How to read a chart after a split?
"The share price on its own has little relevance without looking at variations. In your case, if the stock went from 2.80 to 0.33, you should care only about the 88% drop in value, not what it means in pre-split dollar values. You are correct that you can ""un-split"" to give you an idea of what would have been the dollar value but that should not give you any more information than the variation of 88% would. As for your title question, you should read the chart as if no split occurred as for most intents and purposes it should not affect stock price other than the obvious split."
In theory*, if a company has 1m shares at $10 and does a 10 for 1 split, then the day after it has 10m shares at $1 (assuming no market move). So both the price and the number of share change, keeping the total value of the company unchanged. Regarding your BIS, I suspect that the new number of shares has not been reported yet because it's an ETF (the number of shares in issue changes everyday due to in/out flows). Your TWX example is not ideal either because there was a spin off on the same day as the stock split so you need to separate the two effects. * Some studies have documented a positive stock split effect - one of the suggested reasons is that the stock becomes more liquid after the split. But other studies have rejected that conclusion, so you can probably safely consider that on average it will not have a material effect. The difference is that for the one year time frame the data is represented based on daily data and the SMA is 20 days, whilst for the 5 year timeframe the data is automatically represented as weekly data with the SMA represented by 20 weeks not 20 days anymore. This happens due to daily data on this chart being too much data to represent over a 5 year period so the data defaults to weekly data over such a long period. If the chart is represented as weekly data then any indicators will also have to be represented in weekly data. If you use a more sophisticated charting program you can actually select to see daily or weekly data over longer periods such as 5 years or more. "First, I would like to use a better chart.  In my opinion, a close of day line chart obscures a lot of important information.  Here is a daily OHLC log chart:  The initial drop from the 1099.23 close on Oct 3 was to 839.8 intraday, to close at 899.22 on Oct 10.  After this the market was still very volatile and reached a low of 747.78 on Nov 20, closing only slightly higher than this.  It traded as high as 934.70 on Jan 6, 2009, but the whole period of Nov 24 - Feb 13 was somewhat of a trading range of roughly 800-900.  Despite this, the news reports of the time were frequently saying things like ""this isn't going to be a V shaped recovery, it is going to be U shaped.""  The roughly one week dip you see Feb 27 - Mar 9 taking it to an intraday low of 666.79 (only about 11% below the previous low) on first glance appears to be just a continuation of the previous trend.   However... The Mar 10 uptrend started with various news articles (such as this one) which I recall at the time suggested things like reinstating the parts of the Glass–Steagall Act of 1933 which had been repealed by the Gramm–Leach–Bliley Act.  Although these attempts appear to have been unsuccessful, the widespread telegraphing of such attempts in the media seemed to have reversed a common notion which I saw widespread on forums and other places that, ""we are going to be in this mess forever, the market has nowhere to go but down, and therefore shorting the market is a good idea now.""  I don't find the article itself, but one prominent theme was the ""up-tick"" rule on short selling: source From this viewpoint, then, that the last dip was driven not so much by a recognition that the economy was really in the toilet (as this really was discounted in the first drop and at least by late November had already been figured into the price).  Instead, it was sort of the opposite of a market top, where now you started seeing individual investors jump on the band-wagon and decide that now was the time for a foray into selling (short).  The fact that the up-tick rule was likely to be re-instated had a noticeable effect on halting the final slide." "Their algorithm may be different (and proprietary), but how I would to it is to assume that daily changes in the stock are distributed normally (meaning the probability distribution is a ""bell curve"" - the green area in your chart).  I would then calculate the average and standard deviation (volatility) of historical returns to determine the center and width of the bell curve (calibrating it to expected returns and implied volaility based on option prices), then use standard formulas for lognormal distributions to calculate the probability of the price exceeding the strike price. So there are many assumptions involved, and in the end it's just a probability, so there's no way to know if it's right or wrong - either the stock will cross the strike or it won't." If you want to see one split, well, a reverse split anyway, keep an eye on TZA, FAZ, BGZ, and any Direxion fund.  These funds decay continuously forever.  Once they get close to $10-$15 or so, they reverse-split them back to the $30-$50 range and the process starts over.  This happens about once a year. A few years ago I sent Direxion an email asking what happens when they run out of shares to reverse split and the reply was that's its an open fund where shares can be created or redeemed at will.  That still didn't answer the question of what happens when they run out of shares.  If they create new shares, the price will drop below the $10 level where many fund managers aren't allowed to buy. "A lot of investors prefer to start jumping into tools and figuring out from there, but I've always said that you should learn the theory before you go around applying it, so you can understand its shortcomings.  