I'm not sure I quite understand this part of the question: "Something like the 10,000 usd reinvested one can get using the eikon desktop app would be enough if EOD data is available". Perhaps what you're looking for is total return on a stock? If this is the case you can get total return from Eikon Data API using the field TR.TotalReturn. E.g. this will give the total return on Thomson Reuters stock between 01-JAN-17 and 01-JAN-18:

ek.get_data(['TRI.N'],['TR.TotalReturn'],{'SDate':'2017-01-01', 'EDate':'2018-01-01'})

The practice of what to consider a capital change event requiring stock price adjustment differs by market. E.g. in Brazil the market practice is to adjust stock price histories for dividends whereas in the US the practice is to exclude dividends from capital changes requiring adjustment of a stock price history. If the practice for the market you're interested in is to not adjust price history for dividends, you can always do the adjustment yourself: retrieve the price history, the dividend history and do the adjustment following the methodology of your choosing (e.g. subtract the dividend amount from the stock price).

@Alex Putkov.

Thank you for the answer.

If the practice for the market you're interested in is to not adjust price history for dividends, you can always do the adjustment yourself

I figured as such but dividend adjusting the historical price of all stocks of the russel 2000 is somewhat troublesome. Even if i can hypothetically do that with one or two for loops i guess that is not what i was expecting from Eikon.

Even if the US Market uses only split adjusted data i see no reason for split-dividend adjusted data to not be available.

Split-Dividend adjusted data is essencial for backtesting and portfolio optimization and i'm somewhat puzzed this is not getting more attention (services like Quantopian seem to understand that).

In respect to the total return, what i meant was growth data would be enough for me, even if it was normalized to say, 10,000. The price per se is not necessary, as i normalize it to run the optimization.

@Alex Putkov.

Again, thank you for the quick response. I will follow through with your recomendation and contact the help desk.

For future reference the API call I was making was:

SPY = ek.get_timeseries(["SPY"],
                        "Close",
                        start_date="2016-12-30",  
                        end_date="2017-12-31")

Which returns close data unadjusted for dividends/distributions.

P.S. - From what i gathered European ETF and mutual Funds are also dividend/distribution unadjusted.

@luis_paulo_silva For funds, including ETFs, you can get the performances of the fund and then derive its “adjusted historical prices). Because the performance provided by Lipper is by-default the total return that reflects dividends (reinvested on ex-div date) and other cooperate actions such as unit split/merge. However, for historical rolling performances, only weekly performances are available for 5-year period or shorter and only monthly performances for longer period.

@luis_paulo_silva is not the only person interested in dividend adjusted data. Imho it is one of the major drawbacks of Eikon, and something that tradingview and stockcharts offers for free! You cannot properly utilize technical indicators on equities if your underlying data is not adjusted for cash dividends - a signal can be generated improperly simply by the underlying equity going 'ex-dividend'. The total return function does not give the OHLC prices, and having to pull all of the data and calculate on my own is burdensome and seems like reinventing the wheel.

I don't think any solution has been provided. Still a major failing of this platform.

This is the same for the Datascope Select API. When sending a request with the condition "adjustedPrices: true", it does not adjust for cash dividends