Great Signal

Daily curated outliers across every major exchange.

What it is

Great Signal is a public read-only window into a private scanner that runs over 14,000+ tickers across US, Asia, Europe, Oceania, Africa, and Latin America. After each exchange closes, the scanner surfaces the day's most extreme monthly outliers and publishes them here.

How a pick gets here

  1. Monthly Bollinger Band breach. Tickers stretched well outside their upper band.
  2. Survivors must be at all-time-high territory and pinned at extreme RSI levels.
  3. Each survivor is scored against our corpus of historical confirmed tops. How closely does this tape rhyme with what happened the last time we saw it?
  4. A pick earns the 🚨 flag-alert when multiple independent signals from that model agree.
  5. The curator can manually override the alert per-day per-ticker.

The whole thing is one big Pulchritudinous call. Subscribe to @great_martis to learn more.

Where the picks come from

Each exchange has its own close-time scan:

  • 🇹🇼 TWSE Taiwan 50 · 05:38 UTC
  • 🇯🇵 Nikkei 225 · 06:05 UTC
  • 🇰🇷 KOSPI 200 · 06:38 UTC
  • 🇨🇳 CSI 300 (Shanghai + Shenzhen) · 07:08 UTC
  • 🇭🇰 Hang Seng · 08:18 UTC
  • 🇸🇬 STI / SGX · 09:08 UTC
  • 🇮🇳 NIFTY 500 · 10:08 UTC
  • 🇮🇱 TASE · 14:33 UTC
  • 🇿🇦 JSE Top 40 · 15:12 UTC
  • 🇪🇺 FTSE / DAX / CAC / AEX · 16:43–17:53 (London/Berlin/Paris/Amsterdam local)
  • 🇦🇺 ASX 300 · 16:20 Sydney
  • 🇲🇽 IPC · 15:13 Mexico City
  • 🇦🇷 Merval · 17:08 Buenos Aires
  • 🇧🇷 IBOV · 17:33 São Paulo
  • 🇺🇸 Full universe (incl. all international chunks) · 16:00 ET

What this isn't

Not a trading signal. Not advice. Not a backtest. The scanner tells you something is statistically extreme. It doesn't tell you when it resolves, by how much, or whether to act. Use these as input to your own thesis. The Trade Planner page is a sizing simulator for educational use only.

Inspired by

The Great Martis · @great_martis. The guy drops insane knowledge on tops, cycles, and reading extremes. Strongly recommend subscribing. What you'll find here is some of his best lessons and ideas as they mature and get released to you in a usable form.

Built by

Michael S Isakov · @michaelsisakov.