TideWatch
by EOTM Labs · Economy of the Many
Instrument No. 001
Data to 27 Sep 2026

tidewatch.eotm.fun · eotm.fun · x.com/EOTMofficialPast data, not financial advice
TideWatchby EOTM Labs · Economy of the Many
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Reading the tide
EOTM Labs · Instrument No. 001 · data to 27 Sep 2026

TideWatch

Crypto never closes, but it still has tides. Volume rises at the US open, drains through the Asian night, and ebbs every weekend. This page measures those tides across Bitcoin, exchanges, DEX chains and launchpads, and marks which patterns hold at least 80% of the time.

Snapshot, not live. Figures come from third-party data that can be incomplete, delayed or revised, and on-chain volumes include some mispriced and wash trades. Nothing here is financial advice or a price prediction. TideWatch was researched and built with AI agents working under human direction; read exactly how it was made. See data freshness.
01 · The daily tide

Volume peaks at 14:00 UTC and bottoms out around 04:00 UTC

Share of each day's volume traded in each hour. A flat day would put 4.17% in every hour. Shaded bands are 95% confidence intervals across days.

Sessions: Asia 00–08 UTC, Europe 07–16, US 13–21. Hourly candles can't separate 13:30 from 14:30, so the US equity open shows up across hours 13 and 14.

Source: Binance public market data.

02 · Hour × weekday

The busiest slot is a weekday afternoon; the quietest is a weekend night

Each cell is that hour's volume divided by the average hour of the previous 28 days, rescaled so the map averages 1.0. It opens on all crypto combined (exchanges and DEX together); switch to exchanges only, DEX only, or a single market, chain or launchpad. Hover a cell for its value.

Rows: day of week. Columns: hour of day in your chosen time zone. Colour: volume vs normal.
0.5×2.0×

Source: Binance public market data.

03 · Weekday vs weekend

Weekends are quieter in 85–96% of weeks, and the gap has widened

Volume by weekday relative to its trailing 28-day average. Weekend ratio = average weekend day ÷ average weekday. Days in these charts are UTC days; the heatmap above follows your chosen time zone.

By weekday

Source: Binance public market data. Data: DefiLlama.

Weekend ratio, market by market

Bars show weekend ÷ weekday. Blue bars pass the 80% test (the weekend was quieter in at least 80% of weeks); amber bars don't, or have too little data. Hover for the share.

Source: Binance public market data. Data: DefiLlama.

Bitcoin on Binance, year by year

Saturday and Sunday were below every weekday in all 9 years since 2018. The weekend dip deepened from about 0.85× to 0.5–0.65×, and sharpened further after the US spot ETFs launched in January 2024.

Source: Binance public market data.

04 · Launchpads and memecoins

Launchpad trading barely takes the weekend off

pump.fun and PumpSwap on Solana compared with Solana DEX volume over the same weeks, plus Pons on Robinhood Chain.

Weekend ratio

Data: DefiLlama.

Robinhood Chain DEX volume, weekly

Data: DefiLlama.

05 · On-chain, hour by hour

Every chain peaks at 14:00 UTC, Robinhood Chain included

Hourly volume from the deepest DEX pools on each chain over the last 180 days (GeckoTerminal), plus top memecoin pools. Robinhood Chain uses its WETH/USDG pools from July 2026.

Share of daily volume by hour

By weekday, vs trailing 14 days

Big WETH/stablecoin pools are dominated by arbitrage against exchanges, so their timing mirrors exchange hours. Memecoin pools are shorter histories picked from today's top lists, so treat them as indications. Solana memecoins peak later (21:00 UTC) and show no weekend dip.

On-chain data provided by GeckoTerminal.

06 · Two years of on-chain trades (Dune)

Chains peak at the US open; launchpads peak in the US evening

Every DEX trade on Ethereum, Base, Arbitrum, BNB Chain, Polygon, Solana and Robinhood Chain over 24 months, from Dune's trade tables. On-chain USD values include some mispriced and wash trades, so each hour shows the median share across days, which one bad day can't move.

Median share of daily volume by hour

At a glance

Launchpads here are pump.fun (bonding curve), PumpSwap (after graduation) and Raydium LaunchLab on Solana. Robinhood Chain has 14 weeks of data, too few for confident weekday conclusions.

Data: Dune (dex.trades, dex_solana.trades). Queries run 28 Sep 2026.

07 · Launches and migrations

About 1 launch in 100 graduates; on the busiest launchpads it is closer to 1 in 400

A launch "graduates" (migrates) when its bonding curve fills and its liquidity moves to a DEX pool. The rate here is graduations in a period divided by launches in the same period, so a sudden flood of bot launches pushes a month's rate down.

Data: Dune (decoded launchpad events: token created vs graduated, migrated or listed). Queries run 28 Sep 2026.

