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@ -167,12 +167,23 @@ class Order(_DECL_BASE):
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def to_json(self) -> Dict[str, Any]:
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def to_json(self) -> Dict[str, Any]:
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return {
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return {
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'cost': self.cost if self.cost else 0,
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'amount': self.amount,
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'amount': self.amount,
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'price': self.price,
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'average': round(self.average, 8) if self.average else 0,
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'average': round(self.average, 8) if self.average else 0,
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'cost': self.cost if self.cost else 0,
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'filled': self.filled,
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'ft_order_side': self.ft_order_side,
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'order_date': self.order_date.strftime(DATETIME_PRINT_FORMAT)
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if self.order_date else None,
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'order_timestamp': int(self.order_date.replace(
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tzinfo=timezone.utc).timestamp() * 1000) if self.order_date else None,
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'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
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'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
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if self.order_filled_date else None
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if self.order_filled_date else None,
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'order_filled_timestamp': int(self.order_filled_date.replace(
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tzinfo=timezone.utc).timestamp() * 1000) if self.order_filled_date else None,
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'order_type': self.order_type,
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'price': self.price,
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'remaining': self.remaining,
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'status': self.status,
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}
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}
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@staticmethod
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@staticmethod
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@ -292,11 +303,15 @@ class LocalTrade():
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return self.close_date.replace(tzinfo=timezone.utc)
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return self.close_date.replace(tzinfo=timezone.utc)
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def to_json(self) -> Dict[str, Any]:
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def to_json(self) -> Dict[str, Any]:
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fill_buy = self.select_filled_orders('buy')
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filled_orders = self.select_filled_orders()
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buys_json = dict()
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filled_buys = []
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if len(fill_buy) > 0:
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filled_sells = []
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for x in range(len(fill_buy)):
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if len(filled_orders) > 0:
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buys_json[str(x)] = fill_buy[x].to_json()
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for x in range(len(filled_orders)):
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if filled_orders[x].ft_order_side == 'buy':
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filled_buys.append(filled_orders[x].to_json())
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elif filled_orders[x].ft_order_side == 'sell':
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filled_sells.append(filled_orders[x].to_json())
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return {
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return {
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'trade_id': self.id,
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'trade_id': self.id,
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@ -361,7 +376,8 @@ class LocalTrade():
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'max_rate': self.max_rate,
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'max_rate': self.max_rate,
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'open_order_id': self.open_order_id,
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'open_order_id': self.open_order_id,
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'filled_buys': buys_json,
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'filled_buys': filled_buys,
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'filled_sells': filled_sells,
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}
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}
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@staticmethod
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@staticmethod
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@ -631,14 +647,14 @@ class LocalTrade():
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else:
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else:
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return None
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return None
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def select_filled_orders(self, order_side: str) -> List['Order']:
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def select_filled_orders(self, order_side: Optional[str] = None) -> List['Order']:
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"""
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"""
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Finds filled orders for this orderside.
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Finds filled orders for this orderside.
