Add INterface_version to all strategies

user_data/strategies/BreakEven.py

@@ -27,6 +27,7 @@ class BreakEven(IStrategy):
 
     """
 
+    INTERFACE_VERSION: int = 3
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {
         "0": 0.01,      # at least 1% at first

user_data/strategies/Diamond.py

@@ -55,6 +55,7 @@ class Diamond(IStrategy):
     #    Config: 5 x UNLIMITED STOCK costume pair list,
     #    hyperopt : 5000 x SortinoHyperOptLossDaily,
     #    34/5000: 297 trades. 136/156/5 Wins/Draws/Losses. Avg profit   0.49%. Median profit   0.00%. Total profit  45.84477237 USDT (  33.96Σ%). Avg duration 11:54:00 min. Objective: -46.50379
+    INTERFACE_VERSION: int = 3
 
     # Buy hyperspace params:
     buy_params = {

user_data/strategies/GodStra.py

@@ -38,6 +38,7 @@ class GodStra(IStrategy):
     # | * Best |   2/500 |       10 |      7    0    3 |       18.76% |  983.46414442 USDT  (187.58%) |        360.0 m |    -4.32665 |
     # | * Best |   5/500 |        9 |      8    0    1 |       21.83% | 1,060.11476586 USDT  (196.50%) |      3,440.0 m |     -7.0696 |
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         'buy-cross-0': 'volatility_kcc',

user_data/strategies/Heracles.py

@@ -29,6 +29,7 @@ class Heracles(IStrategy):
     ########################################## RESULT PASTE PLACE ##########################################
     # 10/100:     25 trades. 18/4/3 Wins/Draws/Losses. Avg profit   5.92%. Median profit   6.33%. Total profit  0.04888306 BTC (  48.88Σ%). Avg duration 4 days, 6:24:00 min. Objective: -11.42103
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_crossed_indicator_shift": 9,

user_data/strategies/HourBasedStrategy.py

@@ -49,6 +49,7 @@ class HourBasedStrategy(IStrategy):
     # {KDA/USDT, BTC/USDT, DOGE/USDT, SAND/USDT, ETH/USDT, SOL/USDT}, 1000$x1:100days, ShuffleFilter42
     # 56/1000:     63 trades. 41/19/3 Wins/Draws/Losses. Avg profit   4.60%. Median profit   8.89%. Total profit  11596.50333022 USDT ( 1159.65%). Avg duration 1 day, 14:46:00 min. Objective: -5.76694
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_hour_max": 24,

user_data/strategies/Strategy001.py

@@ -20,6 +20,7 @@ class Strategy001(IStrategy):
     > python3 ./freqtrade/main.py -s Strategy001
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/Strategy002.py

@@ -21,6 +21,7 @@ class Strategy002(IStrategy):
     > python3 ./freqtrade/main.py -s Strategy002
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/Strategy003.py

@@ -21,6 +21,7 @@ class Strategy003(IStrategy):
     > python3 ./freqtrade/main.py -s Strategy003
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/Strategy004.py

@@ -20,6 +20,7 @@ class Strategy004(IStrategy):
     > python3 ./freqtrade/main.py -s Strategy004
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/Strategy005.py

@@ -20,7 +20,7 @@ class Strategy005(IStrategy):
     How to use it?
     > python3 ./freqtrade/main.py -s Strategy005
     """
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION = 3
 
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"

user_data/strategies/Swing-High-To-Sky.py

@@ -34,7 +34,7 @@ rsiSellVal = 88
 
 
 class SwingHighToSky(IStrategy):
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION = 3
 
     timeframe = '15m'
 

user_data/strategies/berlinguyinca/ASDTSRockwellTrading.py

@@ -31,6 +31,7 @@ class ASDTSRockwellTrading(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 = {

user_data/strategies/berlinguyinca/AverageStrategy.py

@@ -18,6 +18,7 @@ class AverageStrategy(IStrategy):
         buys and sells on crossovers - doesn't really perfom that well and its just a proof of concept
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/AwesomeMacd.py

@@ -19,6 +19,7 @@ class AwesomeMacd(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"

user_data/strategies/berlinguyinca/BbandRsi.py

@@ -19,6 +19,7 @@ class BbandRsi(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"

user_data/strategies/berlinguyinca/BinHV27.py

@@ -22,7 +22,7 @@ class BinHV27(IStrategy):
         strategy sponsored by user BinH from slack
 
