#!/usr/bin/env python3 """ Script to display when the bot will buy on specific pair(s) Use `python plot_dataframe.py --help` to display the command line arguments Indicators recommended Row 1: sma, ema3, ema5, ema10, ema50 Row 3: macd, rsi, fisher_rsi, mfi, slowd, slowk, fastd, fastk Example of usage: > python3 scripts/plot_dataframe.py --pairs BTC/EUR,XRP/BTC -d user_data/data/ --indicators1 sma,ema3 --indicators2 fastk,fastd """ import logging import sys from pathlib import Path from typing import Any, Dict, List import pandas as pd from freqtrade.arguments import ARGS_PLOT_DATAFRAME, Arguments from freqtrade.data import history from freqtrade.data.btanalysis import extract_trades_of_period, load_trades from freqtrade.optimize import setup_configuration from freqtrade.plot.plotting import (generate_candlestick_graph, generate_plot_file, generate_plot_filename) from freqtrade.resolvers import ExchangeResolver, StrategyResolver from freqtrade.state import RunMode logger = logging.getLogger(__name__) def generate_dataframe(strategy, tickers, pair) -> pd.DataFrame: """ Get tickers then Populate strategy indicators and signals, then return the full dataframe :return: the DataFrame of a pair """ dataframes = strategy.tickerdata_to_dataframe(tickers) dataframe = dataframes[pair] dataframe = strategy.advise_buy(dataframe, {'pair': pair}) dataframe = strategy.advise_sell(dataframe, {'pair': pair}) return dataframe def analyse_and_plot_pairs(config: Dict[str, Any]): """ From arguments provided in cli: -Initialise backtest env -Get tickers data -Generate Dafaframes populated with indicators and signals -Load trades excecuted on same periods -Generate Plotly plot objects -Generate plot files :return: None """ exchange = ExchangeResolver(config.get('exchange', {}).get('name'), config).exchange strategy = StrategyResolver(config).strategy if "pairs" in config: pairs = config["pairs"].split(',') else: pairs = config["exchange"]["pair_whitelist"] # Set timerange to use timerange = Arguments.parse_timerange(config["timerange"]) ticker_interval = strategy.ticker_interval tickers = history.load_data( datadir=Path(str(config.get("datadir"))), pairs=pairs, ticker_interval=config['ticker_interval'], refresh_pairs=config.get('refresh_pairs', False), timerange=timerange, exchange=exchange, live=config.get("live", False), ) trades = load_trades(config) pair_counter = 0 for pair, data in tickers.items(): pair_counter += 1 logger.info("analyse pair %s", pair) tickers = {} tickers[pair] = data dataframe = generate_dataframe(strategy, tickers, pair) trades_pair = trades.loc[trades['pair'] == pair] trades_pair = extract_trades_of_period(dataframe, trades_pair) fig = generate_candlestick_graph( pair=pair, data=dataframe, trades=trades_pair, indicators1=config["indicators1"].split(","), indicators2=config["indicators2"].split(",") ) generate_plot_file(fig, generate_plot_filename(pair, ticker_interval)) logger.info('End of ploting process %s plots generated', pair_counter) def plot_parse_args(args: List[str]) -> Dict[str, Any]: """ Parse args passed to the script :param args: Cli arguments :return: args: Array with all arguments """ arguments = Arguments(args, 'Graph dataframe') arguments.build_args(optionlist=ARGS_PLOT_DATAFRAME) parsed_args = arguments.parse_args() # Load the configuration config = setup_configuration(parsed_args, RunMode.OTHER) return config def main(sysargv: List[str]) -> None: """ This function will initiate the bot and start the trading loop. :return: None """ logger.info('Starting Plot Dataframe') analyse_and_plot_pairs( plot_parse_args(sysargv) ) exit() if __name__ == '__main__': main(sys.argv[1:])