test

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Test

The event of a price movement that approaches a support level or a resistance level established earlier by the market. A test is passed if prices do not go below the support or resistance level, and the test is failed if prices go on to new lows or highs.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

test

The attempt by a stock price or a stock market average to break through a support level or a resistance level. For example, a stock that has declined to $20 on several occasions without moving lower may be expected to test this support level once again. Failing to fall below $20 one more time would be considered a successful test of the support level and a bullish sign for the stock.
Wall Street Words: An A to Z Guide to Investment Terms for Today's Investor by David L. Scott. Copyright © 2003 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved. All rights reserved.
References in periodicals archive ?
In Table 3, the mean CT (sec) was compared between all the phases of the menstrual cycle using the Friedman's test. CT was at least around ovulatory or mid-cycle, and it increases during secretory phase.
Significance was measured using nonparametric Friedman's test of differences among repeated measures, rendering a [chi square] value of 14.68 which was significant (P<.01).
The SCT values at 3 and 6 months were significantly lower than baseline (Figure 3(a), Friedman's test, P <0.0001; Scheffe's paired comparison test, P = 0.0004, P = 0.0002, resp.).
Moreover, Figure 2 shows that MDE performs the first average ranking value and L-SHADE obtains the second average ranking values on the 30-dimensional problems by Friedman's test.
T P Ordinal by ordinal Gamma 0.751 0.033 19.468 0.001 Table 9: Qualitative data wise score analysis from 2nd week to 12 th week follow up by using "Friedman's test" Paired Differences Follow up Mean Std.
In Table3, the ranking of each of the media's role in the development of public sport by using of Friedman's test, average rank gained of the responses are presented respectively.
The Friedman's Test (Friedman 1937, 1939) checks for the validity of the null hypothesis.
Friedman's test was used to determine the relationship among quantitative parameters.
The non-parametric test applied was Friedman's test to see the significance.
The Frees' test and the Friedman's test support the presence of cross-sectional dependence in the panel data (Table 3, Hall-Roeger model, Eq.
The non-parametric Friedman's test (two-way analysis of variance test) was conducted on the data to compare between the EF index for India and China.