How do I read technicals for tickers that move together but are slightly different?
"Following comments to your question here, you posted a separate question about why SPY, SPX, and the options contract don't move perfectly together.  That's here Why don't SPY, SPX, and the e-mini s&p 500 track perfectly with each other? I provided an answer to that question and will build on it to answer what I think you're asking on this question.  Specifically, I explained what it means that these are ""all based on the S&P.""  Each is a different entity, and different market forces keep them aligned.  I think talking about ""technicals"" on options contracts is going to be too confusing since they are really a very different beast based on forward pricing models, so, for this question, I'll focus on only SPY and SPX. As in my other answer, it's only through specific market forces (the creation / redemption mechanism that I described in my other answer), that they track at all.  There's nothing automatic about this and it has nothing to do with some issuer of SPY actually holding stock in the companies that comprise the SPX index. (That's not to say that the company does or doesn't hold, just that this doesn't drive the prices.)  What ever technical signals you're tracking, will reflect all of the market forces at play.  For SPX (the index), that means some aggregate behavior of the component companies, computed in a ""mathematically pure"" way.  For SPY (the ETF), that means (a) the behavior of SPX and (b) the behavior of the ETF as it trades on the market, and (c) the action of the authorized participants.  These are simply different things. Which one is ""right""?  That depends on what you want to do.  In theory you might be able to do some analysis of technical signals on SPY and SPX and, for example, use that to make money on the way that they fail to track each other.  If you figure out how to do that, though, don't post it here.  Send it to me directly. :)"
Moving Average is mere average line based on historical period; broadly use to view the trend. But it has no relation to price action in due future course. If price is going below 20 SMA then in near future even the SMA will start directing toward south. In your case if price has fallen below all the short period average lines and long period average line then it is bearish in nature. Soon in few days you may find 20 SMA leading downwards followed by closest period and then long. Also SMA and EMA can best be observed in charting software in candlestick mode. Because these moving averages can also be adjusted and viewed based on Opening price, High prices, Low Price or closing price. In you case I guess the data is of closing price data. Overlapping of averages may be sign of reversals. So if you want to buy this stock you may have to wait till all the average lines cross-over and when new trend begins with SMA of shortest avg period (20) leading above the long avg period (90 days in your case). Then you can buy and just follow the trend. I hope it answers you question. "Just to be clear to start, beta is a statistical property.  So if your beta is 0.8 over a period of time.  Stock X moved on average 0.8 for a point move in the index. We might hope this property is persistent and it seems to be fairly persistent (predictable) but it doesn't have to be. Also it is important to note this is not a lag in time.  Beta is a measure of the average size of a move in the stock at the same time as a move in the index.  In your example both the stock and index are measured at end of day.  You can say that the stock ""lags"" behind the index because it doesn't grow as quickly as the market when the market is growing, but this is not a lag in time just a lag in magnitude.   People do occasionally calculate betas between a stock and lagged in time market prices, but this is not the commonly used meaning of beta.  This might actually be a more useful measure as then you could bet on the future of the stock given what happened today in the market, but these ""betas"" tend to be much more unstable than the synchronized version and hard to trade on. When you calculated beta you choose a time scale, in this case daily.  So if your calculation is on a day-to-day basis then you have only tested the relationship on a day-to-day basis not, for instance, on a week-to-week basis.  Now day-to-day and week-to-week betas are often related and are generally reasonably close but they do not have to be.  There can be longer term effects only picked up on the longer scale.   Stock X could day-to-day with a (average) beta of 1 to the stock market, but could have even a negative beta year-to-year with the market if the stock is counter-cyclical to longer scale trends on the market.  So beta can change with the time scale used in the calculation." "The ""random walk"" that you describe reflects the nature of the information flow about the value of a stock.  If the flow is just little bits of relatively unimportant information (including information about the broader market and the investor pool), you will get small and seemingly random moves, which may look like a meander.  If an important bit of information comes out, like a merger, you will see a large and immediate move, which may not look as random. However, the idea that small moves are a meander of search and discovery and large moves are immediate agreements is incorrect.  Both small moves and large moves are instantaneous agreements about the value of a stock in the form of a demand/supply equilibrium.  As a rule, neither is predictable from the point of view of a single investor, but they are not actually random.  They look different from each other only because of the size of the movement, not because of an underlying difference in how the consensus price is reached." The portion of a stock movement not correlated with stocks in general is called Alpha. I don't know of any online tools to graph alpha. Keep in mind that a company like Apple is so huge right now that any properly weighted index will have to correlate with it to some degree. Well that will depend on the time frame you are looking at it. You can't compare the RSI on a five minute chart to the RSI on a daily chart. The minute chart would represent the momentum of very small trends whilst the daily chart would represent the momentum of much larger trends. On the daily chart the shares might be experiencing a strong uptrend with a rising RSI. During each day the price might move up at the open then come down some, then back up a bit more and repeat this several times during the day before closing higher. During the day the RSI might have moved slightly higher.  