Editor: Genetic Algorithms - Fuzzy Logic - Chaos scans for oversold and overbought conditions in Normal -Sideways - Volatile - Markets
I first developed the ATS-3200 for myself, therefore both systems were designed for the benefit of traders. The systems trade only 4 to 6 times per year on average. This helps to keep trading costs low, and at the same time generate substantial profits per average trade.
These are long term trading systems, using Genetic Algorithms, Fuzzy Logic and Chaos. The ATS-3200 trades T-Bonds(US) and the ATS-6400 trades T-Notes(TY). Both read weekly price data to reduce noise, and use adaptive filters to stay with the trend and eliminate whipsaw losing trades for maximum profits.
The systems use genetic algorithms to Detect an over bought or an over sold market. This enables the systems to go short near market tops and long near market bottoms with an almost 80% accuracy.
Each Algorithm tracks one main indicator, but only generates a "BUY" near a market bottom, or a "SELL" near a market top, if the trade can be verified by other indicators for more accurate trading signals.
The adaptive algorithms are grouped together into two neural networks. The "X" network scans the market for over bought market conditions, and the "L" network scans the market for over sold market conditions.
Built into the systems are a number of functions to control risk, limit drawdowns and reduce the number of losing trades.
Using a combination of pattern recognition and adaptive indicators the Systems are able to quantify market activity and PinPoint over bought and over sold conditions that offer excellent trading opportunities with long term potential for substantial profits, while reducing risk and limiting drawdowns.
