任务指令
【策略类型】优化因子
multiply(ts_rank(divide(ts_backfill(fnd6_drc, 252), assets), 126), subtract(group_rank(divide(ts_backfill(fnd6_drc, 252), assets), sector), 0.5))
【当前情况】

{
    "id": "88qMa31V",
    "type": "REGULAR",
    "author": "YC93384",
    "settings": {
        "instrumentType": "EQUITY",
        "region": "USA",
        "universe": "TOP3000",
        "delay": 1,
        "decay": 0,
        "neutralization": "INDUSTRY",
        "truncation": 0.08,
        "pasteurization": "ON",
        "unitHandling": "VERIFY",
        "nanHandling": "OFF",
        "maxTrade": "OFF",
        "language": "FASTEXPR",
        "visualization": false,
        "startDate": "2018-01-20",
        "endDate": "2023-01-20"
    },
    "regular": {
        "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))",
        "description": null,
        "operatorCount": 8
    },
    "dateCreated": "2025-12-25T03:16:45-05:00",
    "dateSubmitted": null,
    "dateModified": "2025-12-25T03:16:45-05:00",
    "name": null,
    "favorite": false,
    "hidden": false,
    "color": null,
    "category": null,
    "tags": [],
    "classifications": [
        {
            "id": "DATA_USAGE:SINGLE_DATA_SET",
            "name": "Single Data Set Alpha"
        }
    ],
    "grade": "INFERIOR",
    "stage": "IS",
    "status": "UNSUBMITTED",
    "is": {
        "pnl": 2429129,
        "bookSize": 20000000,
        "longCount": 966,
        "shortCount": 1435,
        "turnover": 0.028,
        "returns": 0.0491,
        "drawdown": 0.0485,
        "margin": 0.003504,
        "sharpe": 1.36,
        "fitness": 0.85,
        "startDate": "2018-01-20",
        "checks": [
            {
                "name": "LOW_SHARPE",
                "result": "PASS",
                "limit": 1.25,
                "value": 1.36
            },
            {
                "name": "LOW_FITNESS",
                "result": "FAIL",
                "limit": 1.0,
                "value": 0.85
            },
            {
                "name": "LOW_TURNOVER",
                "result": "PASS",
                "limit": 0.01,
                "value": 0.028
            },
            {
                "name": "HIGH_TURNOVER",
                "result": "PASS",
                "limit": 0.7,
                "value": 0.028
            },
            {
                "name": "CONCENTRATED_WEIGHT",
                "result": "PASS"
            },
            {
                "name": "LOW_SUB_UNIVERSE_SHARPE",
                "result": "PASS",
                "limit": 0.59,
                "value": 0.68
            },
            {
                "name": "SELF_CORRELATION",
                "result": "PENDING"
            },
            {
                "name": "MATCHES_COMPETITION",
                "result": "PASS",
                "competitions": [
                    {
                        "id": "challenge",
                        "name": "Challenge"
                    }
                ]
            }
        ]
    },
    "os": null,
    "train": null,
    "test": null,
    "prod": null,
    "competitions": null,
    "themes": null,
    "pyramids": null,
    "pyramidThemes": null,
    "team": null
}

*=========================================================================================*

输出格式：
输出必须是且仅是纯文本。
每一行是一个完整、独立、语法正确的WebSim表达式。
严禁任何形式的解释、编号、标点包裹（如引号）、Markdown格式或额外文本。

===================== !!! 重点(输出方式) !!! =====================
现在，请严格遵守以上所有规则，开始生成可立即在WebSim中运行的复合因子表达式。
**输出格式**(一行一个表达式, 每个表达式中间需要添加一个空行, 只要表达式本身, 不要解释, 不需要序号, 也不要输出多余的东西)：

表达式

表达式

表达式

...

表达式
=================================================================

重申：请确保所有表达式都使用WorldQuant WebSim平台函数，不要使用pandas、numpy或其他Python库函数。输出必须是一行有效的WQ表达式。
以下是我的账号有权限使用的操作符, 请严格按照操作符, 以及我提供的数据集, 进行生成,组合 10 个alpha：