Black Friday indirimi70% oranına varan İNDİRİM

Göstergeler ve stratejiler

taLibrary "ta" This library is a Pine Script™ programmer’s tool containing calcs for my oscillators and some helper functions. buoyancy(src, targetPeriod, maxLookback)   Calculates buoyancy using a target of `src` summed over `targetPeriod` bars, not searching back farther than `maxLookback` bars. See:   Parameters:      src : (series float) The source value that is summed to constitute the target.      targetPeriod : (series int) The qty of bars to sum `src` for in order to calculate the target.      maxLookback : (simple int) The maximum number of bars back the function will search.   Returns: (series float) Buoyancy: the gap between the avg distance of past up and dn bars added to reach the target, divided by the max distance reached. Returns zero when an error condition occurs. efficientWork(length)   Calculates Efficient Work on `length` bars. See:   Parameters:      length : (simple int) The length of the ALMA used to calculate the result.   Returns: (series float) A -1 to +1 value representing the efficiency of price travel, bar to bar. ma(type, src, length)   Returns the `type` MA of the `src` over the `length`.   Parameters:      type : (simple string) The type of MA required (uses constants that must be defined earlier in the script).      src : (series float) The source value used to calculate the MA.      length : (simple int) The length value used to calculate the MA.   Returns: (series float) The MA value. divergenceChannel(divergence, hiSrc, loSrc, breachHiSrc, breachLoSrc)   Calculates the levels and states of divergence channels, which are created when divergences occur.   Parameters:      divergence : (series bool) `true` on divergences, which can be defined any way. On breached channels it creates a new channel, otherwise, channel levels are expanded.      hiSrc : (series float) The price source used to set the channel's hi level when a divergence occurs.      loSrc : (series float) The price source used to set the channel's lo level when a divergence occurs.      breachHiSrc : (series float) The price source that must breach over the channel's `channelHi` level for a breach to occur.      breachLoSrc : (series float) The price source that must breach under the channel's `channelLo` level for a breach to occur.   Returns: A tuple containing the following values: sourceStrToFloat(srcString)   Converts the name of a source in the `srcString` to its numerical equivalent.   Parameters:      srcString : (series string) The string representing the name of the source value to be returned.   Returns: (series float) The source's value.
Pine Script™ kitaplığı
LucF tarafından
EconomicCalendarLibrary "EconomicCalendar" This library is a data provider for important dates and times from the Economic Calendar. events()   Returns the list of dates supported by this library as a string array.   Returns: array : Names of events supported by this library fomcMeetings()   Gets the FOMC Meeting Dates. The FOMC meets eight times a year to determine the course of monetary policy. The FOMC announces its decision on the federal funds rate at the conclusion of each meeting and also issues a statement that provides information on the economic outlook and the Committee's assessment of the risks to the outlook.   Returns: array : FOMC Meeting Dates as timestamps fomcMinutes()   Gets the FOMC Meeting Minutes Dates. The FOMC Minutes are released three weeks after each FOMC meeting. The Minutes provide information on the Committee's deliberations and decisions at the meeting.   Returns: array : FOMC Meeting Minutes Dates as timestamps ppiReleases()   Gets the Producer Price Index (PPI) Dates. The Producer Price Index (PPI) measures the average change over time in the selling prices received by domestic producers for their output. The PPI is a leading indicator of CPI, and CPI is a leading indicator of inflation.   Returns: array : PPI Dates as timestamps cpiReleases()   Gets the Consumer Price Index (CPI) Rekease Dates. The Consumer Price Index (CPI) measures changes in the price level of a market basket of consumer goods and services purchased by households. The CPI is a leading indicator of inflation.   Returns: array : CPI Dates as timestamps csiReleases()   Gets the CSI release dates. The Consumer Sentiment Index (CSI) is a survey of consumer attitudes about the economy and their personal finances. The CSI is a leading indicator of consumer spending.   Returns: array : CSI Dates as timestamps cciReleases()   Gets the CCI release dates. The Conference Board's Consumer Confidence Index (CCI) is a survey of consumer attitudes about the economy and their personal finances. The CCI is a leading indicator of consumer spending.   Returns: array : CCI Dates as timestamps nfpReleases()   Gets the NFP release dates. Nonfarm payrolls is an employment report released monthly by the Bureau of Labor Statistics (BLS) that measures the change in the number of employed people in the United States.   Returns: array : NFP Dates as timestamps
