What publicly available software do professional stock traders use for stock analysis?
Factset also provides a host of tools for analysis. Not many people know as they aren't as prevalent as Bloomberg. CapitalQ and Thomson Reuters also provide analysis tools. Most of the market data providers also provide analysis tools to analyze the data they and others provide. Bloomberg Professional seems to be very popular. It provides any kind of data you can imagine. Analysis is a subjective interpretation of the data. 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. Bloomberg is very popular, especially for researching individual companies. Market QA and Factset are popular for analyzing data. Microsoft Excel and Matlab are very common for analyzing the data.  Lots of time traders will take data from Bloomberg, Market QA, Factset or where ever, and then actually preform their analytics in Excel or Matlab. A lot of the brokers provide their own software to traders using their platform, and that software can also contain different tools to help the traders as well. If you are looking to analyze stocks and don't need the other features provided by Bloomberg and Reuters (e.g. derivatives and FX), you could also look at WorldCap, which is a mobile solution to analyze global stocks, at FactSet and S&P CapitalIQ.  Please note that I am affiliated with WorldCap.
No, and using a 37 year old formula in finance that is as simple as: should make it obvious technical analysis is more of a game for retail traders than investment advice. When it comes to currencies, there are a myriad of macroeconomic occurrences that do not follow a predictable timescale. Using indicators like RSI on any time frame will not magically illuminate broad human psychology and give you an edge. It is theoretically possible for a single public stock's price to be driven by a range of technical traders who all buy at RSI 30 and sell at RSI 70, after becoming a favorite stock on social media, but it is infinitely more likely for all market participants to have completely different goals. Since then I had gotten a job at a supermarket stocking shelves, but recently got fired because I kept zoning out at work This is not a good sign for day trading, where you spend all day monitoring investments.  If you start focusing on the interesting math problem and ignoring your portfolio, you can easily lose money.  Not so big a problem for missed buy opportunities, but this could be fatal for missed sale opportunities.  Realize that in day trading, if you miss the uptick, you can get caught in a stock that is now going down.   And I agree with those who say that you aren't capitalized well enough to get started.  You need significantly more capital so that you can buy a diversified portfolio (diversification is your limitation, not hedging).  Let's say that you make money on two out of three stocks on average.  What are the chances that you will lose money on three stocks in a row?  One in twenty-seven.  What if that happens on your first three stocks?   What if your odds at starting are really one in three to make money?  Then you'll lose money more than half the time on each of your first three stocks.  The odds don't favor you.   If you really think that finance would interest you, consider signing up for an internship at an investment management firm or hedge fund.  Rather than being the person who monitors stocks for changes, you would be the person doing mathematical analysis on stock information.  Focusing on the math problem over other things is then what you are supposed to be doing.  If you are good at that, you should be able to turn that into a permanent job.  If not, then go back to school somewhere.  You may not like your schooling options, but they may be better than your work options at this time.   Note that most internships will be easier to get if you imply that you are only taking a break from schooling.  Avoid outright lying, but saying things like needing to find the right fit should work.  You may even want to start applying to schools now.  Then you can truthfully say that you are involved in the application process.  Be open about your interest in the mathematics of finance.  Serious math minds can be difficult to find at those firms.   Given your finances, it is not practical to become a day trader.  If you want proof, pick a stock that is less than $100.  Found it?  Write down its current price and the date and time.  You just bought that stock.  Now sell it for a profit.  Ignore historical data.  Just monitor the current price.  Missed the uptick?  Too bad.  That's reality.  Once you've sold it, pick another stock that you can afford.  Don't forget to mark your price down for the trading commission.  A quick search suggests that $7 a trade is a cheap price.  Realize that you make two trades on each stock (buy and sell), so that's $14 that you need to make on every stock.  Keep doing that until you've run out of money.  Realize that that is what you are proposing to do.   If you can make enough money doing that to replace a minimum wage job, then we're all wrong.  Borrow a $100 from your mom and go to town.  But as others have said, it is far more realistic to do this with a starting stake of $100,000 where you can invest in multiple stocks at once and spread your $7 trading fee over a hundred shares.  