For my recent project I am looking to build a software capable of visualizing financial charts in a dynamically and interactive matter. The workflow is as follows: I gather data from my data ...
A few months back, I wrote a program that collects live statistics from various sources. My purpose was try to detect patterns in this data by looking at it several hours a day. After implementing and ...
I think option chains are not represented in the best way. With more and more options products coming out and trading on the various exchanges, I see vendors struggling to keep up with a good way to ...
In Yahoo! Finance, we see the following quotes among others: ...
I believe that most of us will agree that being able to compute values is only part of our job, as we would also like to be able to display them nicely in order to better understand or help ...
If a thinly traded stock has not traded for the last few days (volume=0), is it better to use the last known trade price (i.e. roll over last non-missing trade price) or use last known ...
What are your opinions on WEKA KnowledgeFlow, Rapidminer, and other rapid development environments for machine learning?
Which is the most extensible? Which is the most efficient in terms of a minimal learning curve while providing a meaningful degree of flexibility and performance? Any of these tools really limited ...
What tools exist for order book analysis and visualization? In particular, if one wanted to examine a limit order book and understand how it changes throughout the day where would you turn for ...
The general problem I have is visualization of the implied distribution of returns of a currency pair. I usually use QQplots for historical returns, so for example versus the normal distribution: ...
what would you suggest are the starting points for comparing, in an easy, visual way, implied and delivered volatility surfaces? I'd like to see what the differences are between the historic surfaces, ...
Finance is drowning in a deluge of data. Humans are not very good at comprehending large amounts of data. One way out may be visualization. Traditional ways of visualizing patterns, complexities and ...