a test case for the KDE function on price delta. the KDE function can be used to quickly check or confirm edge cases of the trading systems conditionals.

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In fact, I wrote this script for detect Bollinger and Linear Regression Bands squeeze. It's a side script. Logic works like this: Only the stagnant market probability is drawn from the Bollinger bandwidth by Dependent Variable Odd Generator and MFI index is calculated taking into account the volume. This value ranges from 0 to 100. To be sure, this value is...

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displays the distribution of the outcome of a event over the last event. similar to this script:

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Analyze exponential trends, a line in log chart is exponential in an absolute chart.

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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...

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This script was created by building my Dependent Variable Odd Generator script on the Minkovski Distance Adaptive Period. I have tried this on MACD before. Script related to MACD : I used an older version that does not use Dow Factor to suit multi timeframe...

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function to calculate Chebyshev Inequality. wich can be used to compute the probability that we will diverge from what we expect to obtain. reference: - www.omnicalculator.com - github.com -...

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Library "FunctionSMCMC" Methods to implement Markov Chain Monte Carlo Simulation (MCMC) markov_chain(weights, actions, target_path, position, last_value) a basic implementation of the markov chain algorithm Parameters: weights : float array, weights of the Markov Chain. actions : float array, actions of the Markov Chain. target_path : float...

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A user defined function library of probability focused functions.

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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.

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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...

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Library "FunctionProbabilityDistributionSampling" Methods for probability distribution sampling selection. sample(probabilities) Computes a random selected index from a probability distribution. Parameters: probabilities : float array, probabilities of sample. Returns: int.

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function to retrieve Gini Impurity / Gini Index. reference: - victorzhou.com - en.wikipedia.org

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functions for shannon's entropy reference: - en.wiktionary.org - machinelearningmastery.com

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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....

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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...

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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...

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