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Merge pull request #1884 from freqtrade/doc/plotting

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[minor] Improve plotting documentation
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@ -1,63 +1,83 @@
# Plotting
This page explains how to plot prices, indicator, profits.
This page explains how to plot prices, indicators and profits.
## Installation
Plotting scripts use Plotly library. Install/upgrade it with:
``` bash
pip install -U -r requirements-plot.txt
```
pip install --upgrade plotly
```
At least version 2.3.0 is required.
## Plot price and indicators
Usage for the price plotter:
```
script/plot_dataframe.py [-h] [-p pairs] [--live]
``` bash
python3 script/plot_dataframe.py [-h] [-p pairs] [--live]
```
Example
```
python scripts/plot_dataframe.py -p BTC/ETH
``` bash
python3 scripts/plot_dataframe.py -p BTC/ETH
```
The `-p` pairs argument, can be used to specify
pairs you would like to plot.
The `-p` pairs argument can be used to specify pairs you would like to plot.
**Advanced use**
Specify custom indicators.
Use `--indicators1` for the main plot and `--indicators2` for the subplot below (if values are in a different range than prices).
``` bash
python3 scripts/plot_dataframe.py -p BTC/ETH --indicators1 sma,ema --indicators2 macd
```
### Advanced use
To plot multiple pairs, separate them with a comma:
```
python scripts/plot_dataframe.py -p BTC/ETH,XRP/ETH
``` bash
python3 scripts/plot_dataframe.py -p BTC/ETH,XRP/ETH
```
To plot the current live price use the `--live` flag:
```
python scripts/plot_dataframe.py -p BTC/ETH --live
``` bash
python3 scripts/plot_dataframe.py -p BTC/ETH --live
```
To plot a timerange (to zoom in):
``` bash
python3 scripts/plot_dataframe.py -p BTC/ETH --timerange=100-200
```
python scripts/plot_dataframe.py -p BTC/ETH --timerange=100-200
```
Timerange doesn't work with live data.
To plot trades stored in a database use `--db-url` argument:
```
python scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH
``` bash
python3 scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH
```
To plot a test strategy the strategy should have first be backtested.
The results may then be plotted with the -s argument:
To plot trades from a backtesting result, use `--export-filename <filename>`
``` bash
python3 scripts/plot_dataframe.py --export-filename user_data/backtest_data/backtest-result.json -p BTC/ETH
```
python scripts/plot_dataframe.py -s Strategy_Name -p BTC/ETH --datadir user_data/data/<exchange_name>/
To plot a custom strategy the strategy should have first be backtested.
The results may then be plotted with the -s argument:
``` bash
python3 scripts/plot_dataframe.py -s Strategy_Name -p BTC/ETH --datadir user_data/data/<exchange_name>/
```
## Plot profit
The profit plotter show a picture with three plots:
The profit plotter shows a picture with three plots:
1) Average closing price for all pairs
2) The summarized profit made by backtesting.
Note that this is not the real-world profit, but
@ -67,7 +87,7 @@ The profit plotter show a picture with three plots:
The first graph is good to get a grip of how the overall market
progresses.
The second graph will show how you algorithm works or doesnt.
The second graph will show how your algorithm works or doesn't.
Perhaps you want an algorithm that steadily makes small profits,
or one that acts less seldom, but makes big swings.
@ -76,13 +96,14 @@ that makes profit spikes.
Usage for the profit plotter:
```
script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
``` bash
python3 script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
```
The `-p` pair argument, can be used to plot a single pair
Example
```
``` bash
python3 scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p LTC/BTC
```