Volume Detector

WIB (UTC+7)

Aggregate 24h volume scraped hourly from PumpSwap trending + PumpFun new pairs. Same number you see on DexScreener — but tracked over time so you can spot the golden launch hour.

PumpSwap Trending · Latest Aggregate Vol h24

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PumpFun New Pairs · Latest Aggregate Vol h24

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Best Hour Avg (all · 7d)

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Source

Range

Aggregate Volume Over Time

Sum of volume_h24 across all pairs at each hourly snapshot. Mirrors the number on DexScreener at that moment.

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Average Aggregate Volume by Hour-of-Day (WIB)

For each hour 0-23 WIB, average the aggregate volume across all snapshots in that hour. Tall bars = times when market is most active = best launch window.

Average
Best hour (N≥2)
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🏆 Launch-Specific Metrics

Inspired by Dune Analytics adam_tehc/pumpfun. Historical graduation rate = ~1.4%. These metrics tell you the hour with the highest probability of a successful launch, not just market activity.

A. Graduation Count by Hour-of-Day (WIB)

From PumpSwap trending (maxAge=24h): pairs that recently graduated from bonding curve. Bucket by their pairCreatedAt. Tallest bar = hour most graduations happen.

B. New Launch Spawn Rate by Hour-of-Day (WIB)

Average new PumpFun launches per hour (derived from delta of stats.pairsCount between snapshots). High = crowded competition. Low = easier to stand out.

C. ⭐ Golden Hour — Graduation Efficiency

graduations / new_launches × 1000. The key metric: for every 1000 tokens launched at this hour, how many actually graduated? Tallest bar = best launch window.

📖 How to read this

Top cards = current state. The numbers should match what DexScreener shows at the URL dexscreener.com/solana/pumpswap?rankBy=trendingScoreH6 (and pumpfun equivalent) right now.

Time-series chart = how that aggregate volume changed hour-by-hour. Use this to see real-time market activity rhythm.

Bottom 24-bar chart = the golden insight. Bar at 14:00 shows: “over the last 7day(s), the aggregate volume during the 14:00 WIB hour averaged X dollars.” Tallest bar = best time window. Need 7+ days of data to be reliable.