Starting with $100, you are more likely to run out of money within ten stocks. ETFs are legally required to publicly disclose their positions at every point in time. The reason for this is that for an ETF to issue shares of ETF they do NOT take cash in exchange but underlying securities - this is called a creation unit. So people need to know which shares to deliver to the fund to get a share of ETF in exchange. This is never done by retail clients, however, but by nominated market makers. Retail persons will normally trade shares only in the secondary market (ie. on a stock exchange), which does not require new shares of the ETF to be issued. However, they do not normally make it easy to find this information in a digestible way, and each ETF does it their own way. So typically services that offer this information are payable (as somebody has to scrape the information from a variety of sources or incentivise ETF providers to send it to them). If you have access to a Bloomberg terminal, this information is available from there. Otherwise there are paid for services that offer it. Searching on Google for ETF constituent data, I found two companies that offer it: See if you can find what you need there. Good luck. (etfdb even has a stock exposure tool freely available that allows you to see which ETFs have large exposure to a stock of your choosing, see here: http://etfdb.com/tool/etf-stock-exposure-tool/). Since this data is in a table format you could easily download it automatically using table parsing tools for your chosen programming language. PS: Don't bother with underlying index constituents, they are NOT required to be made public and index providers will normally charge handsomely for this so normally only institutional investors will have this information. As far as I know, the AMT implications are the same for a privately held company as for one that is publicly traded.  When I was given my ISO package, it came with a big package of articles on AMT to encourage me to exercise as close to the strike price as possible.  Remember that the further the actual price at the time of purchase is from the strike price, the more the likely liability for AMT.  That is an argument for buying early.  Your company should have a common metric for determining the price of the stock that is vetted by outside sources and stable from year to year that is used in a similar way to the publicly traded value when determining AMT liability. During acquisitions stock options often, from what I know of my industry, at least, become options in the new company's stock.  This won't always happen, but its possible that your options will simply translate.  This can be valuable, because the price of stock during acquisition may triple or quadruple (unless the acquisition is helping out a very troubled company). As long as you are confident that the company will one day be acquired rather than fold and you are able to hold the stock until that one day comes, or you'll be able to sell it back at a likely gain, other than tying up the money I don't see much of a downside to investing now. "Can you give me a rundown of what I'm seeing?  Is this basically a super zoomed in tracker of a current stock or something?  Where a stock fluctuates a few cents up/down on the day, and you just trade before it goes down, then trade as it goes up or what?  EDIT: Is this really live?  Can you say, ""Yes this is live narwalls""" I'm actually building a UK stock screener right now. It's more of an exercise in finding out how to work out technical things like MACD and EMA calculations, but if those are the things you're interested in, it's at  http://www.pifflevalve.co.uk/screen-builder/ As I say, it's more of a personal project than anything commercial, but it's fun to play with. "I interned for about six months at a firm that employed a few technical analysts, so I'll try to provide what little information I can. Since the bulk of the intra-day trading was decided algorithmically, technical analysts had two main functions: This basically boils down to my answer to your question. There are still enough people, trading firms, etc. who believe in candlestick charting and other visually subjective patterns that if you notice a trend, pattern, etc. before the majority of traders observing, you may be able to time the market successfully and profit. This is becoming increasingly dangerous, however, because of the steps I outlined above. Over time, the charting patterns that have been proven effective (often in many firms individually since the algorithms are all proprietary) are incorporated into computer algorithms, so the ""traders"" you're competing with to see the pattern are increasingly low-latency computer clusters less than a few blocks from the exchange. Summary: Candlestick charting, along with other forms of subjective technical analysis, has its believers, and assuming enough of these believers trade the standard strategies based on the standard patterns, one could conceivably time the market with enough skill to anticipate these traders acting on the pattern and therefore profit. However, the marginal benefits of doing so are decreasing rapidly as computers take over more trading responsibility.  Caveats:  I know you're in Australia, where the market penetration of HF/algo traders isn't as high as in the US, so it might be a few more years before the marginal benefits cease to be profitable; that being said, if various forms of technical analysis proved wildly profitable in Australia, above and beyond profits available in other markets, rest assured that large American or British trading firms would already have moved in.  