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:param order_side: Side of the order (either 'buy' or 'sell')
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:param order_side: Side of the order (either 'buy', 'sell', or None)
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:return: array of Order objects
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:return: array of Order objects
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"""
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"""
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return [o for o in self.orders if o.ft_order_side == order_side and
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return [o for o in self.orders if ((o.ft_order_side == order_side) or (order_side is None))
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o.ft_is_open is False and
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and o.ft_is_open is False and
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(o.filled or 0) > 0 and
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(o.filled or 0) > 0 and
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o.status in NON_OPEN_EXCHANGE_STATES]
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o.status in NON_OPEN_EXCHANGE_STATES]
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@ -375,37 +375,37 @@ class Telegram(RPCHandler):
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"""
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"""
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lines = []
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lines = []
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for x in range(len(filled_trades)):
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for x in range(len(filled_trades)):
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cur_buy_date = arrow.get(filled_trades[str(x)]["order_filled_date"])
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current_buy_datetime = arrow.get(filled_trades[x]["order_filled_date"])
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cur_buy_amount = filled_trades[str(x)]["amount"]
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cur_buy_amount = filled_trades[x]["amount"]
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cur_buy_average = filled_trades[str(x)]["average"]
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cur_buy_average = filled_trades[x]["average"]
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lines.append(" ")
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lines.append(" ")
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if x == 0:
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if x == 0:
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lines.append("*Buy #{}:*".format(x+1))
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lines.append("*Buy #{}:*".format(x+1))
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lines.append("*Buy Amount:* {} ({:.8f} {})"
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lines.append("*Buy Amount:* {} ({:.8f} {})"
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.format(cur_buy_amount, filled_trades[str(x)]["cost"], base_currency))
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.format(cur_buy_amount, filled_trades[x]["cost"], base_currency))
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lines.append("*Average Buy Price:* {}".format(cur_buy_average))
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lines.append("*Average Buy Price:* {}".format(cur_buy_average))
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else:
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else:
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sumA = 0
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sumA = 0
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sumB = 0
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sumB = 0
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for y in range(x):
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for y in range(x):
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sumA += (filled_trades[str(y)]["amount"] * filled_trades[str(y)]["average"])
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sumA += (filled_trades[y]["amount"] * filled_trades[y]["average"])
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sumB += filled_trades[str(y)]["amount"]
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sumB += filled_trades[y]["amount"]
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prev_avg_price = sumA/sumB
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prev_avg_price = sumA/sumB
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price_to_1st_buy = (cur_buy_average - filled_trades["0"]["average"]) \
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price_to_1st_buy = (cur_buy_average - filled_trades[0]["average"]) \
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/ filled_trades["0"]["average"]
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/ filled_trades[0]["average"]
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minus_on_buy = (cur_buy_average - prev_avg_price)/prev_avg_price
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minus_on_buy = (cur_buy_average - prev_avg_price)/prev_avg_price
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dur_buys = cur_buy_date - arrow.get(filled_trades[str(x-1)]["order_filled_date"])
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dur_buys = current_buy_datetime - arrow.get(filled_trades[x-1]["order_filled_date"])
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days = dur_buys.days
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days = dur_buys.days
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hours, remainder = divmod(dur_buys.seconds, 3600)
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hours, remainder = divmod(dur_buys.seconds, 3600)
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minutes, seconds = divmod(remainder, 60)
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minutes, seconds = divmod(remainder, 60)
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lines.append("*Buy #{}:* at {:.2%} avg profit".format(x+1, minus_on_buy))
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lines.append("*Buy #{}:* at {:.2%} avg profit".format(x+1, minus_on_buy))
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lines.append("({})".format(cur_buy_date
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lines.append("({})".format(current_buy_datetime
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.humanize(granularity=["day", "hour", "minute"])))
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.humanize(granularity=["day", "hour", "minute"])))
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lines.append("*Buy Amount:* {} ({:.8f} {})"
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lines.append("*Buy Amount:* {} ({:.8f} {})"
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.format(cur_buy_amount, filled_trades[str(x)]["cost"], base_currency))
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.format(cur_buy_amount, filled_trades[x]["cost"], base_currency))
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lines.append("*Average Buy Price:* {} ({:.2%} from 1st buy rate)"
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lines.append("*Average Buy Price:* {} ({:.2%} from 1st buy rate)"
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.format(cur_buy_average, price_to_1st_buy))
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.format(cur_buy_average, price_to_1st_buy))
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lines.append("*Filled at:* {}".format(filled_trades[str(x)]["order_filled_date"]))
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lines.append("*Order filled at:* {}".format(filled_trades[x]["order_filled_date"]))
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lines.append("({}d {}h {}m {}s from previous buy)"
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lines.append("({}d {}h {}m {}s from previous buy)"
