using PlotlyJS, HTTP, CSV
function ohlc1()
t = ohlc(open=[33.0, 33.3, 33.5, 33.0, 34.1],
high=[33.1, 33.3, 33.6, 33.2, 34.8],
low=[32.7, 32.7, 32.8, 32.6, 32.8],
close=[33.0, 32.9, 33.3, 33.1, 33.1])
plot(t)
end
ohlc1()
function ohlc2()
function get_ohlc(ticker; kwargs...)
res = HTTP.get("https://www.quandl.com/api/v3/datasets/WIKI/$(ticker)/data.csv?start_date=2017-01-01")
df = CSV.read(res.body)
ohlc(df, x=:Date, open=:Open, high=:High, low=:Low, close=:Close; kwargs...)
end
p1 = plot(get_ohlc("AAPL", name="Apple"), Layout(title="Apple"))
p2 = plot(get_ohlc("GOOG", name="Google"), Layout(title="Google"))
[p1 p2]
end
ohlc2()
function candlestick1()
t = candlestick(open=[33.0, 33.3, 33.5, 33.0, 34.1],
high=[33.1, 33.3, 33.6, 33.2, 34.8],
low=[32.7, 32.7, 32.8, 32.6, 32.8],
close=[33.0, 32.9, 33.3, 33.1, 33.1])
plot(t)
end
candlestick1()
function candlestick2()
function get_candlestick(ticker; kwargs...)
res = HTTP.get("https://www.quandl.com/api/v3/datasets/WIKI/$(ticker)/data.csv?start_date=2017-01-01")
df = CSV.read(res.body)
candlestick(df, x=:Date, open=:Open, high=:High, low=:Low, close=:Close; kwargs...)
end
p1 = plot(get_candlestick("AAPL", name="Apple"), Layout(title="Apple"))
p2 = plot(get_candlestick("GOOG", name="Google"), Layout(title="Google"))
[p1 p2]
end
candlestick2()