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Jonathan Raviotta 2019-08-09 11:53:29 -04:00
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docs/data-analysis.md
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You can analyze the results of backtests and trading history easily using Jupyter notebooks. A sample notebook is located at `user_data/notebooks/analysis_example.ipynb`. For usage instructions, see [jupyter.org](https://jupyter.org/documentation).
*Pro tip - Don't forget to start a jupyter notbook server from within your conda or venv environment or use [nb_conda_kernels](https://github.com/Anaconda-Platform/nb_conda_kernels)*
## Example snippets
### Load backtest results into a pandas dataframe

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user_data/notebooks/analysis_example.ipynb
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"source": [
"# Analyzing bot data\n",
"\n",
"You can analyze the results of backtests and trading history easily using Jupyter notebooks. A sample notebook is located at `user_data/notebooks/analysis_example.ipynb`. For usage instructions, see [jupyter.org](https://jupyter.org/documentation)."
"You can analyze the results of backtests and trading history easily using Jupyter notebooks. \n",
"**Copy this file so your changes don't get clobbered with the next freqtrade update!** \n",
"For usage instructions, see [jupyter.org](https://jupyter.org/documentation). \n",
"*Pro tip - Don't forget to start a jupyter notbook server from within your conda or venv environment or use [nb_conda_kernels](https://github.com/Anaconda-Platform/nb_conda_kernels)*\n",
"\n",
"\n"
]
},
{