diff --git a/docs/bot-basics.md b/docs/bot-basics.md
index 80443a0bf..67cc5cd1b 100644
--- a/docs/bot-basics.md
+++ b/docs/bot-basics.md
@@ -56,7 +56,11 @@ This loop will be repeated again and again until the bot is stopped.
 * Calculate buy / sell signals (calls `populate_buy_trend()` and `populate_sell_trend()` once per pair).
 * Loops per candle simulating entry and exit points.
   * Confirm trade buy / sell (calls `confirm_trade_entry()` and `confirm_trade_exit()` if implemented in the strategy).
+  * Call `custom_entry_price()` (if implemented in the strategy) to determine entry price (Prices are moved to be within the opening candle).
+  * Determine stake size by calling the `custom_stake_amount()` callback.
   * Call `custom_stoploss()` and `custom_sell()` to find custom exit points.
+  * Call `custom_exit_price()` to determine exit price (Prices are moved to be within the closing candle).
+
 * Generate backtest report output
 
 !!! Note
diff --git a/docs/strategy-callbacks.md b/docs/strategy-callbacks.md
index 7a7756652..869a985ae 100644
--- a/docs/strategy-callbacks.md
+++ b/docs/strategy-callbacks.md
@@ -387,8 +387,9 @@ class AwesomeStrategy(IStrategy):
     **Example**:  
     If the new_entryprice is 97, the proposed_rate is 100 and the `custom_price_max_distance_ratio` is set to 2%, The retained valid custom entry price will be 98, which is 2% below the current (proposed) rate.
 
-!!! Warning "No backtesting support"
-    Custom entry-prices are currently not supported during backtesting.
+!!! Warning "Backtesting"
+    While Custom prices are supported in backtesting (starting with 2021.12), prices will be moved to within the candle's high/low prices.
+    This behavior is currently in testing, and might be changed at a later point.
 
 ## Custom order timeout rules
 
diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index 1d28a91f5..a561502fa 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -342,10 +342,7 @@ class Backtesting:
                     # use Open rate if open_rate > calculated sell rate
                     return sell_row[OPEN_IDX]
 
-                # Use the maximum between close_rate and low as we
-                # cannot sell outside of a candle.
-                # Applies when a new ROI setting comes in place and the whole candle is above that.
-                return min(max(close_rate, sell_row[LOW_IDX]), sell_row[HIGH_IDX])
+                return close_rate
 
             else:
                 # This should not be reached...
@@ -373,6 +370,9 @@ class Backtesting:
                 pair=trade.pair, trade=trade,
                 current_time=sell_row[DATE_IDX],
                 proposed_rate=closerate, current_profit=current_profit)
+            # Use the maximum between close_rate and low as we cannot sell outside of a candle.
+            # Applies when a new ROI setting comes in place and the whole candle is above that.
+            closerate = min(max(closerate, sell_row[LOW_IDX]), sell_row[HIGH_IDX])
 
             # Confirm trade exit:
             time_in_force = self.strategy.order_time_in_force['sell']
@@ -437,6 +437,9 @@ class Backtesting:
             pair=pair, current_time=row[DATE_IDX].to_pydatetime(),
             proposed_rate=row[OPEN_IDX])  # default value is the open rate
 
+        # Move rate to within the candle's low/high rate
+        propose_rate = min(max(propose_rate, row[LOW_IDX]), row[HIGH_IDX])
+
         min_stake_amount = self.exchange.get_min_pair_stake_amount(pair, propose_rate, -0.05) or 0
         max_stake_amount = self.wallets.get_available_stake_amount()