     """
-
+    INTERFACE_VERSION: int = 3
     minimal_roi = {
         "0": 1
     }
@@ -92,7 +92,7 @@ class BinHV27(IStrategy):
             ),
             'enter_long'] = 1
         return dataframe
-        
+
     def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         dataframe.loc[
             (

user_data/strategies/berlinguyinca/BinHV45.py

@@ -18,7 +18,7 @@ def bollinger_bands(stock_price, window_size, num_of_std):
 
 
 class BinHV45(IStrategy):
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION: int = 3
 
     minimal_roi = {
         "0": 0.0125

user_data/strategies/berlinguyinca/ClucMay72018.py

@@ -26,6 +26,7 @@ class ClucMay72018(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 = {

user_data/strategies/berlinguyinca/CofiBitStrategy.py

@@ -14,6 +14,7 @@ class CofiBitStrategy(IStrategy):
         taken from slack by user CofiBit
     """
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_fastx": 25,

user_data/strategies/berlinguyinca/CombinedBinHAndCluc.py

@@ -20,6 +20,7 @@ class CombinedBinHAndCluc(IStrategy):
     #   so it is better to increase "stake_amount" value rather then "max_open_trades" to get more profit
     # - if the market is constantly green(like in JAN 2018) the best performance is reached with
     #   "max_open_trades" = 2 and minimal_roi = 0.01
+    INTERFACE_VERSION: int = 3
     minimal_roi = {
         "0": 0.05
     }

user_data/strategies/berlinguyinca/DoesNothingStrategy.py

@@ -13,6 +13,7 @@ class DoesNothingStrategy(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"

user_data/strategies/berlinguyinca/EMASkipPump.py

@@ -15,6 +15,7 @@ class EMASkipPump(IStrategy):
         basic strategy, which trys to avoid pump and dump market conditions. Shared from the tradingview
         slack
     """
+    INTERFACE_VERSION: int = 3
     EMA_SHORT_TERM = 5
     EMA_MEDIUM_TERM = 12
     EMA_LONG_TERM = 21

user_data/strategies/berlinguyinca/Freqtrade_backtest_validation_freqtrade1.py

@@ -14,6 +14,7 @@ import freqtrade.vendor.qtpylib.indicators as qtpylib
 
 
 class Freqtrade_backtest_validation_freqtrade1(IStrategy):
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     minimal_roi = {
         "40": 2.0,

user_data/strategies/berlinguyinca/MACDStrategy_crossed.py

@@ -20,6 +20,7 @@ class MACDStrategy_crossed(IStrategy):
             and CCI > 100
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/MultiRSI.py

@@ -14,6 +14,7 @@ class MultiRSI(IStrategy):
     based on work from Creslin
 
     """
+    INTERFACE_VERSION: int = 3
     minimal_roi = {
         "0": 0.01
     }

user_data/strategies/berlinguyinca/Quickie.py

@@ -18,6 +18,7 @@ class Quickie(IStrategy):
         momentum based strategie. The main idea is that it closes trades very quickly, while avoiding excessive losses. Hence a rather moderate stop loss in this case
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/ReinforcedAverageStrategy.py

@@ -20,6 +20,7 @@ class ReinforcedAverageStrategy(IStrategy):
         buys and sells on crossovers - doesn't really perfom that well and its just a proof of concept
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/ReinforcedQuickie.py

@@ -27,6 +27,7 @@ class ReinforcedQuickie(IStrategy):
         only buy on an upward tending market
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/ReinforcedSmoothScalp.py

@@ -18,6 +18,7 @@ class ReinforcedSmoothScalp(IStrategy):
         we recommend to have at least 60 parallel trades at any time to cover non avoidable losses
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/Scalp.py

@@ -16,6 +16,7 @@ class Scalp(IStrategy):
         Recommended is to only sell based on ROI for this strategy
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/Simple.py

@@ -20,6 +20,7 @@ class Simple(IStrategy):
         https://www.amazon.com/Simple-Strategy-Powerful-Trading-Futures-ebook/dp/B00E66QPCG/ref=sr_1_1?ie=UTF8&qid=1525202675&sr=8-1&keywords=the+simple+strategy
     """
 
+    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"

user_data/strategies/berlinguyinca/SmoothOperator.py

@@ -23,6 +23,7 @@ class SmoothOperator(IStrategy):
     a none completed peak shape.
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # we only sell after 100%, unless our sell points are found before
     minimal_roi = {

user_data/strategies/berlinguyinca/SmoothScalp.py

@@ -22,6 +22,7 @@ class SmoothScalp(IStrategy):
         we recommend to have at least 60 parallel trades at any time to cover non avoidable losses
     """
 
+    INTERFACE_VERSION: int = 3
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi"
     minimal_roi = {

user_data/strategies/berlinguyinca/TDSequentialStrategy.py

@@ -21,7 +21,7 @@ class TDSequentialStrategy(IStrategy):
 
     Created by @bmoulkaf
     """
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION: int = 3
 
     # Minimal ROI designed for the strategy
     minimal_roi = {'0': 5}

user_data/strategies/berlinguyinca/TechnicalExampleStrategy.py

@@ -5,6 +5,7 @@ from freqtrade.strategy import IStrategy
 
 
 class TechnicalExampleStrategy(IStrategy):
+    INTERFACE_VERSION: int = 3
     minimal_roi = {
         "0": 0.01
     }

user_data/strategies/custom_stoploss_with_psar.py

@@ -23,6 +23,7 @@ class CustomStoplossWithPSAR(IStrategy):
 
     the populate_entry_trend() function is pretty nonsencial
     """
+    INTERFACE_VERSION: int = 3
     timeframe = '1h'
     stoploss = -0.2
     custom_info = {}

user_data/strategies/fixed_riskreward_loss.py

@@ -29,6 +29,7 @@ class FixedRiskRewardLoss(IStrategy):
     losses by setting it to the buy rate + fees.
     """
 
