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
6日收益率乘以当日成交量,是成交量加权的价格动量。值越大,表示近6日涨幅越大且当日成交越活跃,量纲受成交量规模影响。
因子公式
(CLOSE-DELAY(CLOSE,6))/DELAY(CLOSE,6)*VOLUMEBigQuant SQL
SELECT date, instrument, -1 * (close/m_lag(close, 6)-1)*volume AS _factor_temp, 1 * _factor_temp AS factorFROM cn_stock_bar1dORDER BY date, instrumentbq examples new strategies/multi_factor.py bqf_10128_strategy.py --name 'Alpha191 #29 选股' \ --set 'TABLES=["cn_stock_factors_alpha_191"]' --set 'FACTORS=["alpha_029"]' --set 'HOLD=30' \ --set 'EVERY=20' --set 'BENCHMARK="000300.SH"' --set 'START="2021-01-01"' \ --set 'END="2026-09-22"' \ && python bqf_10128_strategy.pySELECT date, instrument, alpha_029 FROM cn_stock_factors_alpha_191带入当前因子,在 Cowork 中继续研究。
from bigquant import factor
values = factor.values(["BQF_10128"], "2021-01-01", "2026-09-22")report = factor.analyze( values, start_date="2021-01-01", end_date="2026-09-22", universe=("all", "hs300"), neutralize=(None, "size+industry"), depth="deep",)report.render()