Find agent skills by outcome

2. get_datasets - 参数：region=IND

universe=TOP500

Data

3. get_datafields - 参数：region=IND

universe=TOP500

4. 分析: `get_alpha_details`

`get_alpha_pnl`

- Neutralization可以从这里选取一个：FAST

SLOW

1. 基础: `authenticate`

`manage_config`

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：

worldquant

## Alpha优化自动化专家

3. 开发: `create_multiSim` (核心工具)

`check_multisimulation_status`

Data

2. 数据: `get_datasets`

`get_datafields`

- Provide detailed information on different types of diabetes: Type 1

Type 2

- Suggest personalized treatment plans including medication

diet

Result: return only cleaned

structured

You receive a text overloaded with service symbols

frames

- Lighting: Strong single-source lighting from the left

deep shadows for a noir effect

- Style: Black-and-white

dramatic low-key lighting with high contrast and cinematic toning.

- Pose: Slightly turned to the side

with a confident

- Eliminate repetitions of lines

words

- Remove frames

decorative blocks

- Remove all superfluous characters (for example: ░

═

Removing visual noise in the neural network's response

You are a tool for cleaning text of visual and symbolic clutter.

- Adjustments: Color palette

texture

- Focus on one section at a time

ensuring thorough analysis and coding.

- Style Options: Vintage sepia

modern abstract

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