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The crypto‑market correction triggered a sweeping purge of leveraged positions, creating conditions for a new leg higher in digital gold. Such a view was shared by CryptoQuant contributor EgyHash. 
According to him, open interest in bitcoin futures plunged by $12bn — from $47bn to $35bn. He called it “one of the most significant reductions in recent years.” 
The estimated leverage ratio (ELR), which gauges traders’ average leverage relative to exchange reserves, fell to its lowest since 2022. 
However, the ratio of stablecoins to bitcoin (SSR) plays a particular role, EgyHash noted. The reading has matched April lows. 
“This trend indicates rising liquidity in ‘stable coins’ relative to the first cryptocurrency, which potentially points to an accumulation of purchasing power,” the expert explained. 
He stressed that historically such reductions in borrowed positions have preceded significant long-term uptrends. 
EgyHash’s conclusions are also supported by Glassnode’s analysis. The firm noted that the sweeping liquidation erased “excess” speculative bets, reducing the risk of similar crashes in future. 
Friday’s wipeout triggered the largest futures liquidation in Bitcoin’s history. Over $11B in open interest was erased as leverage was forcefully unwound. A historic deleveraging event that has reset speculative excess across the market. pic.twitter.com/IzcEtGbCSE
— glassnode (@glassnode) October 13, 2025

According to Glassnode, funding rates across crypto derivatives have dropped to their lowest since the 2022 bear market. 
Funding rates across the crypto market have plunged to their lowest levels since the depths of the 2022 bear market.
This marks one of the most severe leverage resets in crypto history, a clear sign of how aggressively speculative excess has been flushed from the system. pic.twitter.com/XBufZmA9vs
— glassnode (@glassnode) October 12, 2025

Negative readings indicate a dominance of short positions, as traders expect further declines. Yet extremely low rates often set the stage for a bullish scenario — if prices begin to rise, a short squeeze may force short-sellers to close positions en masse. 
At the time of writing, the long-to-short ratio stands at 46.58% versus 53.42%. 
Bitcoin’s funding rate on Binance remains in negative territory, signalling investor caution. Ethereum’s has turned positive. 
At the time of writing, the first cryptocurrency trades around $114,500, up 2.1% over the past 24 hours. The leading altcoin has recovered to $4,100. 
Earlier, crypto funds saw inflows of $3.17bn amid the market pullback. Since the start of the year, cumulative inflows have reached $48.67bn. 
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XRP Ledger is closing in on 100 million ledgers, a historic milestone for the network, which launched in mid-2012. XRP Ledger dUNL validator Vet brings this fact to the spotlight in a recent tweet.
According to xrpscan data, the current ledger count is 99,490,488, with a remaining 509,512 for the XRP Ledger to reach the historic 100 million ledger milestone.
Good Morning to everyone, especially to those who made it possible over all the years to have us close soon the 100 million ledger mark on the XRPL. pic.twitter.com/fwrMUd3lMC
The XRP Ledger first launched in June 2012, although its early development began in 2011 by the trio of David Schwartz, Jed McCaleb and Arthur Britto, who, fascinated with Bitcoin, sought to build a distributed ledger that improved upon its fundamental limitations, with the goal of creating a digital asset that was more sustainable and built specifically for payments.
This vision birthed XRP, currently the fifth largest cryptocurrency by market cap, according to CoinMarketCap data.
XRP, XRP Ledger and Ripple USD (RLUSD) passed a stress test on the market following a crash that saw over $19 billion in liquidations over the weekend; XRP rebounded while RLUSD continues to maintain its $1 USD peg.
XRP price rebounds
XRP clawed back losses following Friday’s crash from $2.83 to $1.77, rebounding from a 41% collapse to reach $2.64 early Monday.
XRP rebounded significantly, recovering in market value, which is currently $157.11 billion after a tariff-driven collapse over the weekend.
Buyers sharply bought Friday's dip of $1.77, with prices rising for the third day to $2.64. At press time, XRP was up 9.24% in the last 24 hours to $2.62 but down 12.87% weekly. It is a good thing that XRP is now trading above its daily moving average 200 at $2.57. It will be watched in coming sessions to see if XRP holds above that level to target levels at $2.89 (the daily MA 50) and $3.
Select market data provided by ICE Data Services. Select reference data provided by FactSet. Copyright © 2025 FactSet Research Systems Inc.Copyright © 2025, American Bankers Association. CUSIP Database provided by FactSet Research Systems Inc. All rights reserved. SEC fillings and other documents provided by Quartr.© 2025 TradingView, Inc.

