Update interface version on remaining strategies

2022-07-10 15:14:30 +02:00
parent 98ab175ee3
commit bcca7d7aef
10 changed files with 13 additions and 4 deletions
@@ -21,6 +21,7 @@ class InformativeSample(IStrategy):
    > python3 freqtrade -s InformativeSample
    """

+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
@@ -17,6 +17,7 @@ from functools import reduce
 class MultiMa(IStrategy):
    # 111/2000:     18 trades. 12/4/2 Wins/Draws/Losses. Avg profit   9.72%. Median profit   3.01%. Total profit  733.01234143 USDT (  73.30%). Avg duration 2 days, 18:40:00 min. Objective: 1.67048

+    INTERFACE_VERSION: int = 3
    # Buy hyperspace params:
    buy_params = {
        "buy_ma_count": 4,
@@ -19,14 +19,15 @@ from technical.util import resample_to_interval, resampled_merge


 class PatternRecognition(IStrategy):
-    # Pattern Recognition Strategy 
+    # Pattern Recognition Strategy
    # By: @Mablue
    # freqtrade hyperopt -s PatternRecognition --hyperopt-loss SharpeHyperOptLossDaily -e 1000
-    # 
+    #

    # 173/1000:    510 trades. 408/14/88 Wins/Draws/Losses. Avg profit   2.35%. Median profit   5.60%. Total profit 5421.34509618 USDT ( 542.13%). Avg duration 7 days, 11:54:00 min. Objective: -1.60426


+    INTERFACE_VERSION: int = 3
    # Buy hyperspace params:
    buy_params = {
        "buy_pr1": "CDLHIGHWAVE",
@@ -58,7 +59,7 @@ class PatternRecognition(IStrategy):
    buy_pr1 = CategoricalParameter(prs, default=prs[0], space="buy")
    buy_vol1 = CategoricalParameter([-100,100], default=0, space="buy")

-    
+

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        for pr in self.prs:
@@ -21,6 +21,7 @@ class Strategy001_custom_exit(IStrategy):
    > python3 ./freqtrade/main.py -s Strategy001_custom_exit
    """

+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
@@ -23,6 +23,7 @@ class Supertrend(IStrategy):
    # Buy params, Sell params, ROI, Stoploss and Trailing Stop are values generated by 'freqtrade hyperopt --strategy Supertrend --hyperopt-loss ShortTradeDurHyperOptLoss --timerange=20210101- --timeframe=1h --spaces all'
    # It's encourage you find the values that better suites your needs and risk management strategies

+    INTERFACE_VERSION: int = 3
    # Buy hyperspace params:
    buy_params = {
        "buy_m1": 4,
@@ -18,6 +18,7 @@ class ADXMomentum(IStrategy):

    """

+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # adjust based on market conditions. We would recommend to keep it low for quick turn arounds
    # This attribute will be overridden if the config file contains "minimal_roi"
@@ -19,6 +19,7 @@ class AdxSmas(IStrategy):

    """

+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # adjust based on market conditions. We would recommend to keep it low for quick turn arounds
    # This attribute will be overridden if the config file contains "minimal_roi"
@@ -10,6 +10,7 @@ import freqtrade.vendor.qtpylib.indicators as qtpylib


 class CCIStrategy(IStrategy):
+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
@@ -29,6 +29,7 @@ class Low_BB(IStrategy):
        buy after crossing .98 * lower_bb and sell if trailing stop loss is hit
    """

+    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
@@ -29,7 +29,7 @@ class MACDStrategy(IStrategy):
    - Sell side: CCI between 0 and 700

    """
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION: int = 3

    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"