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3 Commits
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...
66a18a6406
Author | SHA1 | Date | |
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66a18a6406 | |||
5c2eeae043 | |||
c0c1ccde8b |
@ -117,6 +117,16 @@ class OANDAExchange(BaseExchange):
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items.append(item)
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return items
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def close_position(self, side, symbol):
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data = {
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f"{side}Units": "ALL",
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}
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r = positions.PositionClose(
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accountID=self.account_id, instrument=symbol, data=data
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)
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response = self.call(r)
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return response
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def close_all_positions(self):
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# all_positions = self.get_all_positions()
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@ -124,5 +134,4 @@ class OANDAExchange(BaseExchange):
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# print("POS ITER", position)
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r = positions.PositionClose(accountID=self.account_id)
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response = self.call(r)
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print("CLOSE ALL POSITIONS", response)
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return response
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@ -8,6 +8,37 @@ from core.util import logs
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log = logs.get_logger(__name__)
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def crossfilter(account, symbol, direction, func):
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"""
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Determine if we are betting against ourselves.
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Checks open positions for the account, rejecting the trade if there is one
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with an opposite direction to this one.
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:param account: Account object
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:param symbol: Symbol
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:param direction: Direction of the trade
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:param func: Whether we are checking entries or exits
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:return: dict of action and opposing position, or False
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"""
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position_info = account.client.get_position_info(symbol)
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if direction == "buy":
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opposing_side = "short"
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elif direction == "sell":
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opposing_side = "long"
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opposing_position_info = position_info[opposing_side]
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if opposing_position_info["units"] != "0":
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if func == "entry":
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return {"action": "rejected", "positions": opposing_position_info}
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elif func == "exit":
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# Pass back opposing side so we can close it
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return {
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"action": "close",
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"side": opposing_side,
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"positions": opposing_position_info,
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}
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return False
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def get_pair(account, base, quote, invert=False):
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"""
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Get the pair for the given account and currencies.
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@ -258,13 +289,15 @@ def get_price_bound(direction, strategy, price, current_price):
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return price_bound
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def execute_strategy(callback, strategy):
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def execute_strategy(callback, strategy, func):
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"""
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Execute a strategy.
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:param callback: Callback object
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:param strategy: Strategy object
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"""
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# Only check times for entries. We can always exit trades.
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if func == "entry":
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# Check if we can trade now!
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now_utc = datetime.utcnow()
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trading_times = strategy.trading_times.all()
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@ -276,10 +309,6 @@ def execute_strategy(callback, strategy):
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log.debug("Not within trading time range")
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return
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# Get the account's balance in the native account currency
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cash_balance = strategy.account.client.get_balance()
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log.debug(f"Cash balance: {cash_balance}")
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# Instruments supported by the account
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if not strategy.account.instruments:
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strategy.account.update_info()
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@ -329,12 +358,34 @@ def execute_strategy(callback, strategy):
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price = round(D(callback.price), display_precision)
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log.debug(f"Extracted price of quote: {price}")
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type = strategy.order_type
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current_price = get_price(account, direction, symbol)
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log.debug(f"Callback price: {price}")
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log.debug(f"Current price: {current_price}")
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# Calculate price bound and round to the display precision
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price_bound = get_price_bound(direction, strategy, price, current_price)
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if not price_bound:
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return
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price_bound = round(price_bound, display_precision)
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# Callback now verified
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if func == "exit":
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check_exit = crossfilter(account, symbol, direction, func)
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if not check_exit:
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log.debug("Exit conditions not met.")
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return
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if check_exit["action"] == "close":
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log.debug(f"Closing position on exit signal: {symbol}")
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side = check_exit["side"]
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response = account.client.close_position(side, symbol)
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log.debug(f"Close position response: {response}")
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return
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type = strategy.order_type
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# Get the account's balance in the native account currency
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cash_balance = strategy.account.client.get_balance()
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log.debug(f"Cash balance: {cash_balance}")
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# Convert the trade size, which is currently in the account's base currency,
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# to the base currency of the pair we are trading
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trade_size_in_base = get_trade_size_in_base(
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@ -349,12 +400,6 @@ def execute_strategy(callback, strategy):
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if "tsl" in protection:
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trailing_stop_loss = protection["tsl"]
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# Calculate price bound and round to the display precision
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price_bound = get_price_bound(direction, strategy, price, current_price)
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if not price_bound:
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return
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price_bound = round(price_bound, display_precision)
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# Create object, note that the amount is rounded to the trade precision
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new_trade = Trade.objects.create(
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user=user,
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@ -378,6 +423,19 @@ def execute_strategy(callback, strategy):
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round(trailing_stop_loss, display_precision)
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)
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new_trade.save()
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# Run the crossfilter to ensure we don't trade the same pair in opposite directions
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filtered = crossfilter(account, symbol, direction, func)
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# TP/SL calculation and get_trade_size_in_base are wasted here, but it's important
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# to record the decision in the Trade object. We can only get it after we do those.
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# It shows what would be done.
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if filtered:
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log.debug(f"Trade filtered. Action: {filtered['action']}")
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if filtered["action"] == "rejected":
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new_trade.status = "rejected"
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new_trade.save()
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else:
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info = new_trade.post()
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log.debug(f"Posted trade: {info}")
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@ -394,7 +452,7 @@ def process_callback(callback):
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if callback.hook.user != strategy.user:
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log.error("Ownership differs between callback and strategy.")
