Online stock screener to find stocks that are negatively correlated to another stock/index?
Finviz can be screened by beta which is an index of correlation. Finviz covers all major North American exchanges and some others. There are lists with Top 1,000 Most and Less correlated stocks for different markets, I think you'll find the solution here:  https://unicornbay.com/tools/most-less-correlated-assets SeekingAlpha has a section dedicated to Short ETFs as well as others. In there you will find SH, and SDS.  Both of which are inverse to the S&P 500.  Edit: I linked to charts that compare SH and SDS to SPY. You may want to have a look at DiversifyPortfolio which will give you the info you want plus quite a bit more. They offer various tools all related to stock correlation and diversification. You'll be able to create heatmaps and various other charts showing stock correlations. It also has several scans which allow you to search for stocks that meet your requirements in terms of correlation to existing positions in your portfolio or to specific stocks / ETF's.
"Google Finance certainly has data for Tokyo Stock Exchange (called TYO on Google) listings.  You could create a ""portfolio"" consisting of the stocks you care about and then visit it once per day (or write a script to do so)." You could certainly look at the holdings of index funds and choose index funds that meet your qualifications.  Funds allow you to see their holdings, and in most cases you can tell from the description whether certain companies would qualify for their fund or not based on that description - particularly if you have a small set of companies that would be problems. You could also pick a fund category that is industry-specific. I invest in part in a Healthcare-focused fund, for example.  Pick a few industries that are relatively diverse from each other in terms of topics, but are still specific in terms of industry - a healthcare fund, a commodities fund, an REIT fund.  Then you could be confident that they weren't investing in defense contractors or big banks or whatever you object to. However, if you don't feel like you know enough to filter on your own, and want the diversity from non-industry-specific funds, your best option is likely a 'socially screened' fund like VFTSX is likely your best option; given there are many similar funds in that area, you might simply pick the one that is most similar to you in philosophy. "Find a stock screener that has data for the BSE and NSE. You may be able to look directly at volatility but a good stock screener will have the technical analysis indicator called ""average true range"", ATR for short. This will let you see the average range of price moves over several days." I've seen this tool.  I'm just having a hard time finding where I can just get a list of all the companies.    For example, you can get up to 100 results at a time, if I just search latest filings for 10-K.  This isn't really an efficient way to go about what I want. I haven't seen one of these in quite some time. Back in the 1970s, maybe the 1980s, stock brokers would occasionally send their retail clients a complimentary copy once in a while. Also, I remember the local newspaper would offer a year-end edition for a few dollars (maybe $3) and that edition would include the newspaper company's name on the cover. They were very handy little guides measuring 5 1/2 x 8 (horizontal) with one line devoted to each company. They listed hundreds of publicly traded companies and had basic info on each company. As you stated, for further info you needed to go to the library and follow-up with the big S&P and/or Moody's manuals. That was long before the internet made such info available at the click of a button on a home computer! Yes, add the stocks/mutual funds that you want and then you would just need to add all the transactions that you theoretically would have made. Performing the look up on the price at each date that you would have sold or bought is quite tedious as well as adding each transaction. Another one I have seen mentioned used is Equity Feed. It had varies levels of the software depending on the markets you want and can provide level 2 quotes if select that option. http://stockcharts.com/ is also a great tool I see mentioned with lots of free stuff. I can't provide a list, but when I took out my Stocks and Shares, I extensively researched for a good, cheap, flexible option and I went with FoolShareDealing.  I've found them to be good, and their online trading system works well.  I hope that's still the case. The point of that question is to test if the user can connect shares and stock price.  However, that being said yeah, you're right. Probably gives off the impression that it's a bit elementary. I'll look into changing it asap. As others have pointed out, the value of Apple's stock and the NASDAQ are most likely highly correlated for a number of reasons, not least among them the fact that Apple is part of the NASDAQ. However, because numerous factors affect the entire market, or at least a significant subset of it, it makes sense to develop a strategy to remove all of these factors without resorting to use of an index. Using an index to remove the effect of these factors might be a good idea, but you run the risk of potentially introducing other factors that affect the index, but not Apple. I don't know what those would be, but it's a valid theoretical concern.  