allow users to store data in custom formats, update spot config to reflect better target horizon to training period ratio
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@ -7,6 +7,7 @@
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"dry_run": true,
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"timeframe": "5m",
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"dry_run_wallet": 4000,
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"dataformat_ohlcv": "hdf5",
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"cancel_open_orders_on_exit": true,
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"unfilledtimeout": {
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"entry": 10,
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@ -24,7 +25,8 @@
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"rateLimit": 200
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},
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"pair_whitelist": [
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"BTC/USDT"
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"BTC/USDT",
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"ETH/USDT"
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],
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"pair_blacklist": []
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},
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@ -39,7 +41,7 @@
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}
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},
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"exit_pricing": {
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"price_side": "same",
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"price_side": "other",
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"use_order_book": true,
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"order_book_top": 1
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},
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@ -54,7 +56,7 @@
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"15m",
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"4h"
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],
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"train_period": 30,
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"train_period": 60,
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"backtest_period": 7,
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"identifier": "example",
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"live_trained_timestamp": 0,
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@ -66,7 +68,7 @@
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"SOL/USDT"
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],
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"feature_parameters": {
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"period": 20,
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"period": 500,
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"shift": 1,
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"DI_threshold": 0,
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"weight_factor": 0.9,
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@ -735,7 +735,7 @@ class FreqaiDataKitchen:
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exchange, pairs=pairs, timeframes=self.freqai_config.get('timeframes'),
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datadir=self.config['datadir'], timerange=timerange,
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new_pairs_days=self.config['new_pairs_days'],
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erase=False, data_format=self.config['dataformat_ohlcv'],
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erase=False, data_format=self.config.get('dataformat_ohlcv', 'json'),
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trading_mode=self.config.get('trading_mode', 'spot'),
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prepend=self.config.get('prepend_data', False)
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)
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@ -751,6 +751,8 @@ class FreqaiDataKitchen:
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base_dataframes[tf] = load_pair_history(datadir=self.config['datadir'],
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timeframe=tf,
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pair=metadata['pair'], timerange=timerange,
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data_format=self.config.get(
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'dataformat_ohlcv', 'json'),
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candle_type=self.config.get(
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'trading_mode', 'spot'))
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if pairs:
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@ -762,6 +764,8 @@ class FreqaiDataKitchen:
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corr_dataframes[p][tf] = load_pair_history(datadir=self.config['datadir'],
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timeframe=tf,
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pair=p, timerange=timerange,
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data_format=self.config.get(
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'dataformat_ohlcv', 'json'),
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candle_type=self.config.get(
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'trading_mode', 'spot'))
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