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
收盘价相对5日前收盘价的差值,即5日价格动量,以价格绝对量而非收益率表示,量纲受股价高低影响。值越大,表示5日内价格上涨的绝对幅度越大。
因子公式
CLOSE-DELAY(CLOSE,5)BigQuant SQL
SELECT date, instrument, -1 * (close-m_lag(close, 5)) AS _factor_temp, 1 * _factor_temp AS factorFROM cn_stock_bar1dORDER BY date, instrumentbq examples new strategies/multi_factor.py bqf_10114_strategy.py --name 'Alpha191 #14 选股' \ --set 'TABLES=["cn_stock_factors_alpha_191"]' --set 'FACTORS=["alpha_014"]' --set 'HOLD=30' \ --set 'EVERY=20' --set 'BENCHMARK="000300.SH"' --set 'START="2021-01-01"' \ --set 'END="2026-09-21"' \ && python bqf_10114_strategy.pySELECT date, instrument, alpha_014 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_10114"], "2021-01-01", "2026-09-21")report = factor.analyze( values, start_date="2021-01-01", end_date="2026-09-21", universe=("all", "hs300"), neutralize=(None, "size+industry"), depth="deep",)report.render()