Pine Script™ kitaplığı
jdehorty tarafından
10
normsinvLibrary "normsinv" Description: Returns the inverse of the standard normal cumulative distribution. The distribution has a mean of zero and a standard deviation of one; i.e., normsinv seeks that value z such that a normal distribtuion of mean of zero and standard deviation one is equal to the input probability. Reference: github.com normsinv(y0)   Returns the inverse of the standard normal cumulative distribution. The distribution has a mean of zero and a standard deviation of one.   Parameters:      y0 : float, probability corresponding to the normal distribution.   Returns: float, z-score
Pine Script™ kitaplığı
loxx tarafından
4
Strategy PnL LibraryLibrary "Strategy_PnL_Library" TODO: This is a library that helps you learn current pnl of open position and use it to create your own dynamic take profit or stop loss rules based on current level of your profit. It should only be used with strategies. inTrade()   inTrade: Checks if a position is currently open.   Returns: bool: true for yes, false for no. notInTrade()   inTrade: Checks if a position is currently open. Interchangeable with inTrade but just here for simple semantics.   Returns: bool: true for yes, false for no. pnl()   pnl: Calculates current profit or loss of position after the commission. If the strategy is not in trade it will always return na.   Returns: float: Current Profit or Loss of position, positive values for profit, negative values for loss. entryBars()   entryBars: Checks how many bars it's been since the entry of the position.   Returns: int: Returns a int of strategy entry bars back. Minimum value is always corrected to 1 to avoid lookback errors. pnlvelocity()   pnlvelocity: Calculates the velocity of pnl by following the change in open profit compared to previous bar. If the strategy is not in trade it will always return na.   Returns: float: Returns a float value of pnl velocity. pnlacc()   pnlacc: Calculates the acceleration of pnl by following the change in profit velocity compared to previous bar. If the strategy is not in trade it will always return na.   Returns: float: Returns a float value of pnl acceleration. pnljerk()   pnljerk: Calculates the jerk of pnl by following the change in profit acceleration compared to previous bar. If the strategy is not in trade it will always return na.   Returns: float: Returns a float value of pnl jerk. pnlhigh()   pnlhigh: Calculates the highest value the pnl has reached since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float highest value the pnl has reached. pnllow()   pnllow: Calculates the lowest value the pnl has reached since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float lowest value the pnl has reached. pnldev()   pnldev: Calculates the deviance of the pnl since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float deviance value of the pnl. pnlvar()   pnlvar: Calculates the variance value of the pnl since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float variance value of the pnl. pnlstdev()   pnlstdev: Calculates the stdev value of the pnl since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float stdev value of the pnl. pnlmedian()   pnlmedian: Calculates the median value of the pnl since the start of the current position. If the strategy is not in trade it will always return na.   Returns: float: Returns a float median value of the pnl.
Pine Script™ kitaplığı
serkany88 tarafından
2
ctndLibrary "ctnd" Description: Double precision algorithm to compute the cumulative trivariate normal distribution found in A.Genz, Numerical computation of rectangular bivariate and trivariate normal and t probabilities”, Statistics and Computing, 14, (3), 2004. The cumulative trivariate normal is needed to price window barrier options, see G.F. Armstrong, Valuation formulae or window barrier options”, Applied Mathematical Finance, 8, 2001. References: link.springer.com www.tandfonline.com citeseerx.ist.psu.edu The Complete Guide to Option Pricing Formulas, 2nd ed. (Espen Gaarder Haug) CTND(LIMIT1, LIMIT2, LIMIT3, SIGMA1, SIGMA2, SIGMA3)   Returns the Cumulative Trivariate Normal Distribution   Parameters:      LIMIT1 : float,      LIMIT2 : float,      LIMIT3 : float,      SIGMA1 : float,      SIGMA2 : float,      SIGMA3 : float,   Returns: float.
