Support simulated live order modification in paper engine
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919ecab732
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0ade7daebc
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@ -19,8 +19,9 @@ Fake trading for forward testing.
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"""
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from datetime import datetime
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from operator import itemgetter
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import time
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from typing import Tuple
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from typing import Tuple, Optional
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import uuid
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from bidict import bidict
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@ -32,8 +33,9 @@ from ..data._normalize import iterticks
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@dataclass
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class PaperBoi:
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"""Emulates a broker order client providing the same API and
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order-event response event stream format but with methods for
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"""
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Emulates a broker order client providing the same API and
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delivering an order-event response stream but with methods for
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triggering desired events based on forward testing engine
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requirements.
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@ -59,14 +61,24 @@ class PaperBoi:
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price: float,
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action: str,
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size: float,
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brid: Optional[str],
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) -> int:
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"""Place an order and return integer request id provided by client.
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"""
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# the trades stream expects events in the form
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# {'local_trades': (event_name, msg)}
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if brid is None:
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reqid = str(uuid.uuid4())
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# register order internally
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self._reqids[reqid] = (oid, symbol, action, price)
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else:
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# order is already existing, this is a modify
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(oid, symbol, action, old_price) = self._reqids[brid]
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assert old_price != price
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reqid = brid
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if action == 'alert':
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# bypass all fill simulation
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return reqid
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@ -95,9 +107,6 @@ class PaperBoi:
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}),
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})
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# register order internally
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self._reqids[reqid] = (oid, symbol, action, price)
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# if we're already a clearing price simulate an immediate fill
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if (
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action == 'buy' and (clear_price := self.last_ask[0]) <= price
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@ -116,8 +125,12 @@ class PaperBoi:
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elif action == 'sell':
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orders = self._sells
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# set the simulated order in the respective table for lookup
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# and trigger by the simulated clearing task normally
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# running ``simulate_fills()``.
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# buys/sells: (symbol -> (price -> order))
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orders.setdefault(symbol, {})[price] = (size, oid, reqid, action)
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orders.setdefault(symbol, {})[(oid, price)] = (size, reqid, action)
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return reqid
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@ -131,9 +144,9 @@ class PaperBoi:
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oid, symbol, action, price = self._reqids[reqid]
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if action == 'buy':
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self._buys[symbol].pop(price)
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self._buys[symbol].pop((oid, price))
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elif action == 'sell':
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self._sells[symbol].pop(price)
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self._sells[symbol].pop((oid, price))
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# TODO: net latency model
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await trio.sleep(0.05)
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@ -174,6 +187,8 @@ class PaperBoi:
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# TODO: net latency model
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await trio.sleep(0.05)
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# the trades stream expects events in the form
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# {'local_trades': (event_name, msg)}
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await self._to_trade_stream.send({
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'local_trades': ('fill', {
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@ -267,20 +282,22 @@ async def simulate_fills(
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buys = client._buys.get(sym, {})
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# iterate book prices descending
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for our_bid in reversed(sorted(buys.keys())):
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for oid, our_bid in reversed(
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sorted(buys.keys(), key=itemgetter(1))
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):
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if tick_price < our_bid:
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# retreive order info
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(size, oid, reqid, action) = buys.pop(our_bid)
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(size, reqid, action) = buys.pop((oid, our_bid))
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# clearing price would have filled entirely
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await client.fake_fill(
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# todo slippage to determine fill price
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tick_price,
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size,
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action,
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reqid,
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oid,
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price=tick_price,
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size=size,
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action=action,
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reqid=reqid,
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oid=oid,
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)
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else:
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# prices are interated in sorted order so
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@ -297,19 +314,21 @@ async def simulate_fills(
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sells = client._sells.get(sym, {})
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# iterate book prices ascending
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for our_ask in sorted(sells.keys()):
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for oid, our_ask in sorted(
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sells.keys(), key=itemgetter(1)
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):
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if tick_price > our_ask:
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# retreive order info
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(size, oid, reqid, action) = sells.pop(our_ask)
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(size, reqid, action) = sells.pop((oid, our_ask))
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# clearing price would have filled entirely
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await client.fake_fill(
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tick_price,
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size,
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action,
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reqid,
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oid,
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price=tick_price,
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size=size,
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action=action,
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reqid=reqid,
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oid=oid,
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)
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else:
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# prices are interated in sorted order so
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