Apple Crypto Scam Had Thousands of Viewers Amid iPhone 14 Unveiling: Report

CryptoPotato2022-09-08 tarihinde yayınlandı2022-09-08 tarihinde güncellendi

Özet

Apple unveiled the next generation of some of its products, but scammers tried to intercept and profit.

Cryptocurrency scams are, unfortunately, a never-ending part of the industry, in which bad actors are trying to offer something too good to be true (usually to double one’s assets).

The latest example came hours ago when Apple had a live event in regards to the new iPhones, AirPods, and Apple Watches.

When the nearly 50-year-old tech giant announces the new generation of its product line, all eyes are typically on the company. This was the case yesterday when Tim Cook and co unveiled the new iPhones (14), AirPods, and Apple Watches.

However, bad actors were also prepared. Perhaps expecting people to be turning in to watch Apple-related videos on YouTube, scammers reshaped an old interview with the company’s CEO to promote a fraudulent crypto website.

According to the Verge, the video had “plenty of signs of being fake,” including a weird title – Apple Event Live. Ceo of Apple Tim Cook: Apple & Metaverse in 2022 and had tens of thousands of people watching at one point.

However, the bad actors had added the BTC and ETH logos on the stream and redirected viewers to a dubious URL that had nothing to do with Apple. The Verge said YouTube did remove the video after a while.

These types of crypto scams have been going on for a long time. The perpetrators usually use a famous brand or person to dupe victims into sending their cryptocurrency to their wallets while promising to double them in return.

While this sounds like a blatant scam (because it is), there have been numerous occasions where they proved to be profitable.

İlgili Okumalar

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbit1 saat önce

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片