Pine Script™ kitaplığı
loxx tarafından
combinLibrary "combin" Description: The combin function is a the combination function as it calculates the number of possible combinations for two given numbers. This function takes two arguments: the number and the number_chosen. For example, if the number is 5 and the number chosen is 1, there are 5 combinations, giving 5 as a result. Reference: ideone.com support.microsoft.com combin(n, kin)   Returns the number of combinations for a given number of items. Use to determine the total possible number of groups for a given number of items.   Parameters:      n : int, The number of items.      kin : int, The number of items in each combination.   Returns: int.
Pine Script™ kitaplığı
loxx tarafından
1
norminvLibrary "norminv" Description: An inverse normal distribution is a way to work backwards from a known probability to find an x-value. It is an informal term and doesn't refer to a particular probability distribution. Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation. Reference: github.com support.microsoft.com norminv(x, mean, stdev)   Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation.   Parameters:      x : float, The input to the normal distribution function.      mean : float, The mean (mu) of the normal distribution function      stdev : float, The standard deviation (sigma) of the normal distribution function.   Returns: float.
Pine Script™ kitaplığı
loxx tarafından
cbndLibrary "cbnd" Description: A standalone Cumulative Bivariate Normal Distribution (CBND) functions that do not require any external libraries. This includes 3 different CBND calculations: Drezner(1978), Drezner and Wesolowsky (1990), and Genz (2004) Comments: The standardized cumulative normal distribution function returns the probability that one random variable is less than a and that a second random variable is less than b when the correlation between the two variables is p. Since no closed-form solution exists for the bivariate cumulative normal distribution, we present three approximations. The first one is the well-known Drezner (1978) algorithm. The second one is the more efficient Drezner and Wesolowsky (1990) algorithm. The third is the Genz (2004) algorithm, which is the most accurate one and therefore our recommended algorithm. West (2005b) and Agca and Chance (2003) discuss the speed and accuracy of bivariate normal distribution approximations for use in option pricing in ore detail. Reference: The Complete Guide to Option Pricing Formulas, 2nd ed. (Espen Gaarder Haug) CBND1(A, b, rho)   Returns the Cumulative Bivariate Normal Distribution (CBND) using Drezner 1978 Algorithm   Parameters:      A : float,      b : float,      rho : float,   Returns: float. CBND2(A, b, rho)   Returns the Cumulative Bivariate Normal Distribution (CBND) using Drezner and Wesolowsky (1990) function   Parameters:      A : float,      b : float,      rho : float,   Returns: float. CBND3(x, y, rho)   Returns the Cumulative Bivariate Normal Distribution (CBND) using Genz (2004) algorithm (this is the preferred method)   Parameters:      x : float,      y : float,      rho : float,   Returns: float.
Pine Script™ kitaplığı
loxx tarafından
cndLibrary "cnd" Cumulative Normal Distribution CND1(x)   Returns the Cumulative Normal Distribution (CND) using the Hart (1968) method. (preferred method, 14-18 decimal accuracy)   Parameters:      x : float,   Returns: float. CND2(x)   Returns the Cumulative Normal Distribution (CND) using the Abromowitz and Stegun (1974) Polynomial Approximation.   Parameters:      x : float,   Returns: float. CND3(x)   Returns the Cumulative Normal Distribution (CND) using Newton-Cotes method, Boole’s rule   Parameters:      x : float,   Returns: float.
