Kreslik.com - traders community since 2006

I have bought books on trading and don't care to buy another $50 book. What I am after, at this point, is for someone to describe exactly what historical data I would plug into GA and exactly what I could expect to get back once the optimization is ran.

Maybe I can start with the basics and move on from there.

Let's say I have historical data of: ticker, trade date, open price, high price, close price, and volume. What data would I use as an input to a genetic algorithm and what would I get back? Would this be useful for a buy/sell trigger?

I have been researching genetic optimization and am looking for C# code that can best describe how all this works in relationship to stock market historical data. The problem I have run into while downloading and reviewing the code I have found out there on the internet is this: Either the code ties...

First I created a database of historical stock data that includes: opening price, high price, low price, close price, and trading volume. This would be one record in the database for each trading day. Now I want to automate the process of triggering stock picks to buy by writing software to do this....