In the last post, I had discussed the Fibonacci Bollinger Bands and its implementation on the TradingView platform through pinescript. If you want to implement the indicator in python, you can use BackTrader module for backtesting and quick development and implementation of any indicator script in python.
Below is the code in Python for implementing the indicator Fibonacci Bollinger Bands through backtrader module.
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import backtrader as bt # Create a Stratey class FiboBB(bt.Indicator): alias = ('FiboBB',) lines = ('mid', 't1','t2','t3','t4','t5','t6', 'b1','b2','b3','b4','b5','b6',) params = ( ('period', 50), # Look Back Period ('devfactor', 3.0), # standard dev. for extreme lines ('movav', bt.ind.MovingAverageSimple), ) plotinfo = dict( subplot=False, plotlinelabels=False, ) plotlines = dict( mid=dict(ls='--'), t1=dict(_samecolor=True), t2=dict(_samecolor=True), t3=dict(_samecolor=True), t4=dict(_samecolor=True), t5=dict(_samecolor=True), t6=dict(_samecolor=True), b1=dict(_samecolor=True), b2=dict(_samecolor=True), b3=dict(_samecolor=True), b4=dict(_samecolor=True), b5=dict(_samecolor=True), b6=dict(_samecolor=True), ) def __init__(self): self.lines.mid = ma = self.p.movav(self.data, period=self.p.period) stddev = self.p.devfactor * bt.ind.StandardDeviation(self.data, ma, period=self.p.period, movav=self.p.movav) self.lines.t1 = ma + stddev self.lines.t2 = ma + stddev*.764 self.lines.t3 = ma + stddev*.618 self.lines.t4 = ma + stddev*.5 self.lines.t5 = ma + stddev*.382 self.lines.t6 = ma + stddev*.236 self.lines.b1 = ma - stddev self.lines.b2 = ma - stddev*.764 self.lines.b3 = ma - stddev*.618 self.lines.b4 = ma - stddev*.5 self.lines.b5 = ma - stddev*.382 self.lines.b6 = ma - stddev*.236 super(FiboBB, self).__init__() class MyStrategy(bt.Strategy): def __init__(self): self.FiboBBLines = FiboBB(self.data) if __name__ == '__main__': cerebro = bt.Cerebro(stdstats=False) data = bt.feeds.YahooFinanceCSVData(dataname='AAPL.csv') cerebro.adddata(data) cerebro.addstrategy(MyStrategy) cerebro.run() cerebro.plot(style='candlestick',bardown='black',barupfill = False,bartrans = 1.0,barup='black',volume=False) |
The resultant plot for Fibonacci Bollinger Band is shown below:
If you are new to the backtrader module of python or have no prior experience of coding in python or any other programming language. I strongly suggest you consider the Backtrader book provided in the resource section. The book has been written for traders with no prior experience of coding or programming in any language.
You can also download code from "backtraders/backtraderIndicators" on git hub
