quantlab.factor.predefined#
Modules
Alpha101 factor sets computed with the KunQuant backend. |
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Alpha158 factor sets computed with the KunQuant backend. |
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Literature-backed short-selling, news, 8-K event and 10-K text factors in one KunQuant graph. |
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Barra-style risk-factor exposures in the manner of MSCI's USE4 model. |
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Benchmark beta: each symbol's rolling OLS beta of one-bar returns on a single-symbol benchmark. |
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Twenty daily equity anomalies from mechanisms the other factor bundles do not cover, in one KunQuant graph. |
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Twenty-three literature-backed fundamental, institutional and insider factors in one KunQuant graph. |
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High-frequency factors: daily statistics of each session's one-minute bars. |
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Literature-backed equity alpha factors implemented as one KunQuant graph. |
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Market features: index or ETF series broadcast to every symbol of a panel. |
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An index's capitalization weights: |
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Membership-masked factor: another factor kept only where its symbol is an index member at t. |
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N-bar price momentum, the reference factor for the Polars backend. |
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Neutralized factor: another factor's outputs neutralized against industry and size. |
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Residual momentum from a rolling Fama-French three-factor regression. |
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Roster factor: another factor read on a roster only. |
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Short-horizon equity factors from the literature on next-day and next-week returns, as one KunQuant graph. |
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Start-clipped factor: another factor read from its store's first bar on. |