67% of Cardano holders underwater and most bought less than 1 year ago

CointelegraphPubblicato 2022-04-08Pubblicato ultima volta 2022-04-08

Introduzione

As Cardano (ADA) prices fall back towards the psychological one dollar level, more and more investors are finding themselves with unrealized losses by holding on to the digital asset.

As Cardano (ADA) prices fall back towards the psychological one dollar level, more and more investors are finding themselves with unrealized losses by holding on to the digital asset.
Cardano’s ADA token has had a bearish week. The price has fallen 11.4% since Monday resulting in more holders being in the red. More significantly, ADA is now 64.7% below its September 2 all-time high of $3.09 and is in danger of falling below a dollar over the next few days should the trend continue.
According to IntoTheBlock’s “in/out of the money” indicator, more than two-thirds, or 67% of ADA holders, are underwater. A quarter of Cardano investors are in the green, and 9% of them are at a breakeven point.
The indicator identifies the average cost at which the tokens were purchased and compares it to the current price, which was $1.09 at the time of writing.
The analytics provider reported that 3.41 million ADA addresses are in the red compared to just 1.25 million in the green.

In/Out of the Money: IntoTheBlockA related metric is the amount of time the token has been held. The vast majority, or 76% of ADA holders, have held it for between one and 12 months. Just 11% of Cardano investors have held the token for more than a year, and those are the ones that are still in profit.
From a technical standpoint, ADA has turned bearish and could quite quickly revisit its 2022 and yearly low point of around $0.80, which occurred in mid-March. This would plunge even more investors into the red unless they sell at a loss.
The slide in prices could be tied to the network not living up to high expectations set around the launch of smart contracts.  In terms of the numbers of decentralized applications (DApps), Cardano is still something of a wasteland with DeFi Llama reporting that there are just ten DeFi protocols running on the network with a combined total value locked of around $233 million.
Cardano co-founder Charles Hoskinson however believes that many Cardano dApps are waiting for the Vasil hard fork in June to launch. The "Basho" phase of the Cardano upgrade roadmap will focus on scalability and smart contracts with new technology called Hydra to boost network throughput even further.
In terms of other fundamenta Cardano is looking relatively strong. Network demand surged to record capacity earlier this year when the much-hyped SundaeSwap decentralized exchange was launched.
Santiment reported that Cardano was the most developed crypto project on GitHub in 2021, and Cardano NFT bonds were unveiled this week, providing another investment vehicle on the network.
However, unless there is a significant turnaround in trading sentiment, the ADA selloff may start to accelerate, putting more holders deeper underwater.

Letture associate

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit1 min fa

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit1 min fa

Probability in the Price: How World Cup Odds Are Calculated

**The Probability in the Price: How World Cup Odds Are Calculated** Two major systems released their "championship probabilities" before the 2026 World Cup, and they disagreed on the favorite. Prediction market aggregators listed France at around **17%**, while the Opta supercomputer gave European champion Spain **16.1%**. These numbers look similar, but their production methods are fundamentally different. The market's **17%** is the **price** that clears after hundreds of millions of dollars in trading across platforms like Polymarket and Kalshi, where contracts trade between 0 and 100 cents, directly representing implied probability. This liquidity is provided by crypto-native market makers like Wintermute, though the market still has "the liquidity profile of an early-stage" asset class. In contrast, Opta's **16.1%** is a **simulated frequency**. Its model uses team data (including betting market odds as an input) to estimate match probabilities, then runs **10,000 full tournament simulations**, counting how often each team wins. Which is more accurate? There is **no rigorous, cross-tournament academic study** directly comparing their track records. However, a persistent **longshot bias**—where low-probability outcomes are systematically overvalued—observed in traditional betting for nearly a century, has also been found in modern crypto prediction markets. Research shows low-price contracts on Kalshi/Polymer less likely to pay out than their implied odds suggest. Unlike traditional bookmakers, prediction markets operate on **public blockchain ledgers**, making every transaction auditable and enabling such research. However, price formation is also influenced by **regulatory uncertainty**, as seen in recent US state-level bans and legal battles over jurisdiction. In summary, the "probability" you see is either a **market-clearing price** subject to behavioral biases and liquidity constraints, or a **model-simulated frequency** that partially incorporates market data. The question of which method is more reliable remains open, highlighting the importance of asking: **How was this number produced?**

marsbit30 min fa

Probability in the Price: How World Cup Odds Are Calculated

marsbit30 min fa

Trading

Spot
Futures
活动图片