adding VET and changing name of cake strategy
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@ -13,7 +13,7 @@ import talib.abstract as ta
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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class BestProfitLowBudget(IStrategy):
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class CAKE_1(IStrategy):
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"""
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"""
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This is a strategy template to get you started.
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This is a strategy template to get you started.
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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@ -13,7 +13,7 @@ import talib.abstract as ta
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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class BestProfitLowBudget(IStrategy):
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class CAKE_2(IStrategy):
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"""
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"""
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This is a strategy template to get you started.
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This is a strategy template to get you started.
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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@ -0,0 +1,5 @@
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### VET/USDT
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| File | Start date | End date | Tot. Profit | Avg. Profit | Objective |
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| ---- | ---------- | -------- | ----------- | ----------- | --------- |
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| [VET_1](USDT/VET_1.py) | 2021-02-15 06:00:00 | 2021-04-26 09:55:00 | 230.33% | 1.18% | -14.7 |
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@ -13,7 +13,7 @@ import talib.abstract as ta
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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class VET_Feb2021(IStrategy):
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class VET_1(IStrategy):
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"""
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"""
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This is a strategy template to get you started.
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This is a strategy template to get you started.
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
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@ -36,15 +36,15 @@ class VET_Feb2021(IStrategy):
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# Minimal ROI designed for the strategy.
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# Minimal ROI designed for the strategy.
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# This attribute will be overridden if the config file contains "minimal_roi".
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# This attribute will be overridden if the config file contains "minimal_roi".
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minimal_roi = {
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minimal_roi = {
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"176": 0,
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"155": 0,
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"62": 0.01208,
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"90": 0.02968,
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"21": 0.02821,
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"32": 0.09639,
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"0": 0.07683
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"0": 0.27905
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}
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}
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# Optimal stoploss designed for the strategy.
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# Optimal stoploss designed for the strategy.
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# This attribute will be overridden if the config file contains "stoploss".
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# This attribute will be overridden if the config file contains "stoploss".
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stoploss = -0.34245
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stoploss = -0.22321
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# Trailing stoploss
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# Trailing stoploss
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trailing_stop = False
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trailing_stop = False
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@ -339,8 +339,7 @@ class VET_Feb2021(IStrategy):
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"""
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"""
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dataframe.loc[
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dataframe.loc[
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(
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(
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(dataframe['fastd'] < 23) &
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(dataframe['fastd'] < 44) &
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(dataframe['adx'] > 20) &
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(dataframe['close'] < dataframe['bb_lowerband'])
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(dataframe['close'] < dataframe['bb_lowerband'])
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#(qtpylib.crossed_above(dataframe['rsi'], 30)) # Signal: RSI crosses above 30
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#(qtpylib.crossed_above(dataframe['rsi'], 30)) # Signal: RSI crosses above 30
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#(dataframe['tema'] <= dataframe['bb_middleband']) & # Guard: tema below BB middle
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#(dataframe['tema'] <= dataframe['bb_middleband']) & # Guard: tema below BB middle
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@ -360,9 +359,8 @@ class VET_Feb2021(IStrategy):
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"""
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"""
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dataframe.loc[
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dataframe.loc[
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(
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(
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(dataframe['fastd'] > 96) &
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(dataframe['fastd'] > 75) &
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(dataframe['mfi'] > 85) &
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(qtpylib.crossed_above(dataframe['sar'], dataframe['close']))
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(dataframe['close'] > dataframe['bb_upperband'])
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#(qtpylib.crossed_above(dataframe['rsi'], 70)) # Signal: RSI crosses above 70
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#(qtpylib.crossed_above(dataframe['rsi'], 70)) # Signal: RSI crosses above 70
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#(dataframe['tema'] > dataframe['bb_middleband']) & # Guard: tema above BB middle
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#(dataframe['tema'] > dataframe['bb_middleband']) & # Guard: tema above BB middle
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#(dataframe['tema'] < dataframe['tema'].shift(1)) & # Guard: tema is falling
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#(dataframe['tema'] < dataframe['tema'].shift(1)) & # Guard: tema is falling
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