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Liquidity Dependent Price Movement Algorithm

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Liquidity-Dependent Price Movement (LDPM) is a metric designed to directly measure liquidity on a equity in real time, and to translate those measurements into signals to provide insights into where the anticipate price-direction is headed.

Liquidity can be characterized as a way of measuring how smoothly things are running in the market. When things are running smoothly – such as when there is good agreement as to the price of an asset, then things are considered liquid. Conversely, when things are not running smoothly, just as when the bid or the ask do not agree with each other, then things are considered not liquid. These different states have different outcome liklihoods.

In a liquid environment, a stock can trade a lot of shares without moving the price. On the other hand, when a stock is not liquid, even small volumes can move the price substantially.

It is therefore helpful to know when a stock is liquid to the upside or to the downside, or even, when a stock is not liquid to the upside or the downside. These data have statistical associations with future price movement and volatility.

The use of LDPM is straightforward:

  • If the price is above LDPM: bullish outlooks.
  • If the price is below LDPM: bearish outlooks.


There are a few key differences about LDPM as compared to other indicators, namely that timeframe matters. That means, LDPM will tailor its output to the timeframe selected. The advantage of this is that it allows LDPM to be "tailored" to the specific timeframe as desired, without having to do any conversions or adaptations mentally.

Key Settings and Configurations:

Setting - Smoothing Type of LDPM :

Default: KF.

LDPM can be smoothened if desired. There are 5 different types of smoothing available:
  1. EMA : Exponential Smoothing
  2. SMA : Simple Smoothing
  3. WMA : Weighted Smoothing
  4. RMA : Modified Smoothing
  5. KF : Kellman Smoothing


The default is "KF" for Kellman Smoothing.

Setting - Include LDPM-Granular :

Default: Off.

LDPM-Granular is the more "raw" form of LDPM that displays the candle-specific result, rather than the smoothened result. This can be toggled on or off, if desired. LDPM granular is helpful for looking at candle-specific

Setting - Place LDPM Standard :

Default: Off.

An additional, single, LDPM line can be placed via this toggle. Settings for this LDPM can be configured directly below toggle.

Setting - Place LDPM-Fib:

Default: On.

LDPM-Fib is a default setting for displaying 5 LDPMs (LDPM-13, LDPM-21, LDPM-34, LDPM-55, and LDPM-89) whose lookbacks are spaced via the Fib sequence. Useful for those who enjoy a static relationship between the different "layers" of LDPM.

Setting - Place LDPM-Reference:

Default: Off.

Since LDPM is time-interval dependent, there may be times when a higher-order timeframe is desired to act as a reference. For instance, suppose you want to go long if the 1-Hour LDPM experiences a bullish crossover, but you want to scalp shorts on the 15-minute timeframe until then. Then you could place the chart on the 15-minute interval for your scalping, and then place a 1-Hour reference LDPM that will show you when the 1-Hour LDPM and price experience a crossover.

Note: The reference must be a higher-order timeframe. So if your chart is on the 15-minute, you can only reference timeframes greater than 15.

Setting - LDPM Box Creation:

Default: On.

Instead of implementing a reference LDPM, it is possible to display the other timeframes in a data table with conditional coloring for if the overall LDPM-Price relationship is bullish or bearish.


Why Chose LDPM
There are no other Liquidity-measuring indicators available to the retail investor. Measuring liquidity often requires the use of expensive data and high-throughput computing to be used in real-time. Neither of these requirements apply to utilizing LDPM.

Additionally, the data are supportive that LDPM provides statistically significant, price-direction-correct outlooks.
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Hinweise des Autors

For additional information on LDPM and to obtain access, please visit DeepDiveStocks.com for the research and educational material, along with subscription creation. Once done, Email Support@DeepDiveStocks.com your T.V. username for access.

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