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You're reading from  Python Algorithmic Trading Cookbook

Product typeBook
Published inAug 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838989354
Edition1st Edition
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Author (1)
Pushpak Dagade
Pushpak Dagade
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Pushpak Dagade

Pushpak Dagade is working in the area of algorithmic trading with Python for more than 3 years. He is a co-founder and CEO of AlgoBulls, an algorithmic trading platform.
Read more about Pushpak Dagade

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EMA-Regular-Order strategy – fetching a paper trading report – statistics table

After submitting a paper trading job on the AlgoBulls platform, the AlgoBulls paper trading engine starts executing the strategy. During the execution, along with the logs and the P&L table, the AlgoBulls paper trading engine also generates a summary from the P&L table in real time. This summary is a table of statistics containing various statistical numbers, such as Net P&L (absolute and percentage), Max Drawdown (absolute and percentage), the count of total trades, winning trades, losing trades, long trades, and short trades, maximum gain and minimum gain (or maximum loss), and the average profit per winning and losing trade. This table gives an instant overview of the overall strategy performance.

In this recipe, you will fetch the statistics table report for your strategy. This report is available as soon as the first trade is punched by your strategy after you submit a paper...

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Python Algorithmic Trading Cookbook
Published in: Aug 2020Publisher: PacktISBN-13: 9781838989354

Author (1)

author image
Pushpak Dagade

Pushpak Dagade is working in the area of algorithmic trading with Python for more than 3 years. He is a co-founder and CEO of AlgoBulls, an algorithmic trading platform.
Read more about Pushpak Dagade