Thank your for your insights.
Also, it's worth mentioning that when we use FinancialData
function for french stocks, at least 10% of resulting time series dates are wrong :
- some Euronext official quoting dates are skipped,
- some official Euronext holidays are listed in the time series,
- also, there is not always consistency between dates of quotation between tickers of the same country.
For example :
firstTwoWeeksOfEuronextParis={{2022, 1, 3, 0, 0, 0.}, {2022, 1, 4, 0, 0, 0.}, {2022, 1, 5, 0, 0,
0.}, {2022, 1, 6, 0, 0, 0.}, {2022, 1, 7, 0, 0, 0.}, {2022, 1, 10,
0, 0, 0.}, {2022, 1, 11, 0, 0, 0.}, {2022, 1, 12, 0, 0, 0.}, {2022,
1, 13, 0, 0, 0.}, {2022, 1, 14, 0, 0, 0.}}
financialDataAC=Map[DateList, Map[DateObject[#, "Day"] &, FinancialData["PA:AC", "Close", {{2022, 1, 1}, {2022, 1, 14}}]["Dates"]]]
financialDataMC=Map[DateList, Map[DateObject[#, "Day"] &, FinancialData["PA:MC", "Close", {{2022, 1, 1}, {2022, 1, 14}}]["Dates"]]]
firstTwoWeeksOfEuronextParis
are the official days of Euronext Paris, when trading occurs.
financialDataAC
is a call of EURONEXT:ACCOR and financialDataMC
is a call of EURONEXT:LVMH.
In financialDataAC
result, 22/01/10 and 22/01/11 are missing dates and values.
In financialDataMC
result, only 22/01/10 dates and values are missing.
FinancialData
can't be trusted on french equities, and maybe anything that isn't US equities related data.
I'll report to Wolfram Support.