]):
if k in config:
print(f"{k: <{max(map(len, keys)) + 2}} {config[k]}")
print()
ticks = await downloader.get_ticks(True)
start_candidate = None
if args.starting_configs != 'none':
try:
if os.path.isdir(args.starting_configs):
start_candidate = [
json.load(open(f)) for f in glob.glob(
os.path.join(args.starting_configs, '*.json'))
]
print('Starting with all configurations in directory.')
else:
start_candidate = json.load(open(args.starting_configs))
print('Starting with specified configuration.')
except Exception as e:
print('Could not find specified configuration.', e)
if start_candidate:
analysis = backtest_tune(ticks, config, start_candidate)
else:
analysis = backtest_tune(ticks, config)
save_results(analysis, config)
plot_wrap(config, ticks, clean_result_config(analysis.best_config))
if __name__ == '__main__':
asyncio.run(main())
if os.path.isdir(config['starting_configs']):
start_candidate = [
load_live_config(f) for f in glob.glob(
os.path.join(config['starting_configs'], '*.json'))
]
print('Starting with all configurations in directory.')
else:
start_candidate = load_live_config(config['starting_configs'])
print('Starting with specified configuration.')
except Exception as e:
print('Could not find specified configuration.', e)
analysis = backtest_tune(data, config, start_candidate)
if analysis:
save_results(analysis, config)
config.update(clean_result_config(analysis.best_config))
plot_wrap(pack_config(config), data)
async def main():
parser = argparse.ArgumentParser(prog='Optimize',
description='Optimize passivbot config.')
parser.add_argument('-o',
'--optimize_config',
type=str,
required=False,
dest='optimize_config_path',
default='configs/optimize/default.hjson',
help='optimize config hjson file')
parser.add_argument(
'-t',
'--start',