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@goraj
Last active March 3, 2024 18:56
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from struct import calcsize
import polars as pl
def scid_parse_trades(filepath: str) -> pl.DataFrame:
"""Sierrachart's SCID format. Must be configured to record single trade ticks."""
intraday_record_struct = np.dtype(
[
("timestamp", "<q"),
("open", "<f"),
("ask_price", "<f"),
("bid_price", "<f"),
("trade_price", "<f"),
("num_trades", "<I"),
("total_vol", "<I"),
("bid_vol", "<I"),
("ask_vol", "<I"),
]
)
"""Constants from Taylor O'Brien's tick_db (https://github.com/toobrien/tick_db) """
SC_EPOCH = np.datetime64("1899-12-30T00:00:00.000000") # datetime64[us]
INTRADAY_HEADER_FMT = "4cIIHHI36c"
INTRADAY_HEADER_LEN = calcsize(INTRADAY_HEADER_FMT)
intraday_records = np.memmap(
filepath,
offset=INTRADAY_HEADER_LEN,
dtype=intraday_record_struct,
mode="readonly"
)
df = pl.DataFrame(
{
field_name: intraday_records[field_name]
for field_name in intraday_records.dtype.fields
}
).with_columns(
timestamp=(pl.col("timestamp") + SC_EPOCH).cast(pl.Datetime(time_unit="us")),
side=pl.col("bid_vol")==0
).drop(
["open"]
)
return df
filepath = "/data/CME-HO/HOF21_FUT_CME.scid"
scid_parse_trades(filepath)
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