XRP Has Undergone the Most Negative Period in Its History Over the Last Three Months, But Data Doesn't Show It

cryptonews.ruPublished on 2026-08-15Last updated on 2026-08-15

Abstract

XRP has experienced its most negative investor sentiment in three months as the price failed to recover as expected, according to data from Santiment. Comments across social media platforms show retail investors growing significantly more pessimistic, a trend likely to persist in the short term with the price below $1. However, blockchain activity on the XRP Ledger tells a different story. In the last 24 hours, the network recorded 49,929 active addresses, the highest figure in over two months. This recent surge in activity, following a period of historically low engagement earlier in July, presents a key contrarian signal. Santiment suggests that the combination of high on-chain activity and extreme negative sentiment creates a scenario that could appeal to XRP bulls. The platform indicates that if XRP maintains its current technical structure and demand recovers, the present pessimism may later be viewed by cryptocurrency users as a discount buying opportunity.

According to Santiment data, investor sentiment towards $XRP has fallen to its most negative level in the last three months, as the price has not shown the expected recovery. Comments on Reddit, Telegram, and other crypto communities indicate that retail investors are becoming significantly more pessimistic about $XRP.

Santiment noted that a fall in the price of $XRP below the $1 level could increase pressure on individual investors. In the company's view, given the current price outlook, it's unsurprising if negative social media sentiment persists in the short term.

However, activity on the $XRP Ledger blockchain paints a different picture than the price and sentiment. Over the last 24 hours, 49,929 active addresses were registered on the $XRP network. This figure represents the highest number of active addresses on the network in over two months.

Santiment pointed out that in early July, $XRP Ledger activity approached its lowest level since 2026, and stated that the recent spike could be an important counter-signal for the market.

According to the platform, the simultaneous occurrence of high blockchain activity and extremely negative investor sentiment creates a scenario that $XRP bulls will want to follow. Santiment claims that if $XRP maintains its current technical structure and demand recovers, the current pessimism could be viewed by crypto users in the future as a "discounted buying opportunity."

*This is not investment advice.

end-content

Trending Cryptos

Related Questions

QAccording to Santiment, what has happened to investor sentiment towards XRP over the last three months?

AInvestor sentiment towards XRP has fallen to its most negative level in the last three months.

QWhat recent data point about the XRP Ledger network activity contrasts with the negative price sentiment?

AOver the last 24 hours, the XRP Ledger network registered 49,929 active addresses, which is the highest number in over two months.

QWhat scenario does Santiment suggest is created by the combination of high blockchain activity and extremely negative investor sentiment?

ASantiment suggests that the combination creates a scenario that XRP bulls will want to follow, potentially viewing the current pessimism as a 'discounted buying opportunity' in the future.

QWhat could intensify the pressure on individual investors according to Santiment's analysis?

ASantiment noted that the price of XRP falling below the $1 level could intensify pressure on individual investors.

QWhat did Santiment state about the activity level of the XRP Ledger at the beginning of July?

ASantiment stated that the XRP Ledger activity in early July neared its lowest level since 2026.

Related Reads

$2 Trillion: Countdown to AI's Largest IPO in History

The countdown for the largest IPO in AI history, a potential $2 trillion listing for Anthropic, is underway for October. The staggering valuation, reportedly projected by several investors, contrasts with the company's own internal restraint on setting a public target. Founded five years ago by former OpenAI core members, Anthropic's growth has been meteoric. Annual recurring revenue (ARR) surged from ~$9B in late 2025 to $47B by May 2026, with Q2 2026 revenue of $11.5B marking a 14x year-over-year increase. Bank valuations are even based on internal 2028 revenue forecasts of $190-200B. A key growth driver is Claude Code, its AI coding assistant. Its ARR quintupled in five months to $2.5B by February 2026, now constituting nearly 20% of total revenue. Surveys indicate Anthropic commands roughly 40% of enterprise LLM spending, doubling OpenAI's share in programming-specific use. However, alongside this explosive growth, reports detail significant internal cultural strife. Critics describe a divisive "priesthood" of PhD executives, led by CEO Dario Amodei, who promote a "save humanity" narrative that some employees find cult-like and alienating. This has reportedly created a demoralized workforce and a covert "underground network" of dissent among engineers torn between lucrative pre-IPO equity and a toxic work environment. Anthropic now faces a pivotal paradox: pursuing its mission of "safe" AI requires immense capital for compute, yet that capital demands relentless commercial growth. As it approaches its historic IPO, the company must navigate intense regulatory scrutiny, soaring operational costs, and internal tensions—any of which could destabilize its post-listing trajectory, much like SpaceX's significant post-IPO stock drop. The stage is set for a defining moment in tech history.

