'i$nddlmZmZmZmZddlmZmZGddeZGddeZ Gdd eZ y ) )absolute_importdivisionprint_functionunicode_literals) IndicatorCmpExcBeZdZdZdZedZdZdZfdZ xZ S) PivotPointa: Defines a level of significance by taking into account the average of price bar components of the past period of a larger timeframe. For example when operating with days, the values are taking from the already "past" month fixed prices. Example of using this indicator: data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days) cerebro.adddata(data) cerebro.resampledata(data, timeframe=bt.TimeFrame.Months) In the ``__init__`` method of the strategy: pivotindicator = btind.PivotPoiont(self.data1) # the resampled data The indicator will try to automatically plo to the non-resampled data. To disable this behavior use the following during construction: - _autoplot=False Note: The example shows *days* and *months*, but any combination of timeframes can be used. See the literature for recommended combinations Formula: - pivot = (h + l + c) / 3 # variants duplicate close or add open - support1 = 2.0 * pivot - high - support2 = pivot - (high - low) - resistance1 = 2.0 * pivot - low - resistance2 = pivot + (high - low) See: - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points - https://en.wikipedia.org/wiki/Pivot_point_(technical_analysis) )ps1s2r1r2Fsubplot)openFcloseF _autoplotTc|jjr=t|jdr&|jj|j_yyyNdatar rhasattrrplotinfo plotmasterselfs ^/var/www/app/trading-bot/venv/lib/python3.12/site-packages/backtrader/indicators/pivotpoint.py _plotinitzPivotPoint._plotinitJ; 66  tyy&)+/99>> (* c|jj}|jj}|jj}|jj}|j jr ||zd|zzdz x|j _}nR|j jr ||z|z|zdz x|j _}n||z|zdz x|j _}d|z|z |j _d|z|z |j _|||z z |j _ |||z z|j _ tt|7|j jrd|j_|yyN@@g@F)rrhighlowrr linesr rrrsuperr __init__rrplotr!ohlcr __class__s r"r.zPivotPoint.__init__Ps( IINN IINN IIMM IIOO 66<< !Aa36 6DJJL1 VV[[ !A A 4 4DJJL1 !A S0 0DJJL1a!  a!  QU  QU   j$(* 66  !&DMM  F r% __name__ __module__ __qualname____doc__r,dictrparamsr#r. __classcell__r5s@r"r r s0$J +EE"HF : r%r cBeZdZdZdZedZdZdZfdZ xZ S)FibonacciPivotPointa( Defines a level of significance by taking into account the average of price bar components of the past period of a larger timeframe. For example when operating with days, the values are taking from the already "past" month fixed prices. Fibonacci levels (configurable) are used to define the support/resistance levels Example of using this indicator: data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days) cerebro.adddata(data) cerebro.resampledata(data, timeframe=bt.TimeFrame.Months) In the ``__init__`` method of the strategy: pivotindicator = btind.FibonacciPivotPoiont(self.data1) # the resampled data The indicator will try to automatically plo to the non-resampled data. To disable this behavior use the following during construction: - _autoplot=False Note: The example shows *days* and *months*, but any combination of timeframes can be used. See the literature for recommended combinations Formula: - pivot = (h + l + c) / 3 # variants duplicate close or add open - support1 = p - level1 * (high - low) # level1 0.382 - support2 = p - level2 * (high - low) # level2 0.618 - support3 = p - level3 * (high - low) # level3 1.000 - resistance1 = p + level1 * (high - low) # level1 0.382 - resistance2 = p + level2 * (high - low) # level2 0.618 - resistance3 = p + level3 * (high - low) # level3 1.000 See: - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points )r r rs3rrr3Frrrr)level1g r?)level2g-?)level3g?c|jjr=t|jdr&|jj|j_yyyrrr s r"r#zFibonacciPivotPoint._plotinitr$r%cp|jj}|jj}|jj}|jj}|j jr ||zd|zzdz x|j _}nR|j jr ||z|z|zdz x|j _}n||z|zdz x|j _}||j j||z zz |j _||j j||z zz |j _ ||j j||z zz |j _ ||j j||z zz|j _ ||j j||z zz|j _||j j||z zz|j _t t"|K|j j&rd|j(_|yyr')rrr*r+rr r,rDr rErrFrArrrBr-r@r.rrr/r0s r"r.zFibonacciPivotPoint.__init__s IINN IINN IIMM IIOO 66<< !Aa36 6DJJL1 VV[[ !A A 4 4DJJL1 !A S0 0DJJL1DFFMMQU33 DFFMMQU33 DFFMMQU33 DFFMMQU33 DFFMMQU33 DFFMMQU33  !413 66  !&DMM  F r%r6r>s@r"r@r@js0'P 6EE"HF: r%r@cBeZdZdZdZedZdZdZfdZ xZ S)DemarkPivotPointa Defines a level of significance by taking into account the average of price bar components of the past period of a larger timeframe. For example when operating with days, the values are taking from the already "past" month fixed prices. Example of using this indicator: data = btfeeds.ADataFeed(dataname=x, timeframe=bt.TimeFrame.Days) cerebro.adddata(data) cerebro.resampledata(data, timeframe=bt.TimeFrame.Months) In the ``__init__`` method of the strategy: pivotindicator = btind.DemarkPivotPoiont(self.data1) # the resampled data The indicator will try to automatically plo to the non-resampled data. To disable this behavior use the following during construction: - _autoplot=False Note: The example shows *days* and *months*, but any combination of timeframes can be used. See the literature for recommended combinations Formula: - if close < open x = high + (2 x low) + close - if close > open x = (2 x high) + low + close - if Close == open x = high + low + (2 x close) - p = x / 4 - support1 = x / 2 - high - resistance1 = x / 2 - low See: - http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:pivot_points )r r rFrrCc|jjr=t|jdr&|jj|j_yyyrrr s r"r#zDemarkPivotPoint._plotinitr$r%ct|jjd|jjzz|jjz}d|jjz|jjz|jjz}|jj|jjzd|jjzz}t |jj|jj |||}|dz |j _|dz |jjz |j _|dz |jjz |j _ tt|3|jjrd|j_|yy)Nr(r)F)rr*r+rr rr,r r rr-rJr.rrr/)r!x1x2x3xr5s r"r.zDemarkPivotPoint.__init__s! YY^^cDIIMM1 1DIIOO C 499>> !DIIMM 1DIIOO C YY^^diimm +cDIIOO.C C $))//499>>2r2 >3w C$))..0 C$))--/  .0 66  !&DMM  F r%r6r>s@r"rJrJs0(R EE"HF: r%rJN) __future__rrrrrr r r@rJr%r"rTs@***LL^S)SlJyJr%