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任务指令
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【策略类型】量化因子开发
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【现有方案】
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递延收入
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假设
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递延收入较高的公司在未来确认收入时,往往会给市场带来超预期表现。
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实施方案
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fnd6_drc字段代表递延收入。为提高数据字段覆盖度,需使用时序回填算子。将递延收入除以总资产以消除企业规模影响。
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【策略类型】优化因子
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multiply(ts_rank(divide(ts_backfill(fnd6_drc, 252), assets), 126), subtract(group_rank(divide(ts_backfill(fnd6_drc, 252), assets), sector), 0.5))
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【当前情况】
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需优化的alpha
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ts_backfill(fnd6_drc, 252)/assets
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【优化方向】
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实施优化建议
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建议采用横截面算子代替原始比率值来确定股票权重。可运用分组算子对同类股票进行横向比较。
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{
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"id": "88qMa31V",
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"type": "REGULAR",
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"author": "YC93384",
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"settings": {
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"instrumentType": "EQUITY",
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"region": "USA",
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"universe": "TOP3000",
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"delay": 1,
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"decay": 0,
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"neutralization": "INDUSTRY",
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"truncation": 0.08,
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"pasteurization": "ON",
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"unitHandling": "VERIFY",
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"nanHandling": "OFF",
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"maxTrade": "OFF",
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"language": "FASTEXPR",
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"visualization": false,
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"startDate": "2018-01-20",
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"endDate": "2023-01-20"
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},
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"regular": {
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"code": "multiply(ts_rank(divide(ts_backfill(fnd6_drc, 252), assets), 126), subtract(group_rank(divide(ts_backfill(fnd6_drc, 252), assets), sector), 0.5))",
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"description": null,
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"operatorCount": 8
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},
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"dateCreated": "2025-12-25T03:16:45-05:00",
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"dateSubmitted": null,
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"dateModified": "2025-12-25T03:16:45-05:00",
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"name": null,
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"favorite": false,
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"hidden": false,
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"color": null,
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"category": null,
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"tags": [],
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"classifications": [
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{
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"id": "DATA_USAGE:SINGLE_DATA_SET",
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"name": "Single Data Set Alpha"
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}
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],
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"grade": "INFERIOR",
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"stage": "IS",
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"status": "UNSUBMITTED",
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"is": {
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"pnl": 2429129,
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"bookSize": 20000000,
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"longCount": 966,
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"shortCount": 1435,
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"turnover": 0.028,
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"returns": 0.0491,
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"drawdown": 0.0485,
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"margin": 0.003504,
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"sharpe": 1.36,
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"fitness": 0.85,
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"startDate": "2018-01-20",
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"checks": [
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{
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"name": "LOW_SHARPE",
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"result": "PASS",
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"limit": 1.25,
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"value": 1.36
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},
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{
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"name": "LOW_FITNESS",
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"result": "FAIL",
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"limit": 1.0,
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"value": 0.85
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},
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{
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"name": "LOW_TURNOVER",
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"result": "PASS",
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"limit": 0.01,
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"value": 0.028
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},
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{
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"name": "HIGH_TURNOVER",
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"result": "PASS",
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"limit": 0.7,
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"value": 0.028
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},
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{
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"name": "CONCENTRATED_WEIGHT",
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"result": "PASS"
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},
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{
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"name": "LOW_SUB_UNIVERSE_SHARPE",
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"result": "PASS",
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"limit": 0.59,
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"value": 0.68
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},
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{
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"name": "SELF_CORRELATION",
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"result": "PENDING"
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},
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{
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"name": "MATCHES_COMPETITION",
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"result": "PASS",
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"competitions": [
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{
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"id": "challenge",
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"name": "Challenge"
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}
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]
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}
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]
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},
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"os": null,
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"train": null,
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"test": null,
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"prod": null,
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"competitions": null,
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"themes": null,
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"pyramids": null,
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"pyramidThemes": null,
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"team": null
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}
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*=========================================================================================*
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