Pine Script™ kitaplığı
loxx tarafından
1
TR_Base_LibLibrary "TR_Base_Lib" TODO: add library description here SetHighLowArray() ChangeHighLowArray() ShowLabel(_Text, _X, _Y, _Style, _Size, _Yloc, _Color)   TODO: Function to display labels   Parameters:      _Text : TODO: text (series string) Label text.      _X : TODO: x (series int) Bar index.      _Y : TODO: y (series int/float) Price of the label position.      _Style : TODO: style (series string) Label style.      _Size : TODO: size (series string) Label size.      _Yloc : TODO: yloc (series string) Possible values are yloc.price, yloc.abovebar, yloc.belowbar.      _Color : TODO: color (series color) Color of the label border and arrow   Returns: TODO: No return values GetColor(_Index)   TODO: Function to take out 12 colors in order   Parameters:      _Index : TODO: color number.   Returns: TODO: color code Tbl_position(_Pos)   TODO: Table display position function   Parameters:      _Pos : TODO: position.   Returns: TODO: Table position Tbl_position_JP(_Pos)   TODO: テーブル表示位置 日本語表示位置を定数に変換   Parameters:      _Pos : TODO: 日本語表示位置   Returns: TODO: _result:表示位置の定数を返す TfInMinutes(_Tf)   TODO: 足変換、TimeFrameを分に変換   Parameters:      _Tf : TODO: TimeFrame文字   Returns: TODO: _result:TimeFrameを分に変換した値、_chartTf:チャートのTimeFrameを分に変換した値 TfName_JP(_tf)   TODO: TimeFrameを日本語足名に変換して返す関数　引数がブランクの時はチャートの日本語足名を返す   Parameters:      _tf : TODO: TimeFrame文字   Returns: TODO: _result:日本語足名 DeleteLine()   TODO: Delete Line   Parameters:      : TODO: No parameter   Returns: TODO: No return value DeleteLabel()   TODO: Delete Label   Parameters:      : TODO: No parameter   Returns: TODO: No return value
Pine Script™ kitaplığı
Tommy_Rich tarafından
FibonacciLibrary "Fibonacci" General Fibonacci functions. Get fib numbers, ratios, etc. fib_precise(f, precision)   Get the precise Fibonacci ratio, to the specified number of decimal places   Parameters:      f : Fibonacci ratio (string, in form #.###)      precision : Number of decimal places (optional int, dft = 16, max = 32)   Returns: Precise Fibonacci ratio (float) fib_n(n)   Calculate the Nth number in the Fibonacci sequence   Parameters:      n : Index/number in sequence (int)   Returns: Fibonacci number (int)
Pine Script™ kitaplığı
reees tarafından
2
SupportResitanceAndTrendLibrary "SupportResitanceAndTrend" Contains utilities for finding key levels of support, resistance and direction of trend. superTrendPlus(multiple, h, l, atr, closeBars)   A more flexible version of SuperTrend that allows for supplying the series used and sensitivity adjustment by confirming close bars.   Parameters:      multiple : The multiple to apply to the average true range.      h : The high values.      l : The low values.      atr : The average true range values.      closeBars : The number of bars to confirm a change in trend.   Returns: superTrend(multiple, period, mode, closeBars)   superTrendPlus with simplified parameters.   Parameters:      multiple : The multiple to apply to the average true range.      period : The number of bars to measure.      mode : The type of moving average to use with the true range.      closeBars : The number of bars to confirm a change in trend.   Returns: superTrendCleaned(multiple, period, mode, closeBars, maxDeviation)   superTrendPlus with default compensation for extreme volatility.   Parameters:      multiple : The multiple to apply to the average true range.      period : The number of bars to measure.      mode : The type of moving average to use with the true range.      closeBars : The number of bars to confirm a change in trend.      maxDeviation : The optional standard deviation level to use when cleaning the series. The default is the value of the provided level.   Returns: stochSR()   Identifies support and resistance levels by when a stochastic RSI reverses.   Returns: stochAVWAP()   Identifies anchored VWAP levels by when a stochastic RSI reverses.   Returns:
Pine Script™ kitaplığı
wuttikraim tarafından
1
MovingAveragesLibrary "MovingAverages" vawma(len, src, volumeDefault)   VAWMA = VWMA and WMA combined. Simply put, this attempts to determine the average price per share over time weighted heavier for recent values. Uses a triangular algorithm to taper off values in the past (same as WMA does).   Parameters:      len : The number of bars to measure with.      src : The series to measure from. Default is 'hlc3'.      volumeDefault : The default value to use when a chart has no (N/A) volume.   Returns: The volume adjusted triangular weighted moving average of the series. cma(n, D, C, compound)   Coefficient Moving Avereage (CMA) is a variation of a moving average that can simulate SMA or WMA with the advantage of previous data.   Parameters:      n : The number of bars to measure with.      D : The series to measure from. Default is 'close'.      C : The coefficient to use when averaging. 0 behaves like SMA, 1 behaves like WMA.      compound : When true (default is false) will use a compounding method for weighting the average. ema(len, src)   Same as ta.ema(src,len) but properly ignores NA values.   Parameters:      len : The number of samples to derive the average from.      src : The series to measure from. Default is 'close'. wma(len, src, startingWeight)   Same as ta.wma(src,len) but properly ignores NA values.   Parameters:      len : The number of samples to derive the average from.      src : The series to measure from. Default is 'close'.      startingWeight : The weight to begin with when calculating the average. Higher numbers will decrease the bias. vwma(len, src, volumeDefault)   Same as ta.vwma(src,len) but properly ignores NA values.   Parameters:      len : The number of bars to measure with.      src : The series to measure from. Default is 'hlc3'.      volumeDefault : The default value to use when a chart has no (N/A) volume. get(type, len, src)   Generates a moving average based upon a 'type'.   Parameters:      type : The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.      len : The number of bars to measure with.      src : The series to measure from. Default is 'close'.   Returns: The moving average series requested.
