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Merge pull request #3000 from freqtrade/fix/jupyter_example
[minor] Fix jupyter notebook example
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commit
e20b06408c
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@ -121,7 +121,6 @@ from freqtrade.data.btanalysis import analyze_trade_parallelism
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# Analyze the above
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parallel_trades = analyze_trade_parallelism(trades, '5m')
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parallel_trades.plot()
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```
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@ -134,11 +133,14 @@ Freqtrade offers interactive plotting capabilities based on plotly.
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from freqtrade.plot.plotting import generate_candlestick_graph
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# Limit graph period to keep plotly quick and reactive
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# Filter trades to one pair
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trades_red = trades.loc[trades['pair'] == pair]
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data_red = data['2019-06-01':'2019-06-10']
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# Generate candlestick graph
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graph = generate_candlestick_graph(pair=pair,
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data=data_red,
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trades=trades,
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trades=trades_red,
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indicators1=['sma20', 'ema50', 'ema55'],
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indicators2=['rsi', 'macd', 'macdsignal', 'macdhist']
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)
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@ -190,7 +190,6 @@
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"# Analyze the above\n",
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"parallel_trades = analyze_trade_parallelism(trades, '5m')\n",
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"\n",
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"\n",
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"parallel_trades.plot()"
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]
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},
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@ -212,11 +211,14 @@
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"from freqtrade.plot.plotting import generate_candlestick_graph\n",
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"# Limit graph period to keep plotly quick and reactive\n",
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"\n",
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"# Filter trades to one pair\n",
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"trades_red = trades.loc[trades['pair'] == pair]\n",
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"\n",
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"data_red = data['2019-06-01':'2019-06-10']\n",
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"# Generate candlestick graph\n",
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"graph = generate_candlestick_graph(pair=pair,\n",
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" data=data_red,\n",
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" trades=trades,\n",
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" trades=trades_red,\n",
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" indicators1=['sma20', 'ema50', 'ema55'],\n",
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" indicators2=['rsi', 'macd', 'macdsignal', 'macdhist']\n",
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" )\n",
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