In your question, you said you wanted to subtract them from each other, and only see an Apple curve moving around a horizontal line. The basic strategy I plan to use is similar but even simpler. Instead of graphing Apple's stock price, we can plot the difference between its stock price on business day t and business day t-1, which gives us this graph, which is essentially what you're looking for:  While this is only the preliminaries, it should give you a basic idea of one procedure that's used extensively to do just what you're asking. I don't know of a website that will automatically give you such a metric, but you could download the price data and use Excel, Stata, etc. to analyze this.  The reasoning behind this methodology builds heavily on time series econometrics, which for the sake of simplicity I won't go into in great detail, but I'll provide a brief explanation to satisfy the curious. In simple econometrics, most time series are approximated by a mathematical process comprised of several components: In the simplest case, the equations for a time series containing one or more of the above components are of the form that taking the first difference (the procedure I used above) will leave only the random component. However, if you want to pursue this rigorously, you would first perform a set of tests to determine if these components exist and if differencing is the best procedure to remove those that are present. Once you've reduced the series to its random component, you can use that component to examine how the process underlying the stock price has changed over the years. In my example, I highlighted Steve Jobs' death on the chart because it's one factor that may have led to the increased standard deviation/volatility of Apple's stock price. Although charts are somewhat subjective, it appears that the volatility was already increasing before his death, which could reflect other factors or the increasing expectation that he wouldn't be running the company in the near future, for whatever reason. My discussion of time series decomposition and the definitions of various components relies heavily on Walter Ender's text Applied Econometric Time Series. If you're interested, simple mathematical representations and a few relevant graphs are found on pages 1-3. Another related procedure would be to take the logarithm of the quotient of the current day's price and the previous day's price. In Apple's case, doing so yields this graph:  This reduces the overall magnitude of the values and allows you to see potential outliers more clearly. This produces a similar effect to the difference taken above because the log of a quotient is the same as the difference of the logs The significant drop depicted during the year 2000 occurred between September 28th and September 29th, where the stock price dropped from 26.36 to 12.69. Apart from the general environment of the dot-com bubble bursting, I'm not sure why this occurred. Another excellent resource for time series econometrics is James Hamilton's book, Time Series Analysis. It's considered a classic in the field of econometrics, although similar to Enders' book, it's fairly advanced for most investors.  I used Stata to generate the graphs above with data from Yahoo! Finance: There are a couple of nuances in this code related to how I defined the time series and the presence of weekends, but they don't affect the overall concept. For a robust analysis, I would make a few quick tweaks that would make the graphs less appealing without more work, but would allow for more accurate econometrics. I tried direct indexing the S&amp;P500 myself and it was a lot of work. Lots of buys and sells to rebalance, tons of time in spreadsheets running calculations/monitoring etc, dealing with stocks being added or removed from the index, adding money (inflows). Etc. All of the work is the main reason I stopped. I came to realize the 0.05% I pay Vanguard is a great deal. Okay, how good is my programmed test going to be if I'm new to trading? I thought the biggest flaw to algorithm trading is the people that write the code?  I am still trying to develop my own sense of swing reading with significant structure, price action, and other technicals. I was going to use the click-by-click, ninjatrader method to see what works best.   So, between your answer and my question. If I was going to buy data, from what stocks would be the best data to mine. L? You can pull up the VIX index on Google Finance by entering INDEXCBOE:VIX For video games the S&amp;P home entertainment software index will probably work. For airlines there's the S&amp;P airlines index but that may not work well for private jets.  You should browse different S&amp;P indicies based on GICS classifications or any other indicies you may find and then download their returns for the past few years and run a regression analysis on excel. Find the correlation between the indicies and the stock you're looking at then select the index with the highest correlation. There are too many qualifying questions like martial status, dependent status, annual income, etc. Your answer is most likely in the Form Pub 970 you referenced: Adjustments to Qualified Education Expenses If you pay qualified education expenses with certain tax-free funds,   you cannot claim a deduction for those amounts If the grant is tax free, you can not claim deductions up to that amount. Even if you were able to expense all the educational expenses you list, I doubt you can exceed the grant disbursement disbursement amount. I'm not a tax professional, so take my advice for what it is worth.