Convert to % as part of RPC to allow users to use unrounded ratio

docs/strategy-customization.md

@@ -415,7 +415,7 @@ At the top of the file, import Trade.
 from freqtrade.persistence import Trade
 ```
 
-The following example queries for the current pair and trades from today, however other filters easily be added.
+The following example queries for the current pair and trades from today, however other filters can easily be added.
 
 ``` python
 if self.config['runmode'] in ('live', 'dry_run'):
@@ -442,10 +442,10 @@ if self.config['runmode'] in ('live', 'dry_run'):
     performance = Trade.get_overall_performance()
 ```
 
-Sample return value: ETH/BTC had 5 trades, with a total profit of 1.5%.
+Sample return value: ETH/BTC had 5 trades, with a total profit of 1.5% (ratio of 0.015).
 
 ``` json
-{'pair': "ETH/BTC", 'profit': 1.5, 'count': 5}
+{'pair': "ETH/BTC", 'profit': 0.015, 'count': 5}
 ```
 
 !!! Warning

freqtrade/persistence.py

@@ -437,7 +437,7 @@ class Trade(_DECL_BASE):
         return total_open_stake_amount or 0
 
     @staticmethod
-    def get_overall_performance() -> List[Dict]:
+    def get_overall_performance() -> List[Dict[str, Any]]:
         """
         Returns List of dicts containing all Trades, including profit and trade count
         """
@@ -452,7 +452,7 @@ class Trade(_DECL_BASE):
         return [
             {
                 'pair': pair,
-                'profit': round(rate * 100, 2),
+                'profit': rate,
                 'count': count
             }
             for pair, rate, count in pair_rates

freqtrade/rpc/rpc.py

@@ -428,12 +428,15 @@ class RPC:
         else:
             return None
 
-    def _rpc_performance(self) -> List[Dict]:
+    def _rpc_performance(self) -> List[Dict[str, Any]]:
         """
         Handler for performance.
         Shows a performance statistic from finished trades
         """
-        return Trade.get_overall_performance()
+        pair_rates = Trade.get_overall_performance()
+        # Round and convert to %
+        [x.update({'profit': round(x['profit'] * 100, 2)}) for x in pair_rates]
+        return pair_rates
 
     def _rpc_count(self) -> Dict[str, float]:
         """ Returns the number of trades running """