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ucsgears
2119 views
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Hey All, This is an indicator I was developing over the last year. Over some extreme testing and good test results. I am confident to add this to the pool of my indicators. Yes, this is a protected script. Contains some intensive research.... and every value here is manipulated to fit a general context. Therefore, treat this just like any of my indicator. If...

289

RicardoSantos
905 views
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EXPERIMENTAL: this is very experimental and INCOMPLETE, use at your own discretion. thanks glaz for the help :)

76

RicardoSantos
632 views
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EXPERIMENTAL: just some experimentation to check results, putting it out there. :P odds of the next bar being up or down bar.

64

This is an experimental study based on multi-timeframe price action and a simple average. Use it to quickly identify MTF support and resistance, and high probability price levels. NOTE: Because higher timeframe levels are not certain until the interval is closed, refresh your chart as new levels are drawn.

57

ernest89
242 views
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This is a high probability analysis with Fibonacci Zones. Zones: E1 = 1.382 E = 1.00 D1 = 0.618 D = 0.50 Daily Pivot (Balance Point) B = 0.50 B1 = 0.618 A = 1.00 A1 = 1.382 The Fibonacci ZonesTM are based on the High + Low + Close of TODAY (after the close) and then projecting the Zones for TOMORROW. You can choose different periods of time to perform the zone...

35

Rashad
493 views
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This is Covariance on Covariance. It shows you how much a given covariance period has deviated from it mean over another defined period. Because it is a time series, It can allow you to spot changes in how covariance changes. You can apply trend lines, Fibonacci retracements, etc. This is also volume weighting covariance. This is not a directional indicator nor...

36

The Path uses a statistical method that I have developed to indicate possible Lows and Highs of the current bar for the selected time frame. You can see the range at the opening of the bar. You can narrow or widen the range by changing the "Range %". What does The Path indicate? The Path uses a statistical method and calculates the limits of the bar. For example...

29

siretate
56 views
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This script shows the average count of 'up bars' vs. 'down bars'. It is intended for statistic and probability purposes only. It does not include high or low price in the calculation - only the open and close prices are used. Under settings, click "show difference" to see the difference between the two averages. This can also be called positive/negative drift....

1

siretate
178 views
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This is a very simple script... it does not necessarily create signals. It only provides useful feedback via statistics & probability. There will be a green background if there are two green bars in a row, and it will stay green until two red bars show up (in which it switches color to red until two green bars show up again). The fuchsia arrows show the double...

15

Description. ------------- P-Signal v.2.0 is a modified and improved version of an earlier published P-Signal. This version allows to observe the signal image for a multi frame - a specific set of periods. In this version it is {T, 2T, 4T, 8T, 16T}, where T equals the “working” time i.e. period for which a chart is observed. For example, if T=5m, one can...

8

P-Signal calculates the error function (Gauss-Laplace) for a series of increments in the specific price of time frame. The absolute value of the signal is equal to the probability of changing the sign of the observed series of increments. The sign of the observed series coincides with the sign of the signal. P-Signal v1.0 has two parameters. - Number of Time...

10

WonderTones
306 views
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// The script is useful to inspect probability: // If previous day closed at lowest price for several days // how often next day would be red bar // As one can see gray lines indicate bars with lowest close. If next bar is green, increment diff_hi, overwise increment diff_lo // Probability is counted as diff_lo / (diff_hi+diff_lo) // One can copy script and...

13

Rashad
719 views
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Co-variance is a representation of the average percent data points deviate from there mean. A standard calculation of Co-variance uses One standard Deviation. Using the empirical rule, we can assume that about 68.26% of Data points lie in this range. The advantage to plotting co variance as a time series is that it will show you how volatility of a trailing...

55

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