According to @EmberCN, four aggressive crypto derivatives traders who repeatedly pyramided with floating profits via rolling positions have round-tripped from large gains to zero or even principal losses after the latest move, highlighting the drawdown risk of this approach, source: @EmberCN on X, Aug 26, 2025. The pattern reported is the same style of rolling unrealized PnL to scale up, the same process of achieving huge gains through compounding, and the same outcome of giving back all profits, which is directly relevant for leverage risk assessment on perpetual futures, source: @EmberCN on X, Aug 26, 2025. For execution, the case indicates traders should prioritize partial profit-taking and de-leveraging into volatility instead of continuously compounding with unrealized gains to mitigate tail-risk of equity wipeouts, source: @EmberCN on X, Aug 26, 2025. The post discloses sponsorship by Bitget, providing context for derivatives participants reviewing platform risk disclosures and leverage settings, source: @EmberCN on X, Aug 26, 2025.

According to @lookonchain, wallet 0xbfaa opened a 3x leveraged long on 5.3M WLFI with a notional value of about $1.53M and is currently down more than $412K, source: Lookonchain on X dated Aug 24, 2025; hyperdash.info. The reported size and value imply an average entry near $0.289 per WLFI based on $1.53M divided by 5.3M, derived from the figures posted and mirrored on the trader dashboard, source: Lookonchain on X; hyperdash.info. At 3x leverage, the implied initial equity is roughly $510K, and a $412K unrealized loss points to about $98K equity remaining, an approximately 81 percent drawdown on the position based on straightforward arithmetic from the same data, source: Lookonchain on X; hyperdash.info. Traders can track the address 0xbfaa, PnL, and position health for WLFI on the hyperdash.info page to manage risk and liquidity timing, source: hyperdash.info.

According to @lookonchain, a legendary trader was liquidated on an ETH long during the market crash, realizing a $6.22M loss; the account reportedly grew from $125K to $6.99M (peaking above $43M) but now shows $771K remaining, with roughly four months of gains erased in two days (source: X post https://twitter.com/lookonchain/status/1957966462959956319, Aug 20, 2025).

According to @EmberCN, a rolling long on ETH turned an initial $125,000 into $43,000,000 in unrealized profit before closing with a $6,865,000 realized gain. Source: @EmberCN on X, 2025-08-20 https://twitter.com/EmberCN/status/1957960926986137732 They then re-entered long ETH with $6,990,000 and exited with a $6,210,000 loss, leaving $779,000. Source: @EmberCN on X, 2025-08-20 https://twitter.com/EmberCN/status/1957960926986137732 This path implies an approximately 84.0% giveback from the $43,000,000 peak unrealized profit to the $6,865,000 realized profit, and an approximately 88.9% drawdown on the redeployed $6,990,000. Source: @EmberCN on X, 2025-08-20 https://twitter.com/EmberCN/status/1957960926986137732 Net, the remaining $779,000 is about 6.23x the original $125,000 (roughly +523%), while the first realized gain equaled about 54.9x before the subsequent loss. Source: @EmberCN on X, 2025-08-20 https://twitter.com/EmberCN/status/1957960926986137732

According to @AltcoinGordon, $SWIF’s market cap ran from about $30,000 to $30,000,000 in seven days and is now roughly $8,000,000, highlighting extreme short-term volatility, source: @AltcoinGordon on X, Aug 12, 2025. Based on those figures, the move equates to an approximate 1000x run-up from base to peak, followed by a roughly 73 percent drawdown to current, while still up about 266x from the initial level, source: @AltcoinGordon. The author alleges the decline was coordinated and planned, which, if accurate, would elevate manipulation risk considerations for entries, exits, and liquidity in $SWIF; however, the post provides no on-chain or order book evidence for the claim, source: @AltcoinGordon. For traders, the current level near $8,000,000 serves as a practical reference for risk framing after the reported parabolic cycle and subsequent drawdown, source: @AltcoinGordon.

According to Charles Edwards, the current Bitcoin (BTC) market cycle has experienced a maximum drawdown of only 33%, a figure significantly below historical norms for the asset. This observation supports the thesis of a multi-year downtrend in Bitcoin's volatility. Edwards suggests this trend of decreasing volatility will likely continue until Bitcoin establishes itself as a form of base money, indicating a maturing market structure that could present different risk-reward profiles for traders compared to previous cycles.

According to The Kobeissi Letter, the S&P 500 Information Technology sector has dropped 11.0% since its December high, officially entering a correction. This marks the third drawdown of at least 10% over the last 2 years, with Magnificent 7 stocks leading the decline.

According to The Kobeissi Letter, the S&P 500 Information Technology sector has dropped 11.0% since its December high, officially entering a correction. This marks the third drawdown of at least 10% over the last 2 years, with Magnificent 7 stocks leading the decline.

According to Miles Deutscher, the recent BTC correction saw a significant -28.5% drawdown from its peak, marking one of the largest corrections in this cycle. Historically, drawdowns between 20-30% have often presented lucrative buying opportunities, potentially even for short-term bounces.

According to Trader Tardigrade, Dogecoin has experienced a significant 57% drawdown, a pattern that has historically preceded major bull runs in previous cycles. This recent pullback and retest of a key support level suggest a potential bullish trend for Dogecoin leading into 2025. This historical precedent could be crucial for traders looking to capitalize on upcoming market movements.

According to Trader Tardigrade, Dogecoin reached a local top of $4.84 on December 8, 2024, experiencing a maximum drawdown of 58% over the past 78 days. This information is crucial for traders as it highlights a significant price correction, indicating potential volatility and risk in trading Dogecoin. The data is essential for assessing current market sentiment and devising future trading strategies.

According to Miles Deutscher, a significant number of the top 100 cryptocurrencies have experienced notable drawdowns over a 90-day period, with 8 out of the top 20 being meme coins. This indicates a high level of volatility and risk associated with meme cryptocurrencies, which traders should consider when making investment decisions.