Fetch.ai (FET) 形成看漲下降楔形模式，Nvidia 炒作可能有助於避免大幅損失

Fetch.ai (FET) 最近經歷了顯著的價格波動。該代幣的價值跌至 1 美元，凸顯了對其的看跌壓力。

Artificial intelligence crypto token prices experienced significant volatility last week as a result of Nvidia's recent爆発的な成長 and the Artificial Superintelligence Alliance's (ASA) revised timeline for the much-anticipated token merge.

由於英偉達最近的爆發式增長以及人工超級智慧聯盟（ASA）修改了備受期待的代幣合併時間表，人工智慧加密代幣價格上週經歷了大幅波動。

The move aims to enhance the ecosystem's efficiency and interoperability, further integrating AI capabilities across various platforms.

此舉旨在提高生態系統的效率和互通性，進一步整合跨平台的人工智慧能力。

After experiencing a sharp decline in value, dropping as low as $1, highlighting the bearish pressure against it, Fetch.ai (FET) prices recovered on June 19, likely fueled by Nvidia's recent growth that saw the company become the world's most valuable company.

在經歷了價值急劇下跌、跌至1 美元、凸顯了其面臨的看跌壓力之後，Fetch.ai (FET) 的價格於6 月19 日回升，這可能是受到英偉達近期增長的推動，該公司成為了全球最有價值的公司。

However, despite these efforts, the AI crypto token's price remains under pressure, reflecting broader market dynamics and investor sentiment.

然而，儘管做出了這些努力，人工智慧加密代幣的價格仍然面臨壓力，反映了更廣泛的市場動態和投資者情緒。

The Fetch.ai token price moves within a ‘descending channel,’ with clear resistance at $1.57 and primary support at $1.00. The pattern, marked by parallel trendlines, indicates a continuation of bearish sentiment unless significant buying pressure emerges.

Fetch.ai 代幣價格在「下降通道」內波動，明顯阻力位為 1.57 美元，主要支撐位為 1.00 美元。此模式以平行趨勢線為標誌，表示看跌情緒將持續，除非出現重大買盤壓力。

The recent increase in trading volume during price declines highlights strong selling pressure, underscoring the need for a careful evaluation of support and resistance levels.

最近價格下跌期間交易量的增加凸顯了強大的拋售壓力，強調需要仔細評估支撐位和阻力位。

Nvidia has recently become a focal point in the market, with its valuation reaching an astounding $3.3 trillion. This surge can be attributed to several key factors.

英偉達最近成為市場焦點，其估值達到驚人的3.3兆美元。這種激增可歸因於幾個關鍵因素。

Firstly, Nvidia reported record-breaking quarterly revenues, driven primarily by its data center and AI-related businesses. In the first quarter of 2024, Nvidia posted a revenue of $13.5 billion, a 50% year-over-year increase, with its data center segment alone contributing $7.5 billion.

首先，英偉達公佈了創紀錄的季度收入，這主要是由其資料中心和人工智慧相關業務推動的。 2024年第一季度，英偉達營收為135億美元，年增50%，其中光是資料中心業務就貢獻了75億美元。

Moreover, the global demand for AI and machine learning applications has skyrocketed. Nvidia's GPUs are central to the AI revolution, powering everything from data centers to autonomous vehicles.

此外，全球對人工智慧和機器學習應用的需求激增。 Nvidia 的 GPU 是人工智慧革命的核心，為從資料中心到自動駕駛汽車的一切提供動力。

However, despite this positive sentiment, Fetch.ai's technical indicators suggest caution. The token must break above the $1.57 resistance convincingly to signal a potential bullish reversal. A rebuttal from the channel's upper trendline could push FET prices downwards.

然而，儘管存在這種積極情緒，Fetch.ai 的技術指標卻顯示出謹慎態度。該代幣必須令人信服地突破 1.57 美元阻力位，才能發出潛在的看漲逆轉訊號。來自通道上方趨勢線的反駁可能會推動 FET 價格下跌。

Traders should closely monitor the $1 support level, as a breach could lead to further declines.

交易者應密切關注 1 美元的支撐位，因為突破可能導致進一步下跌。

The broader enthusiasm surrounding Nvidia's advancements could serve as a catalyst for renewed interest in AI-related cryptocurrencies, but market participants should remain vigilant and base their decisions on confirmed signals and volume patterns.

圍繞英偉達進步的更廣泛熱情可能會成為人們對人工智慧相關加密貨幣重新產生興趣的催化劑，但市場參與者應保持警惕，並根據已確認的信號和交易量模式做出決定。

Bullish Pattern Could Help FET Recover

看漲模式可能有助於 FET 恢復

Meanwhile, FET price has formed a bullish technical pattern called the ‘falling wedge.’

同時，FET 價格形成了一種看漲的技術形態，稱為「下降楔形」。

A falling wedge pattern features a pair of converging trend lines connecting lower highs and lower lows, forming a narrowing shape that slopes downward.

下降楔形形態的特徵是有一對會聚的趨勢線，連接較低的高點和較低的低點，形成向下傾斜的收窄形狀。

The pattern indicates that an asset's price while consolidating in a downtrend, is losing bearish momentum and preparing for a potential reversal to the upside. Typically, a breakout occurs upward, in line with the overall trend.

該模式表明，資產價格在下跌趨勢中盤整的同時，正在失去看跌勢頭，並為潛在的上行逆轉做好準備。通常，突破會向上發生，與整體趨勢一致。

To estimate the price target, traders measure the widest part of the wedge at the beginning and project this distance upward from the breakout point. A higher trading volume during the breakout confirms the reversal's reliability, indicating stronger market conviction and a higher likelihood of success.

為了估計價格目標，交易者在開始時測量楔形的最寬部分，並從突破點向上預測這個距離。突破期間交易量增加證實了反轉的可靠性，顯示市場信念更強，成功的可能性更高。

According to the rules of technical analysis, FET price might rally over 153% from its current level to reach the pattern's projected target near $3.9.

根據技術分析規則，FET 價格可能會從當前水準上漲 153% 以上，達到該模式的預期目標接近 3.9 美元。

However, the token is currently testing the support trendline of the pattern. Thus, bulls must capitalize on the Nvidia hype to ensure Fetch.ai does not invalidate the pattern.

然而，該代幣目前正在測試該模式的支撐趨勢線。因此，多頭必須利用 Nvidia 的炒作，以確保 Fetch.ai 不會使該模式失效。