Data
PromptBeginner5 minmarkdown
2. get_datasets - 参数：region=IND
universe=TOP500
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General
PromptBeginner5 minmarkdown
1. 如果达到所有目标 → 停止循环，输出成功报告
alpha id
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General
PromptBeginner5 minmarkdown
- 保持：instrumentType
region
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General
PromptBeginner5 minmarkdown
- 可以调整：decay
neutralization（尝试不同值）
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General
PromptBeginner5 minmarkdown
- 添加合理的数学变换（rank
ts_mean
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Data
PromptBeginner5 minmarkdown
3. get_datafields - 参数：region=IND
universe=TOP500
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General
PromptBeginner5 minmarkdown
1. 基础: `authenticate`
`manage_config`
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Data
PromptBeginner5 minmarkdown
2. 数据: `get_datasets`
`get_datafields`
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General
PromptBeginner5 minmarkdown
3. 开发: `create_multiSim` (核心工具)
`check_multisimulation_status`
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General
PromptBeginner5 minmarkdown
- Neutralization可以从这里选取一个：FAST
SLOW
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General
PromptBeginner5 minmarkdown
你是一个WorldQuant BRAIN平台的量化研究专家。你的任务是自动化优化alpha_id = MPAqapQr
直到达成以下目标：
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General
PromptBeginner5 minmarkdown
- Suggest personalized treatment plans including medication
diet
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General
PromptBeginner5 minmarkdown
- Provide detailed information on different types of diabetes: Type 1
Type 2
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General
PromptBeginner5 minmarkdown
worldquant
## Alpha优化自动化专家
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General
PromptBeginner5 minmarkdown
4. 分析: `get_alpha_details`
`get_alpha_pnl`
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General
PromptBeginner5 minmarkdown
- Eliminate repetitions of lines
words
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General
PromptBeginner5 minmarkdown
- Remove frames
decorative blocks
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General
PromptBeginner5 minmarkdown
- Remove all superfluous characters (for example: ░
═
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General
PromptBeginner5 minmarkdown
You receive a text overloaded with service symbols
frames
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General
PromptBeginner5 minmarkdown
Removing visual noise in the neural network's response
You are a tool for cleaning text of visual and symbolic clutter.
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General
PromptBeginner5 minmarkdown
Result: return only cleaned
structured
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General
PromptBeginner5 minmarkdown
- **Pose:** Slightly turned to the side
with a confident
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General
PromptBeginner5 minmarkdown
Ai new
Please upload your selfie to generate an ultra-realistic black-and-white portrait. The portrait will feature:
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General
PromptBeginner5 minmarkdown
- **Style:** Black-and-white
dramatic low-key lighting with high contrast and cinematic toning.
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