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How to download daily data? #15
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@dmicsa If you want daily price data you can run the following code: julia> using YFinance, DataFrames
julia> ticker = "AAPL";
julia> p = get_prices(ticker, interval = "1d", startdt = "2024-01-01", enddt="2025-01-01");
julia> DataFrame(p)
42×8 DataFrame
Row │ ticker timestamp open high low close adjclose vol
│ String DateTime Float64 Float64 Float64 Float64 Float64 Float64
─────┼──────────────────────────────────────────────────────────────────────────────────────
1 │ AAPL 2024-01-02T14:30:00 186.911 188.2 183.656 185.64 185.403 8.23836e7
2 │ AAPL 2024-01-03T14:30:00 183.985 185.643 183.196 184.25 184.015 5.83401e7
3 │ AAPL 2024-01-04T14:30:00 181.918 182.857 180.649 181.91 181.678 7.18919e7
4 │ AAPL 2024-01-05T14:30:00 181.758 182.527 179.94 181.18 180.949 6.22239e7
5 │ AAPL 2024-01-08T14:30:00 181.858 185.363 181.269 185.56 185.324 5.90691e7
6 │ AAPL 2024-01-09T14:30:00 183.686 184.914 182.497 185.14 184.904 4.27872e7
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮
37 │ AAPL 2024-02-23T14:30:00 185.01 185.04 182.23 182.52 182.52 4.51197e7
38 │ AAPL 2024-02-26T14:30:00 182.24 182.76 180.65 181.16 181.16 4.08674e7
39 │ AAPL 2024-02-27T14:30:00 181.1 183.92 179.56 182.63 182.63 5.43189e7
40 │ AAPL 2024-02-28T14:30:00 182.51 183.12 180.13 181.42 181.42 4.89539e7
41 │ AAPL 2024-02-29T14:30:00 181.27 182.57 179.53 180.75 180.75 1.36683e8
42 │ AAPL 2024-03-01T14:30:00 179.55 180.53 177.38 179.66 179.66 7.3488e7
30 rows omitted |
I am assuming you managed to download data and will close this issue now. |
TYVM. Yes please do it. |
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I can't figure out how to download daily that. Would someone be able to help me?
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