Yuri Shramenko
Independent Trader

Yuri Shramenko has been a full-time trader since 1989, after working as a software developer consultant. With no formal training other than reading books in the late 80s and early 90s, his trading style is a combination of Fibonacci systems and his own personal systems. One of the books he recommends for those wanting to gain a better perspective of market behavior is "The New Fibonacci Trader: Tools and Strategies for Trading Success" by Robert Fischer and Jens Fischer.

Mr. Shramenko started out using TradingSolutions End-Of-Day in early 2002 and upgraded to the Real-Time level when it was released. He uses TradingSolutions to swing-trade the QQQ single-stock futures contract, and day-trade the Dow-Mini and the S&P-Mini futures contracts. His performance numbers are nothing short of spectacular. He has had an average return of 80% to 120% per month for 2003. About 60% of his trades were winners, which may not sound overly impressive, until you realize that his average winner was 4 times larger than his average loser.

How is Mr. Shramenko able to achieve these remarkable returns? His intraday system for a particular futures contract is based on a pair of TradingSolutions’ neural network models – a long-periodicity model (usually 30-minute bars) and a short-periodicity model (either 2 or 5-minute bars based on the average trading range of the 5 minute bars – when the market has a wide range he uses the 5 minute model). The long-periodicity model is used for trend analysis and the short-periodicity model is used for decision making. This is consistent with a basic premise of technical analysis, that of trading in the direction of the next larger timeframe, using the shorter timeframe to specify entry.

Both neural network models are configured to predict the closing price one bar into the future. The parameters of the neural networks are generally left at the defaults provided by TradingSolutions. A sometimes overlooked feature of TradingSolutions is used, that of using other markets or indexes as training inputs. Neural networks excel at finding relationships between correlated non-linear data streams. A recommendation Yuri makes to all TradingSolutions users is to not just be concerned with what technical indicators they use as inputs, but to see if other markets and indexes may indicate coming trends in the market they trade. The inputs for the long-periodicity model include:

• Percent change in close
• Advancing Issues - Declining Issues (eSignal Symbol: $ISSU)
• Advancing Volume - Declining Volume (eSignal Symbol: $VOLD)
• Formula: Moving Average (Close,5) - Moving Average (Open,5)

Testimonials disclosure: Unique experiences and past performances do not guarantee future results! Testimonials herein are unsolicited and are non-representative of all clients; certain accounts may have worse performance than that indicated. Trading spot currencies involves substantial risk and there is always the potential for loss. Your trading results may vary. Because the risk factor is high in the foreign exchange market trading, only genuine "risk" funds should be used in such trading. If you do not have the extra capital that you can afford to lose, you should not trade in the foreign exchange market. No "safe" trading system has ever been devised, and no one can guarantee profits or freedom from loss.