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continue
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execute_strategy(callback, strategy)
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execute_strategy(callback, strategy, func="entry")
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# Scan for exit
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log.debug("Scanning for entry strategies...")
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@ -405,4 +463,4 @@ def process_callback(callback):
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if callback.hook.user != strategy.user:
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log.error("Ownership differs between callback and strategy.")
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continue
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execute_strategy(callback, strategy)
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execute_strategy(callback, strategy, func="exit")
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@ -270,7 +270,7 @@ class PositionDetailsNested(BaseModel):
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dividendAdjustment: str
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guaranteedExecutionFees: str
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unrealizedPL: str
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marginUsed: str
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marginUsed: str | None
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class PositionDetails(BaseModel):
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@ -459,3 +459,134 @@ PricingInfoSchema = {
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],
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),
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}
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class LongPositionCloseout(BaseModel):
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instrument: str
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units: str
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class Trade(BaseModel):
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tradeID: str
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clientTradeID: str
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units: str
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realizedPL: str
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financing: str
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baseFinancing: str
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price: str
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guaranteedExecutionFee: str
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quoteGuaranteedExecutionFee: str
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halfSpreadCost: str
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class HomeConversionFactors(BaseModel):
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gainQuoteHome: str
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lossQuoteHome: str
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gainBaseHome: str
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lossBaseHome: str
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class LongOrderFillTransaction(BaseModel):
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id: str
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accountID: str
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userID: int
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batchID: str
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requestID: str
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time: str
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type: str
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orderID: str
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instrument: str
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units: str
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requestedUnits: str
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price: str
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pl: str
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quotePL: str
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financing: str
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baseFinancing: str
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commission: str
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accountBalance: str
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gainQuoteHomeConversionFactor: str
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lossQuoteHomeConversionFactor: str
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guaranteedExecutionFee: str
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quoteGuaranteedExecutionFee: str
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halfSpreadCost: str
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fullVWAP: str
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reason: str
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tradesClosed: list[Trade]
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fullPrice: Price
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homeConversionFactors: HomeConversionFactors
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longPositionCloseout: LongPositionCloseout
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class OrderTransation(BaseModel):
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id: str
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accountID: str
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userID: int
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batchID: str
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requestID: str
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time: str
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type: str
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instrument: str
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units: str
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timeInForce: str
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positionFill: str
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reason: str
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longPositionCloseout: LongPositionCloseout
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longOrderFillTransaction: dict
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class PositionClose(BaseModel):
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longOrderCreateTransaction: OrderTransaction
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longOrderFillTransaction: OrderTransaction
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longOrderCancelTransaction: OrderTransaction
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shortOrderCreateTransaction: OrderTransaction
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shortOrderFillTransaction: OrderTransaction
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shortOrderCancelTransaction: OrderTransaction
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relatedTransactionIDs: list[str]
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lastTransactionID: str
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PositionCloseSchema = {
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"longOrderCreateTransaction": "longOrderCreateTransaction",
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"longOrderFillTransaction": "longOrderFillTransaction",
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"longOrderCancelTransaction": "longOrderCancelTransaction",
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"shortOrderCreateTransaction": "shortOrderCreateTransaction",
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"shortOrderFillTransaction": "shortOrderFillTransaction",
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"shortOrderCancelTransaction": "shortOrderCancelTransaction",
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"relatedTransactionIDs": "relatedTransactionIDs",
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"lastTransactionID": "lastTransactionID",
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}
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class ClientExtensions(BaseModel):
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id: str
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tag: str
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class TradeDetailsTrade(BaseModel):
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id: str
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instrument: str
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price: str
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openTime: str
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initialUnits: str
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initialMarginRequired: str
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state: str
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currentUnits: str
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realizedPL: str
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closingTransactionIDs: list[str]
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financing: str
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dividendAdjustment: str
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closeTime: str
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averageClosePrice: str
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clientExtensions: ClientExtensions
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class TradeDetails(BaseModel):
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trade: TradeDetailsTrade
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lastTransactionID: str
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TradeDetailsSchema = {
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"trade": "trade",
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"lastTransactionID": "lastTransactionID",
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}
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18
core/migrations/0042_trade_information.py
Normal file
18
core/migrations/0042_trade_information.py
Normal file
@ -0,0 +1,18 @@
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# Generated by Django 4.1.3 on 2022-12-01 19:42
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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('core', '0041_alter_strategy_entry_signals_and_more'),
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]
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operations = [
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migrations.AddField(
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model_name='trade',
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name='information',
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field=models.JSONField(blank=True, null=True),
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),
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]
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@ -201,6 +201,7 @@ class Trade(models.Model):
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trailing_stop_loss = models.FloatField(null=True, blank=True)
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take_profit = models.FloatField(null=True, blank=True)
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status = models.CharField(max_length=255, null=True, blank=True)
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information = models.JSONField(null=True, blank=True)
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direction = models.CharField(choices=DIRECTION_CHOICES, max_length=255)
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# To populate from the trade
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@ -213,6 +214,10 @@ class Trade(models.Model):
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self._original = self
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def post(self):
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if self.status in ["rejected", "close"]:
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log.debug(f"Trade {self.id} rejected. Not posting.")
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log.debug(f"Trade {self.id} information: {self.information}")
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else:
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return self.account.client.post_trade(self)
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def delete(self, *args, **kwargs):
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