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Replace plot-scripts with pointers to the new commands
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#!/usr/bin/env python3 | ||
""" | ||
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 | ||
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 typing import Any, Dict, List | ||
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from freqtrade.configuration import Arguments | ||
from freqtrade.configuration.arguments import ARGS_PLOT_DATAFRAME | ||
from freqtrade.data.btanalysis import extract_trades_of_period | ||
from freqtrade.optimize import setup_configuration | ||
from freqtrade.plot.plotting import (init_plotscript, generate_candlestick_graph, | ||
store_plot_file, | ||
generate_plot_filename) | ||
from freqtrade.state import RunMode | ||
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logger = logging.getLogger(__name__) | ||
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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 | ||
""" | ||
plot_elements = init_plotscript(config) | ||
trades = plot_elements['trades'] | ||
strategy = plot_elements["strategy"] | ||
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pair_counter = 0 | ||
for pair, data in plot_elements["tickers"].items(): | ||
pair_counter += 1 | ||
logger.info("analyse pair %s", pair) | ||
tickers = {} | ||
tickers[pair] = data | ||
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dataframe = strategy.analyze_ticker(tickers[pair], {'pair': pair}) | ||
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trades_pair = trades.loc[trades['pair'] == pair] | ||
trades_pair = extract_trades_of_period(dataframe, trades_pair) | ||
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fig = generate_candlestick_graph( | ||
pair=pair, | ||
data=dataframe, | ||
trades=trades_pair, | ||
indicators1=config["indicators1"].split(","), | ||
indicators2=config["indicators2"].split(",") | ||
) | ||
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store_plot_file(fig, filename=generate_plot_filename(pair, config['ticker_interval']), | ||
directory=config['user_data_dir'] / "plot") | ||
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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]: | ||
""" | ||
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() | ||
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# Load the configuration | ||
config = setup_configuration(parsed_args, RunMode.OTHER) | ||
return config | ||
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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() | ||
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print("This script has been integrated into freqtrade " | ||
"and its functionality is available by calling `freqtrade plot-dataframe`.") | ||
print("Please check the documentation on https://www.freqtrade.io/en/latest/plotting/ " | ||
"for details.") | ||
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if __name__ == '__main__': | ||
main(sys.argv[1:]) | ||
sys.exit(1) |
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@@ -1,66 +1,11 @@ | ||
#!/usr/bin/env python3 | ||
""" | ||
Script to display profits | ||
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Use `python plot_profit.py --help` to display the command line arguments | ||
""" | ||
import logging | ||
import sys | ||
from typing import Any, Dict, List | ||
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from freqtrade.configuration import Arguments | ||
from freqtrade.configuration.arguments import ARGS_PLOT_PROFIT | ||
from freqtrade.optimize import setup_configuration | ||
from freqtrade.plot.plotting import init_plotscript, generate_profit_graph, store_plot_file | ||
from freqtrade.state import RunMode | ||
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logger = logging.getLogger(__name__) | ||
print("This script has been integrated into freqtrade " | ||
"and its functionality is available by calling `freqtrade plot-profit`.") | ||
print("Please check the documentation on https://www.freqtrade.io/en/latest/plotting/ " | ||
"for details.") | ||
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def plot_profit(config: Dict[str, Any]) -> None: | ||
""" | ||
Plots the total profit for all pairs. | ||
Note, the profit calculation isn't realistic. | ||
But should be somewhat proportional, and therefor useful | ||
in helping out to find a good algorithm. | ||
""" | ||
plot_elements = init_plotscript(config) | ||
trades = plot_elements['trades'] | ||
# Filter trades to relevant pairs | ||
trades = trades[trades['pair'].isin(plot_elements["pairs"])] | ||
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# Create an average close price of all the pairs that were involved. | ||
# this could be useful to gauge the overall market trend | ||
fig = generate_profit_graph(plot_elements["pairs"], plot_elements["tickers"], trades) | ||
store_plot_file(fig, filename='freqtrade-profit-plot.html', | ||
directory=config['user_data_dir'] / "plot", auto_open=True) | ||
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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 profits') | ||
arguments._build_args(optionlist=ARGS_PLOT_PROFIT) | ||
parsed_args = arguments._parse_args() | ||
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# Load the configuration | ||
config = setup_configuration(parsed_args, RunMode.OTHER) | ||
return config | ||
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def main(sysargv: List[str]) -> None: | ||
""" | ||
This function will initiate the bot and start the trading loop. | ||
:return: None | ||
""" | ||
logger.info('Starting Plot Dataframe') | ||
plot_profit( | ||
plot_parse_args(sysargv) | ||
) | ||
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if __name__ == '__main__': | ||
main(sys.argv[1:]) | ||
sys.exit(1) |