Texas A & M University-College Station
Overview of quantitative investing using algorithmic trading for investment management; topics include exploration of collecting and preparing financial trading data, time series analysis, trend systems, momentum and mean reversal, arbitrage, backtesting, order execution, and reporting of risk and performance measures; tools, methods, and trading techniques are taught using the R programming language and using R Studio.
3 credits
FINC 437
Prerequisites, corequisites, and courses that build on this one
Complete these courses before enrolling