Extend trade-record tools, add ledger to pps extraction
Add a `TradeRecord` struct which holds the minimal field set to build out position entries. Add `.update_pps()` to convert a set of records into LIFO position entries, optionally allowing for an update to some existing pp input set. Add `load_pps_from_ledger()` which does a full ledger extraction to pp objects, ready for writing a `pps.toml`.lifo_pps_ib
parent
88b4ccc768
commit
f8f7ca350c
118
piker/pp.py
118
piker/pp.py
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@ -31,6 +31,20 @@ from msgspec import Struct
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from . import config
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from .clearing._messages import BrokerdPosition, Status
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from .data._source import Symbol
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from .brokers import get_brokermod
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class TradeRecord(Struct):
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fqsn: str # normally fqsn
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tid: Union[str, int]
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size: float
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price: float
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cost: float # commisions or other additional costs
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# optional key normally derived from the broker
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# backend which ensures the instrument-symbol this record
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# is for is truly unique.
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symkey: Optional[Union[str, int]] = None
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class Position(Struct):
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@ -47,7 +61,13 @@ class Position(Struct):
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avg_price: float # TODO: contextual pricing
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# ordered record of known constituent trade messages
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fills: list[Status] = []
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fills: list[Union[str, int, Status]] = []
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def to_dict(self):
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return {
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f: getattr(self, f)
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for f in self.__struct_fields__
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}
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def update_from_msg(
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self,
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@ -122,56 +142,76 @@ class Position(Struct):
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return new_size, self.avg_price
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def parse_pps(
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def update_pps(
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brokername: str,
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ledger: dict[str, Union[str, float]],
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pps: Optional[dict[str, TradeRecord]] = None
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) -> dict[str, TradeRecord]:
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'''
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Compile a set of positions from a trades ledger.
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'''
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brokermod = get_brokermod(brokername)
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pps: dict[str, Position] = pps or {}
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records = brokermod.norm_trade_records(ledger)
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for r in records:
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key = r.symkey or r.fqsn
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pp = pps.setdefault(
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key,
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Position(
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Symbol.from_fqsn(r.fqsn, info={}),
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size=0.0,
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avg_price=0.0,
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)
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)
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# lifo style average price calc
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pp.lifo_update(r.size, r.price)
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pp.fills.append(r.tid)
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return pps
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async def load_pps_from_ledger(
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brokername: str,
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acctname: str,
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ledger: Optional[dict[str, Union[str, float]]] = None,
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) -> dict[str, Any]:
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pps: dict[str, Position] = {}
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with config.open_trade_ledger(
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brokername,
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acctname,
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) as ledger:
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pass # readonly
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if not ledger:
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with config.open_trade_ledger(
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brokername,
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acctname,
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) as ledger:
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pass # readonly
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pps = update_pps(brokername, ledger)
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by_date = ledger[brokername]
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active_pps = {}
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for k, pp in pps.items():
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for date, by_id in by_date.items():
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for tid, record in by_id.items():
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if pp.size == 0:
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continue
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# ib specific record parsing
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# date, time = record['dateTime']
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# conid = record['condid']
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# cost = record['cost']
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# comms = record['ibCommission']
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symbol = record['symbol']
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price = record['tradePrice']
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# action = record['buySell']
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# NOTE: can be -ve on sells
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size = float(record['quantity'])
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pp = pps.setdefault(
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symbol,
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Position(
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Symbol(key=symbol),
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size=0.0,
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avg_price=0.0,
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)
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)
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# LOFI style average price calc
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pp.lifo_update(size, price)
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active_pps[pp.symbol.front_fqsn()] = pp.to_dict()
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# pprint({pp.symbol.front_fqsn(): pp.to_dict() for k, pp in pps.items()})
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from pprint import pprint
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pprint(pps)
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pprint(active_pps)
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# pprint({pp.symbol.front_fqsn(): pp.to_dict() for k, pp in pps.items()})
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def update_pps_conf(
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trade_records: list[TradeRecord],
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):
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conf, path = config.load('pp')
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if __name__ == '__main__':
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parse_pps('ib', 'algopaper')
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import trio
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trio.run(
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load_pps_from_ledger, 'ib', 'algopaper',
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)
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