hansai-art

這是一個 TradingView 指標,它記錄了巴逆逆(8zz)在 Facebook 公開貼文 的買賣操作,並以反向信號呈現在 K 線圖上,從過去 500 則訊息挑選真實 FB 貼文操作,勝率高達 81.5%。

82
8
69% credibility
Found Apr 18, 2026 at 82 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project scrapes and sentiment-analyzes posts from a specific Facebook investor page to automatically update a TradingView indicator with contrarian trading signals.

How It Works

1
🔍 Discover the Crowd Mood Trader

You hear about a clever tool that watches what excited everyday investors post on Facebook and turns their panic or hype into opposite trading hints.

2
📱 Link the Facebook Watcher

Connect a simple service to peek at recent posts from a popular investor's Facebook page, grabbing the latest investor chatter safely.

3
🧠 Add the Emotion Detective

Hook up an AI buddy that reads the feelings in those posts, spotting fear as a buy sign or over-joy as a sell sign.

4
Watch It Analyze the Buzz

The tool pulls fresh posts, judges the crowd's mood with smarts or simple rules, and creates strong signal markers like 'Panic Bottom' or 'Euphoria Top'.

5
📊 Refresh Your Chart Helper

It weaves the new mood signals right into your TradingView chart indicator, keeping everything up-to-date.

🎉 Trade Smarter Against the Crowd

Now your charts light up with contrarian clues from real investor feelings, helping you buy low when others panic and sell high when they're thrilled.

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Star Growth

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AI-Generated Review

What is 8zz-Contrarian-Indicator-TradingView?

This Python project generates a TradingView indicator that scrapes public Facebook posts from trader "8zz" (巴逆逆), analyzes them for contrarian signals—bullish on pain like stop-losses, bearish on euphoria like chase buys—and plots them on charts from the past 500 real posts, claiming an 81.5% win rate. Users download the free TradingView GitHub Pine Script to overlay these signals directly on candlestick charts, turning social sentiment into actionable github tradingview data. It leverages Apify for Facebook scraping and Google Gemini for sentiment classification, with keyword fallbacks.

Why is it gaining traction?

Unlike generic TradingView GitHub indicators, this contrarian tool focuses on one high-profile source—8zz's raw FB posts—for hyper-specific signals that beat the crowd, with automated updates via Python scripts for fresh github tradingview python data. Devs dig the free TradingView GitHub download and easy chart integration, skipping manual social monitoring. At 82 stars, it's hooking traders tired of premium TradingView GitHub libraries that lack this real-world edge.

Who should use this?

Taiwanese stock traders on TradingView monitoring 8zz or similar influencers for contrarian edges. Quant devs building social sentiment pipelines with TradingView GitHub API or Python for custom indicators. Not for pure algos needing backtested strategies—best as a quick sentiment overlay.

Verdict

Grab it for a novel free TradingView GitHub chart tool if you're into Facebook-driven contrarian plays, but its 0.7% credibility score and 82 stars signal early-stage maturity with sparse docs—run your own tests before live trading. Solid starter for sentiment tinkerers.

(178 words)

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