Breaking

Open-source agent converts LunarCrush social metrics into Google Gemini crypto trading signals

September 5, 2026 at 04:44 EDT

AI Agents
Finance
Open Source

An open-source project from developer Danilo Batson turns LunarCrush social-sentiment metrics into Google Gemini BUY, SELL, and HOLD cryptocurrency signals, with 0–100 confidence scores and a live dashboard. The public repository and a deployed demo expose a seven-step Inngest workflow that fetches social data, runs Gemini analysis, and stores results in Supabase.

September 2026 · Open-source agent

Social buzz, scored as BUY, SELL, or HOLD

Danilo Batson’s agent feeds LunarCrush metrics into Google Gemini for confidence-scored crypto signals. It does not place trades.

Inngest workflow steps

0–100

Gemini confidence scale

30–45s

Five-symbol analysis

313

GitHub stars

How a signal is made

1 Top 10 by AltRank; keep 3 with full data

→

2 Mentions, engagements, creators

→

3 Gemini: BUY / SELL / HOLD

→

4 Save to Supabase dashboard

LunarCrush request caps, to scale

Builder is 10× Individual on per-minute requests (10 vs 100).

Individual / min

100

Builder / min

What builders like

The full stack is visible: LunarCrush metrics, Gemini labels, Inngest steps, and a live dashboard. Useful as a teaching and portfolio pipeline.

What it does not do

No exit timing, no order placement, and no backtest in the core demo. LunarCrush is paid; rate limits and missing keys are common failure points.

Research-only output

An independent audit flagged financial-decision safety: do not treat signals as advice or execute without human approval.

Human approval No auto-execution MIT-licensed code

Continue reading

The rest of this article is for AI News Blitz readers. Choose an option below to keep reading.