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Update jupyter notebook slightly
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@ -154,7 +154,8 @@ If the day shows the same day, then the last candle can be assumed as incomplete
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To keep the jupyter notebooks aligned with the documentation, the following should be ran after updating a example notebook.
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``` bash
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jupyter nbconvert --to markdown user_data/notebooks/strategy_analysis_example.ipynb --stdout > docs/strategy_analysis_example.md
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jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace user_data/notebooks/strategy_analysis_example.ipynb
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jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to markdown user_data/notebooks/strategy_analysis_example.ipynb --stdout > docs/strategy_analysis_example.md
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```
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## Creating a release
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@ -1,31 +1,12 @@
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## Strategy debugging example
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# Strategy analysis example
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Debugging a strategy can be time-consuming. FreqTrade offers helper functions to visualize raw data.
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## Setup
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```python
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# Change directory
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# Modify this cell to insure that the output shows the correct path.
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import os
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from pathlib import Path
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# Define all paths relative to the project root shown in the cell output
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project_root = "somedir/freqtrade"
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i=0
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try:
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os.chdirdir(project_root)
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assert Path('LICENSE').is_file()
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except:
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while i<4 and (not Path('LICENSE').is_file()):
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os.chdir(Path(Path.cwd(), '../'))
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i+=1
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project_root = Path.cwd()
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print(Path.cwd())
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```
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```python
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# Customize these according to your needs.
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# Define some constants
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@ -33,9 +14,9 @@ ticker_interval = "5m"
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# Name of the strategy class
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strategy_name = 'SampleStrategy'
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# Path to user data
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user_data_dir = 'user_data'
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user_data_dir = Path('user_data')
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# Location of the strategy
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strategy_location = Path(user_data_dir, 'strategies')
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strategy_location = user_data_dir / 'strategies'
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# Location of the data
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data_location = Path(user_data_dir, 'data', 'binance')
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# Pair to analyze - Only use one pair here
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@ -45,7 +26,6 @@ pair = "BTC_USDT"
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```python
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# Load data using values set above
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from pathlib import Path
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from freqtrade.data.history import load_pair_history
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candles = load_pair_history(datadir=data_location,
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@ -4,7 +4,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Strategy debugging example\n",
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"# Strategy analysis example\n",
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"\n",
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"Debugging a strategy can be time-consuming. FreqTrade offers helper functions to visualize raw data."
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]
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@ -22,31 +22,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# Change directory\n",
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"# Modify this cell to insure that the output shows the correct path.\n",
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"import os\n",
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"from pathlib import Path\n",
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"\n",
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"# Define all paths relative to the project root shown in the cell output\n",
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"project_root = \"somedir/freqtrade\"\n",
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"i=0\n",
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"try:\n",
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" os.chdirdir(project_root)\n",
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" assert Path('LICENSE').is_file()\n",
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"except:\n",
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" while i<4 and (not Path('LICENSE').is_file()):\n",
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" os.chdir(Path(Path.cwd(), '../'))\n",
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" i+=1\n",
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" project_root = Path.cwd()\n",
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"print(Path.cwd())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Customize these according to your needs.\n",
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"\n",
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"# Define some constants\n",
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@ -54,9 +30,9 @@
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"# Name of the strategy class\n",
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"strategy_name = 'SampleStrategy'\n",
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"# Path to user data\n",
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"user_data_dir = 'user_data'\n",
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"user_data_dir = Path('user_data')\n",
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"# Location of the strategy\n",
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"strategy_location = Path(user_data_dir, 'strategies')\n",
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"strategy_location = user_data_dir / 'strategies'\n",
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"# Location of the data\n",
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"data_location = Path(user_data_dir, 'data', 'binance')\n",
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"# Pair to analyze - Only use one pair here\n",
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@ -70,7 +46,6 @@
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"outputs": [],
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"source": [
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"# Load data using values set above\n",
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"from pathlib import Path\n",
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"from freqtrade.data.history import load_pair_history\n",
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"\n",
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"candles = load_pair_history(datadir=data_location,\n",
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@ -161,7 +136,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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"version": "3.7.4"
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},
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"mimetype": "text/x-python",
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"name": "python",
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@ -212,5 +187,5 @@
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"version": 3
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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