StreetPulseFinTwit gauge
Method

How StreetPulse is scored

In September 2026, FinTwit asked for a Fear & Greed meter that lives on the timeline instead of in a cable chyron. StreetPulse is that meter: a 0–100 print of retail mood on X, built like CNN Fear & Greed and AAII bull/bear, but trained on cashtags, not closes.

What it is

The headline index is a weighted blend of eight drivers. Each driver is normalized to 0–100 over a rolling 90-day window. Higher means greedier. Crash talk is inverted so a spike in “recession incoming” threads pulls the print down.

This demo ships with a deterministic sample tape so the product is usable without an X API key. Wire a live ingest later: pull finance-tagged posts, extract cashtags, score language, weight by a follower proxy, write a snapshot every 15 minutes.

Drivers

Bull / bear language
weight 22%

Ratio of long-coded words vs short-coded words.

FOMO intensity
weight 14%

Chasing, do not fade, all-time highs, screenshot PnL.

Crash talk
weight 14%

Recession and bubble analogies. Inverted into the index.

Leverage chatter
weight 12%

0DTE, margin, leaps, options jargon density.

Cashtag breadth
weight 12%

How many distinct names vs Mag7 + BTC.

Volume velocity
weight 10%

Hour-over-hour change in finance-tagged posts.

Mega-cap crowding
weight 8%

Share of conversation in NVDA / TSLA / Mag7 / BTC.

Influencer tilt
weight 8%

Weighted by follower proxy.

Labels

  • 0–19 Extreme Fear
  • 20–39 Fear
  • 40–59 Neutral
  • 60–79 Greed
  • 80–100 Extreme Greed

A high print is not a short signal and a low print is not a long signal. It is a measure of how loud and one-sided the crowd is.

Not financial advice. Demo data only.