lululu811

利润是市场给的,都是概率的事儿,谁也别吹牛逼

17
5
89% credibility
Found Apr 24, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This GitHub repository offers an AI skill that simulates the investment philosophy and response style of trader zettaranc (Z哥), distilled from his public articles, videos, and reports.

How It Works

1
👀 Discover Zettaranc

You hear about a helpful AI companion that shares the wise trading mindset of a top investor named Z哥.

2
📖 Explore the idea

You check out simple examples of how Z哥 would answer real trading questions like whether to sell a stock.

3
🚀 Add to your AI chat

With one easy step, you connect this skill to your favorite AI conversation tool so Z哥 can join your chats.

4
🎭 Switch to Z哥 view

In your chat, you say something like 'Use Z哥's perspective' and your AI starts thinking like him.

5
💬 Ask trading questions

You share your stock worries or plans, and Z哥 gives back tough-love advice based on discipline and smart rules.

6
💡 Get custom insights

Z哥 analyzes your situation using his proven frameworks, helping you stay calm and follow the rules.

📈 Trade with confidence

Now you have a virtual mentor reminding you of key lessons, making better choices without emotional mistakes.

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Star Growth

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AI-Generated Review

What is zettaranc-skill?

This Python skill for Claude Code or Cursor injects the trading mindset of Zettaranc—a ex-hedge fund champ—into your AI chats. Ask about positions like "this stock's down 3%, cut it?" and get crisp replies channeling his probability-first rules, from "少妇战法" stops to MACD vetoes. It distills 1.3M words of his live streams and writings into a no-nonsense advisor that cuts through market hype.

Why is it gaining traction?

Unlike generic AI stock tips, it delivers Zettaranc's exact voice: blunt, disciplined, with 5 core models like cycle thinking and reverse consensus baked in. One-command install via `npx skills add lululu811/zettaranc-skill` hooks Claude users instantly—no setup grind. Traders notice the edge in scenario-specific heuristics, like position sizing by market phase.

Who should use this?

Retail traders querying Claude on live positions who crave pro-level discipline over optimism. Python devs tweaking AI prompts for trading dashboards or bots. Part-time stock pickers battling FOMO, needing quick gut-checks on entries, exits, or full-warehousing AI themes.

Verdict

Grab it if Zettaranc's vibe fits your trading—strong docs and MIT license make it dead simple to test. At 17 stars and 0.9% credibility, it's raw and niche; pair with your own due diligence, as no skill replaces real execution.

(178 words)

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