PYTHON PROGRAMMING FOR FINANCIAL ANALYSIS: A Beginner’s Guide to mastering Data-Driven Insights with Pandas, NumPy, SciPy, and Matplotlib for Smarter Investments by Starling Holden f

Author:Starling, Holden f.
Language: eng
Format: epub
Publisher: UNKNOWN
Published: 2025-03-22T00:00:00+00:00

Backtrader is one of the most popular Python frameworks for backtesting and developing trading strategies. It enables traders to test strategies against historical data before deploying them in real markets.

Installing Backtrader

pip install backtrader

Basic Backtrader Strategy import backtrader as bt

class SimpleStrategy(bt.Strategy): def __init__(self):

self.sma = bt.indicators.SimpleMovingAverage(period=20)

def next(self):

if self.data.close[0] > self.sma[0]: self.buy()

elif self.data.close[0] < self.sma[0]: self.sell()

cerebro = bt.Cerebro()

data = bt.feeds.GenericCSVData(dataname='historical_ data.csv', dtformat='%Y-%m-%d')

cerebro.adddata(data)

cerebro.addstrategy(SimpleStrategy)

cerebro.run()

cerebro.plot()

This script loads historical data, applies a simple moving average strategy, and visualizes the backtesting results.

Download

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