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Utility

ZenLibraryLibrary "ZenLibrary" A collection of custom tools & utility functions commonly used with my scripts. getDecimals() Calculates how many decimals are on the quote price of the current market   Returns: The current decimal places on the market quote price truncate(float, float) Truncates (cuts) excess decimal places   Parameters:      float : _number The number to truncate      float : _decimalPlaces (default=2) The number of decimal places to truncate to   Returns: The given _number truncated to the given _decimalPlaces toWhole(float) Converts pips into whole numbers   Parameters:      float : _number The pip number to convert into a whole number   Returns: The converted number toPips(float) Converts whole numbers back into pips   Parameters:      float : _number The whole number to convert into pips   Returns: The converted number av_getPositionSize(float, float, float, float) Calculates OANDA forex position size for AutoView based on the given parameters   Parameters:      float : _balance The account balance to use      float : _risk The risk percentage amount (as a whole number - eg. 1 = 1% risk)      float : _stopPoints The stop loss distance in POINTS (not pips)      float : _conversionRate The conversion rate of our account balance currency   Returns: The calculated position size (in units - only compatible with OANDA) getMA(int, string) Gets a Moving Average based on type   Parameters:      int : _length The MA period      string : _maType The type of MA   Returns: A moving average with the given parameters getEAP(float) Performs EAP stop loss size calculation (eg. ATR >= 20.0 and ATR < 30, returns 20)   Parameters:      float : _atr The given ATR to base the EAP SL calculation on   Returns: The EAP SL converted ATR size barsAboveMA(int, float) Counts how many candles are above the MA   Parameters:      int : _lookback The lookback period to look back over      float : _ma The moving average to check   Returns: The bar count of how many recent bars are above the MA barsBelowMA(int, float) Counts how many candles are below the MA   Parameters:      int : _lookback The lookback period to look back over      float : _ma The moving average to reference   Returns: The bar count of how many recent bars are below the EMA barsCrossedMA(int, float) Counts how many times the EMA was crossed recently   Parameters:      int : _lookback The lookback period to look back over      float : _ma The moving average to reference   Returns: The bar count of how many times price recently crossed the EMA getPullbackBarCount(int, int) Counts how many green & red bars have printed recently (ie. pullback count)   Parameters:      int : _lookback The lookback period to look back over      int : _direction The color of the bar to count (1 = Green, -1 = Red)   Returns: The bar count of how many candles have retraced over the given lookback & direction getBodySize() Gets the current candle's body size (in POINTS, divide by 10 to get pips)   Returns: The current candle's body size in POINTS getTopWickSize() Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's top wick size in POINTS getBottomWickSize() Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's bottom wick size in POINTS getBodyPercent() Gets the current candle's body size as a percentage of its entire size including its wicks   Returns: The current candle's body size percentage isHammer(float, bool) Checks if the current bar is a hammer candle based on the given parameters   Parameters:      float : _fib (default=0.382) The fib to base candle body on      bool : _colorMatch (default=false) Does the candle need to be green? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a hammer candle isStar(float, bool) Checks if the current bar is a shooting star candle based on the given parameters   Parameters:      float : _fib (default=0.382) The fib to base candle body on      bool : _colorMatch (default=false) Does the candle need to be red? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a shooting star candle isDoji(float, bool) Checks if the current bar is a doji candle based on the given parameters   Parameters:      float : _wickSize (default=2) The maximum top wick size compared to the bottom (and vice versa)      bool : _bodySize (default=0.05) The maximum body size as a percentage compared to the entire candle size   Returns: A boolean - true if the current bar matches the requirements of a doji candle isBullishEC(float, float, bool) Checks if the current bar is a bullish engulfing candle   Parameters:      float : _allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)      float : _rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage      bool : _engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?   Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle isBearishEC(float, float, bool) Checks if the current bar is a bearish engulfing candle   Parameters:      float : _allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)      float : _rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage      bool : _engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?   Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle timeFilter(string, bool) Determines if the current price bar falls inside the specified session   Parameters:      string : _sess The session to check      bool : _useFilter (default=false) Whether or not to actually use this filter   Returns: A boolean - true if the current bar falls within the given time session dateFilter(int, int) Determines if this bar's time falls within date filter range   Parameters:      int : _startTime The UNIX date timestamp to begin searching from      int : _endTime the UNIX date timestamp to stop searching from   Returns: A boolean - true if the current bar falls within the given dates dayFilter(bool, bool, bool, bool, bool, bool, bool) Checks if the current bar's day is in the list of given days to analyze   Parameters:      bool : _monday Should the script analyze this day? (true/false)      bool : _tuesday Should the script analyze this day? (true/false)      bool : _wednesday Should the script analyze this day? (true/false)      bool : _thursday Should the script analyze this day? (true/false)      bool : _friday Should the script analyze this day? (true/false)      bool : _saturday Should the script analyze this day? (true/false)      bool : _sunday Should the script analyze this day? (true/false)   Returns: A boolean - true if the current bar's day is one of the given days atrFilter(float, float) Checks the current bar's size against the given ATR and max size   Parameters:      float : _atr (default=ATR 14 period) The given ATR to check      float : _maxSize The maximum ATR multiplier of the current candle   Returns: A boolean - true if the current bar's size is less than or equal to _atr x _maxSize fillCell(table, int, int, string, string, color, color) This updates the given table's cell with the given values   Parameters:      table : _table The table ID to update      int : _column The column to update      int : _row The row to update      string : _title The title of this cell      string : _value The value of this cell      color : _bgcolor The background color of this cell      color : _txtcolor The text color of this cell   Returns: A boolean - true if the current bar falls within the given dates
ไลบรารี Pine Script™
โดย ZenAndTheArtOfTrading
30
Run TimerThis is a simple utility which counts the number of bars and time elapsed after starting the script. This can be used in time or bars based conditions to modify script behavior. This particular script does the following: Starts timer when script is added to chart Timer is green when starting and continues to be in green if the right Auth key is used in input (Which is hardcoded as 1234 here) If right auth key is not provided in the input, timer background turns red after trial bars. Script can be modified to use elapsed time instead. Thanks to @Bjorgum on assisting on few calculations :)
อินดิเคเตอร์ Pine Script™
โดย Trendoscope
2
Filter Information Box - PineCoders FAQWhen designing filters it can be interesting to have information about their characteristics, which can be obtained from the set of filter coefficients (weights). The following script analyzes the impulse response of a filter in order to return the following information: Lag Smoothness via the Herfindahl index Percentage Overshoot Percentage Of Positive Weights The script also attempts to determine the type of the analyzed filter, and will issue warnings when the filter shows signs of unwanted behavior. DISPLAYED INFORMATION AND METHODS The script displays one box on the chart containing two sections. The filter metrics section displays the following information: - Lag : Measured in bars and calculated from the convolution between the filter's impulse response and a linearly increasing sequence of value 0,1,2,3... . This sequence resets when the impulse response crosses under/over 0. - Herfindahl index : A measure of the filter's smoothness described by Valeriy Zakamulin. The Herfindahl index measures the concentration of the filter weights by summing the squared filter weights, with lower values suggesting a smoother filter. With normalized weights the minimum value of the Herfindahl index for low-pass filters is 1/N where N is the filter length. - Percentage Overshoot : Defined as the maximum value of the filter step response, minus 1 multiplied by 100. Larger values suggest higher overshoots. - Percentage Positive Weights : Percentage of filter weights greater than 0. Each of these calculations is based on the filter's impulse response, with the impulse position controlled by the Impulse Position setting (its default is 1000). Make sure the number of inputs the filter uses is smaller than Impulse Position and that the number of bars on the chart is also greater than Impulse Position . In order for these metrics to be as accurate as possible, make sure the filter weights add up to 1 for low-pass and band-stop filters, and 0 for high-pass and band-pass filters. The comments section displays information related to the type of filter analyzed. The detection algorithm is based on the metrics described above. The script can detect the following type of filters: All-Pass Low-Pass High-Pass Band-Pass Band-Stop It is assumed that the user is analyzing one of these types of filters. The comments box also displays various warnings. For example, a warning will be displayed when a low-pass/band-stop filter has a non-unity pass-band, and another is displayed if the filter overshoot is considered too important. HOW TO SET THE SCRIPT UP In order to use this script, the user must first enter the filter settings in the section provided for this purpose in the top section of the script. The filter to be analyzed must then be entered into the: f(input) function, where `input` is the filter's input source. By default, this function is a simple moving average of period length . Be sure to remove it. If, for example, we wanted to analyze a Blackman filter, we would enter the following: f(input)=> pi = 3.14159,sum = 0.,sumw = 0. for i = 0 to length-1 k = i/length w = 0.42 - 0.5 * cos(2 * pi * k) + 0.08 * cos(4 * pi * k) sumw := sumw + w sum := sum + w*input sum/sumw EXAMPLES In this section we will look at the information given by the script using various filters. The first filter we will showcase is the linearly weighted moving average (WMA) of period 9. As we can see, its lag is 2.6667, which is indeed correct as the closed form of the lag of the WMA is equal to (period-1)/3 , which for period 9 gives (9-1)/3 which is approximately equal to 2.6667. The WMA does not have overshoots, this is shown by the the percentage overshoot value being equal to 0%. Finally, the percentage of