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Python Trading Strategies | How to Backtest a Trading Strategy in Python?
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Link to the notebook -
This video focuses on the ways to backtest your trading strategy, even if you do not know to code.
There are 3 ways to backtest trading strategy:
Use pre-existing Python Library for backtesting i.e Backtrader.
Code your own Backtester
Use cloud-based research engines like BLUESHIFT - A Free backtesting platform
While starting algorithmic trading you might have strategies in hand from prior experiences with manual trading and want to backtest them, to understand how they perform. For that, you can either use pre-existing libraries like Backtrader, a Python package or a Free backtesting platform named Blueshift.
Method #1 - Using pre-existing libraries like Backtrader
You can easily install Backtrader and do your backtesting or you can code your own practice.
Method #2 - Backtesting your own code
Backtesting on your own code is the most optimum way because you have full control of it and you can also change the way the backtest is done, which is exactly what is taught to you in the course Python for Trading! In this course we have a separate section on backtesting and and code is available there. We created several functions to create signals create strategies, practised them across several years and analyzed the performance. You can find the link below.
Method #2 - Use Cloud-based research engines like BLUESHIFT
Another way is to use Cloud-based research engines like BLUESHIFT, where everything is coded for you. You just need to code your strategy and select options to back to the showroom period. The video shares a glimpse of Blueshift and the link is provided below.
If you have any queries feel free to mention them in the comment section, and Keep Learning!
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Recommended resources for learning
✔️ Introduction to Blueshift
✔️ Steps to Backtest Your Trading Strategy | Python for Machine Learning in Finance | Free Course
✔️ Python for Trading: Basic | FREE
✔️ Introduction to Python in Trading | Beginners Guide
✔️ Backtesting And Live Trading | Blueshift Visual Programming Tutorial
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Important Reads
💻 Backtesting Trading Strategies Course
💹 Learn How to Backtest and Its Strategies
📊 Learn Machine Learning Strategy using Blueshift
📗 Mistakes to Avoid while Backtesting
--------------------------------------------------------------------
#backtest #backtesting #backtesttradingstrategy #pythonfortrading
Link to the notebook -
This video focuses on the ways to backtest your trading strategy, even if you do not know to code.
There are 3 ways to backtest trading strategy:
Use pre-existing Python Library for backtesting i.e Backtrader.
Code your own Backtester
Use cloud-based research engines like BLUESHIFT - A Free backtesting platform
While starting algorithmic trading you might have strategies in hand from prior experiences with manual trading and want to backtest them, to understand how they perform. For that, you can either use pre-existing libraries like Backtrader, a Python package or a Free backtesting platform named Blueshift.
Method #1 - Using pre-existing libraries like Backtrader
You can easily install Backtrader and do your backtesting or you can code your own practice.
Method #2 - Backtesting your own code
Backtesting on your own code is the most optimum way because you have full control of it and you can also change the way the backtest is done, which is exactly what is taught to you in the course Python for Trading! In this course we have a separate section on backtesting and and code is available there. We created several functions to create signals create strategies, practised them across several years and analyzed the performance. You can find the link below.
Method #2 - Use Cloud-based research engines like BLUESHIFT
Another way is to use Cloud-based research engines like BLUESHIFT, where everything is coded for you. You just need to code your strategy and select options to back to the showroom period. The video shares a glimpse of Blueshift and the link is provided below.
If you have any queries feel free to mention them in the comment section, and Keep Learning!
--------------------------------------------------------------------
Recommended resources for learning
✔️ Introduction to Blueshift
✔️ Steps to Backtest Your Trading Strategy | Python for Machine Learning in Finance | Free Course
✔️ Python for Trading: Basic | FREE
✔️ Introduction to Python in Trading | Beginners Guide
✔️ Backtesting And Live Trading | Blueshift Visual Programming Tutorial
--------------------------------------------------------------------
Important Reads
💻 Backtesting Trading Strategies Course
💹 Learn How to Backtest and Its Strategies
📊 Learn Machine Learning Strategy using Blueshift
📗 Mistakes to Avoid while Backtesting
--------------------------------------------------------------------
#backtest #backtesting #backtesttradingstrategy #pythonfortrading
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