refactor
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69f68c428e
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@ -61,6 +61,11 @@ def load_data(datadir: str, ticker_interval: int = 5, pairs: Optional[List[str]]
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return result
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def tickerdata_to_dataframe(data):
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preprocessed = preprocess(data)
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return preprocessed
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def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
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"""Creates a dataframe and populates indicators for given ticker data"""
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return {pair: populate_indicators(parse_ticker_dataframe(pair_data))
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@ -13,7 +13,6 @@ from freqtrade.analyze import populate_buy_trend, populate_sell_trend
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from freqtrade.exchange import Bittrex
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from freqtrade.main import min_roi_reached
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import freqtrade.misc as misc
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from freqtrade.optimize import preprocess
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import freqtrade.optimize as optimize
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from freqtrade.persistence import Trade
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@ -162,12 +161,12 @@ def start(args):
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data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
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else:
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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data = optimize.load_data(args.datadir, pairs=pairs, ticker_interval=args.ticker_interval,
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refresh_pairs=args.refresh_pairs)
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logger.info('Using stake_currency: %s ...', config['stake_currency'])
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logger.info('Using stake_amount: %s ...', config['stake_amount'])
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data = optimize.load_data(args.datadir, pairs=pairs, ticker_interval=args.ticker_interval,
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refresh_pairs=args.refresh_pairs)
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max_open_trades = 0
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if args.realistic_simulation:
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logger.info('Using max_open_trades: %s ...', config['max_open_trades'])
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@ -177,7 +176,7 @@ def start(args):
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from freqtrade import main
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main._CONF = config
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preprocessed = preprocess(data)
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preprocessed = optimize.tickerdata_to_dataframe(data)
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# Print timeframe
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min_date, max_date = get_timeframe(preprocessed)
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logger.info('Measuring data from %s up to %s ...', min_date.isoformat(), max_date.isoformat())
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@ -230,8 +230,8 @@ def start(args):
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logger.info('Using config: %s ...', args.config)
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config = load_config(args.config)
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pairs = config['exchange']['pair_whitelist']
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PROCESSED = optimize.preprocess(optimize.load_data(
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args.datadir, pairs=pairs, ticker_interval=args.ticker_interval))
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data = optimize.load_data(args.datadir, pairs=pairs, ticker_interval=args.ticker_interval)
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PROCESSED = optimize.tickerdata_to_dataframe(data)
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if args.mongodb:
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logger.info('Using mongodb ...')
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