How can I remove the movement of the stock market as a whole from the movement in price of an individual share?
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. 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. I use StockCharts for spread charting. To take your question as an example, here is the chart of Apple against Nasdaq. You run the regression R_{i,t} = a + bR_{m,t} + e_t, then a + e_t is the variation that isn't shared with the market's variation.
SEC Form 3 and SEC Form 4 are filed when insiders make share/derivatives acquisitions, transfers, sells and buys There is a time limit AFTER the action where they can be filed, such as 12 business days, so this can be a substantial amount of time after the effect on the market, depending on your strategy. You can aggregate these forms from SEC sources or from third party websites and services. In some cases, types of insider trading are permissible at certain intervals, so if you learn about when certain shares become unlocked, you can try to predict what insider actions will be and share price movements around those times. "&gt;Please study the history of the labor movement in the United States. There's a reason we're paid actual money and not ""company bucks."" Because businesses WILL find a way to pay employees nothing if they can.  Nonsense.  Businesses must compete for labor.  They will pay the market wage.  &gt;No. I want to ensure that the price paid for labor matches its real cost. Again, study the labor movement.  The price for labor is set by the supply and demand for labor.  That's it.  It's real ""cost"" whatever that means, is irrelevant.  And it's certainly not set by government mandate.  &gt;Sounds like the same fucking thing people (racists) said during the labor movement.  I'm confused what you're saying.  Minimum wage laws are racist, as they overwhelmingly target minorities for job losses.  Let's focus on your policies, not those in the past.  &gt;People who don't study history are doomed to repeat it. Seriously, fuck you and your complete and total ignorance of history and complete lack of understanding about basic economic theory.  Seriously, fuck you and your complete and total ignorance of the billions of people lifted out of poverty over the last 100 years of countries adopting capitalistic policies.  How many hundreds of millions of people need to be slaughtered by communist dictators before you abandon your racist and misguided economic policies?" "As already noted, options contain inherent leverage (a multiplier on the profit or loss). The amount of ""leverage"" is dictated primarily by both the options strike relative to the current share price and the time remaining to expiration. Options are a far more difficult investment than stocks because they require that you are right on both the direction and the timing of the future price movement. With a stock, you could choose to buy and hold forever (Buffett style), and even if you are wrong for 5 years, your unrealized losses can suddenly become realized profits if the shares finally start to rise 6 years later. But with options, the profits and losses become very final very quickly. As a professional options trader, the single best piece of advice I can give to investors dabbling in options for the first time is to only purchase significantly ITM (in-the-money) options, for both calls and puts. Do a web search on ""in-the-money options"" to see what calls or puts qualify.  With ITM options, the leverage is still noticeably better than buying/selling the shares outright, but you have a much less chance of losing all your premium. Also, by being fairly deep in-the-money, you reduce the constant bleed in value as you wait for the expected move to happen (the market moves sideways more than people usually expect). Fairly- to deeply-ITM options are the ones that options market-makers like least to trade in, because they offer neither large nor ""easy"" premiums. And options market-makers make their living by selling options to retail investors and other people that want them like you, so connect the dots. By trading only ITM options until you become quite experienced, you are minimizing your chances of being the average sucker (all else equal). Some amateur options investors believe that similar benefits could be obtained by purchasing long-expiration options (like LEAPS for 1+ years) that are not ITM (like ATM or OTM options). The problem here is that your significant time value is bleeding away slowly every day you wait.  With an ITM option, your intrinsic value is not bleeding out at all. Only the relatively smaller time value of the option is at risk. Thus my recommendation to initially deal only in fairly- to deeply-ITM options with expirations of 1-4 months out, depending on how daring you wish to be with your move timing." "Certain brokers allow for hidden orders to be placed in the market. It is as simple as that. Refer to Interactive Brokers as one example. If you press on the "" i "" next to ""Hidden"" you will get the following description.  Some brokers may represent the hidden orders by an * next to the price level. Sometimes large orders are place as these hidden orders to avoid large movements in the stock price (especially if the stock is illiquid as per your observation)." There is no formula for calculating a stock price based on the financials of a company. A stock price is set by the market and always has a component built into it that is based on something outside of the current valuation of a company using its financials. Essentially, the stock price of a company per share is whatever the best price it can get on the open market. If you are looking at how to evaluate if a stock is a good value at the current price, then look at some of the answers, but I wanted to answer this based on the way you phrased the question. "That amount of shares is too low to create ""ripples"" in the market. Usually you don't specify the price to sell the stock, unless you are personally on the floor trading the securities. And even then, with a volume of $50,000 it would just mean you threw away $45,000. For most people it would mean setting a $5 sell order, and the broker would understand that as ""sell this security so long the price is above $5"". When you get to the trading volume required to influence the price, usually you are also bound by some regulations banning some moves. One of them is the Pump and Dump, and even if you are suggesting the opposite, it might be in preparation of this scam. Also, the software used for High Frequency Trading (what all the cool kids[a] in Wall Street are using these days) employ advanced (and proprietary) heuristics to analyze the market and make thousands of trades in a short interval of time. On HTF's speed: Decisions happen in milliseconds, and this could result in big market moves without reason.  So a human trader attempting to manipulate the market versus these HTF setups, would be like a kid in a tricile attempting to outrun the Flash (DC comics). [a] Cool Kid: not really kids, more like suited up sharks. Money-eating sharks." My shocking suggestion would be to not bandwagon onto knee jerk first idea that popped into the op's head actions. Instead... Why not put the most knowlageable people on the issue, give them time to make a proposal. I am thinking quants and the folks that know the issues inside and out.   Drives me up a wall that we have phds serving coffee and we still try and fix complex issues by racing to blurt out the first and loudest brainfart.   Anyway, my brainfart might be not a tax. A randomized  time delay based on typical trade execution might work. Small enough to be unnoticed by distant traders but enough to level the playing field.   But again I would rather the answer didnt come from idiots such as myself and the op. I think the exchanges have some motivation to adress the issues. I hope they put the smartest folks available on it At any given time there are buy orders and there are sell orders.  Typically there is a little bit of space between the lowest sell order and the highest buy order, this is known as the bid/ask spread.  As an example say person A will sell for $10.10 but person B will only buy at $10.00.  If you have a billion shares outstanding just the space between the bid and ask prices represents $100,000,000 of market cap. Now imagine that the CEO is in the news related to some embezzlement investigation.  A number of buyers cancel their orders.  Now the highest buy order is $7.  There isn't money involved, that's just the highest offer to buy at the time; but that's a drop from $10 to $7.  That's a change in market cap of $3,000,000,000.  Some seller thinks the stock will continue to fall, and some buyer thinks the stock has reached a fair enterprise value at $7 billion ($7 per share).  Whether or not the seller lost money depends on where the seller bought the stock.  Maybe they bought when it was an IPO for $1.  Even at $7 they made $6 per share. Value is changing, not money.  Though it would be fun, there's no money bonfire at the NYSE.