2026-03-22 复盘

今日概览

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交易记录

from pathlib import Path
import pandas as pd

from tradingpad.data.trades import get_daily_trades

def find_db(start: Path) -> Path:
    for p in [start, *start.parents]:
        candidate = p / "data" / "trading.db"
        if candidate.exists():
            return candidate
    raise FileNotFoundError("data/trading.db not found from current page path")

DB = find_db(Path.cwd())
trades = get_daily_trades("2026-03-22", db_path=DB, limit=2000)

if not trades:
    print("当日无成交记录")
else:
    df = pd.DataFrame(trades)
    cols = [
        "time",
        "platform",
        "account_login",
        "symbol",
        "type",
        "entry",
        "volume",
        "price",
        "profit",
        "commission",
    ]
    df[cols]

笔记

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