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training works on CPU

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This commit is contained in:
Dobromir Popov 2025-02-04 20:59:24 +02:00
parent 20d6542d2c
commit a25e1eb686
1 changed files with 11 additions and 4 deletions
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13
crypto/brian/index-deep-new.py
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@ -239,14 +239,18 @@ class BacktestEnvironment:
def step(self, action):
base_candles = self.candles_dict[self.base_tf]
# Handle end-of-data scenario: return dummy high/low values if needed.
if self.current_index >= len(base_candles) - 1:
return self.get_state(self.current_index), 0.0, None, True
current_state = self.get_state(self.current_index)
return current_state, 0.0, None, True, 0.0, 0.0
current_state = self.get_state(self.current_index)
next_index = self.current_index + 1
next_state = self.get_state(next_index)
current_candle = base_candles[self.current_index]
next_candle = base_candles[next_index]
reward = 0.0
# Action mapping: 0 -> SELL, 1 -> HOLD, 2 -> BUY.
if self.position is None:
if action == 2: # BUY signal: enter at next candle's open.
@ -265,10 +269,13 @@ class BacktestEnvironment:
}
self.trade_history.append(trade)
self.position = None
self.current_index = next_index
done = (self.current_index >= len(base_candles) - 1)
return current_state, reward, next_state, done
# Return the high and low of the next candle as the targets.
actual_high = next_candle["high"]
actual_low = next_candle["low"]
return current_state, reward, next_state, done, actual_high, actual_low
def __len__(self):
return len(self.candles_dict[self.base_tf])