Analysing data from last week can shed light on this week for NDX with genetic optimization. Based on vGRE* there was no spike but a dip on Thursday suggests price stability and yet with a potential upside. For the week of 19-Jul-2021 to 23-Jul-2021, there is no breach for vGRE*-CR with no clear signal for a change in price direction; Sig starts with 2 buys followed by 1 sell, 1 buy, and ends with a sell, suggesting an overall buy/hold signal with some caution.
For the week of 19-Jul-2021 to 23-Jul-2021, NDX ended higher at 15,111. The vGRE* was stable…
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For the week of 12-Jul-2021 to 16-Jul-2021, NDX was up for the first 2 days followed by correcting for the last 3. There was no spike in vGRE* but a gradual reduction over the last 3 days, indicating price stability and yet with a potential upside.
DISCLAIMER: The information here is intended for reference and is not an offer to purchase a security. Past performance is no guarantee of future results.
Finamatrix is #1 Risk-Cybernetics for sustainability and now offers to the masses easy access to our risk-tech via the vGRE* optimized indicator for trading NASDAQ-100 (top 100 tech firms) with >US$15 trillion in market value.
The valuation model below has been updated with the latest statistics, superseding previous valuations.
For the week of 6-Jul-2021 to 9-Jul-2021, there was no spike in vGRE* but a gradual reduction over the last four days, indicating price stability and yet with a potential upside.
The first derivative of vGRE* or the Continuous Return (CR) statistic is also reported for 2021 YTD (9-Jul-2021) to serve as a check for the stationarity of the vGRE* statistic. vGRE*-CR should be a stationary or stochastic process with constant variance and a change of variance indicates deviation from the normal and deserves attention for the specific period.
Volume-weighted GR-Estimator for NASDAQ 100 Entry/Exit Points.
Presented here is Risk-Cybernetics applied to the GR-Estimator as a technical indicator for NASDAQ 100 (NDX) which includes trading volume and golden-ratio segments as input parameters, computed with genetic-optimization.
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