wip symbols tidy up
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@ -16,6 +16,18 @@ ETH:
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300s of 1s OHLCV data (5 min)
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300 OHLCV + indicatros bars of each 1m 1h 1d and 1s BTC
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so:
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# Standardized input for all models:
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{
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'primary_symbol': 'ETH/USDT',
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'reference_symbol': 'BTC/USDT',
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'eth_data': {'ETH_1s': df, 'ETH_1m': df, 'ETH_1h': df, 'ETH_1d': df},
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'btc_data': {'BTC_1s': df},
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'current_prices': {'ETH': price, 'BTC': price},
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'data_completeness': {...}
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}
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RL model should have also access of the last hidden layers of the CNN model where patterns are learned. it can be empty if CNN model is not active or missing. as well as the output (predictions) of the CNN model for each timeframe (1s 1m 1h 1d) and next expected pivot point
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## CNN model
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