diff --git a/docs/includes/protections.md b/docs/includes/protections.md
index e0ad8189f..736148cc4 100644
--- a/docs/includes/protections.md
+++ b/docs/includes/protections.md
@@ -25,6 +25,8 @@ All protection end times are rounded up to the next candle to avoid sudden, unex
 * [`MaxDrawdown`](#maxdrawdown) Stop trading if max-drawdown is reached.
 * [`LowProfitPairs`](#low-profit-pairs) Lock pairs with low profits
 * [`CooldownPeriod`](#cooldown-period) Don't enter a trade right after selling a trade.
+* [`ProfitLimit`](#profit-limit) Stop trading once a set profit limit is reached
+
 
 ### Common settings to all Protections
 
@@ -139,6 +141,27 @@ def protections(self):
     This Protection applies only at pair-level, and will never lock all pairs globally.
     This Protection does not consider `lookback_period` as it only looks at the latest trade.
 
+#### Profit Limit
+
+`ProfitLimit` uses all trades for a pair within `lookback_period` in minutes (or in candles when using `lookback_period_candles`) to determine the overall profit ratio.
+If that ratio is greater than `profit_limit`, all pairs will be locked for `stop_duration` in minutes (or in candles when using `stop_duration_candles`).
+
+The below example will stop trading a pair for 180 minutes if the total profit from all trades reaches 1% (and a minimum of 3 trades) within the last 6 candles.
+
+``` python
+@property
+def protections(self):
+    return [
+        {
+            "method": "ProfitLimit",
+            "lookback_period_candles": 6,
+            "trade_limit": 3,
+            "stop_duration": 180,
+            "profit_limit": 0.01
+        }
+    ]
+```
+
 ### Full example of Protections
 
 All protections can be combined at will, also with different parameters, creating a increasing wall for under-performing pairs.
@@ -151,6 +174,7 @@ The below example assumes a timeframe of 1 hour:
 * Stops trading if more than 4 stoploss occur for all pairs within a 1 day (`24 * 1h candles`) limit (`StoplossGuard`).
 * Locks all pairs that had 4 Trades within the last 6 hours (`6 * 1h candles`) with a combined profit ratio of below 0.02 (<2%) (`LowProfitPairs`).
 * Locks all pairs for 2 candles that had a profit of below 0.01 (<1%) within the last 24h (`24 * 1h candles`), a minimum of 4 trades.
+* Locks all pairs for 360 minutes once a profit of 0.02 (2%) is achieved within the last 800 candles , a minimum of 2 trades.
 
 ``` python
 from freqtrade.strategy import IStrategy
@@ -192,6 +216,13 @@ class AwesomeStrategy(IStrategy)
                 "trade_limit": 4,
                 "stop_duration_candles": 2,
                 "required_profit": 0.01
+            },
+            {
+                "method": "ProfitLimit",
+                "lookback_period_candles": 800,
+                "trade_limit": 2,
+                "stop_duration": 360,
+                "profit_limit": 0.02
             }
         ]
     # ...
diff --git a/freqtrade/constants.py b/freqtrade/constants.py
index 70f60867b..986ea8d0c 100644
--- a/freqtrade/constants.py
+++ b/freqtrade/constants.py
@@ -35,7 +35,8 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'ProducerPairList',
                        'AgeFilter', 'OffsetFilter', 'PerformanceFilter',
                        'PrecisionFilter', 'PriceFilter', 'RangeStabilityFilter',
                        'ShuffleFilter', 'SpreadFilter', 'VolatilityFilter']
-AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
+AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown',
+                         'StoplossGuard', 'ProfitLimit']
 AVAILABLE_DATAHANDLERS_TRADES = ['json', 'jsongz', 'hdf5']
 AVAILABLE_DATAHANDLERS = AVAILABLE_DATAHANDLERS_TRADES + ['feather', 'parquet']
 BACKTEST_BREAKDOWNS = ['day', 'week', 'month']
diff --git a/freqtrade/plugins/protections/profit_limit.py b/freqtrade/plugins/protections/profit_limit.py
new file mode 100644
index 000000000..ed481e27f
--- /dev/null
+++ b/freqtrade/plugins/protections/profit_limit.py
@@ -0,0 +1,87 @@
+
+import logging
+from datetime import datetime, timedelta
+from typing import Any, Dict, Optional
+
+from freqtrade.constants import Config, LongShort
+from freqtrade.persistence import Trade
+from freqtrade.plugins.protections import IProtection, ProtectionReturn
+
+
+logger = logging.getLogger(__name__)
+
+
+class ProfitLimit(IProtection):
+
+    has_global_stop: bool = True
+    has_local_stop: bool = False
+
+    def __init__(self, config: Config, protection_config: Dict[str, Any]) -> None:
+        super().__init__(config, protection_config)
+
+        self._trade_limit = protection_config.get('trade_limit', 1)
+        self._required_profit = protection_config.get('profit_limit', 1.0)
+
+    def short_desc(self) -> str:
+        """
+        Short method description - used for startup-messages
+        """
+        return (f"{self.name} - Profit Limit Protection, locks all pairs when "
+                f"profit > {self._required_profit} within {self.lookback_period_str}.")
+
+    def _reason(self, profit: float) -> str:
+        """
+        LockReason to use
+        """
+        return (f'{profit} > {self._required_profit} in {self.lookback_period_str}, '
+                f'locking for {self.stop_duration_str}.')
+
+    def _limit_profit(
+            self, date_now: datetime) -> Optional[ProtectionReturn]:
+        """
+        Evaluate recent trades for pair
+        """
+        look_back_until = date_now - timedelta(minutes=self._lookback_period)
+
+        trades = Trade.get_trades_proxy(is_open=False, close_date=look_back_until)
+
+        if len(trades) < self._trade_limit:
+            # Not enough trades in the relevant period
+            return None
+
+        profit_sum = sum(trade.close_profit_abs for trade in trades if trade.close_profit_abs)
+        stake_sum = sum(trade.stake_amount for trade in trades)
+        profit_ratio = profit_sum / stake_sum
+
+        if profit_ratio >= self._required_profit:
+            self.log_once(
+                f"Trading stopped due to {profit_ratio:.2f} >= {self._required_profit} "
+                f"within {self._lookback_period} minutes.", logger.info)
+            until = self.calculate_lock_end(trades, self._stop_duration)
+
+            return ProtectionReturn(
+                lock=True,
+                until=until,
+                reason=self._reason(profit_ratio)
+            )
+
+        return None
+
+    def global_stop(self, date_now: datetime, side: LongShort) -> Optional[ProtectionReturn]:
+        """
+        Stops trading (position entering) for all pairs
+        This must evaluate to true for the whole period of the "cooldown period".
+        :return: Tuple of [bool, until, reason].
+            If true, all pairs will be locked with <reason> until <until>
+        """
+        return self._limit_profit(date_now)
+
+    def stop_per_pair(
+            self, pair: str, date_now: datetime, side: LongShort) -> Optional[ProtectionReturn]:
+        """
+        Stops trading (position entering) for this pair
+        This must evaluate to true for the whole period of the "cooldown period".
+        :return: Tuple of [bool, until, reason].
+            If true, this pair will be locked with <reason> until <until>
+        """
+        return None