Money & Markets

Seven of Eight Major Coins Fell Over 8% as Volatility Spike Hit

Seven of eight major coins fell 8%+ on Nov. 14 as Bitcoin's Bollinger Band width jumped from 2% to 8.6% in 24 hours. ATR rose 1.7x in 12 hours.

By Grace Kim

3 min read

7 of 8 coins fell 8%+ in a day: what a volatility filter showed
7 of 8 coins fell 8%+ in a day: what a volatility filter showedgeralt / pixabay

What's News

  • 7 of 8 major coins closed down 8%+ on Nov. 14; AVAX fell 13.6%, BTC fell 6.0%.
  • Bitcoin's Bollinger Band width rose from ~2% to 8.6% in 24 hours.
  • Bitcoin's 1-hour ATR grew from $576 (0.87%) to $935 (1.45%) in 12 hours.
  • Ethereum's band width expanded from 4.6% to 13.1% between 9 a.m. and 9 p.m.
  • The analysis recommends pausing grid-bot buys when band width doubles.

Seven of eight large-cap cryptocurrencies closed down 8% or more on Nov. 14 (UTC day, Coinbase prices), after moving just 1.5% to 4.4% the day before. That is the core finding of a TradingView analysis published by the user SignalCheckerHQ, and it captures one of the sharpest calm-to-fast regime shifts of the week.

The damage was broad. Ethereum closed down 8.3%. Solana fell 10.1%. XRP lost 9.5%. Dogecoin dropped 11.2%. Cardano fell 12.2%. Chainlink slid 9.8%. Avalanche fared worst, closing down 13.6%.

Bitcoin held up better — but only relatively. BTC closed the day down 6.0%, with a high-low range of 8.1%.

What did the volatility filters show?

The analysis is deliberately not a directional call. SignalCheckerHQ writes: "This idea is not about direction. It shows how a simple volatility filter measured the change from calm to fast, between this morning and this evening."

Two standard filters, both run on 1-hour candles, did the measuring:

  • Bollinger Band width (BBW): band width as a percentage of price, using 20 candles and 2 standard deviations.
  • ATR(14): the average size of the last 14 candles, using TradingView's RMA smoothing, reported in dollars and as a percentage of price.

On Bitcoin, the numbers moved fast (times are New York time):

  • Band width sat near 2% yesterday evening (Nov. 13).
  • It reached 4.6% by 9 a.m. on Nov. 14.
  • It hit 8.6% around 9 p.m. — more than four times the prior evening's reading.

ATR told the same story. It climbed from about $576 (0.87% of price) at 9 a.m. to about $935 (1.45%) by 9 p.m. In the author's words, that is "about 1.7 times bigger in 12 hours."

Ethereum moved even harder. Its band width went from 4.6% at 9 a.m. to 13.1% by 9 p.m. Its ATR rose from 1.14% to 1.90% of price.

How should traders use a filter like this?

SignalCheckerHQ lays out four practical applications:

  • Stops. A stop sized for a 0.9% hourly ATR sits inside normal noise once ATR hits 1.45%. Either widen the stop and cut position size, or stand aside.
  • Bots. A grid bot built for calm markets "keeps buying all the way down on a day like this." A rule like "pause new buys when band width doubles" protects the account.
  • Leverage. The same price move with a higher ATR reaches liquidation sooner. Check where liquidation sits before the day gets fast — the author points to an open-source "Liquidation vs Stop" script displayed on the chart.
  • Alerts. An alert on "band width above X%" flags that the market changed speed. As the author cautions, "It does not tell you which way it will go."

What's the takeaway?

Wider bands mean bigger moves in both directions. SignalCheckerHQ frames the piece explicitly as "a description of past candles and a way to measure risk, not a trade idea or a forecast," and adds that it is not financial advice.

The practical point for anyone running automated strategies or leveraged positions: volatility doubled in hours, not days, and the filters caught it in real time.

Source: tradingview.com

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Grace Kim

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Market editor covering people, launches and day-to-day practice in entrepreneurship, startups and venture funding at Business Bearings.

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