv(text=page2, skip = 17, header = FALSE), 3) # [1] "2015-03-25 08:46:11 AMT" # V1 V2 V3 V4 V5 V6 # 1 1427203859 127.19 127.26 127.0796 127.20 622100 # 2 1427203918 126.92 127.19 126.8750 127.18 205200 # 3 1427203979 126.90 127.06 126.8700 126.91 204600 ### Transformando timestamp em datas as.POSIXct(c(1427203800, 1427203859), origin="1970-01-01") as.POSIXct(c(1427203879, 1427203918), origin="1970-01-01") ### </code> Éder Comunello <c <comunello.eder@gmail.com>omunello.eder@gmail.com> Dourados, MS - [22 16.5'S, 54 49'W] Em 24 de março de 2015 13:40, Michelle Bau Graczyk <mbgraczyk@gmail.com> escreveu:
Boa tarde,
Eu estava verificando os diferentes modos de coletar dados intraday do yahoo e percebi que para cada função que eu uso, os dados obtidos são diferentes.
Por exemplo, se eu uso:
dados <- readLines(' http://chartapi.finance.yahoo.com/instrument/1.0/AAPL/chartdata;type=quote;range=1d/csv',sep = ",", dec = ".")
eu obtenho: "18" "1427203800,127.1800,127.2600,127.0000,127.2300,631900" "19" "1427203868,126.9200,127.1900,126.8750,127.1700,202000" "20" "1427203920,126.9600,127.0600,126.8700,126.9100,189500" "21" "1427203981,126.9500,126.9900,126.8800,126.8900,198200" "22" "1427204099,126.7799,126.9900,126.7700,126.9500,217500" "23" "1427204100,126.6700,126.9000,126.6401,126.7799,286300" "24" "1427204219,126.7100,126.8000,126.6500,126.6800,222800" "25" "1427204221,126.8300,126.8700,126.5600,126.7000,238500" "26" "1427204280,126.7100,126.9200,126.6700,126.8200,167500" "27" "1427204340,126.8300,126.9300,126.7000,126.7166,114900" "28" "1427204457,126.6400,126.8300,126.6000,126.8100,156100" "29" "1427204460,126.6500,126.7900,126.6385,126.6900,102800"
se eu uso: dados <- getURL(' http://chartapi.finance.yahoo.com/instrument/1.0/AAPL/chartdata;type=quote;range=1d/csv',sep = ",", dec = ".") obtenho:
1427203805,127.1900,127.2600,127.0796,127.2000,626100 1427203862,126.9200,127.1900,126.8750,127.1800,207800 1427203979,126.9000,127.0600,126.8700,126.9100,198000 1427203980,126.9500,126.9900,126.8800,126.9000,172200 1427204099,126.7799,126.9900,126.7700,126.9500,235000 1427204100,126.6700,126.9000,126.6401,126.7799,286300 1427204219,126.7100,126.8000,126.6500,126.6800,222800 1427204221,126.8300,126.8700,126.5600,126.7000,238500 1427204280,126.7100,126.9200,126.6700,126.8200,167500 1427204340,126.8300,126.9300,126.7000,126.7166,114900 1427204459,126.6915,126.8300,126.6100,126.8100,160900 1427204460,126.6500,126.7900,126.6385,126.6900,98000
Usando read.csv também dá dados diferentes de começo.
Alguem saberia me dizer o por que? E em qual devo confiar? Porque nenhuma é igualzinha ao que aparece quando você coloca esse endereço http://chartapi.finance.yahoo.com/instrument/1.0/AAPL/chartdata;type=quote;r... no navegador. O resultado deste é:
1427203800,127.1200,127.2300,127.0000,127.2300,631900 1427203900,127.0300,127.1900,127.0000,127.1700,87400 1427203978,126.9200,127.0400,126.8700,126.9050,309600 1427204038,126.9600,126.9900,126.8800,126.9399,174900 1427204099,126.7799,126.9900,126.7700,126.9600,235300 1427204100,126.6700,126.9000,126.6401,126.7799,286300 1427204219,126.7100,126.8000,126.6500,126.6800,222800 1427204221,126.8300,126.8700,126.5600,126.7000,238500 1427204280,126.7100,126.9200,126.6700,126.8200,167500 1427204340,126.8300,126.9300,126.7000,126.7166,114900 1427204459,126.6915,126.8300,126.6000,126.8100,160900 1427204460,126.6500,126.7900,126.6385,126.6900,98000 1427204520,126.7100,126.7200,126.6000,126.6500,108700 1427204581,126.7100,126.8400,126.6800,126.7100,129600 1427204641,126.7400,126.7700,126.6600,126.7300,98700
Obrigada,
Michelle
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