Can GoogleFinance access total return data?
"This is the same answer as for your other question, but you can easily do this yourself: ( initial adjusted close / final adjusted close ) ^ ( 1 / ( # of years sampled) ) Note: ""# of years sampled"" can be a fraction, so the one week # of years sampled would be 1/52. Crazy to say, but yahoo finance is better at quick, easy, and free data.  Just pick a security, go to historical prices, and use the ""adjusted close"". money.msn's best at presenting finances quick, easy, and cheap." At this time, Google Finance doesn't support historical return or dividend data, only share prices.  The attributes for mutual funds such as return52 are only available as real-time data, not historical.   Yahoo also does not appear to offer market return data including dividends. For example, the S&P 500 index does not account for dividends--the S&P ^SPXTR index does, but is unavailable through Yahoo Finance.
Indices such as SP500 are typically including dividends - the payment of dividends doesn't impact the value of the index. Where can I find data on these dividends?  I found data on dividend yields, but these give me access only to the sum of dividends over the last year. This in turn can change either because there are new dividends being paid, or because you stop counting last year's dividends... I just finished a high frequency trading project. Individuals can do it, but you need a lot of capital. You can get a managed server in Times Square for $1500/month, giving you access to 90% of the US exchanges that matter, their data farms are within 3 milliseconds of distance (latency). You can also get more servers in the same building as the exchanges, if you know where to look ;) thats all I can divulge good luck Although not technically an answer to your question, I want to address why this is generally a bad idea.   People normally put money into a savings account so that they can have quick access to it if needed, and because it is safe.  You lose both of these advantages with a foreign account.  You are looking at extra time and fees to receive access to the money in those australian accounts.  And, more importantly, you are taking on substantial FX risk.  Since 2000 the AUD exchange rate has gone from a low of 0.4845 to a high of 1.0972.  Those swings are almost as large as the swings of the S&P.  But, you're only getting an average return of 3.5%, instead of the average return people expect with stocks of 10%. A better idea would be to talk to a financial adviser who can help you find an investment that meets your risk tolerance, but gives you a better return than your savings account. On a final thought, the exception to this would be if you plan on spending significant time in Australia.  Having money in a savings account there would actually allow you to mitigate some of your FX risk by allowing you to decide whether to convert USD when you are travelling, or using the money that you already have in your foreign account. I honestly don't understand this sense of entitlement to being able to use your own device.  By giving an employee access to sensitive data on their own device, you are taking a risk that the company cannot technologically or legally mitigate. In the UK it would be a de-facto breach of the Data Protection Act.  If there was a rootkit on an employee's phone or laptop, and they got access to any sensitive data then game over.   This is not about inconvenience, it is about not costing the companies in question billions in fines. It is simply not worth it - especially as most employees are perfectly capable of losing work computers on trains and so on, so trusting them to look after their own system security is asking a bit much.  What happens if they lose their own laptop? A work laptop can be set to self destruct, but few employees are going to let their companies have that level of control over their laptop. And, here in the UK, if sensitive data is lost in that way and can be recovered using forensic tools then - bam - fines. A company has a legal obligation to ensure that their employee's and customer's data is safe, and any data accessed on a phone or laptop is still stored somewhere on that phone or laptop.  Third party software like Dropbox is notoriously insecure, too, so that shouldn't ever be used on a machine containing sensitive data. It's hard enough getting employees to take security seriously before exponentially increasing these risks as you describe. If you have access, factset and bloomberg have this.  However, these aren't standardized due to non-existent reporting regulations, therefore each company may choose to categorize regions differently.  This makes it difficult to work with a large universe, and you'll probably end up doing a large portion manually anyways. UNG    United States Natural Gas Fund  Natural Gas USO    United States Oil Fund  West Texas Intermediate Crude Oil UGA    United States Gasoline Fund     Gasoline DBO    PowerShares DB Oil Fund     West Texas Intermediate Crude Oil UHN    United States Heating Oil Fund  Heating Oil I believe these are as close as you'd get. I'd avoid the double return flavors as they do not track well at all.  Update - I understand James' issue. An unmanaged single commodity ETF (for which it's impractical to take delivery and store) is always going to lag the spot price rise over time.   And therefore, the claims of the ETF issuer aside, these products will almost certain fail over time. As shown above, When my underlying asset rises 50%, and I see 24% return, I'm not happy. Gold doesn't have this effect as the ETF GLD just buys gold, you can't really do that with oil. "I had  both closing price and adjusted price of Apple showing the same amount after ""download data"" csv file was opened in excel. https://finance.yahoo.com/quote/AAPL/history?period1=1463599361&period2=1495135361&interval=div%7Csplit&filter=split&frequency=1d Its frustrating. My last option was to get the dividends history of the stock and add back to the adjusted price to compute the total return for a select stock for the period." Google Finance and Yahoo Finance have been transitioning their API (data interface) over the last 3 months. They are currently unreliable. If you're just interested in historical price data, I would recommend either Quandl or Tiingo (I am not affiliated with either, but I use them as data sources). Both have the same historical data (open, close, high, low, dividends, etc.) on a daily closing for thousands of Ticker symbols. Each service requires you to register and get a unique token. For basic historical data, there is no charge. I've been using both for many months and the data quality has been excellent and API (at least for python) is very easy! If you have an inclination for python software development, you can read about the drama with Google and Yahoo finance at the pandas-datareader group at https://github.com/pydata/pandas-datareader.