English

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

Trading and Market Microstructure 2019-05-03 v2 Computational Finance

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/dtI=dV/dt) and not the share trading volume (VV) that is the driving force of the market, and that asset prices are much more sensitive to the execution flow II (the dynamic impact) than to the traded volume VV (the regular impact). In this paper, an important advancement is achieved: we define the "scalp-price" P{\cal P} as the sum of only those price moves that are relevant to market dynamics; the criterion of relevance is a high II. Thus, only "follow the market" (and not "little bounce") events are included in P{\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.

Keywords

Cite

@article{arxiv.1903.11530,
  title  = {Market Dynamics: On Directional Information Derived From (Time, Execution Price, Shares Traded) Transaction Sequences},
  author = {Vladislav Gennadievich Malyshkin},
  journal= {arXiv preprint arXiv:1903.11530},
  year   = {2019}
}

Comments

Non--local price change as $p^{[IH]}$ change per tick subject to positive $\lambda_I^{[IH]}$ per tick change is added as an important feature. Conditional optimization cleanup