In recent years we have been messing around with some new concepts that we made available to the trading community not so long ago. These include the R‑Vals, the concept of “active” placement of indicators, new market metrics derived from the “Pipes†and other new indicators, and some other tools derived from the massive database “engine” we built.
In dong this we have made the full range of Drummond Geometry classic and new concept values available for use in trading systems or research projects in TradeStation or other platforms.
Relative values chart the relationships between price values and market structure, and contribute mightily to the unique flexibility and power of this methodology. These relationships are very helpful because they release market structure from the need to be expressed in price. The trader or analyst can now manipulate expressions of structure and visualize various structural conditions that can be applied across different time-frames and different markets.
Price can be thus expressed as a function of structure instead of structure being expressed as a function of price.
By creating expressions that are a function of structure as opposed to price, we have taken the first step towards escaping the “slavery of data†that has captured technical analysis. If one cannot avoid the effect of a bad tick, then the validity of any technical indicator is called into question and the feasibility of trade automation is severely restricted. Learning how to deal with structure as opposed to price is a first step in this direction. Structural elements are not immune from data corruption, but they react more slowly than pure price data and hence are less susceptible to distortion caused by a single bad tick.
And here’s a thought: what if the lowest-time-period fluctuation is nothing more than a special variant of bad tick?
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