Add documentation for leverage_tiers update
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@ -314,6 +314,32 @@ The output will show the last entry from the Exchange as well as the current UTC
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If the day shows the same day, then the last candle can be assumed as incomplete and should be dropped (leave the setting `"ohlcv_partial_candle"` from the exchange-class untouched / True). Otherwise, set `"ohlcv_partial_candle"` to `False` to not drop Candles (shown in the example above).
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If the day shows the same day, then the last candle can be assumed as incomplete and should be dropped (leave the setting `"ohlcv_partial_candle"` from the exchange-class untouched / True). Otherwise, set `"ohlcv_partial_candle"` to `False` to not drop Candles (shown in the example above).
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Another way is to run this command multiple times in a row and observe if the volume is changing (while the date remains the same).
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Another way is to run this command multiple times in a row and observe if the volume is changing (while the date remains the same).
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### Update binance cached leverage tiers
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Updating leveraged tiers should be done regularly - and requires an authenticated account with futures enabled.
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``` python
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import ccxt
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import json
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from pathlib import Path
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exchange = ccxt.binance({
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'apiKey': '<apikey>',
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'secret': '<secret>'
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'options': {'defaultType': 'future'}
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})
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_ = exchange.load_markets()
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lev_tiers = exchange.fetch_leverage_tiers()
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# Assumes this is running in the root of the repository.
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file = Path('freqtrade/exchange/binance_leverage_tiers.json')
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json.dump(lev_tiers, file.open('w'), indent=2)
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```
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This file should then be contributed upstream, so others can benefit from this, too.
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## Updating example notebooks
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## Updating example notebooks
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To keep the jupyter notebooks aligned with the documentation, the following should be ran after updating a example notebook.
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To keep the jupyter notebooks aligned with the documentation, the following should be ran after updating a example notebook.
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