Comparing option data between yahoo finance and CBOE for SPY options
The CBOE site, as well as some other sites and trading platforms, will show the bid/ask and statistics for that option at each individual options exchange, in addition to statistics and the best bid/offer across all exchanges. cboe.com: Delayed Quote Help lists what the single-letter codes mean. A is for the AMEX options exchange, B is for BOX, X is for PHLX, etc.
"First, to mention one thing - better analysis calls for analyzing a range of outcomes, not just one; assigning a probability on each, and comparing the expected values. Then moderating the choice based on risk tolerance. But now, just look at the outcome or scenario of 3% and time frame of 2 days. Let's assume your investable capital is exactly $1000 (multiply everything by 5 for $5,000, etc.). A. Buy stock: the value goes to 103; your investment goes to $1030; net return is $30, minus let's say $20 commission (you should compare these between brokers; I use one that charges 9.99 plus a trivial government fee). B. Buy an call option at 100 for $0.40 per share, with an expiration 30 days away (December 23). This is a more complicated. To evaluate this, you need to estimate the movement of the value of a 100 call, $0 in and out of the money, 30 days remaining, to the value of a 100 call, $3 in the money, 28 days remaining. That movement will vary based on the volatility of the underlying stock, an advanced topic; but there are techniques to estimate that, which become simple to use after you get the hang of it. At any rate, let's say that the expected movement of the option price in this scenario is from $0.40 to $3.20. Since you bought 2500 share options for $1000, the gain would be 2500 times 2.8 = 7000. C. Buy an call option at 102 for $0.125 per share, with an expiration 30 days away (December 23). To evaluate this, you need to estimate the movement of the value of a 102 call, $2 out of the money, 30 days remaining, to the value of a 102 call, $1 in the money, 28 days remaining. That movement will vary based on the volatility of the underlying stock, an advanced topic; but there are techniques to estimate that, which become simple to use after you get the hang of it. At any rate, let's say that the expected movement of the option price in this scenario is from $0.125 to $ 1.50. Since you bought 8000 share options for $1000, the gain would be 8000 times 1.375 = 11000. D. Same thing but starting with a 98 call. E. Same thing but starting with a 101 call expiring 60 days out. F., ... Etc. - other option choices. Again, getting the numbers right for the above is an advanced topic, one reason why brokerages warn you that options are risky (if you do your math wrong, you can lose. Even doing that math right, with a bad outcome, loses). Anyway you need to ""score"" as many options as needed to find the optimal point. But back to the first paragraph, you should then run the whole analysis on a 2% gain. Or 5%. Or 5% in 4 days instead of 2 days. Do as many as are fruitful. Assess likelihoods. Then pull the trigger and buy it. Try these techniques in simulation before diving in! Please! One last point, you don't HAVE to understand how to evaluate projected option price movements if you have software that  does that for you. I'll punt on that process, except to mention it. Get the general idea? Edit P.S. I forgot to mention that brokers need love for handling Options too. Check those commission rates in your analysis as well." remember that IV is literally the volatility that would be present to equate to the latest price of a particular option contract, assuming the Black-Scholes-Merton model. Yahoo's free finance service lists the IV for all the options that it tracks. The answer is actually very simple: the cost of data. Seriously. Call the CBOE tomorrow and ask yourself. They have two big programs:  1) the penny pilot program, where options trade at penny increments instead of 5 cent increments. This is only extended to a select few symbols because of the amount of data this can generate is too much for the data vendors. Data vendors store and sell historical data. The exchanges themselves often have a big data vending business too. 2) the weekly options program, where only select symbols get these chains because of the amount of data they will generate. Liquidity and demand are factors in determining if the CBOE will consider enabling those series on new issues. (although they have to give the list of which symbols are on these programs to the SEC) "The SEC regulation on insider trading is ""engage in the purchase and sale of any security on the basis of material non public information"".  The case I remember off the top of my head is Kodak developing an instant photo camera in the 1970s, and about 4 months before Kodak made this knowledge public, the CBOE had to close options trading on Polaroid because they had an excessive buildup of uncovered short positions." There is most likely an error in the WSJ's data.  Yahoo! Finance reports the P/E on the Russell 2000 to be 15 as of 8/31/11 and S&P 500 P/E to be 13 (about the same as WSJ). Good catch, though!  E-mail WSJ, perhaps they will be grateful. /u/NotMyRealFaceBook  As a sniff test, I threw the following assumptions into a Black-Scholes options pricing calculator:  * Stock Price and Strike Price = $200  * Valuation date = 10/31/2017  * Expiration date = 10/29/2027 (European style - no early exercise)  * Volatility = 20% (on the low end for a tech. company - but again see the non-log-normal assumption point above)  * Interest rate = 4% (on the high end - which means the option seller is over-charging you)  * Dividend yield = 0%  The calculator's theoretical call option price results in $82.  Unless the company in question has a materially skewed upside given today's starting valuation, my opinion is the options you are offered are being priced via a Black-Scholes model and are over-priced. I think Infochimps has what you are looking for: NYSE and NASDAQ. Neither site offers index futures or options pricing.  Your best best is likely to get the quote from a broker who supports trading those vehicles. Free sites usually limit themselves to stocks and sometimes to options chains -- the exception is Reuters where just about any security for which you have the reuters formatted trading symbol can be quoted.