'iddlmZmZmZmZddlmZmZmZm Z m Z m Z GddeZ Gdde Z Gdd e ZGd d e Zy ) )absolute_importdivisionprint_functionunicode_literals) IndicatorMaxMovAvHighestLowest DivByZeroceZdZdZdddej fddddfZeed d ed ZdZ dZ fdZ xZ S)_StochasticBase)percKpercD)period) period_dfastmovav) upperbandgT@) lowerbandg4@)safedivF)safezerogz%Dz--)_namelsz%Kr)rrc|jj|jjg}||jjg|jj dzz }|SNr)prrr notdefaultselfplabelss ^/var/www/app/trading-bot/venv/lib/python3.12/site-packages/backtrader/indicators/stochastic.py _plotlabelz_StochasticBase._plotlabel$sK66==$&&"5"56DFFLL>DFF$5$5g$>>>cz|jj|jjg|j_yN)r rrplotinfo plotyhlines)r#s r% _plotinitz_StochasticBase._plotinit)s'%)VV%5%5tvv7G7G$H !r'cVt|jj|jj}t |jj |jj}|jj|z }||z }|jjr+dt|||jjz|_ n d||z z|_ |jj|j|jj|_tt |Gy)NrgY@)zero)r datahighr rr lowcloserr rkrrdsuperr__init__)r# highesthigh lowestlowknumkden __class__s r%r7z_StochasticBase.__init__,sdiinnTVV]]C 499==? yy*Y& 66>>YtTHHDFdTk*DFdffTVV-@-@A ot-/r') __name__ __module__ __qualname__linesr Simpleparamsdict plotlinesr&r,r7 __classcell__r<s@r%rrs^ E1GU\\3J!#6 "35F4dt4d+-I I 0 0r'rc"eZdZdZfdZxZS)StochasticFasta By Dr. George Lane in the 50s. It compares a closing price to the price range and tries to show convergence if the closing prices are close to the extremes - It will go up if closing prices are close to the highs - It will roughly go down if closing prices are close to the lows It shows divergence if the extremes keep on growing but closing prices do not in the same manner (distance to the extremes grow) Formula: - hh = highest(data.high, period) - ll = lowest(data.low, period) - knum = data.close - ll - kden = hh - ll - k = 100 * (knum / kden) - d = MovingAverage(k, period_dfast) See: - http://en.wikipedia.org/wiki/Stochastic_oscillator ctt| |j|j_|j |j_yr))r6rHr7r4r@rr5rr#r<s r%r7zStochasticFast.__init__Qs0 nd,.66 66 r')r=r>r?__doc__r7rErFs@r%rHrH:s,""r'rHc0eZdZdZdZdZdZfdZxZS) Stochastica The regular (or slow version) adds an additional moving average layer and thus: - The percD line of the StochasticFast becomes the percK line - percD becomes a moving average of period_dslow of the original percD Formula: - k = k - d = d - d = MovingAverage(d, period_dslow) See: - http://en.wikipedia.org/wiki/Stochastic_oscillator )StochasticSlow) period_dslowrc|jj|jj|jjg}||jjg|jj dzz }|Srr rrrPrr!r"s r%r&zStochastic._plotlabeljW66==$&&"5"5tvv7J7JKDFFLL>DFF$5$5g$>>>r'ctt| |j|j_|j j|jj |j j|j_ yNr.) r6rMr7r5r@rr rlrPrrJs r%r7zStochastic.__init__osN j$(*66 vv||DFFLL9L9L|M r') r=r>r?rKaliasrBr&r7rErFs@r%rMrMWs% E #F NNr'rMcPeZdZdZdZdZeedZdZfdZ xZ S)StochasticFullz This version displays the 3 possible lines: - percK - percD - percSlow Formula: - k = d - d = MovingAverage(k, period_dslow) - dslow = See: - http://en.wikipedia.org/wiki/Stochastic_oscillator ) percDSlowrOz%DSlowrc|jj|jj|jjg}||jjg|jj dzz }|SrrRr"s r%r&zStochasticFull._plotlabelrSr'c>tt| |j|j_|j |j_|jj|jj|jj|j_ yrU) r6rYr7r4r@rr5rr rrVrPrZrJs r%r7zStochasticFull.__init__se nd,.66 66 66<< FFLL!4!4(6r') r=r>r?rKr@rBrCrDr&r7rErFs@r%rYrYus2 E #Ft(34I 66r'rYN) __future__rrrrrr r r r r rrHrMrYr'r%r`sJ***@?0i0>"_":NN<6_6r'