Updated LocalTrade and Order classes

docs/advanced-hyperopt.md

@@ -55,7 +55,7 @@ Currently, the arguments are:
 
 * `results`: DataFrame containing the result  
     The following columns are available in results (corresponds to the output-file of backtesting when used with `--export trades`):  
-    `pair, profit_ratio, profit_abs, open_date, open_rate, fee_open, close_date, close_rate, fee_close, amount, trade_duration, is_open, sell_reason, stake_amount, min_rate, max_rate, stop_loss_ratio, stop_loss_abs`
+    `pair, profit_ratio, profit_abs, open_date, open_rate, fee_open, close_date, close_rate, fee_close, amount, trade_duration, is_open, close_reason, stake_amount, min_rate, max_rate, stop_loss_ratio, stop_loss_abs`
 * `trade_count`: Amount of trades (identical to `len(results)`)
 * `min_date`: Start date of the timerange used
 * `min_date`: End date of the timerange used

docs/sql_cheatsheet.md

@@ -65,7 +65,7 @@ SET is_open=0,
   close_rate=<close_rate>,
   close_profit = close_rate / open_rate - 1,
   close_profit_abs = (amount * <close_rate> * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))),
-  sell_reason=<sell_reason>
+  close_reason=<close_reason>
 WHERE id=<trade_ID_to_update>;
 ```
 
@@ -78,7 +78,7 @@ SET is_open=0,
   close_rate=0.19638016,
   close_profit=0.0496,
   close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))),
-  sell_reason='force_sell'  
+  close_reason='force_sell'  
 WHERE id=31;
 ```
 

docs/strategy-advanced.md

@@ -49,7 +49,7 @@ from freqtrade.exchange import timeframe_to_prev_date
 
 class AwesomeStrategy(IStrategy):
     def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float,
-                           rate: float, time_in_force: str, sell_reason: str,
+                           rate: float, time_in_force: str, close_reason: str,
                            current_time: 'datetime', **kwargs) -> bool:
         # Obtain pair dataframe.
         dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
@@ -490,7 +490,7 @@ class AwesomeStrategy(IStrategy):
     # ... populate_* methods
 
     def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
-                           rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
+                           rate: float, time_in_force: str, close_reason: str, **kwargs) -> bool:
         """
         Called right before placing a regular sell order.
         Timing for this function is critical, so avoid doing heavy computations or
@@ -505,14 +505,14 @@ class AwesomeStrategy(IStrategy):
         :param amount: Amount in quote currency.
         :param rate: Rate that's going to be used when using limit orders
         :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
-        :param sell_reason: Sell reason.
+        :param close_reason: Sell reason.
             Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
                            'sell_signal', 'force_sell', 'emergency_sell']
         :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
         :return bool: When True is returned, then the sell-order is placed on the exchange.
             False aborts the process
         """
-        if sell_reason == 'force_sell' and trade.calc_profit_ratio(rate) < 0:
+        if close_reason == 'force_sell' and trade.calc_profit_ratio(rate) < 0:
             # Reject force-sells with negative profit
             # This is just a sample, please adjust to your needs
             # (this does not necessarily make sense, assuming you know when you're force-selling)

docs/strategy_analysis_example.md

@@ -127,7 +127,7 @@ print(stats['strategy_comparison'])
 trades = load_backtest_data(backtest_dir)
 
 # Show value-counts per pair
-trades.groupby("pair")["sell_reason"].value_counts()
+trades.groupby("pair")["close_reason"].value_counts()
 ```
 
 ### Load live trading results into a pandas dataframe
@@ -142,7 +142,7 @@ from freqtrade.data.btanalysis import load_trades_from_db
 trades = load_trades_from_db("sqlite:///tradesv3.sqlite")
 
 # Display results
-trades.groupby("pair")["sell_reason"].value_counts()
+trades.groupby("pair")["close_reason"].value_counts()
 ```
 
 ## Analyze the loaded trades for trade parallelism

docs/webhook-config.md

@@ -132,7 +132,7 @@ Possible parameters are:
 * `profit_ratio`
 * `stake_currency`
 * `fiat_currency`
-* `sell_reason`
+* `close_reason`
 * `order_type`
 * `open_date`
 * `close_date`
@@ -154,7 +154,7 @@ Possible parameters are:
 * `profit_ratio`
 * `stake_currency`
 * `fiat_currency`
-* `sell_reason`
+* `close_reason`
 * `order_type`
 * `open_date`
 * `close_date`
@@ -176,7 +176,7 @@ Possible parameters are:
 * `profit_ratio`
 * `stake_currency`
 * `fiat_currency`
-* `sell_reason`
+* `close_reason`
 * `order_type`
 * `open_date`
 * `close_date`