Where can I get AEX historical data - Amsterdam?
"Try the general stock exchange web page. http://www.aex.nl I did a quick trial myself and was able to download historical data for the AEX index for the last few years.  To get to the data, I went to the menu point ""Koersen"" on the main page and chose ""Indices"". I then entered into the sub page for the AEX index. There is a price chart window in which you have to choose the tab ""view data"". Now you can choose the date range you need and then download in a table format such as excel or csv. This should be easy to import into any software.  This is the direct link to the sub page: http://www.aex.nl/nl/products/indices/NL0000000107-XAMS/quotes"
It is totally a demand problem.  Why aren't people buying things in Greece?  Because everyone's poor and there is no demand?  Why are people buying things in Germany?  Because the German Government spent their way out of their recession by spreading money around to the people that needed it.  Why did we get out of the great depression?  Because those without money were given some, which they then spent.  Companies aren't making stuff because no one is buying.  Historically, higher taxes on higher income people and businesses equate with a better economy.  I don't see any data, o. your side, just lots of hand-waving.  http://www.angrybearblog.com/2011/05/optimal-tax-rates-for-generating.html "First, I'd like to congratulate you on your financial discipline in paying off your loans and living well within your means.  I have friends who make more than twice your salary with similar debt obligations, and they barely scrape by month to month. If we combine your student loan debt and unallocated income each month, we get about $1,350.  You say that $378 per month is the minimum payment for your loans, which have an average interest rate of about 3.5%.  Thus, you have about $1,350 a month to ""invest."" Making your loan payments is basically the same as investing with the same return as the loan interest rate, when it comes down to it.  An interest rate of 3.5% is...not great, all things considered, and barely above inflation.    However, that's a guaranteed return of 3.5%, more or less like a bond.  As noted previously, the stock market historically averages 10% before inflation over the long run. The US stock market is right around its historic high at this point (DJIA is at 20,700 today, April 6th, 2017 - historic high hit just over 21,000 on March 1, 2017).  Obviously, no one can predict the future, but I get the feeling that a market correction may be in order, especially depending on how things go in Washington in the next weeks or months.  If that's the case (again, we have no way of knowing if it is), you'd be foolish to invest heavily in any stocks at this point. What I would do, given your situation, is invest the $1,350/month in a ""portfolio"" that's 50/50 stocks and ""bonds,"" where the bonds here are your student loans.  Here, you have a guaranteed return of ~3.5% on the bond portion, and you can still hedge the other 50% on stocks continuing their run (and also benefiting from dividends, capital gains, etc. over time).  I would apply the extra loan payments to the highest-interest loan first, paying only the minimum to the others.  Once the highest-interest loan is paid off, move onto the next one. Once you have all your loans paid off, your portfolio will be pretty much 100% stocks, at which point you may want to add in some actual bonds (say a 90/10 or 80/20 split, depending on what you want).  I'm assuming you're pretty young, so you still have plenty of time to let the magic of compounding interest do its work, even if you happen to get into the market right before it drops (well, that, and the fact that you won't really have much invested anyway). Again, let me stress that neither I nor anyone else has any way of knowing what will happen with the market - I'm just stating my opinion and what my course of action would be if I were in your shoes." This is where an insurance agent is very useful. They will help you choose appropriate coverage, based on local rebuilding costs, the build quality of your house (higher quality or historic/semi-historic construction requires a different type of coverage), etc. They can also help advise you on things like the need for flood insurance, etc. Local rules can vary, and the local agent will know about them. For example, we found out that my home was in a semi-historic district, which requires using higher-cost materials for reconstruction. Also, our city separately licenses tradespeople, who tend to be unionized and thus more expensive. Had I just picked default coverages, I would have been in a pickle in the event of a loss. "The mathematics site, WolframAlpha, provides such data. Here is a link to historic p/e data for Apple. You can chart other companies simply by typing ""p/e code"" into the search box.  For example, ""p/e XOM"" will give you historic p/e data for Exxon. A drop-down list box allows you to select a reporting period : 2 years, 5 years, 10 years, all data.  Below the chart you can read the minimum, maximum, and average p/e for the reporting period in addition to the dates on which the minimum and maximum were applicable." I've had luck finding old stock information in the Google scanned newspaper archives. Unfortunately there does not appear to be a way to search exactly by date, but a little browsing /experimenting should get what you want. For instance, here's a source which shows the price to be 36 3/4 (as far as I can read anyway) on that date. As another answer started, this information comes straight from an exchange and generally costs a fortune . . . However things change: IEX, a new exchange, recently opened and they are offering real time bid/ask data for free. Here's the API description: https://www.iextrading.com/developer/ This data should be good for active securities, but for securities less actively traded the numbers might be stale. "Such data is typically only available from paid sources due to the amount of research involved in determining the identity of delisted securities, surviving entities in merger scenarios, company name changes, symbol changes, listing venue changes, research of all capital events such as splits, and to ensure that the data coverage is complete. Many stocks that are delisted from a major exchange due to financial difficulties are still publicly tradeable companies with their continuing to trade as ""OTC"" shares.  Some large companies even have periods where they traded for a period of their history as OTC.  This happened to NYSE:NAV (Navistar) from Feb 2007 to July 2008, where they were delisted due to accounting statement inaccuracies and auditor difficulties.   In the case of Macromedia, it was listed on NASDAQ 13 Dec 1993 and had its final day of trading on 2 Dec 2005.  It had one stock split (2:1) with ex-date of 16 Oct 1995 and no dividends were ever paid. Other companies are harder to find.  For example, the bankrupt General Motors (was NYSE:GM) became Motoros Liquidation Corp (OTC:MTLQQ) and traded that way for almost 21 months before finally delisting. In mergers, there are in two (or more) entities - one surviving entity and one (or more) delisted entity.  In demergers/spinoffs there are two (or more)  entities - one that continues the capital structure of the original company and the other newly formed spun-off entity.  Just using the names of the companies is no indication of its history. For example, due to monopoly considerations, AT&T were forced to spinoff multiple companies in 1984 and effectively became 75% smaller.  One of the companies they spunoff was Southwestern Bell Corporation, which became SBC Communications in 1995.  In 2005 SBC took over its former parent company and immediately changed its name to AT&T.  So now we have two AT&Ts - one that was delisted in 2005 and another that exists to this day. Disclosure: I am a co-owner of Norgate Data (Premium Data), a data vendor in this area." Still working on exact answer to question....for now: (BONUS) Here is how to pull a graphical chart with the required data: Therefore: As r14 = the indicator for RSI.  The above pull would pull Google,   6months, line chart, linear, large, with a 50 day moving average, a   200 day exponential moving average, volume, and followed up with RSI. Reference Link:  Finance Yahoo! API's