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78 lines
1.7 KiB
Markdown
78 lines
1.7 KiB
Markdown
# Plotting
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This page explains how to plot prices, indicator, profits.
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## Table of Contents
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- [Plot price and indicators](#plot-price-and-indicators)
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- [Plot profit](#plot-profit)
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## Installation
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Plotting scripts use Plotly library. Install/upgrade it with:
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```
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pip install --upgrade plotly
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```
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At least version 2.3.0 is required.
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## Plot price and indicators
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Usage for the price plotter:
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```
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script/plot_dataframe.py [-h] [-p pair] [--live]
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```
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Example
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```
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python scripts/plot_dataframe.py -p BTC_ETH
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```
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The `-p` pair argument, can be used to specify what
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pair you would like to plot.
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**Advanced use**
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To plot the current live price use the `--live` flag:
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```
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python scripts/plot_dataframe.py -p BTC_ETH --live
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```
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To plot a timerange (to zoom in):
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```
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python scripts/plot_dataframe.py -p BTC_ETH --timerange=100-200
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```
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Timerange doesn't work with live data.
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## Plot profit
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The profit plotter show a picture with three plots:
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1) Average closing price for all pairs
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2) The summarized profit made by backtesting.
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Note that this is not the real-world profit, but
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more of an estimate.
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3) Each pair individually profit
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The first graph is good to get a grip of how the overall market
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progresses.
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The second graph will show how you algorithm works or doesnt.
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Perhaps you want an algorithm that steadily makes small profits,
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or one that acts less seldom, but makes big swings.
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The third graph can be useful to spot outliers, events in pairs
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that makes profit spikes.
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Usage for the profit plotter:
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```
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script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
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```
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The `-p` pair argument, can be used to plot a single pair
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Example
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```
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python3.6 scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p BTC_LTC
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```
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