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.
發布通知:
v2
Wrong backtest removal. Sorry for any trouble.
Wrong backtest removal. Sorry for any trouble.
發布通知:
v3
Added:
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.
Added:
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.
發布通知:
v4
發布通知:
v5
Added:
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.
Added:
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.
發布通知:
v6
Added:
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
Added:
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