Cardano erases 100% of election rally gains – Can ADA hold top 10?

ambcryptoPubblicato 2025-12-20Pubblicato ultima volta 2025-12-20

Introduzione

Cardano (ADA) has erased all its gains from the election-driven bull run, falling back to the $0.30 support level. Its market cap has dropped 64% in 2025, a steeper decline than even Dogecoin. Weak fundamentals accompany this technical weakness: active addresses have plummeted, and its TVL is significantly overshadowed by smaller-cap competitors like Sui. Whale selling of 120 million ADA has added to the selling pressure. With its user engagement, TVL, and market performance all signaling overvaluation, ADA's position as the 10th-largest cryptocurrency is at serious risk of being overtaken by Bitcoin Cash (BCH).

It’s been over a year since the election cycle kicked off a bull run.

Even with all the FUD, macro uncertainty, and back-to-back flash crashes, most altcoins have managed to hold onto their election-rally gains, meaning long-term holders are still sitting on unrealized profits.

Cardano [ADA], though, hasn’t shared that resilience. After a red Q3 and Q4, ADA has slid back to its early election levels, wiping out 100% of its yearly gains and returning to a key technical area near the $0.30 support.

Notably, that weakness is clearly reflected in its market cap.

According to CoinMarketCap, ADA has shed $25 billion in 2025, translating to a 64% drop, pulling its valuation down to $14 billion.

For comparison, even Dogecoin [DOGE] has managed to cap its drawdown at 50%.

Simply put, ADA has underperformed even a memecoin.

Against this backdrop, and with the market-cap gap between Cardano and Bitcoin Cash [BCH] narrowing by the day, the question becomes: How long before ADA loses its 10th spot in the crypto rankings to BCH?

Weak fundamentals put ADA’s ranking at risk

ADA’s technical weakness is now spilling over into fundamentals.

Despite recent network upgrades, user engagement has been flat. According to DeFiLlama, active addresses on Cardano, which jumped to 93k during the election, have slid back below 25k, keeping FOMO muted.

At the same time, analysts are pointing to Sui [SUI], whose TVL is 4.5x Cardano’s despite having roughly one-third of ADA’s market cap. This discrepancy signals that Cardano may be overvalued relative to its peers.

Notably, smart money is starting to feel the squeeze too.

Analysts point out that whales have offloaded 120 million ADA in the past two months, coinciding with ADA’s roughly 50% drop from its $0.80 peak. This also highlights Cardano’s struggle to hold $0.80 as support.

Taken together, weak FOMO, falling TVL, technical weakness, and shaky fundamentals all indicate that Cardano overvalues itself. In this setup, it’s likely just a matter of time before ADA loses its 10th spot.


Final Thoughts

  • Cardano has underperformed most altcoins, losing all election-cycle gains, with weak user activity, stagnant TVL, and muted FOMO signaling technical and fundamental weakness.
  • Whale selling and overvaluation concerns suggest Cardano’s 10th spot in crypto rankings is increasingly at risk.

Crypto di tendenza

Domande pertinenti

QWhat is the main reason Cardano (ADA) is at risk of losing its top 10 cryptocurrency ranking?

ACardano is at risk due to its significant underperformance, erasing all election-cycle gains, combined with weak user engagement, stagnant Total Value Locked (TVL), whale selling, and concerns that it is overvalued compared to peers like Sui (SUI).

QHow much has Cardano's market cap dropped in 2025, and what is its current valuation?

ACardano's market cap has shed $25 billion in 2025, which is a 64% drop, pulling its current valuation down to $14 billion.

QTo what key technical support level has ADA's price returned after its decline?

AADA's price has returned to a key technical area near the $0.30 support level.

QWhat metric is used to show that user engagement on the Cardano network has decreased significantly?

AActive addresses on Cardano, which jumped to 93k during the election rally, have slid back below 25k, indicating a significant decrease in user engagement.

QWhich cryptocurrency is mentioned as a direct competitor threatening to overtake Cardano's market cap ranking?

ABitcoin Cash (BCH) is the direct competitor, as the market-cap gap between Cardano and Bitcoin Cash is narrowing by the day, putting ADA's 10th spot at risk.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit4 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit4 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit9 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit9 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit9 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit9 min fa

Trading

Spot

Articoli Popolari

Come comprare ADA

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Cardano (ADA) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente CardanoADA.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Cardano (ADA)Dopo aver acquistato Cardano (ADA), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Cardano (ADA)Scambia facilmente Cardano (ADA) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

1.4k Totale visualizzazioniPubblicato il 2024.12.10Aggiornato il 2026.06.02

Come comprare ADA

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di ADA ADA sono presentate come di seguito.

活动图片