mirror of
https://github.com/freqtrade/freqtrade.git
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114 lines
3.4 KiB
Python
Executable File
114 lines
3.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Script to display when the bot will buy on specific pair(s)
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Use `python plot_dataframe.py --help` to display the command line arguments
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Indicators recommended
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Row 1: sma, ema3, ema5, ema10, ema50
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Row 3: macd, rsi, fisher_rsi, mfi, slowd, slowk, fastd, fastk
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Example of usage:
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> python3 scripts/plot_dataframe.py --pairs BTC/EUR,XRP/BTC -d user_data/data/
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--indicators1 sma,ema3 --indicators2 fastk,fastd
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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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import pandas as pd
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from freqtrade.configuration import Arguments
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from freqtrade.configuration.arguments import ARGS_PLOT_DATAFRAME
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from freqtrade.data.btanalysis import extract_trades_of_period
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from freqtrade.optimize import setup_configuration
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from freqtrade.plot.plotting import (init_plotscript, generate_candlestick_graph,
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store_plot_file,
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generate_plot_filename)
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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def generate_dataframe(strategy, tickers, pair) -> pd.DataFrame:
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"""
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Get tickers then Populate strategy indicators and signals, then return the full dataframe
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:return: the DataFrame of a pair
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"""
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dataframes = strategy.tickerdata_to_dataframe(tickers)
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dataframe = dataframes[pair]
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dataframe = strategy.advise_buy(dataframe, {'pair': pair})
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dataframe = strategy.advise_sell(dataframe, {'pair': pair})
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return dataframe
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def analyse_and_plot_pairs(config: Dict[str, Any]):
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"""
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From arguments provided in cli:
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-Initialise backtest env
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-Get tickers data
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-Generate Dafaframes populated with indicators and signals
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-Load trades excecuted on same periods
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-Generate Plotly plot objects
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-Generate plot files
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:return: None
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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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pair_counter = 0
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for pair, data in plot_elements["tickers"].items():
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pair_counter += 1
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logger.info("analyse pair %s", pair)
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tickers = {}
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tickers[pair] = data
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dataframe = generate_dataframe(plot_elements["strategy"], tickers, pair)
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trades_pair = trades.loc[trades['pair'] == pair]
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trades_pair = extract_trades_of_period(dataframe, trades_pair)
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fig = generate_candlestick_graph(
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pair=pair,
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data=dataframe,
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trades=trades_pair,
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indicators1=config["indicators1"].split(","),
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indicators2=config["indicators2"].split(",")
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)
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store_plot_file(fig, generate_plot_filename(pair, config['ticker_interval']))
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logger.info('End of ploting process %s plots generated', pair_counter)
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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 dataframe')
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arguments._build_args(optionlist=ARGS_PLOT_DATAFRAME)
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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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analyse_and_plot_pairs(
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plot_parse_args(sysargv)
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)
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exit()
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if __name__ == '__main__':
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main(sys.argv[1:])
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