Pine Script™ kitaplığı
wuttikraim tarafından
1
DataCleanerLibrary "DataCleaner" outlierLevel(src, len, level)   Gets the (standard deviation) outlier level for a given series.   Parameters:      src : The series to average and add a multiple of the standard deviation to.      len : The The number of bars to measure.      level : The positive or negative multiple of the standard deviation to apply to the average. A positive number will be the upper boundary and a negative number will be the lower boundary.   Returns: The average of the series plus the multiple of the standard deviation. naOutliers(src, len, maxDeviation)   Returns only values that are within the maximum deviation.   Parameters:      src : The series to filter results from.      len : The The number of bars to measure.      maxDeviation : The maximum deviation before considered an outlier. normalize(src, len, maxDeviation, baseline)   Returns the source value adjusted by its standard deviation.   Parameters:      src : The series to measure.      len : The number of bars to measure the standard deviation.      maxDeviation : The maximum deviation before considered an outlier.      baseline : The value considered to be at center. Typically zero. cleanUsing(src, result, len, maxDeviation)   Returns an array representing the result series with (outliers provided by the source) removed.   Parameters:      src : The source series to read from.      result : The result series.      len : The maximum size of the resultant array.      maxDeviation : The positive or negative multiple of the standard deviation to apply to the average. A positive number will be the upper boundary and a negative number will be the lower boundary.   Returns: An array containing the cleaned series. clean(src, len, maxDeviation)   Returns an array representing the source series with outliers removed.   Parameters:      src : The source series to read from.      len : The maximum size of the resultant array.      maxDeviation : The positive or negative multiple of the standard deviation to apply to the average. A positive number will be the upper boundary and a negative number will be the lower boundary.   Returns: An array containing the cleaned series. cleanArray(src, maxDeviation)   Returns an array representing the source array with outliers removed.   Parameters:      src : The source series to read from.      maxDeviation : The positive or negative multiple of the standard deviation to apply to the average. A positive number will be the upper boundary and a negative number will be the lower boundary.   Returns: An array containing the cleaned series. naArrayOutliers(src, maxDeviation)   Returns an array representing the source array with outliers removed.   Parameters:      src : The array to set outliers to N/A.      maxDeviation : The maximum deviation before considered an outlier.   Returns: True if there were any outliers; otherwise false. outlierLevelAdjusted(src, len, level, maxDeviation)   Gets the (standard deviation) outlier level for a given series after a single pass of removing any outliers.   Parameters:      src : The series to average and add a multiple of the standard deviation to.      len : The The number of bars to measure.      level : The positive or negative multiple of the standard deviation to apply to the average. A positive number will be the upper boundary and a negative number will be the lower boundary.      maxDeviation : The optional standard deviation level to use when cleaning the series. The default is the value of the provided level.   Returns: The average of the series plus the multiple of the standard deviation.