My experience is limited to one trading firm, so I certainly can't speak for the industry as a whole. I know I didn't address candlestick charts specifically, but since they're only one piece of visual technical analysis, I tried to address the issue as a whole.  This somewhat ties into the debate between fundamental or technical analysis, which I won't get into. Investopedia has a short article on the subject. As I said, I won't get into this because while it's a nice debate for small traders, at large trading firms, they don't care; they want to make profit, and any strategy that can be vetted, whether it's fundamental, technical, or astrological, will be vetted.  I want to add more information to my answer to clear up some of the misconceptions in the comments, including those talking about biased studies and a lack of evidence for or against technical analysis (and candlestick charts; I'll explore this relationship further down).  It's important to keep in mind that charting methods, including candlestick charts, are visually subjective ways of representing data, and that any interpretations drawn from such charts should, ideally, represent objective technical indicators. A charting method is only as good as the indicators it's used to represent. Therefore, an analysis of the underlying indicators provides a suitable analysis for the visual medium in which they're presented.  One important study that evaluates several of these indicators is Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation by Lo, Mamaysky, and Wang. Lest anyone accuse its authors of bias, I should point out that not only is it published by the National Bureau of Economic Research (a highly reputable organization within economics and finance), but also that the majority of its authors come from MIT's Sloan school, which holds a reputation second to none. This study finds that several technical indicators, e.g. head-and-shoulder, double-bottom, and various rectangle techniques, do provide marginal value. They also find that although  human judgment is still superior to most computational algorithms in the area of visual pattern recognition, ... technical analysis can be improved by using automated algorithms Since this paper was published in 2000, computing power and statistical analysis have gained significant ground against human ability to identify and exploit for visual pattern detection like candlestick charts.  Second, I suggest you look into David Aaronson's book, Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals. He finds similar results to the Lo, et. al. paper, in that some technical indicators do add value to the investment process, but those that do are those that can be represented mathematically and thus programmed directly into trading algorithms (thus bypassing visual tools like candlestick charts).  He describes how studies, including Lo, et al., have found that head and shoulders patterns are worse than random, i.e. you would earn higher returns if you simply traded at random. That point is worth than repeating. If a day-trader is using a candlestick chart and using head-and-shoulders patterns as part of their toolkit, he's rolling the dice when he uses that pattern and returns that come from its application come from chance. This reminds me of that old story about a company that sends out pamphlets predicting the results of sports games, complete with ""strategies"" and ""data"" to back up the predictions. The company sends out several versions of the pamphlet every game, each predicting a different winner. Given a large enough sample size, by the end of the season, there are a few people who have received a pamphlet that accurately predicted the winner for every game and they're convinced the system is perfect. The others weren't so lucky, however. Relying on candlestick charts and TA patterns that are relics from the pre-computerized era is reassuring to some traders and gives them a sense of control and ""beating the market,"" but how long will chance remain on your side? This is why I maintain that visual tools like candlestick charts are a slowly dying medium. They certainly still add value to some trading firms, which is why Bloomberg terminals still ship with this functionality built in, but as more and more research shows, automated algorithms and statistical indicators can provide more value. It's also important to think about whether the majority of the value added by visual tools like candlestick charts comes in the form of profit or a sense of security to traders who learned the field using them over the past few decades.  Finally, it's extremely important to realize that the actions of retail investors in the equities market cannot begin to represent the behaviors of the market as a whole. In the equities markets alone, trading firms and institutional investors dwarf retail investors, and the difference in scale is even more vastly pronounced in derivatives and currency markets. The fact that some retail investors use candlestick charts and the technical indicators they (hope) underlie them provides nothing but minor anecdotal evidence as to their effectiveness." Take a look at http://en.wikipedia.org/wiki/Comparison_of_accounting_software, in particular the rows with a market focus of 'personal'. This is probably one of the more complete lists available, and shows if they are web-based (like Mint) or standalone (like Quicken or Microsoft Money).