But during a single day on the 5 minute chart the price may have gone through several up and down trends, with the RSI going into oversold and overbought several times. What you should be looking at to strengthen the signal from the RSI is to watch for when the RSI is in the overbought at the same time the price is reaching a peak, or when the RSI is in the oversold at the same time the price is reaching a trout. These could represent potential turning points in price. The time frame to use would depend on the type of trading you are attempting to undertake. If you prefer day trading (being in and out of a trade in minutes to hours) you might look at time frames of minutes to hours. If you prefer longer term position, trend or swing trading you would probably stick to daily charts. If you prefer longer term active investing you might stick to a combination of daily, weekly and monthly charts. No, it is just normal sideways action.  Think of this week kind of like October 14th - October 20th. It is a day traders week. If you're not day trading then either do after hours trading at the second of the news, or buy/sell on thursday (i'm bullish).  This is normal market activity. I wouldn't consider it out of the ordinary. When there is sideways action there is always good times to both buy and sell, if you realize it. For example, today is the perfect day to buy ... maybe when $SPX is 1240-1244. In practice momentum and trend following are two different ideas, albeit similar and often ocurr simultaneously.  I don’t know if the book makes a clear disctinction between the two but keep this in mind:  1) Momentum trading is a trade where prices are increasing/decreasing and an increasing rate usually confirmed by heavy volume.  Like you said, this can often be at the top of a bubble or nearing a bottom of a crash but not necessarily.  It may also occur when trend trading is violated (switching directions or a new trend emerging)  2) Trend following is a trade where one could draw a disctinct linear line in a chart (up or down at some angle).  Being able to draw a line into the future would be your projected ‘trend’ target.  You could buy now and say “the trend is up, in 365 days the S&amp;P 500 will trade at 2,based on the trend we’ve seen in the past year The closest I can think of from the back of my head is http://finviz.com/map.ashx, which display a nice map and allows for different intervals. It has different scopes (S&P500, ETFs, World), but does not allow for specific date ranges, though. I work on a buy-side firm, so I know how these small data issues can drive us crazy. Hope my answer below can help you:  Reason for price difference: 1. Vendor and data source Basically, data providers such as Google and Yahoo redistribute EOD data by aggregating data from their vendors. Although the raw data is taken from the same exchanges, different vendors tend to collect them through different trading platforms. For example, Yahoo, is getting stock data from Hemscott (which was acquired by Morningstar), which is not the most accurate source of EOD stocks. Google gets data from Deutsche Börse.  To make the process more complicated, each vendor can choose to get EOD data from another EOD data provider or the exchange itself, or they can produce their own open, high, low, close and volume from the actual trade tick-data, and these data may come from any exchanges.  2. Price Adjustment  For equities data, the re-distributor usually adjusts the raw data by applying certain customized procedures. This includes adjustment for corporate actions, such as dividends and splits. For futures data, rolling is required, and back-ward and for-warding rolling can be chosen. Different adjustment methods can lead to different price display.  3. Extended trading hours  Along with the growth of electronic trading, many market tends to trade during extended hours, such as pre-open and post-close trading periods. Futures and FX markets even trade around the clock. This leads to another freedom in price reporting: whether to include the price movement during the extended trading hours.   Conclusion To cross-verify the true price, we should always check the price from the Exchange where the asset is actually traded. Given the convenience of getting EOD data nowadays, this task should be easy to achieve.  In fact, for professional traders and investors alike, they will never reply price on free providers such as Yahoo and Google, they will most likely choose Bloomberg, Reuters, etc. However, for personal use, Yahoo and Google should both be good choices, and the difference is small enough to ignore. "At the bottom of Yahoo! Finance's S & P 500 quote Quotes are real-time for NASDAQ, NYSE, and NYSE MKT. See also delay   times for other exchanges. All information provided ""as is"" for   informational purposes only, not intended for trading purposes or   advice. Neither Yahoo! nor any of independent providers is liable for   any informational errors, incompleteness, or delays, or for any   actions taken in reliance on information contained herein. By   accessing the Yahoo! site, you agree not to redistribute the   information found therein. Fundamental company data provided by Capital IQ. Historical chart data   and daily updates provided by Commodity Systems, Inc. (CSI).   International historical chart data, daily updates, fund summary, fund   performance, dividend data and Morningstar Index data provided by   Morningstar, Inc. Orderbook quotes are provided by BATS Exchange. US   Financials data provided by Edgar Online and all other Financials   provided by Capital IQ. International historical chart data, daily   updates, fundAnalyst estimates data provided by Thomson Financial   Network. All data povided by Thomson Financial Network is based solely   upon research information provided by third party analysts. Yahoo! has   not reviewed, and in no way endorses the validity of such data. Yahoo!   and ThomsonFN shall not be liable for any actions taken in reliance   thereon. Thus, yes there is a DB being accessed that there is likely an agreement between Yahoo! and the providers." 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 "I think that pattern is impossible, since the attempt to apply the second half would seem to prevent executing the first. Could you rewrite that as ""After the stock rises to $X, start watching for a drop of $Y from peak price; if/when that happens, sell."" Or does that not do what you want? (I'm not going to comment on whether the proposed programmed trading makes sense. Trying to manage things at this level of detail has always struck me as glorified guesswork.)" Bollinger Bands are placed standard deviations away from the moving average. Therefore if the price is volatile, the bands diverge from the mean. During consolidation the bands would converge. They do not provide a clear indication of whether the price is trending or not. "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." Ya, that's a lot of data - especially considering your relative lack of experience and the likely fact that you have no idea what to do with what you're given.  How do you even know you need minute or tick-based bid-ask data?    You can get a lot more than OHLC/V/Split/Dividend.  You can get:  * Book Value; * Dividend information (Amount, yield, ex date, pay date); * EBITDA; * EPS (current AND estimates); * Price/sales ratio; * Price/book value; * Price/earnings ratio; * PEG ratio; * Short ratio; * Market cap.  Among other things, all for free.