positive weights is 100%, as the WMA does not possess negative weights. Lets now analyze the Hull moving average of period 9. This moving average aims to provide a low-lag response. Here we can see how the lag is way lower than that of the WMA. We can also see that the Herfindahl index is higher which indicates the WMA is smoother than the HMA. In order to reduce lag the HMA use negative weights, here 55% (as there are 45% of positive ones). The use of negative weights creates overshoots, we can see with the percentage overshoot being 26.6667%. The WMA and HMA are both low-pass filters. In both cases the script correctly detected this information. Let's now analyze a simple high-pass filter, calculated as follows: input - ‎sma(input,length) Most weights of a high-pass filters are negative, which is why the lag value is negative. This would suggest the indicator is able to predict future input values, which of course is not possible. In the case of high-pass filters, the Herfindahl index is greater than 0.5 and converges toward 1, with higher values of length . The comment box correctly detected the type of filter we were using. Let's now test the script using the simple center of gravity bandpass filter calculated as follows: ‎wma(input,length) - ‎sma(input,length) The script correctly detected the type of filter we are using. Another type of filter that the script can detect is band-stop filters. A simple band-stop filter can be made as follows: input - (‎wma(input,length) - ‎sma(input,length)) The script correctly detect the type of filter. Like high-pass filters the Herfindahl index is greater than 0.5 and converges toward 1, with greater values of length . Finally the script can detect all-pass filters, which are filters that do not change the frequency content of the input. WARNING COMMENTS The script can give warning when certain filter characteristics are detected. One of them is non-unity pass-band for low-pass filters. This warning comment is displayed when the weights of the filter do not add up to 1. As an example, let's use the following function as a filter: sum(input,length) Here the filter pass-band has non unity, and the sum of the weights is equal to length . Therefore the script would display the following comments: We can also see how the metrics go wild (note that no filter type is detected, as the detected filter could be of the wrong type). The comment mentioning the detection of high overshoot appears when the percentage overshoot is greater than 50%. For example if we use the following filter: 5*wma(input,length) - 4*sma(input,length) The script would display the following comment: We can indeed see high overshoots from the filter: @alexgrover for PineCoders Look first. Then leap.
อินดิเคเตอร์ Pine Script™
โดย PineCoders
19
Bands-Trailing Stop UtilityIntroduction Bands and trailing stops are important indicators in technical analysis, while we could think that both are different they can be in fact closely related, at least in the way they are made. Bands and trailing stops can be made from a simple central tendency estimator, like a moving average, and from a volatility estimator like standard deviation, atr...etc. This is why i propose this utility that allow you to make bands and trailing stops from any indicator in the price chart. How To Use All you have to do is select the indicator you want to make bands from in the settings, so just open the Bands-Trailing Stop Utility indicator settings and select your indicator in "Source". Make sure your source indicator is not in "hide" mode. For example here i'am using a moving average as source for the indicator. Mult control how spread the bands are from each others, by default mult = 1, if we use mult = 2 we get : Mult can be non-integer as well as lower than 1 (when lower than 1 the bands would be closer to each others) Error/Volatility Estimators You can choose from a wide variety of volatility estimators, select the estimator from the "Method" scrolling parameter in settings, by default the indicator will use the running mean absolute error (MAE) which don't use length. Other estimators use length, making length = to the period of the source indicator can help get better results. The root moving averaged squared error (RMASE) is just the square root of the simple moving average of the squared difference between the closing price and the source indicator. length control the period of the moving average of RMASE. You can also use the average true range with period length. It might work better with low lagging moving averages. The range is simply the difference between the highest and lowest over length periods of the source indicator. Stdev is simply the price running standard deviation. Trailing Stop When the trailing stop mode is checked the bands will be replaced by a trailing stop, the trailing stop will still depend on every settings of the indicator like mult/volatility estimator...etc. Conclusion You might find an use to this tool if you want to make bands/trailing stops from pretty much everything. The indicator used as source for the examples is a smooth exponential averager that i could share if i see interest from peoples. Thanks for reading !
อินดิเคเตอร์ Pine Script™
โดย alexgrover
10
Moving Average Bundle3 Moving Average Lines. All parameters are configurable via user input. Each of these moving average lines already exist as individual indicators in TradingView. This script just bundles them for one stop shopping. It's helpful if you're limited by the number of indicators per chart. And highly educational: quickly compare the different averaging methods! sma: Simple Moving Average rma: Recursive Moving Average ema: Exponential Moving Average wma: Weighted Moving Average vma: Volume Weighted Moving Average wma: Weighted Moving Average alma: Arnaud Legoux Moving Average Note: Only Pine built-in functions are included.
อินดิเคเตอร์ Pine Script™
โดย brobear
4