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Use 30min rate cache

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This commit is contained in:
Matthias 2020-05-05 06:32:03 +02:00
parent b38f9ed5e7
commit 648723fb83
1 changed files with 5 additions and 5 deletions
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10
freqtrade/freqtradebot.py
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@ -54,11 +54,11 @@ class FreqtradeBot:
# Init objects # Init objects
self.config = config self.config = config
_process_throttle_secs = self.config['internals'].get('process_throttle_secs', # Cache values for 1800 to avoid frequent polling of the exchange for prices
constants.PROCESS_THROTTLE_SECS) # Caching only applies to RPC methods, so prices for open trades are still
# Use 3x process_throttle_secs for caching to avoid delays in RPC methods. # refreshed once every iteration.
self._sell_rate_cache = TTLCache(maxsize=100, ttl=_process_throttle_secs * 3) self._sell_rate_cache = TTLCache(maxsize=100, ttl=1800)
self._buy_rate_cache = TTLCache(maxsize=100, ttl=_process_throttle_secs * 3) self._buy_rate_cache = TTLCache(maxsize=100, ttl=1800)
self.strategy: IStrategy = StrategyResolver.load_strategy(self.config) self.strategy: IStrategy = StrategyResolver.load_strategy(self.config)