NDX: vGRE* Week 2-Aug-2021

Volume-weighted GR-Estimator for NASDAQ 100 (NDX).

Finamatrix.NET
2 min readJul 31, 2021

Analyzing data from the previous week can shed light on the coming week for NDX with genetic-optimization. Based on vGRE* there was no spike but a gradual dip over the week suggests price stability and yet with a potential upside. For the week of 26-Jul-2021 to 30-Jul-2021, there is no breach for vGRE*-CR with no clear signal for a change in price direction; 5 buy/hold signals for the previous week suggests an overall buy/hold strategy for the coming week.

NDX: 1-Jan-21 to 30-Jul-21.
  • For the week of 26-Jul-2021 to 30-Jul-2021, NDX ended lower at 14,959.90.
  • The vGRE* was stable with no obvious spike, indicating price stability and yet a gradual dip over the week suggests a potential upside for NDX.
NDX-vGRE* 1-Jan-21 to 30-Jul-21.

The first derivative of vGRE* or the Continuous Return (CR) statistic is also reported for 2021 YTD (30-Jul-2021) to serve as a check for the stationarity of the vGRE* statistic. vGRE*-CR should be a stochastic process with constant variance and a change of variance indicates deviation from the normal and deserves attention for the specific period.

For the week of 26-Jul-2021 to 30-Jul-2021, there is no breach for vGRE*-CR, hence there is no clear signal for a change in price direction (based on historical data of 2021 YTD, a breach of the CR-statistic range of -0.5 to 0.5 signals a change in NDX direction).

NDX-vGRE*-Sig from 28-Jun-2021 to 30-Jul-2021.

In addition, the genetic-optimization of the golden-ratio estimator produces a value-added statistic where we name as Signal (Sig). The signal of 1 (buy/hold) and 0 (sell/short) are reported per trading day. To use it, refer to every trading week which reports 5 signals for Monday to Friday (if there are no public holidays). For the week of 26-Jul-2021 to 30-Jul-2021, every day produced a buy/hold signal suggesting an overall buy/hold signal for the week of 2-Aug-2021. View: Full Database (since 1985).

Finamatrix.AI

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