added imports to doc code blocks.
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@ -9,6 +9,7 @@ You can analyze the results of backtests and trading history easily using Jupyte
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### Load backtest results into a pandas dataframe
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```python
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from freqtrade.data.btanalysis import load_backtest_data
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# Load backtest results
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df = load_backtest_data("user_data/backtest_data/backtest-result.json")
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@ -19,6 +20,8 @@ df.groupby("pair")["sell_reason"].value_counts()
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### Load live trading results into a pandas dataframe
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``` python
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from freqtrade.data.btanalysis import load_trades_from_db
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# Fetch trades from database
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df = load_trades_from_db("sqlite:///tradesv3.sqlite")
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@ -38,13 +41,11 @@ from pathlib import Path
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import os
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from freqtrade.data.history import load_pair_history
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.data.btanalysis import load_backtest_data
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from freqtrade.data.btanalysis import load_trades_from_db
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# Define some constants
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ticker_interval = "1m"
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ticker_interval = "5m"
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# Name of the strategy class
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strategy_name = 'NewStrategy'
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strategy_name = 'AwesomeStrategy'
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# Path to user data
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user_data_dir = 'user_data'
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# Location of the strategy
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@ -116,7 +116,7 @@
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"# Define some constants\n",
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"ticker_interval = \"5m\"\n",
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"# Name of the strategy class\n",
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"strategy_name = 'NewStrategy'\n",
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"strategy_name = 'AwesomeStrategy'\n",
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"# Path to user data\n",
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"user_data_dir = 'user_data'\n",
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"# Location of the strategy\n",
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