Fix typos, add section for custom indicators
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# Plotting
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This page explains how to plot prices, indicator, profits.
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This page explains how to plot prices, indicators and profits.
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## Installation
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@ -10,8 +10,6 @@ Plotting scripts use Plotly library. Install/upgrade it with:
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pip install -U -r requirements-plot.txt
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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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@ -26,8 +24,14 @@ Example
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python3 scripts/plot_dataframe.py -p BTC/ETH
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```
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The `-p` pairs argument, can be used to specify
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pairs you would like to plot.
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The `-p` pairs argument can be used to specify pairs you would like to plot.
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Specify custom indicators.
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Use `--indicators1` for the main plot and `--indicators2` for the subplot below (if values are in a different range than prices).
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``` bash
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python3 scripts/plot_dataframe.py -p BTC/ETH --indicators1 sma,ema --indicators2 macd
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```
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### Advanced use
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@ -57,13 +61,13 @@ To plot trades stored in a database use `--db-url` argument:
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python3 scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH
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```
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To polt trades from a backtesting result, use `--export-filename <filename>`
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To plot trades from a backtesting result, use `--export-filename <filename>`
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``` bash
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python3 scripts/plot_dataframe.py --export-filename user_data/backtest_data/backtest-result.json -p BTC/ETH
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```
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To plot a test strategy the strategy should have first be backtested.
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To plot a custom strategy the strategy should have first be backtested.
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The results may then be plotted with the -s argument:
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``` bash
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@ -72,7 +76,7 @@ python3 scripts/plot_dataframe.py -s Strategy_Name -p BTC/ETH --datadir user_dat
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## Plot profit
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The profit plotter show a picture with three plots:
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The profit plotter shows 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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