Boost C++ Libraries

Algorithmic Trading Algorithmic Trading Algorithmic trading (also known as Black-box trading) - computer-guided trading, where a program with direct market access can monitor the market and order trades when certain conditions are met. As of this writing (2009) probably ~40% of all trades are done this way. The companies run by quants using algorithmic trading produce higher returns than conventional companies.

Front Office, Middle Office and Back Office The front office is literally the bank's interface with the market. The front office coordinates and handles all the needs of the bank and its clients with respect to hedging and financing. Investment, position management trading, arbitrage Front-Office information systems : Electronic listing and trading systems Position-keeping systems often specialised for certain financial instruments (derivatives, fixed-income products, stock markets, etc.) Transverse systems: risk monitoring, liquidity forecasting OpenGL Mathematics GLSL + Optional features = OpenGL Mathematics (GLM) A C++ mathematics library for graphics programming OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionalities than GLSL so that when a programmer knows GLSL, he knows GLM as well which makes it really easy to use. This project isn't limited to GLSL features.

Real Time Market Database by ModulusFE The Real Time Market Data Server by Modulus Financial Engineering The perception of speed is relative to the perspective of the observer. -- Unknown RMD Server Desktop Edition Scenario: You have a Desktop trading application that uses one or more data feeds. You would like to work with just one interface for simplicity, and be able to request secondly, minutely, and daily bars with ease. You need a database system that is easy to setup and maintain, and cost effective.

LINQ Distinct: IEqualityComparer and Func extension method Implementations - Carl's Blog As you may know when working with LINQ there is a method that allows one to return distinct elements from a sequence. Two prototypes are supported: Distinct<TSource>(IEqualityComparer<TSource>)Distinct() Unlike most sequence operations that take some form of a Func parameter, the Distinct() method takes an instance of an IEqualityComparer Type. It is the implementation of this Type that I will be discussing which will hopefully provide some insight into why this approach has been taken. I am going to demonstrate the Distinct() method using the following class definition:

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