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You kind of answered the question yourself. Precisely because different market participants use different inputs to their pricing models, it is much easier to quote one single input (implied vols) than the output of 5 different inputs (BS option price). What is important is that you clearly differentiate between quoting and agreeing on the trade vs. the ...


With respect to what you need, you have to consider different aspects of optimal trading: the Almgren-Chriss framework (cited by Anna, since Jim and Alex -amongst others- extended it) focus on obtaining an optimal trading rate, it is nice but not really what you need. You can nevertheless use it to plan / schedule your trading during the day. but what you ...


This is an example of minimum price variation (also known as the minimum price increment or the minimum price fluctuation). All public quotes for US equities are displayed to the nearest penny. (Hidden quotes may be entered at sub-penny increments.) US stock indices follow this convention and thus quote to the nearest penny. The oil listing is odd indeed. ...


Your confusion is certainly coming from a distinction between Price and Yield. 1 - You're definitely right in regards to Bond Price as 99 1/8 = 99.125. Likewise 99 1/32 = 99.0313 (assuming 100 PAR). It's worth highlighting on the fact that this convention is only applicable to US bond prices, as far as I am concerned. 2 - By contrast, Bond Yield is the ...


+1 for "feeling like the data is out there to be parsed for free". lol If data is just for toys, do: They offer (free) tick data for May 6 2010 (flash crash). Scrape google. This question: Free intra-day equity data source


Supply and demand... If you want an event that produce a change in the value of a currency, just look at the ruble. As Russia, gets more and more isolated and inflation spins out of control the ruble lose its value against other currencies.


R is very useful for downloading data from Yahoo/Google . Here is an example for downloading from Google Finance : library(quantmod) getSymbols("DRRX;AAPL;AMZN", from="2014-01-01", to="2014-11-20", src='google') Just adjust the from and to dates as needed. This will download the OHLCV data from google finance to your R global environment.


They are both just partial reflections (not including the order book) of the real process that happens in exchange. If you want to answer the question yourself, it's essential to learn how Exchange's Matching Engines work. The real underlying information is what enters into the matching engine (what traders send to it). For the sake of simplicity, there are ...


These are two separate and distinct pieces of data. The relative "advantage" or "disadvantage" of one over another is entirely up to you and your model, not some rule of thumb. Each data set provides "one half", if you will, of the view of the market. Quotes tell you what passive participants are willing to do. They are, in effect, an indication of interest ...

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