A great starting point is Investopedia's Introduction to Technical Analysis. There you can read about the ""idea"" of technical analysis, how it compares to other strategies, what some of the big ideas are, and quite a bit about various chart patterns (cup and handle, flags, pennants, triangles, head & shoulders, etc). You'll also cover ideas like moving averages and trendlines. After that, Charting and Technical Analysis by Fred McAllen should be your next stop. The material in the book overlaps with what you've read on Investopedia, but McAllen's book is great for learning from examples and seeing the concepts applied in action. The book is for new comers and does a good job explaining how to utilize all these charts and patterns, and after finishing it, you should be ready to invest on your own.  If you make it this far, feel free to jump into Fidelity's tools now and start applying what you've learned. You always want to make the connection between theory and practice, so start  figuring out how you can use your new knowledge to generate good returns.  Eventually, you should read the excellent reference text Technical Analysis of the Financial Markets by John Murphy. This book is like a toolbox - Murphy covers almost all the major techniques of technical analysts and helps you intuitively understand the reasoning behind them. I'd like to quote a part of a review here to show my point:  What I   like about Mr. Murphy is his way of showing and proving a point. Let   me digress here to show you what I mean: Say you had a daughter and   wanted to show her how to figure out the area of an Isosceles   triangle. Well, you could tell her to memorize that it is   base*height/2. Or if you really wanted her to learn it thoroughly you   can show her how to draw a parallel line to the height, then join the   ends to make a nice rectangle. Then to compute the area of a rectangle   just multiply the two sides, one being the height, the other being   half the base. She will then ""derive"" this and   ""understand"" how they got the formula. You see, then she can   compute the area under a hexagon or a tetrahedron or any complex   object. Well, Mr. Murphy will show us the same way and   ""derive"" for us concepts such as how a resistance line later   becomes a support line! The reson for this is so amusing that after   one reads about it we just go ""wow..."""" Now I understand why   this occurs"". Murphy's book is not about strategy or which tools to use. He takes an objective approach to describing the basics about various tools and techniques, and leaves it up to the reader to decide which tools to apply and when. That's why it's 576 pages and a great reference whenever you're working.  If you make it through and understand Murphy, then you'll be golden. Again, understand the theory first, but make sure to see how it's applied as well - otherwise you're just reading without any practical knowledge. To quote Richard Feynman: It doesn't matter how beautiful your theory is, it doesn't matter how smart you are. If it doesn't agree with experiment, it's wrong.  Personally, I think technical analysis is all BS and a waste of time, and most of the top investors would agree, but at the end of the day, ignore everyone and stick to what works for you. Best of luck!" "Yahoo's ""Adj Close"" data is adjusted for splits, but not for dividends. Despite Yahoo's webpage's footnote saying  *Close price adjusted for dividends and splits. we can see empirically that the ""Adj Close"" is only adjusted for splits. For example, consider Siemens from Jan 27, 2017 to Mar 15, 2017: The Adj Close adjusts for splits: On any particular day, the ""Adj Close"" is equal to the ""Close"" price divided by the cumulative product of all splits that occurred after that day. If there have been no splits after that day, then the ""Adj Close"" equals the ""Close"" price. Since there is a 2-for-1 split on Mar 14, 2017, the Adj Close is half the Close price for all dates from Jan 27, 2017 to Mar 13, 2017. Note that if Siemens were to split again at some time in the future, the Adj Close prices will be readjusted for this future split. For example, if Siemens were to split 3-for-1 tomorrow, then all the Adj Close prices seen above will be divided by 3. The Adj Close is thus showing the price that a share would have traded on that day if the shares had already been split in accordance with all splits up to today. The Adj Close does not adjust for dividends: Notice that Siemens distributed a $1.87 dividend on Feb 02, 2017 and ~$3.74 dividend on Jan 30, 2017. If the Adj Close value were adjusted for these dividends then we should expect the Adj Close should no longer be exactly half of the Close amount. But we can see that there is no such adjustment -- the Adj Close remains (up to rounding) exactly half the Close amount: Note that in theory, the market reacts to the distribution of dividends by reducing the trading price of shares post-dividend. This in turn is reflected in the raw closing price. So in that sense the Adj Close is also automatically adjusted for dividends. But there is no formula for this. The effect is already baked in through the market's closing prices." There are Patterns inside of Patterns. You will see short term patterns (flags / pennants) inside of long term patterns (trend lines, channels) and typically you want to trade those short term patterns in line with the direction of the long term pattern.  Take a look at the attached chart of GPN. I would like to recommend two excellent books on Chart Patterns. Richard W. Schabacker book he wrote in the 1930's. It is the basis for modern technical pattern analysis.  Technical Analysis and Stock Market Profits  Peter Brandt Diary of a Professional Commodity Trader. He takes you through analysis and trades. That is true. You will not be able to reconstruct the value of the index from the data returned with this script.  I initially wrote this script because I wanted data for a lot of stocks and I wanted to perform PCA on the stocks currently included in the index. It will be similar to what you have said -- the options price will adjust accordingly following a stock split - Here's a good reference on different scenarios - Splits, Mergers, Spinoffs & Bankruptcies also if you have time to read Characteristics & Risks of Standardized Options I'm responsible for all our hedging.  