An AI Trading Strategy Platform

Fast strategy simulations over large data sets

Dynamic back-testing without pre-programming setup ideas

Artificial intelligence to find trading methods

Simple tools for data collection and storage

Platform for AI strategy discovery Rich feature set for analysis

Week: Adam (x) Mike (y) Valentina (z)

1: Jan 7 Project Idea

2: Jan 14 Presentation, More Specific Specs for each part of Project, Learn C#

3: Jan 21

Coleman (layout)

Randolph, Database Setup

Winthorpe

4: Jan 28 RandolphColeman (layout)

5: Feb 4 Coleman (layout)

February 6th: First Demo Day

6:Feb 11Coleman (graphing)

Randolph (database)Coleman (properties)

7: Feb 18 Randolph (studies)

8: Feb 25 (spring break)

9: Mar 3 Coleman (analysis) Randolph Coleman (graphing)

10: Mar 10 Demo prep

March 15th: Second Demo Day

11: Mar 17Coleman (analysis) Randolph (AI engine) Coleman (analysis)

12: Marc 24

13: Mar 31 Strategy finding

14: Apr 7 Wine tasting

April 11th, Final Demo Day

http://www.dvdbeaver.com/film2/DVDReviews33/trading_places_blu-ray.htm

TD Ameritrade StrategyDesk

TradersStudio

TradingSolutions

Mortimer

Input specific strategies X X X

EOD testing X X X X

Neural networks X X

AI optimization X X

Time frames to <1min bars X X X

Time frames to <5sec bars X

Relative action indication X

Artificial intelligence backtesting Breadth of data, speed Rich analysis

Analyzing more components exponentially increases time

Data integrity and verification Presenting strategies in meaningful

context

Simple, AI-backed strategy searching Market inefficiency is (probably)

exploitable Find these inefficiencies on a high-

frequency level