# Bt flexible backtesting for python how to get total portfolio value result f

When it comes to backtesting in Python, there are several ways to obtain the total portfolio value result. In this article, we will explore three different options and determine which one is the best.

## Option 1: Using a For Loop

``````
portfolio_value = 0
``````

In this option, we initialize the portfolio_value variable to 0 and then iterate through each trade in the trades list. We add the value of each trade to the portfolio_value variable. At the end of the loop, portfolio_value will contain the total portfolio value result.

## Option 2: Utilizing the sum() Function

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This option takes advantage of the sum() function in Python. We use a generator expression to extract the value of each trade in the trades list and pass it to the sum() function. The sum() function then calculates the total portfolio value result.

## Option 3: Utilizing the reduce() Function

``````
from functools import reduce
portfolio_value = reduce(lambda x, y: x + y['value'], trades, 0)
``````

In this option, we import the reduce() function from the functools module. We use a lambda function to specify the addition operation between the accumulated value (x) and the value of each trade (y). The reduce() function applies this lambda function to each element in the trades list, accumulating the total portfolio value result.

After analyzing these three options, it is clear that Option 2, utilizing the sum() function, is the best choice. It is concise, efficient, and provides a straightforward solution to obtain the total portfolio value result. Therefore, Option 2 is recommended for solving this Python question.

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### 3 Responses

1. Alaina Hartman says:

Option 2 all the way! Sum() function is like a smooth jazz melody, so easy and elegant! 🎷🎶

2. Amora Clark says:

Option 2 seems efficient, but Id love to see some real-life examples of using reduce() function. 🧐

3. Amani Price says:

Option 2 is the way to go! Sum() function brings simplicity and efficiency. Who needs loops? 🙌