Since we sell the energy to end users we do mostly fixed buys, swaps and calls.  I'm a excel guru and dabble a little in SQL.  we have Crystal Ball as well but i have no idea how to use it.  I guess I'm trying to figure out if there is a tool that people use to help me analyze the spreads. or perhaps some reading material to help me through this. This is what i've been working towards for so long and i really don't want to fuck this up You'd have to buy that information. Quoting from this page, Commercial Historical Data Higher resolution and more complete datasets are generally not available for free. Below is a list of vendors which have passed our quality screening (in total, we screened over a dozen vendors). To qualify, the vendor must aggregate data from all US national/regional exchanges as only complete datasets are suitable for research use. The last point is especially important as there are many vendors who just get data from a couple sources and is missing important information such as dark pool trades. They offer some alternatives for free data: Daily Resolution Data 1) Yahoo! Finance– Daily resolution data, with split/dividend adjustments can be downloaded from here. The download procedure can be automated using this tool. Note, Yahoo quite frequently has errors in its database and does not contain data for delisted symbols. 2) QuantQuote Free Data– QuantQuote offers free daily resolution data for the S&P500 at this web page under the Free Data tab. The data accounts for symbol changes, splits, and dividends, and is largely free of the errors found in the Yahoo data. Note, only 500 symbols are available unlike Yahoo which provides all listed symbols. And they list recommendations about who to buy the data from. I use Yahoo Finance to plot my portfolio value over time. Yahoo Finance uses SigFig to link accounts (I've linked to Fidelity), which then allows you to see you exact portfolio and see a plot of its historical value. I'm not sure what other websites SigFig will allow you to sync with, but it is worth a try. Here is what the plot I have looks like, although this is slightly out of date, but still gives you an idea of what to expect. I was going to comment above, but I must have 50 reputation to comment. This is a question that vexes me, and I've given it some thought in the past. Morningstar is a good choice for simple, well-organized financial histories.   It has more info available for free than some may realize.  Enter the ticker symbol, and then click either the Financials or the Key Ratios tab, and you will get 5-10 years of some key financial stats.  (A premium subscription is $185 per year, which is not too outrageous.) The American Association of Individual Investors (AAII) provides some good histories, and a screener, for a $29 annual fee. Zacks allows you to chart a metric like EPS going back a long ways, and so you can then click the chart in order to get the specific number.  That is certainly easier than sorting through financial reports from the SEC.  (A message just popped up to say that I'm not allowed to provide more than 2 links, so my contribution to this topic will end here.  You can do a search to find the Zacks website.  I love StackExchange and usually consult it for coding advice.  It just happens to be an odd coincidence that this is my first answer.  I might even have added that aside in a comment, but again, I can't comment as of yet.) It's problem, however, that the universe of free financial information is a graveyard of good resources that no longer exist.  It seems that eventually everyone who provides this information wants to cash in on it.  littleadv, above, says that someone should be paid to organize all this information. However, think that some basic financial information, organized like normal data (and, hey, this is not rocket science, but Excel 101) should be readily available for free.  Maybe this is a project that needs to happen.  With a mission statement of not selling people out later on. The closest thing out there may be Quandl (can't link; do a search), which provides a lot of charts for free, and provides a beautiful and flexible API.  But its core US fundamental data, provided by Sharadar, costs $150 per quarter.  So, not even a basic EPS chart is available there for free. With all of the power that corporations have over our society, I think they could be tabulating this information for us, rather than providing it to us in a data-dumb format that is the equivalent of printing a SQL database as a PDF!  A company that is worth hundreds of billions on the stock market, and it can't be bothered to provide us with a basic Excel chart that summarizes its own historical earnings?  Or, with all that the government does to try to help us understand all of these investments, they cannot simply tabulate some basic financial information for us? This stuff matters a great deal to our lives, and I think that much of it could and should be available, for free, to all of us, rather than mainly to financial professionals and those creating glossy annual reports. So, I disagree that yet another entity needs to be making money off providing the BASIC transparency about something as simple as historical earnings. Thank you for indulging that tangent.  I know that SE prides itself on focused answers.  A wonderful resource that I greatly appreciate. Mostly some custom work i've done myself, bayesian and time series models, but there is some pattern matching. Most TA functions such as MA's, MACD's, BollingerBands, are simple ways of doing time series analysis.  MA's are basic filters.  MACD is essentially a way of viewing acceleration, as its the informational difference between filters.  BB's are mean reverters based on standard deviation/  RSI is a ratio of filtered up to down moves basically generating an indicator based on how strong the market has moved.