mirror of
https://github.com/freqtrade/freqtrade.git
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66 lines
1.9 KiB
Python
Executable File
66 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Script to display profits
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Use `python plot_profit.py --help` to display the command line arguments
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"""
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import logging
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import sys
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from typing import Any, Dict, List
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from freqtrade.arguments import ARGS_PLOT_PROFIT, Arguments
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from freqtrade.optimize import setup_configuration
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from freqtrade.plot.plotting import init_plotscript, generate_profit_graph, store_plot_file
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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def plot_profit(config: Dict[str, Any]) -> None:
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"""
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Plots the total profit for all pairs.
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Note, the profit calculation isn't realistic.
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But should be somewhat proportional, and therefor useful
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in helping out to find a good algorithm.
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"""
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plot_elements = init_plotscript(config)
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trades = plot_elements['trades']
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# Filter trades to relevant pairs
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trades = trades[trades['pair'].isin(plot_elements["pairs"])]
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# Create an average close price of all the pairs that were involved.
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# this could be useful to gauge the overall market trend
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fig = generate_profit_graph(plot_elements["pairs"], plot_elements["tickers"], trades)
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store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)
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def plot_parse_args(args: List[str]) -> Dict[str, Any]:
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"""
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Parse args passed to the script
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:param args: Cli arguments
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:return: args: Array with all arguments
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"""
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arguments = Arguments(args, 'Graph profits')
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arguments.build_args(optionlist=ARGS_PLOT_PROFIT)
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parsed_args = arguments.parse_args()
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# Load the configuration
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config = setup_configuration(parsed_args, RunMode.OTHER)
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return config
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def main(sysargv: List[str]) -> None:
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"""
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This function will initiate the bot and start the trading loop.
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:return: None
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"""
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logger.info('Starting Plot Dataframe')
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plot_profit(
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plot_parse_args(sysargv)
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)
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if __name__ == '__main__':
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main(sys.argv[1:])
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