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Market Dynamics: On Directional Information Derived From (Time, Execution Price, Shares Traded) Transaction Sequences

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  • Vladislav Gennadievich Malyshkin

Abstract

A new approach to obtaining market--directional information, based on a non-stationary solution to the dynamic equation "future price tends to the value that maximizes the number of shares traded per unit time" [1] is presented. In our previous work[2], we established that it is the share execution flow ($I=dV/dt$) and not the share trading volume ($V$) that is the driving force of the market, and that asset prices are much more sensitive to the execution flow $I$ (the dynamic impact) than to the traded volume $V$ (the regular impact). In this paper, an important advancement is achieved: we define the "scalp-price" ${\cal P}$ as the sum of only those price moves that are relevant to market dynamics; the criterion of relevance is a high $I$. Thus, only "follow the market" (and not "little bounce") events are included in ${\cal P}$. Changes in the scalp-price defined this way indicate a market trend change - not a bear market rally or a bull market sell-off; the approach can be further extended to non-local price change. The software calculating the scalp--price given market observations triples (time, execution price, shares traded) is available from the authors.

Suggested Citation

  • Vladislav Gennadievich Malyshkin, 2019. "Market Dynamics: On Directional Information Derived From (Time, Execution Price, Shares Traded) Transaction Sequences," Papers 1903.11530, arXiv.org, revised May 2019.
  • Handle: RePEc:arx:papers:1903.11530
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    File URL: http://arxiv.org/pdf/1903.11530
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    Cited by:

    1. Linda Boudjemila & Alexander Bobyl & Vadim Davydov & Vladislav Malyshkin, 2022. "On a Moving Average with Internal Degrees of Freedom," Papers 2211.14075, arXiv.org.

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