Monad (MON) news: what is happening today
Market summary from our own Hyperliquid data · updated 2026-07-25 04:14 UTC
Monad climbs 10.40% in a month, as our model stays defensive
Monad is up 10.40% over a month. What follows is what sits behind that move: large-wallet positioning, derivatives, our own model and publisher headlines.
What matters on Monad right now?
Our own rules-based model reads Monad at 44/100, which is SELL territory. What stands out right now:
- MACD turned bearishMACD turned bearish, with price below the 50-day average.
- The whale book is crowded long56% of active large-wallet money is positioned long — $10.6 M against $8.2 M across 75 wallets.
- An outsized daily move broke the recent volatility rangeThe daily range blew past its recent norm, with price +15.62% on the session.
What does the Monad data show?
1. MACD turned bearish
MACD flipped bearish: the fast average of price pulled below the slow one, which is the earliest of the trend signals we track and the noisiest. Market structure is sideways — no sequence of higher or lower swings. The most recent daily candle pattern is three black crows. RSI (14) is 44.4.
2. The whale book is crowded long
56% of active large-wallet money on Monad is positioned long right now: $10.6 M long against $8.2 M short, spread over 75 wallets on Hyperliquid. A one-sided long book is fuel in both directions. It can squeeze higher while shorts cover, but crowded longs also unwind faster than they build, because every stop sits in the same place. These are open positions read from the chain, not opinions, and they change daily.
3. An outsized daily move broke the recent volatility range
The daily range blew past its recent norm — price moved +15.62% on the session. Volatility clusters: an outsized day is more often followed by other outsized days than by calm, which matters for position sizing far more than for direction.
What has already happened to Monad?
July 2026
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- Monad moved +15.62% in a day, 5.0× its 30-day volatility30-day standard deviation of daily returns 3.16%+15.62%
- MON traded $7.9 M, 5.5× its 30-day median volume while price moved +15.62%30-day median volume $1.4 M+15.62%
- MON’s MACD crossed into bullish territoryMACD line against its own signal line on closed daily candles
June 2026
- MON’s MACD crossed into bullish territoryMACD line against its own signal line on closed daily candles
- MON RSI entered oversold territory at 29.2RSI was 34.0 the day before; the bands are 30 and 70
Show the earlier history (29 more entries)
May 2026
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- MON formed a golden cross: the 50-day average crossed above the 200-daySMA 50 $0.02992 against SMA 200 $0.02912, 2.76% apart
- Monad closed higher 7 sessions in a row, +21.80% over the streak7 consecutive closed daily candles in the same direction+21.80%
April 2026
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- MON traded $19.5 M, 3.3× its 30-day median volume while price moved +10.39%30-day median volume $5.9 M+10.39%
- Monad closed at a 90-day high of $0.03520Previous peak of the 90-day window $0.03301, exceeded by 6.64%+6.64%
- Monad closed at a 90-day high of $0.03301Previous peak of the 90-day window $0.03114, exceeded by 5.99%+5.99%
- MON RSI entered overbought territory at 71.7RSI was 68.6 the day before; the bands are 30 and 70
- MON traded $28.7 M, 7.1× its 30-day median volume while price moved +2.38%30-day median volume $4.0 M+2.38%
- Monad closed at a 90-day high of $0.03042Previous peak of the 90-day window $0.02832, exceeded by 7.40%+7.40%
- MON traded $17.0 M, 4.5× its 30-day median volume while price moved +9.34%30-day median volume $3.8 M+9.34%
March 2026
- Monad moved +13.32% in a day, 3.1× its 30-day volatility30-day standard deviation of daily returns 4.27%+13.32%
- MON traded $15.4 M, 6.0× its 30-day median volume while price moved +13.32%30-day median volume $2.6 M+13.32%
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
February 2026
- MON’s MACD crossed into bullish territoryMACD line against its own signal line on closed daily candles
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
January 2026
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- MON traded $35.1 M, 3.8× its 30-day median volume while price moved +17.63%30-day median volume $9.2 M+17.63%
December 2025
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- MON RSI entered oversold territory at 29.9RSI was 30.6 the day before; the bands are 30 and 70
- Monad closed lower 7 sessions in a row, −29.26% over the streak7 consecutive closed daily candles in the same direction−29.26%
- MON traded $32.1 M, 10.9× its 30-day median volume while price moved −2.62%30-day median volume $2.9 M−2.62%
November 2025
- MON traded $63.4 M, 25.0× its 30-day median volume while price moved −13.27%30-day median volume $2.5 M−13.27%
- Monad moved +49.01% in a day, 4.2× its 30-day volatility30-day standard deviation of daily returns 11.76%+49.01%
- MON open interest rose 64.92% to $22.5 M while price moved +19.20%: new longs buildingCompared with a point 1 day(s) earlier; rule: price and open interest moving together means new positions+19.20%
- MON traded $14.1 M, 8.0× its 30-day median volume while price moved +19.20%30-day median volume $1.8 M+19.20%
- MON’s MACD crossed into bearish territoryMACD line against its own signal line on closed daily candles
- MON RSI entered oversold territory at 29.7RSI was 30.2 the day before; the bands are 30 and 70
- MON traded $9.5 M, 4.1× its 30-day median volume while price moved −11.75%30-day median volume $2.3 M−11.75%
Entries are produced by the Spottrench algorithm from Hyperliquid data.
What is in the news about Monad?
Headlines about Monad from third-party publishers. Each links to the original article; we never claim a headline moved the price — our own read is the measured signal above.
- Aave’s Monad Market Tops $100 Million As DeFi Liquidity Chases New RailsAave’s new Monad market has crossed $100 million in deposits shortly after launch, giving the DeFi sector a fresh growth signal.
Headlines from publisher RSS feeds
What is next for Monad?
Dates we can verify and levels that would change the read on Monad. No project roadmaps here — only schedules that exist on-chain or in the company calendar, and thresholds measured from our own data.
Unlock schedule from DefiLlama; earnings dates from the company calendar.
The bottom line
Pulling it together, our combined signal reads SELL (44/100, where 50 is neutral). On the last closed day Monad fell 3.20% against a category median of +0.00%, with 88 of 177 markets in the category closing lower. We do not claim to know why Monad moved — everything above is measurement, not a cause.
Frequently asked questions
What is the latest news on Monad?
The most recent development we recorded is: MACD turned bearish (2026-07-24). This page is a dated log computed from market data rather than a press feed — every entry is a measurement with the date it happened.
How often is the Monad page updated?
Once a day: it is recomputed after the daily candle closes, and the time of the last update is printed at the top of the page. Log entries are dated by the day the event happened, not the day we published it.
Where does the Monad data on this page come from?
From Hyperliquid directly: daily candles, open interest, funding and the on-chain positions of active large wallets. Nothing here is copied from another site's article, and no language model writes the text — the wording is generated from the numbers by fixed rules.
Is this Monad page investment advice?
No. It is an algorithmic summary of measured market data from Hyperliquid — price moves, positioning, derivatives and our own model. It is not investment advice and past performance does not guarantee future results.
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