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.format(days, hours, minutes, seconds))
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.format(days, hours, minutes, seconds))
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return lines
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return lines
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@ -437,7 +437,6 @@ class Telegram(RPCHandler):
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messages = []
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messages = []
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for r in results:
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for r in results:
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r['open_date_hum'] = arrow.get(r['open_date']).humanize()
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r['open_date_hum'] = arrow.get(r['open_date']).humanize()
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r['filled_buys'] = r.get('filled_buys', [])
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r['num_buys'] = len(r['filled_buys'])
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r['num_buys'] = len(r['filled_buys'])
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r['sell_reason'] = r.get('sell_reason', "")
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r['sell_reason'] = r.get('sell_reason', "")
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r['position_adjustment_enable'] = r.get('position_adjustment_enable', False)
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r['position_adjustment_enable'] = r.get('position_adjustment_enable', False)
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@ -109,8 +109,12 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
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'open_order': None,
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'open_order': None,
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'exchange': 'binance',
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'exchange': 'binance',
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'position_adjustment_enable': False,
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'position_adjustment_enable': False,
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'filled_buys': {'0': {'amount': 91.07468123, 'average': 1.098e-05,
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'filled_buys': [{'amount': 91.07468123, 'average': 1.098e-05,
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'cost': 0.0009999999999054, 'order_filled_date': ANY, 'price': 1.098e-05}},
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'cost': 0.0009999999999054, 'filled': 91.07468123, 'ft_order_side': 'buy',
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'order_date': ANY, 'order_timestamp': ANY, 'order_filled_date': ANY,
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'order_filled_timestamp': ANY, 'order_type': 'limit', 'price': 1.098e-05,
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'remaining': ANY, 'status': ANY}],
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'filled_sells': []
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}
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}
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mocker.patch('freqtrade.exchange.Exchange.get_rate',
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mocker.patch('freqtrade.exchange.Exchange.get_rate',
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@ -179,8 +183,12 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
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'open_order': None,
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'open_order': None,
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'exchange': 'binance',
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'exchange': 'binance',
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'position_adjustment_enable': False,
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'position_adjustment_enable': False,
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'filled_buys': {'0': {'amount': 91.07468123, 'average': 1.098e-05,
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'filled_buys': [{'amount': 91.07468123, 'average': 1.098e-05,
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'cost': 0.0009999999999054, 'order_filled_date': ANY, 'price': 1.098e-05}},
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'cost': 0.0009999999999054, 'filled': 91.07468123, 'ft_order_side': 'buy',
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'order_date': ANY, 'order_timestamp': ANY, 'order_filled_date': ANY,
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'order_filled_timestamp': ANY, 'order_type': 'limit', 'price': 1.098e-05,
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'remaining': ANY, 'status': ANY}],
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'filled_sells': []
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}
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}
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@ -201,7 +201,8 @@ def test_telegram_status(default_conf, update, mocker) -> None:
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'stoploss_current_dist_ratio': -0.0002,
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'stoploss_current_dist_ratio': -0.0002,
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'stop_loss_ratio': -0.0001,
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'stop_loss_ratio': -0.0001,
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'open_order': '(limit buy rem=0.00000000)',
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'open_order': '(limit buy rem=0.00000000)',
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'is_open': True
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'is_open': True,
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'filled_buys': []
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}]),
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}]),
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)
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)
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@ -903,7 +903,8 @@ def test_to_json(default_conf, fee):
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'buy_tag': None,
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'buy_tag': None,
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'timeframe': None,
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'timeframe': None,
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'exchange': 'binance',
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'exchange': 'binance',
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'filled_buys': {}
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'filled_buys': [],
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'filled_sells': []
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}
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}
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# Simulate dry_run entries
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# Simulate dry_run entries
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@ -971,7 +972,8 @@ def test_to_json(default_conf, fee):
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'buy_tag': 'buys_signal_001',
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'buy_tag': 'buys_signal_001',
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'timeframe': None,
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'timeframe': None,
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'exchange': 'binance',
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'exchange': 'binance',
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'filled_buys': {}
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'filled_buys': [],
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'filled_sells': []
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}
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}
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