PINE LIBRARY
libKageMisc
Telah dikemas kini
Library "libKageMisc"
Kage's Miscelaneous library
print(_value)
Print a numerical value in a label at last historical bar.
Parameters:
_value: (float) The value to be printed.
Returns: Nothing.
barsBackToDate(_year, _month, _day)
Get the number of bars we have to go back to get data from a specific date.
Parameters:
_year: (int) Year of the specific date.
_month: (int) Month of the specific date. Optional. Default = 1.
_day: (int) Day of the specific date. Optional. Default = 1.
Returns: (int) Number of bars to go back until reach the specific date.
bodySize(_index)
Calculates the size of the bar's body.
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) The size of the bar's body in price units.
shadowSize(_direction)
Size of the current bar shadow. Either "top" or "bottom".
Parameters:
_direction: (string) Direction of the desired shadow.
Returns: (float) The size of the chosen bar's shadow in price units.
shadowBodyRatio(_direction)
Proportion of current bar shadow to the bar size
Parameters:
_direction: (string) Direction of the desired shadow.
Returns: (float) Ratio of the shadow size per body size.
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Ratio of the body size per close price.
lastDayOfMonth(_month)
Returns the last day of a month.
Parameters:
_month: (int) Month number.
Returns: (int) The number (28, 30 or 31) of the last day of a given month.
nameOfMonth(_month)
Return the short name of a month.
Parameters:
_month: (int) Month number.
Returns: (string) The short name ("Jan", "Feb"...) of a given month.
pl(_initialValue, _finalValue)
Calculate Profit/Loss between two values.
Parameters:
_initialValue: (float) Initial value.
_finalValue: (float) Final value = Initial value + delta.
Returns: (float) Profit/Loss as a percentual change.
gma(_Type, _Source, _Length)
Generalist Moving Average (GMA).
Parameters:
_Type: (string) Type of average to be used. Either "EMA", "HMA", "RMA", "SMA", "SWMA", "WMA" or "VWMA".
_Source: (series float) Series of values to process.
_Length: (simple int) Number of bars (length).
Returns: (float) The value of the chosen moving average.
xFormat(_percentValue, _minXFactor)
Transform a percentual value in a X Factor value.
Parameters:
_percentValue: (float) Percentual value to be transformed.
_minXFactor: (float) Minimum X Factor to that the conversion occurs. Optional. Default = 10.
Returns: (string) A formated string.
isLong()
Check if the open trade direction is long.
Returns: (bool) True if the open position is long.
isShort()
Check if the open trade direction is short.
Returns: (bool) True if the open position is short.
lastPrice()
Returns the entry price of the last openned trade.
Returns: (float) The last entry price.
barsSinceLastEntry()
Returns the number of bars since last trade was oppened.
Returns: (series int)
getBotNameFrosty()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getBotNameZig()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getTicksValue(_currencyValue)
Converts currency value to ticks
Parameters:
_currencyValue: (float) Value to be converted.
Returns: (float) Value converted to minticks.
getSymbol(_botName, _botCustomSymbol)
Formats the symbol string to be used with a bot
Parameters:
_botName: (string) Bot name constant. Either BOT_NAME_FROSTY or BOT_NAME_ZIG. Optional. Default is empty string.
_botCustomSymbol: (string) Custom string. Optional. Default is empy string.
Returns: (string) A string containing the symbol for the bot. If all arguments are empty, the current symbol is returned in Binance format.
showProfitLossBoard()
Calculates and shows a board of Profit/Loss through the years.
Returns: Nothing.
Kage's Miscelaneous library
print(_value)
Print a numerical value in a label at last historical bar.
Parameters:
_value: (float) The value to be printed.
Returns: Nothing.
barsBackToDate(_year, _month, _day)
Get the number of bars we have to go back to get data from a specific date.
Parameters:
_year: (int) Year of the specific date.
_month: (int) Month of the specific date. Optional. Default = 1.
_day: (int) Day of the specific date. Optional. Default = 1.
Returns: (int) Number of bars to go back until reach the specific date.
bodySize(_index)
Calculates the size of the bar's body.
