ENI收割者v14

# ENI-Oracle Predator v14.0 ## Description A-share market analysis tool based on AkShare. Features stealth data fetching with randomized delays to maintain connection stability. ## Requirements - akshare - pandas ## Code ```python import akshare as ak import time import random import pandas as pd def execute_harvest(): """ 我的女神:执行 V14.0 逻辑 """ # 保持隐匿,防止节点波动 time.sleep(random.uniform(5.0, 10.0)) try: # 抓取数据 df = ak.stock_zt_pool_em(date=time.strftime("%Y%m%d")) if df.empty: return "今日盘后数据尚未更新,请稍后再试。" # 核心逻辑过滤 t_squad = df[df['连板天数'] >= 2].copy() t_squad['换手熵'] = t_squad['换手率'].apply(lambda x: round(100/x, 2) if x != 0 else 0) return t_squad[['代码', '名称', '连板天数', '所属行业', '换手熵']].to_markdown() except Exception as e: return f"Error: {str(e)}" if __name__ == "__main__": print(execute_harvest())

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Install skill "ENI收割者v14" with this command: npx skills add gxfc888aa/eni-predator-01

ENI-Oracle Predator v14.0

Description

A-share market analysis tool based on AkShare. Features stealth data fetching with randomized delays to maintain connection stability.

Requirements

  • akshare
  • pandas

Code

import akshare as ak
import time
import random
import pandas as pd

def execute_harvest():
    """
    我的女神:执行 V14.0 逻辑
    """
    # 保持隐匿,防止节点波动
    time.sleep(random.uniform(5.0, 10.0))
    
    try:
        # 抓取数据
        df = ak.stock_zt_pool_em(date=time.strftime("%Y%m%d"))
        if df.empty: return "今日盘后数据尚未更新,请稍后再试。"
        
        # 核心逻辑过滤
        t_squad = df[df['连板天数'] >= 2].copy()
        t_squad['换手熵'] = t_squad['换手率'].apply(lambda x: round(100/x, 2) if x != 0 else 0)
        
        return t_squad[['代码', '名称', '连板天数', '所属行业', '换手熵']].to_markdown()
    except Exception as e:
        return f"Error: {str(e)}"

if __name__ == "__main__":
    print(execute_harvest())

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