# Plotting This page explains how to plot prices, indicators and profits. ## Installation / Setup Plotting modules use the Plotly library. You can install / upgrade this by running the following command: ``` bash pip install -U -r requirements-plot.txt ``` ## Plot price and indicators Plot dataframe shows an interactive graph with three subplots: * Main plot with candlestics and indicators following price (sma/ema) * Volume bars * Additional indicators as specified by `--indicators2` ![plot-dataframe](assets/plot-dataframe.png) Possible arguments: ``` usage: freqtrade plot-dataframe [-h] [-p PAIRS [PAIRS ...]] [--indicators1 INDICATORS1 [INDICATORS1 ...]] [--indicators2 INDICATORS2 [INDICATORS2 ...]] [--plot-limit INT] [--db-url PATH] [--trade-source {DB,file}] [--export EXPORT] [--export-filename PATH] [--timerange TIMERANGE] optional arguments: -h, --help show this help message and exit -p PAIRS [PAIRS ...], --pairs PAIRS [PAIRS ...] Show profits for only these pairs. Pairs are space- separated. --indicators1 INDICATORS1 [INDICATORS1 ...] Set indicators from your strategy you want in the first row of the graph. Space-separated list. Example: `ema3 ema5`. Default: `['sma', 'ema3', 'ema5']`. --indicators2 INDICATORS2 [INDICATORS2 ...] Set indicators from your strategy you want in the third row of the graph. Space-separated list. Example: `fastd fastk`. Default: `['macd', 'macdsignal']`. --plot-limit INT Specify tick limit for plotting. Notice: too high values cause huge files. Default: 750. --db-url PATH Override trades database URL, this is useful in custom deployments (default: `sqlite:///tradesv3.sqlite` for Live Run mode, `sqlite://` for Dry Run). --trade-source {DB,file} Specify the source for trades (Can be DB or file (backtest file)) Default: file --export EXPORT Export backtest results, argument are: trades. Example: `--export=trades` --export-filename PATH Save backtest results to the file with this filename (default: `user_data/backtest_results/backtest- result.json`). Requires `--export` to be set as well. Example: `--export-filename=user_data/backtest_results /backtest_today.json` --timerange TIMERANGE Specify what timerange of data to use. ``` Example: ``` bash freqtrade plot-dataframe -p BTC/ETH ``` The `--pairs` argument can be used to specify pairs you would like to plot. !!! Note Generates one plot-file per pair. Specify custom indicators. Use `--indicators1` for the main plot and `--indicators2` for the subplot below (if values are in a different range than prices). !!! tip You will almost certainly want to specify a custom strategy! This can be done by adding `--strategy ClassName` to the command. ``` bash freqtrade --strategy AwesomeStrategy plot-dataframe -p BTC/ETH --indicators1 sma ema --indicators2 macd ``` ### Further usage examples To plot multiple pairs, separate them with a space: ``` bash freqtrade --strategy AwesomeStrategy plot-dataframe -p BTC/ETH XRP/ETH ``` To plot a timerange (to zoom in) ``` bash freqtrade --strategy AwesomeStrategy plot-dataframe -p BTC/ETH --timerange=20180801-20180805 ``` To plot trades stored in a database use `--db-url` in combination with `--trade-source DB`: ``` bash freqtrade --strategy AwesomeStrategy plot-dataframe --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH --trade-source DB ``` To plot trades from a backtesting result, use `--export-filename ` ``` bash freqtrade --strategy AwesomeStrategy plot-dataframe --export-filename user_data/backtest_results/backtest-result.json -p BTC/ETH ``` ## Plot profit ![plot-profit](assets/plot-profit.png) Plot profit shows an interactive graph 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 more of an estimate. 3) Profit for each individual pair The first graph is good to get a grip of how the overall market progresses. The second graph will show if your algorithm works or doesn't. Perhaps you want an algorithm that steadily makes small profits, or one that acts less often, but makes big swings. The third graph can be useful to spot outliers, events in pairs that cause profit spikes. Usage for the plot-profit module: ``` usage: freqtrade plot-profit [-h] [-p PAIRS [PAIRS ...]] [--timerange TIMERANGE] [--export EXPORT] [--export-filename PATH] [--db-url PATH] [--trade-source {DB,file}] optional arguments: -h, --help show this help message and exit -p PAIRS [PAIRS ...], --pairs PAIRS [PAIRS ...] Show profits for only these pairs. Pairs are space- separated. --timerange TIMERANGE Specify what timerange of data to use. --export EXPORT Export backtest results, argument are: trades. Example: `--export=trades` --export-filename PATH Save backtest results to the file with this filename (default: `user_data/backtest_results/backtest- result.json`). Requires `--export` to be set as well. Example: `--export-filename=user_data/backtest_results /backtest_today.json` --db-url PATH Override trades database URL, this is useful in custom deployments (default: `sqlite:///tradesv3.sqlite` for Live Run mode, `sqlite://` for Dry Run). --trade-source {DB,file} Specify the source for trades (Can be DB or file (backtest file)) Default: file ``` The `--pairs` argument, can be used to limit the pairs that are considered for this calculation. Examples: Use custom backtest-export file ``` bash freqtrade plot-profit -p LTC/BTC --export-filename user_data/backtest_results/backtest-result-Strategy005.json ``` Use custom database ``` bash freqtrade plot-profit -p LTC/BTC --db-url sqlite:///tradesv3.sqlite --trade-source DB ``` ``` bash freqtrade plot-profit --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p LTC/BTC ```