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) The size of the bar's body in price units.
shadowSize(_direction)
Size of the current bar shadow. Either "top" or "bottom".
Parameters:
_direction: (string) Direction of the desired shadow.
Returns: (float) The size of the chosen bar's shadow in price units.
shadowBodyRatio(_direction)
Proportion of current bar shadow to the bar size
Parameters:
_direction: (string) Direction of the desired shadow.
Returns: (float) Ratio of the shadow size per body size.
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Ratio of the body size per close price.
lastDayOfMonth(_month)
Returns the last day of a month.
Parameters:
_month: (int) Month number.
Returns: (int) The number (28, 30 or 31) of the last day of a given month.
nameOfMonth(_month)
Return the short name of a month.
Parameters:
_month: (int) Month number.
Returns: (string) The short name ("Jan", "Feb"...) of a given month.
pl(_initialValue, _finalValue)
Calculate Profit/Loss between two values.
Parameters:
_initialValue: (float) Initial value.
_finalValue: (float) Final value = Initial value + delta.
Returns: (float) Profit/Loss as a percentual change.
gma(_Type, _Source, _Length)
Generalist Moving Average (GMA).
Parameters:
_Type: (string) Type of average to be used. Either "EMA", "HMA", "RMA", "SMA", "SWMA", "WMA" or "VWMA".
_Source: (series float) Series of values to process.
_Length: (simple int) Number of bars (length).
Returns: (float) The value of the chosen moving average.
xFormat(_percentValue, _minXFactor)
Transform a percentual value in a X Factor value.
Parameters:
_percentValue: (float) Percentual value to be transformed.
_minXFactor: (float) Minimum X Factor to that the conversion occurs. Optional. Default = 10.
Returns: (string) A formated string.
isLong()
Check if the open trade direction is long.
Returns: (bool) True if the open position is long.
isShort()
Check if the open trade direction is short.
Returns: (bool) True if the open position is short.
lastPrice()
Returns the entry price of the last openned trade.
Returns: (float) The last entry price.
barsSinceLastEntry()
Returns the number of bars since last trade was oppened.
Returns: (series int)
getBotNameFrosty()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getBotNameZig()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getTicksValue(_currencyValue)
Converts currency value to ticks
Parameters:
_currencyValue: (float) Value to be converted.
Returns: (float) Value converted to minticks.
getSymbol(_botName, _botCustomSymbol)
Formats the symbol string to be used with a bot
Parameters:
_botName: (string) Bot name constant. Either BOT_NAME_FROSTY or BOT_NAME_ZIG. Optional. Default is empty string.
_botCustomSymbol: (string) Custom string. Optional. Default is empy string.
Returns: (string) A string containing the symbol for the bot. If all arguments are empty, the current symbol is returned in Binance format.
showProfitLossBoard()
Calculates and shows a board of Profit/Loss through the years.
Returns: Nothing.
Nota Keluaran
v2Wrong backtest removal. Sorry for any trouble.
Nota Keluaran
v3Added:
barSize(_index)
Calculates the size of the bar with both shadows.
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) The size of the bar in price units.
barBodyRatio(_index)
Proportion of chosen bar size to the body size
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Percent ratio of the body size per close price.
Updated:
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Percent ratio of the body size per close price.
Nota Keluaran
v4Nota Keluaran
v5Added:
bodyStoch(_index, _length)
A stochastic meassure for the the body size
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
_length: (simple int) How many bars look back to stochastic calculus. Default = 0.
Returns: (float) Percent ratio of the body stochastic measure.
Updated:
bodyBarRatio(_index)
Proportion of chosen bar size to the body size
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) Percent ratio of the body size per close price.
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index: (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) Percent ratio of the body size per close price.
Nota Keluaran
v6Added:
barsSinceTradeEntry(_tradeIndex, _type)
Returns the number of bars since the chosen trade's entry
Parameters:
_tradeIndex: (int) Trade index from wich the information is wanted
_type: (string) Type of trade. "O" for open trade or "C" for closed trade. Optional. Default is "O"
Returns: (series int) Number of bars
Perpustakaan Pine
Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai satu perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod dalam penerbitan ini adalah dikawal oleh Peraturan dalaman.
Penafian
Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.