cTraderFixPy
backtesting.py
| cTraderFixPy | backtesting.py | |
|---|---|---|
| 1 | 25 | |
| 35 | 4,846 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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cTraderFixPy
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Spotware Community Team Releases FIX API Python Examples
Our community team is happy to announce the release of a collection of examples demonstrating how to use Python with cTrader FIX API! Now it becomes much easier for you to use the FIX API with one of the most popular programming languages. The examples include a console application, a web application and a Jupyter Notebook. You can access the code samples from the project’s GitHub repository or download the package from PyPi.
backtesting.py
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Python developers -- what broker and api do you use?
We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.
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How do you backtest with IBKR Data?
The process might vary a bit based on what you want to trade, but I've had some success with back-testing by using the IBKR API to download historical data for the stocks I want, then plugging in that data to some other back-testing framework, like https://kernc.github.io/backtesting.py/
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Anyone here built backtest/alpha visualization/exploration dashboard(s)?
https://kernc.github.io/backtesting.py/ offers nice way to zoom backtesting. It has some bugs, but good for visualization.
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What platform do you use to backtest historical millisecond tick data?
Are there any free trading platform options to import and backtest millisecond historical tick data? Do you use something like https://github.com/kernc/backtesting.py and then translate algorithms into mql4/5 or pinescript?
- GitHub - kernc/backtesting.py: Backtest trading strategies in Python.
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Where/how do I “import backtesting” and other programs? TY!
But even if you don't know that, you can Google the library to find its documentation and installation instructions - in this case, here where it does indeed tell you to run pip install backtesting.
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What are your 2022 success stories? It's been a long year. You deserve to brag.
Sure. My strategy is actually very simple using common indicators like MACD and RSI. Most of the code is actually based on https://github.com/kernc/backtesting.py and I use it to check whether I should buy or sell on a particular day. Hope this helps!
- Backtesting.py - interpreting the generated chart
- How hard would this be?
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Bot development best practices for making backtesting easier?
I'm leaning towards using the backtesting.py library, but from the example on their main page, it looks like you need to program your strategy using their library?
What are some alternatives?
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