Market Trader Forecasting Modeling Course – Yuri Shramenko

Yuri Shramenko – Market Trader Forecasting Modeling Course

You want to learn about Forex?

Foreign exchange, or forex, is the conversion of one country’s currency into another.
In a free economy, a country’s currency is valued according to the laws of supply and demand.
In other words, a currency’s value can be pegged to another country’s currency, such as the U.S. dollar, or even to a basket of currencies.
A country’s currency value may also be set by the country’s government.
However, most countries float their currencies freely against those of other countries, which keeps them in constant fluctuation.

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Market Trader Forecasting

as taught by Yuri Shramenko

These are my best models and trend-change methods, they’ve been back-tested extensively. While its certainly possible to build a better

forecast using one set of data, the point is these models have consistency on their side – year after year they tested favorably.

The “Incidentals” section contains information about what MT offers for the “old school” of Financial Astrologers. It is provided here as a

courtesy. All of the other sections are related to creating state-of-the art forecasting models.

The section titled “Precise Timing” presents very accurate methods for finding turning-points in markets. They help you fine-tune your

trade-entry times when using forecasts.

The we have four forecasting models that predict when markets will make profitable short-term swings. They can also be used to tell you

when markets may congest and trade in a sideways volatile manner.

The CE Phase, BB FAM, and NN models are primarily for large financial markets. If you trade agricultural futures or individual stocks, focus on the Intelligent Optimizer model. This model can (and should!) also be used on financial markets. What’s the difference between the first three and the Intelligent Optimizer? Large Financial markets require a focus on mass psychology, smaller volume markets require more, well, intelligent optimization.

The final page, “Best Practices”, gives a little insight into how I create models, but its main use is to provide a trading framework for these

forecast models.

The forecasting models provided here are ideally suited for Swing Trading, where the average trade length is 2 to 20 days. In no way

should any model presented here be used for a day-trade.

Note:forecasting as used here refers to creating a chart of anticipated price movement. If the question arises “which of these methods is best” the only possible answer is that one should use all of them on each market one trades. There is simply no rational reason any trader could have

for not taking advantage of non-correlated confirmation from other forecasting models.

Please note these forecasting methods require Market Trader (MT) by AIR Software ( www.alphee.com ). All charts produced with Market

Trader Platinum. With the exception of the Neural Net model (“Say NN to Speed”) all methods can be accomplished with MT Gold.

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