加载中...
AI 原生量化投研平台AI-native quantitative research platform
正在加载…Loading…
页面仍在加载,可以继续等待,或重新加载。The page is still loading. You can keep waiting or reload.
部分页面资源未能加载,请重新加载。Some page resources could not load. Please reload.
设备当前处于离线状态,恢复连接后可以继续等待或重新加载。Your device is offline. Once connected, you can keep waiting or reload.
因子逻辑
财务因子 · 盈利能力:投入资本回报率,取平台表 cn_stock_factors_financial_indicators 的 roic_lf 列原值。
BigQuant SQL
SELECT date, instrument, roic_lf AS factorFROM cn_stock_factors_financial_indicatorsORDER BY date, instrumentbq examples new strategies/multi_factor.py bqf_10485_strategy.py --name '投入资本回报率 选股' \ --set 'TABLES=["cn_stock_factors_financial_indicators"]' --set 'FACTORS=["roic_lf"]' --set 'HOLD=30' \ --set 'EVERY=20' --set 'BENCHMARK="000300.SH"' --set 'START="2021-01-01"' \ --set 'END="2026-09-23"' \ && python bqf_10485_strategy.pySELECT date, instrument, roic_lf FROM cn_stock_factors_financial_indicators带入当前因子,在 Cowork 中继续研究。
from bigquant import factor
values = factor.values(["BQF_10485"], "2021-01-01", "2026-09-23")report = factor.analyze( values, start_date="2021-01-01", end_date="2026-09-23", universe=("all", "hs300"), neutralize=(None, "size+industry"), depth="deep",)report.render()