08 · Dead liquidity

About $35M–45M still sits in failed launches that nobody trades

When a launch never graduates, the money its buyers paid in stays behind: in the bonding curve, or in a locked pool on launchpads without curves. It still belongs to the token's holders, who can sell back into it, but on tokens nobody trades any more it just sits there. In the launchpads we studied, we did not find a mechanism that winds these down. Only the pair asset is counted (the SOL, ETH, BNB, stablecoin or stock token buyers paid in); the launched tokens themselves are valued at zero. Every figure below was read from each chain's own contract state or event logs, not taken from a published estimate.

Data: direct reads of Solana (via Helius), BNB Chain, Robinhood Chain and MegaETH state and event logs; Dune for BNB Chain token lists and LONG trades. USD at on-chain prices on 28 Sep 2026: Pyth SOL/USD, Chainlink ETH/USD and PancakeSwap BNB/USDT. Read 28 Sep 2026.

09 · Month of year

Months tell you about bull runs, not the calendar

Each month's volume relative to the trailing 12 months. Only 2–8 years support each month, so wide bands are expected. No month passes the 80% bar except November on DEX, which matches the 2020, 2021 and 2024 rallies.

Source: Binance public market data. Data: DefiLlama.

10 · Year by year

Exchange volume peaked in 2022; DEX volume kept climbing until 2025

Binance spot volume, USD billions

2026 covers 270 days.

Source: Binance public market data.

DEX volume by chain, USD billions

2026 is year to date.

Data: DefiLlama.

11 · Exchanges

US-based exchanges have the quietest weekends; Asian exchanges keep more of theirs

Twelve months of exchange-reported daily volume.

Market share by month

Data provided by CoinGecko. Volumes are reported by the exchanges.

Weekend share of weekly volume

A perfectly even week would put 28.6% on the weekend (dashed line).

Data provided by CoinGecko.

12 · Black swans

Shocks strike any day, but the volume peak lands on a weekday, and fades within about 3 days

Twelve major shocks from 2020 to 2026. Pick one to see Bitcoin's price and hourly volume (× its normal level) from 3 days before to 4 days after.

Source: Binance public market data. Event dates and causes from contemporary news reports.

13 · Certainty ledger

What holds at least 80% of the time, and what doesn't

"Holds" means the pattern appears in at least 80% of the independent weeks, days, years or events tested, or has a 95% confidence interval that excludes no effect.

14 · What it means for Perma

Timing that follows the tide

How this was made

An AI-assisted study, built step by step, with every step written down

We want you to know exactly what you are reading, so here is the whole process, including where it can go wrong.

Built for us, shared free with everyone. EOTM Labs built TideWatch for our own use, to plan launch timing for Perma. We share it free to use, with no sign-up. Something like this would normally take a small team weeks of research and building. The globe itself was made to run around the clock on a screen in our office.
Want to help EOTM Labs keep going? TideWatch is free to use. If it is useful to you, you can back our fundraiser or donate to help speed up our builds. We will build either way; support just makes it faster. Back EOTM Labs on eotm.fun.

1 · Who did what

The EOTM Labs team chose the questions, the sources and what to publish. The research work was done by AI agents (Anthropic's Claude, running in Claude Code): they wrote the data queries and scripts, ran them, cleaned the results, drew the charts and drafted the text. People reviewed the output and asked for changes; not every number was re-derived by hand.

2 · Where the numbers come from

Only public sources: exchange and aggregator APIs, Dune Analytics queries over decoded on-chain tables, and direct reads of contract state and event logs from public blockchain nodes (Robinhood Chain, BNB Chain, Solana via an RPC provider). Each chart names its source underneath. Nothing is estimated from private data.

3 · How it was checked

Where possible the same figure was measured two ways and compared, for example launch and graduation counts from Dune against a direct scan of the launchpad's own event logs. When the two disagreed, the difference was traced before publishing: one early on-chain scan counted the wrong event as a "graduation" and was caught this way. Several agents worked in parallel on separate pieces, and their scripts and outputs were kept so each result can be rerun.

4 · What can still be wrong

AI agents can misread a contract, pick the wrong event or table, or make an arithmetic slip, and a check can miss it. The underlying data can itself be incomplete, delayed, revised or distorted by bots and wash trading. Some figures are sampled or partial, and those are marked. Treat every number as an estimate that shows the size and shape of a pattern, not as an exact or audited value.

TideWatch is provided "as is", for general information and research only. EOTM Labs makes no promise that it is accurate, complete or current, and accepts no responsibility for decisions made using it. If you rely on a figure, check it against the original source. Spotted an error? Tell us on X @EOTMofficial and we'll look into it.

Data freshness

What each chart covers, and when it was last fetched

TideWatch is refreshed by hand from these sources; it is not a live feed. Each source's newest data point is listed so you can judge how current a chart is.