STAT

System Description

The worldwide productivity increase has in large part been due to controlling processes through the use of Statistical Process Control (SPC). Now, for the first time, there is a commodity trading system that uses this technique to extract profits from the commodity markets.

The reason many systems that use a similar approach have problems is because they assume commodity prices are "normal". They try to take advantage of the probability characteristics of a normal distribution. They think they will be successful because prices fit a bell shaped curve or normal frequency distribution. The way these systems usually operate is by using a moving average crossover approach. They also usually tack on a couple of standard deviation bollinger bands to try to keep from taking too many false trades.

Bad News! Commodity prices do not form a normal distribution. In many cases the distribution isn’t even close to normal.

Good News! STAT doesn’t care. It uses special techniques to generate a normal probability distribution out of prices. Then STAT uses the well developed SPC concept to take its trades. So STAT comes much closer to being technically correct than most of the other moving average crossover systems.

Trade Station test show the following results (1/83-5/02, trading 1 contract):
Type of System                             SPC & Moving Avg
# Trades/Yr/Commodity              New update number will be available in January 2012 
Avg Profit/Trade                             
Net Profit                                         
% Winning Trades                        
Win/Loss Ratio                            

Equity Curve

Following is a graph of net profits from 1983 to present, trading just 1 contract:

Updated equity curve will be available in January 2012

Individual Performance by commodity
(1/83-1/12, Continuous Contracts trading 1 contract, Trade Station Tests)

New updated performance data will be available in January 2012