marsbit1h ago

$2 Trillion: Countdown to AI's Largest IPO in History

marsbit1h ago

AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

"AI for Cost Reduction Makes VC Funding More Expensive" Despite the "cost-reduction and efficiency" narrative of AI, venture capital (VC) investment in the AI sector is becoming increasingly costly. While AI tools lower the initial costs for many startups—with team sizes shrinking across funding stages—the market is polarizing. For top-tier AI teams, especially those from leading companies like Google and OpenAI, funding rounds are now larger and valuations are higher than ever at the seed and early stages. For example, new ventures by prominent researchers are securing billions in funding with valuations reaching tens of billions before having a mature product. This creates a "barbell" market: lightweight startups need less capital, while elite AI firms attract massive investments early on. This dynamic raises the cost for VCs to acquire and maintain meaningful ownership stakes. As valuations soar early, securing the same equity percentage requires significantly larger capital commitments. VCs must now invest more upfront and reserve substantial funds for follow-on rounds to avoid dilution, prompting large firms like Accel and a16z to raise massive new funds. Consequently, capital is concentrating intensely in a few perceived winners like OpenAI and Anthropic, widening the gap between large and small VC funds. While high valuations bake in future growth expectations, they also compress potential returns, demanding that portfolio companies achieve unprecedented scale. For major VCs, the core strategy is clear: secure early positions in potential winners and maintain the capital to keep investing as valuations rapidly escalate.

marsbit1h ago

AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

marsbit1h ago

An Eight-Year Investment Takes a Sharp Turn: Why Did Ethereum Suddenly Abandon Poseidon?

On August 13, Ethereum researcher Justin Drake announced a significant shift in Ethereum's Layer-1 cryptographic roadmap: abandoning the SNARK-friendly hash function Poseidon in favor of traditional functions like SHA2 or BLAKE2. This decision ends eight years of research and investment, marking a major revision to the post-quantum security strategy. Poseidon, introduced in 2019, was highly efficient for zkRollups and zkVMs within SNARK circuits. However, its need for prolonged cryptanalysis and the pressing timeline for quantum resistance revealed limitations. Recent breakthroughs in SNARK design, specifically using binary fields, now enable traditional, battle-tested hash functions to perform as efficiently as Poseidon within SNARKs. Benchmarks show modern laptops can now verify over a million traditional hash calls per second. This change is partly driven by accelerated concerns over quantum computing threats. Reports warn that "Cryptographically Relevant Quantum Computers" could break current blockchain signatures like ECDSA by the early 2030s, risking trillions in assets. Ethereum's response focuses on hash-based post-quantum signature schemes, deemed more quantum-resistant than some lattice-based alternatives under pressure from AI cryptanalysis. Ethereum's updated post-quantum roadmap targets a production-ready "leanVM" for signature aggregation by 2027, with full deployment across consensus, execution, and data layers by 2028. The shift to mature hash functions like SHA2 reduces reliance on newer algorithms and aligns with the goal of using widely analyzed cryptographic primitives. Other major blockchains are also preparing. Solana's core teams have independently chosen the NIST-standardized Falcon signature scheme for its compact size. Starknet plans a phased migration, starting with replacing its Pedersen hash with BLAKE2. Ethereum's move signifies a strategic pivot towards proven security foundations for the quantum era.

marsbit3h ago

An Eight-Year Investment Takes a Sharp Turn: Why Did Ethereum Suddenly Abandon Poseidon?

marsbit3h ago

Programmers Worldwide Are Wasting Money on Anthropic! The Company Can't Stand It Anymore

Anthropic recently published guidelines to help developers using Claude Code reduce unnecessary token costs. The key recommendations include: 1) Clear (/clear) conversations after completing a task to avoid carrying irrelevant file reads and command outputs into the next task. 2) Set the model and reasoning effort level at the start of a session, as switching mid-session invalidates the prompt cache, requiring a full-price recalculation of the entire dialog history. 3) Attach files using @ references instead of typing paths manually to avoid extra tool calls and searches that bloat the context. 4) Add quiet flags to verbose commands (e.g., in CLAUDE.md) to minimize lengthy output in the dialog history. 5) Use /compact while the session cache is still warm (before breaks) to compress the dialog at one-tenth the cost. 6) Offload large-output tasks to a sub-agent, which runs in an isolated context and only returns conclusions, preventing intermediate outputs from polluting the main dialog. The article explains token pricing: input tokens (prefill) are processed in parallel, while output tokens (decode) are generated serially, making output tokens five times more expensive. Caching is crucial for savings—if a request's prefix (system prompt, CLAUDE.md, dialog history) matches the previous one byte-for-byte, reading it costs only 10% of the standard input price. However, cache invalidation occurs when changing models, effort levels, fast mode, compressing dialogs, after cache expiration, or when resuming old sessions. Dialog history also grows quadratically (O(n²)) as file contents and command outputs accumulate, increasing costs per round. Proactive context management—like isolating noisy tasks, using /rewind to trim unproductive turns, and task-based session clearing—is becoming an essential skill for cost-effective AI-assisted development.

marsbit5h ago

Programmers Worldwide Are Wasting Money on Anthropic! The Company Can't Stand It Anymore

marsbit5h ago

Trading

Spot

Hot Articles

How to Buy DATA

Welcome to HTX.com! We've made purchasing DATA Network (DATA) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy DATA Network (DATA) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your DATA Network (DATA)After purchasing your DATA Network (DATA), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade DATA Network (DATA)Easily trade DATA Network (DATA) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

1.8k Total ViewsPublished 2026.07.01Updated 2026.07.01

How to Buy DATA

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of DATA (DATA) are presented below.

活动图片