Pine Script™ kitaplığı
wuttikraim tarafından
DiscordLibraryLibrary "DiscordLibrary" BoldString()   Bold String in Discord Function ItalicizeString()   Italicize String in Discord Function StrikeThroughString()   Strikethrough a String in Discord Function UnderlineString()   Underline a String in Discord Function SpoilerString()   When you send the text, it will be shown as a black block, and only by clicking on it will you be able to see what is written below, in a way, unveiling the text or giving spoilers HighlightString()   Highlight String Function BoxedString()   Put String in a Box Function NonEmbeddedURLString()   Format URL String so that it is not an embedded Image but just the Link InvisibleString()   Send Inivisible Text FormatTimePeriodForDiscord() GetDiscordEmbedJSON()   Generate discord embed JSON GetDiscordTextJSON()   Formats Content Only JSON Message Truncate()   Custom function to truncate (cut) excess decimal places FormatDiscordMessage()   format Content message FormatCoin()   Format Ticker Symbol
Pine Script™ kitaplığı
E5Trading tarafından
PineHelperLibrary "PineHelper" This library provides various functions to reduce your time. recent_opentrade_entry_bar_index()   get a recent opentrade entry bar_index   Returns: (int) bar_index recent_closedtrade_entry_bar_index()   get a recent closedtrade entry bar_index   Returns: (int) bar_index recent_closedtrade_exit_bar_index()   get a recent closedtrade exit bar_index   Returns: (int) bar_index all_opnetrades_roi()   get all aopentrades roi   Returns: (float) roi bars_since_recent_opentrade_entry()   get bars since recent opentrade entry   Returns: (int) number of bars bars_since_recent_closedtrade_entry()   get bars since recent closedtrade entry   Returns: (int) number of bars bars_since_recent_closedtrade_exit()   get bars since recent closedtrade exit   Returns: (int) number of bars recent_opentrade_entry_id()   get recent opentrade entry ID   Returns: (string) entry ID recent_closedtrade_entry_id()   get recent closedtrade entry ID   Returns: (string) entry ID recent_closedtrade_exit_id()   get recent closedtrade exit ID   Returns: (string) exit ID recent_opentrade_entry_price()   get recent opentrade entry price   Returns: (float) price recent_closedtrade_entry_price()   get recent closedtrade entry price   Returns: (float) price recent_closedtrade_exit_price()   get recent closedtrade exit price   Returns: (float) price recent_opentrade_entry_time()   get recent opentrade entry time   Returns: (int) time recent_closedtrade_entry_time()   get recent closedtrade entry time   Returns: (int) time recent_closedtrade_exit_time()   get recent closedtrade exit time   Returns: (int) time time_since_recent_opentrade_entry()   get time since recent opentrade entry   Returns: (int) time time_since_recent_closedtrade_entry()   get time since recent closedtrade entry   Returns: (int) time time_since_recent_closedtrade_exit()   get time since recent closedtrade exit   Returns: (int) time recent_opentrade_size()   get recent opentrade size   Returns: (float) size recent_closedtrade_size()   get recent closedtrade size   Returns: (float) size all_opentrades_size()   get all opentrades size   Returns: (float) size recent_opentrade_profit()   get recent opentrade profit   Returns: (float) profit all_opentrades_profit()   get all opentrades profit   Returns: (float) profit recent_closedtrade_profit()   get recent closedtrade profit   Returns: (float) profit recent_opentrade_max_runup()   get recent opentrade max runup   Returns: (float) runup recent_closedtrade_max_runup()   get recent closedtrade max runup   Returns: (float) runup recent_opentrade_max_drawdown()   get recent opentrade maxdrawdown   Returns: (float) mdd recent_closedtrade_max_drawdown()   get recent closedtrade maxdrawdown   Returns: (float) mdd max_open_trades_drawdown()   get max open trades drawdown   Returns: (float) mdd recent_opentrade_commission()   get recent opentrade commission   Returns: (float) commission recent_closedtrade_commission()   get recent closedtrade commission   Returns: (float) commission qty_by_percent_of_equity(percent)   get qty by percent of equtiy   Parameters:      percent : (series float) percent that you want to set   Returns: (float) quantity qty_by_percent_of_position_size(percent)   get size by percent of position size   Parameters:      percent : (series float) percent that you want to set   Returns: (float) size is_day_change()   get bool change of day   Returns: (bool) day is change or not is_in_trade()   get bool using number of bars   Returns: (bool) allowedToTrade discord_message(name, message)   get json format discord message   Parameters:      name : (string) name of bot      message : (string) message that you want to send   Returns: (string) json format string telegram_message(chat_id, message)   get json format telegram message   Parameters:      chat_id : (string) chatId of bot      message : (string) message that you want to send   Returns: (string) json format string
Pine Script™ kitaplığı
dokang tarafından
5