+    INTERFACE_VERSION: int = 3
     custom_info = {
         'risk_reward_ratio': 3.5,
         'set_to_break_even_at_profit': 1,

user_data/strategies/futures/f_ott_strategy.py

@@ -12,6 +12,7 @@ class FOttStrategy(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
     # ROI table:
     minimal_roi = {"0": 0.1, "30": 0.75, "60": 0.05, "120": 0.025}
     # minimal_roi = {"0": 1}

user_data/strategies/futures/f_supertrend_strategy.py

@@ -23,6 +23,7 @@ class FSupertrendStrategy(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,

user_data/strategies/hlhb.py

@@ -14,7 +14,7 @@ class hlhb(IStrategy):
     More information in https://www.babypips.com/trading/forex-hlhb-system-explained
     """
 
-    INTERFACE_VERSION = 2
+    INTERFACE_VERSION: int = 3
 
     position_stacking = "True"
 

user_data/strategies/lookahead_bias/DevilStra.py

@@ -536,6 +536,7 @@ class DevilStra(IStrategy):
     # #################### RESULT PASTE PLACE ####################
     # 16/16:    108 trades. 75/18/15 Wins/Draws/Losses. Avg profit   7.77%. Median profit   8.89%. Total profit  0.08404983 BTC (  84.05Σ%). Avg duration 3 days, 6:49:00 min. Objective: -11.22849
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_spell": "Zi,Lu,Ra,Ra,La,Si,Pa,Si,Cu,La,De,Lu,De,La,Zi,Zi,Zi,Zi,Zi,Lu,Lu,Lu,Si,La,Ra,Pa,La,Zi,Zi,Gu,Ra,De,Gu,Zi,Ra,Ra,Ra,Cu,Pa,De,De,La,Lu,Lu,Lu,La,Zi,Cu,Ra,Gu,Pa,La,Zi,Zi,Si,Lu,Ra,Cu,Cu,Pa,Si,Gu,De,De,Lu,Gu,Zi,Pa,Lu,Pa,Ra,Gu,Cu,La,Pa,Lu,Zi,La,Zi,Gu,Zi,De,Cu,Ra,Lu,Ra,Gu,Si,Ra,La,La,Lu,Gu,Zi,Si,La,Pa,Pa,Cu,Cu,Zi,Gu,Pa,Zi,Pa,Cu,Lu,Pa,Si,De,Gu,Lu,Lu,Cu,Ra,Si,Pa,Gu,Si,Cu,Pa,Zi,Pa,Zi,Gu,Lu,Ra,Pa,Ra,De,Ra,Pa,Zi,La,Pa,De,Pa,Cu,Gu,De,Lu,La,Ra,Zi,Si,Zi,Zi,Cu,Cu,De,Pa,Pa,Zi,De,Ra,La,Lu,De,Lu,Gu,Cu,Cu,La,De,Gu,Lu,Ra,Pa,Lu,Cu,Pa,Pa,De,Si,Zi,Cu,De,De,De,Lu,Si,Zi,Gu,Si,Si,Ra,Pa,Si,La,La,Lu,Lu,De,Gu,Gu,Zi,Ra,La,Lu,Lu,La,Si,Zi,Si,Zi,Si,Lu,Cu,Zi,Lu,De,La,Ra,Ra,Lu,De,Pa,Zi,Gu,Cu,Zi,Pa,De,Si,Lu,De,Cu,De,Zi,Ra,Gu,De,Si,Lu,Lu,Ra,De,Gu,Cu,Gu,La,De,Lu,Lu,Si,Cu,Lu,Zi,Lu,Cu,Gu,Lu,Lu,Ra,Si,Ra,Pa,Lu,De,Ra,Zi,Gu,Gu,Zi,Lu,Cu,Cu,Cu,Lu",

user_data/strategies/lookahead_bias/GodStraNew.py

@@ -459,6 +459,7 @@ def condition_generator(dataframe, operator, indicator, crossed_indicator, real_
 
 class GodStraNew(IStrategy):
     # #################### RESULTS PASTE PLACE ####################
+    INTERFACE_VERSION: int = 3
     # ROI table:
     minimal_roi = {
         "0": 0.598,

user_data/strategies/lookahead_bias/Zeus.py

@@ -33,6 +33,7 @@ class Zeus(IStrategy):
     # "timeframe": "4h",
     # "dry_run_wallet": 0.1,
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_cat": "<R",

user_data/strategies/lookahead_bias/wtc.py

@@ -45,6 +45,7 @@ class wtc(IStrategy):
     # "timeframe": "30m",
     # "dry_run_wallet": 0.1,
 
+    INTERFACE_VERSION: int = 3
     # Buy hyperspace params:
     buy_params = {
         "buy_max": 0.9609,

user_data/strategies/mabStra.py

@@ -14,6 +14,7 @@ import talib.abstract as ta
 
 class mabStra(IStrategy):
 
+    INTERFACE_VERSION: int = 3
     # #################### RESULTS PASTE PLACE ####################
     # ROI table:
     minimal_roi = {