Sample

Walk-Forward Window Visualizer Visualises rolling or anchored walk-forward train/test windows over chart history at a fixed train-size + test-size cadence. It shades alternating training and out-of-sample test segments so you can see how an honest walk-forward evaluation would carve up your data. It does NOT generate buy or sell signals. How to read it Rolling mode steps a fixed train window then tests on the following block, repeatedly. Anchored mode keeps an expanding training prefix and tests on the contiguous out-of-sample region after it. Honest by design - No buy/sell signals. This is a layout/visualisation tool. - Non-repainting: bands are a deterministic function of the bar index. Open-source and MIT licensed. Disclaimer: impersonal educational and analytics tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions.

Indicator

by outofsamplelab

Ehlers Undersampled Double Moving Average Indicator [CC]The Undersampled Double Moving Average was created by John Ehlers (Stocks and Commodities April 2023), and this is a double moving average system which is pretty rare for John Ehlers. For those of you who would like my other take on an Ehlers double moving average, be sure to check out my previous Ehlers double moving average script . He came up with a unique idea for this indicator to create a moving average using a sample of the price data. For example, we use his suggested length of 5 only to use the price data every 5 bars. Feel free to change this, and please let me know if you find a length that works better. He then smooths the indicator using the Hann Windowed Moving Average . I color-coded the lines to show stronger signals in darker colors or standard signals in lighter colors. Buy when the line turns green and sell when it turns red. Let me know if there is an indicator or script you would like to see me publish!

Indicator

by cheatcountry

FunctionProbabilityDistributionSampling 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.

Library

by RicardoSantos

Function - Sequence From Series Function to create a array from a sample taken from a series (ex:. close, hlc3...).

Indicator

by RicardoSantos

2 Dimensional Array using one floating point entry This is an attempt to create a two dimensional floating point array from the pine single dimension array. It enables some useful array functions like sorting, when you are trying to keep track of price and location in time or bars and you would like to sort the array. Other array functions on this array will not work, like average and other statistical functions - they will provide bad results. I would suggest continuing to use a single dimensional array for each element where that kind of array function is required. I wrote this simply as a mean of using the sort functions when I had to sort price and try to keep the bar location or time in synch. Other array functions could be written to manipulate this kind of array, leave that to others. The goal here was to avoid using for loops which would be a performance impact on large arrays. The basic concept is to create one floating point number from two, put that into an array, and then be able to pull the compound value out and parse out the individual components. I imagine it could also accommodate a 3 or 4 dimensional array with some work, as long as you had some idea of how many digits are consumed by each element. For example you may be interested in storing price, RSI, x_loc values and then be able to sort and parse them out.

Indicator

Scoring Development Sample [BigBitsIO]This script shows a sample of how to do confidence weighted scoring indicators and for loops with Pine. This indicator may or may not be found useful, it's intent is to provide a sample on how to create such an indicator and use certain Pine features. Features: - Defined points based on the confidence of RSI and Stochastic indicator - Defined points based on candle color and sma trend direction - For loops used to calculate bonus points for "extended periods" of confidence. *** DISCLAIMER: For educational and entertainment purposes only. Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security or investment including all types of crypto. DYOR, TYOB. ***

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Sum and Subtract Hours and Minutes Sample This indicators it's a programming sample of how to sum and subtract hours and minutes on Tradingview

Indicator

In-depth global business and economic analysis Comprehensive trading education and market insights