Hi all, 
My name is Chase Relock
I'm current a senior in mathematics at UC Berkeley and have experience 
programming python primarily. I've done two classes in pure group theory 
and have a lot of resources at my disposal on group theory that make it a 
viable choice for me. I've also done a high level ODE theory course which 
I've retained a lot of material from and could contribute. Ideally though I 
might be interested in implementing some statistical finance module. A 
built in black-scholes model and the calculation of implied volatility 
(Often something goal-seeked in excel) could be a place to start. I have 
also developed some interesting results from this question I initially 
asked on Quant StackExchange 
HERE<http://quant.stackexchange.com/questions/10407/algorithmical-repilcation-of-a-profit-and-loss-function-using-different-options>
 that 
allow for a very nice symbolic construction of a portfolio from a given 
payoff function that is more elegant than the solution proposed in the 
linked PDF. It would actually go hand-in-hand with a symbolic matrix 
library. This is a topic I will also most likely be writing a small paper 
about as I find that there is an interesting argument to be made about 
finding a minimum collection of options that generate a portfolio. 
Stochastic finance also very quickly leads to the usefulness of a 
stochastic process module. Please let me know if anything here would 
actually be of interest, as I'd be very excited to implement some of these 
ideas.

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