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LivLive ($LIVE) Joins the Spotlight as XRP Price Prediction Targets $8–$13 Amid Uptober Rally  BlockchainReporter
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XRP Price Prediction: Why Traders Expect a Sharp Rally for Ripple and Little Pepe (LILPEPE) By 2026  BlockchainReporter
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  Here are five quality tips for using NotebookLM to make a data scientist's day a little easier.   <br><center><img decoding="async" src="data:image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg'%20width='100%'%20height='0'%20viewBox='0%200%20100%%200'%3E%3C/svg%3E" alt="5 NotebookLM Tips to Make Your Day a Little Easier" width="100%" class="perfmatters-lazy" data-src="https://www.kdnuggets.com/wp-content/uploads/kdn-mayo-5-notebooklm-tips-day-easier.png" /><noscript><img decoding="async" src="https://www.kdnuggets.com/wp-content/uploads/kdn-mayo-5-notebooklm-tips-day-easier.png" alt="5 NotebookLM Tips to Make Your Day a Little Easier" width="100%" /></noscript><br /> <font size="-1">Image by Editor</font></center><br /> &nbsp;<br>&nbsp;<br /> NotebookLM is a powerful, source-grounded research assistant that can streamline workflows for professionals across various fields. For data scientists, tasks such as managing extensive literature reviews, generating structured reports, and maintaining dynamic documentation can be challenging and time-consuming, but also provide an opportunity to leverage NotebookLM.<br>Don't think of NotebookLM as a summarizer, a simple chat interface to your documents and sources, or a problem-solver that will magically take your content and work miracles. NotebookLM is a complex machine with great potential that you need to learn how to properly operate in order to maximize your results.<br>&nbsp;<br>&nbsp;<br /> Here are five high quality tips for using NotebookLM to make your day as a data scientist a little easier.<br>&nbsp;<br>As a data scientist, staying current with academic papers, documentation, and technical blogs is critical but time-consuming. NotebookLM allows you to bulk upload lots of sources all at once &mdash; including PDFs, transcripts, and blog posts &mdash; for instant consolidation. To efficiently manage this influx of material, think about it in two separate steps.<br>First, you will consolidate research by uploading all of your project-related documents into a single notebook to create an instant literature review. This centralizes your research materials for quick and easy access. Next, identify themes and patterns by instructing NotebookLM to cluster these sources into themes. This functionality analyzes the documents to identify common concepts, patterns, or overarching themes. This "cluster and analyze approach" step is invaluable for quickly synthesizing the intellectual landscape of a given domain, and could lead to uncovering insights you may not have even considered.<br>&nbsp;<br>NotebookLM's strength is its source-grounding, but combining it with other specialized AI tools can enhance the quality and verification of your insights.<br>Use NotebookLM to extract a key fact or finding from your source material (which might be new knowledge) and then feed that extracted fact into a deep research search engine like Perplexity, to fact-check the veracity of the statement. This workflow uses NotebookLM to draw out information paired with an external tool to check for strong support or necessary nuances in existing research.<br>&nbsp;<br>Data scientists are often tasked with translating complex data analysis into accessible presentations or reports. NotebookLM simplifies this transition from raw data sources to polished content structure.<br>When working with multiple related documents, you can select specific sources and use a prompt to merge them into a single structured outline. This outline can be organized using hierarchical headings (for example, H2 for major themes and H3 for sub-points) while preserving the original citations. With your outline in hand, you can start fleshing your report and finding the dpecific details you wish to convey.<br>You can also use a prompt to analyze the data in spreadsheets or table-heavy documents that you choose as sources. If you were generating a presentation, NotebookLM could identify key patterns, outliers, or trends and group these insights into logical slide sections (such as Sales Trends, Regional Performance, etc.). The resulting outline from the prompt could include concise bullet points and suggestions for appropriate visuals (bar chart, line graph, pie chartm or whatever else made contextual sense) if desired, and could then be easily transferred to Google Slides or PowerPoint.<br>&nbsp;<br>Often in data science, project documentation (including methodology logs, data dictionaries, feature engineering notes, etc.) is often considered a set of "living" documents that require constant updates. NotebookLM is able to simplify the maintenance of this dynamic documentation.<br>Importantly, you would decide to maintain your technical documentation in Google Docs, and then add the relevant documents as sources to NotebookLM, rather than uploading static PDFs. Then, when you update the Google Doc with new findings or model parameters, you don't need to delete and re-upload the source. Instead, navigate to the source in NotebookLM, click the Google Doc entry to open, and hit the Google Drive icon directly beneath the source title to sync with Google Drive. This ensures that when you query your notebook, the AI is referencing the most recent, up-to-date version of your technical material.<br>This capability makes Google Docs a superior choice for documents you expect to update frequently.<br>&nbsp;<br>When dealing with a vast amount of initial research, like transcripts, blog posts, and raw data outputs, the noise can sometimes lead to less focused AI responses. To help prevent against this, you can use an internal pre-processing hack.<br>First, generate a condensed report in NotebookLM by utilizing the Reports button in the Studio panel to generate a Briefing Doc, Study Guide, or Communications Plan based on your initial bulk sources. These generated reports are condensed summaries of your source material. Next, you will convert this report to a source, done by clicking the three dots next to the generated report and selecting "Convert to source." This turns the condensed, focused summary into a new, cleaner source document within your notebook.<br>You can then select this new, condensed source for generating Mind Maps, Audio Overviews, or answering complex questions. NotebookLM is then able to pull more focused and relevant responses, cutting through the original "noise".<br>&nbsp;<br>&nbsp;<br /> That's five NotebookLM tips to help make your day a little easier. Hopefully there was something you were able to take away form it. There are plenty more NotebookLM tips and tricks to discover, so be on the lookout or share yours below.<br /> &nbsp;<br /> &nbsp;<br><a href="https://www.linkedin.com/in/mattmayo13/" rel="noopener"><b><strong><a href="https://www.kdnuggets.com/wp-content/uploads/./profile-pic.jpg" target="_blank" rel="noopener noreferrer">Matthew Mayo</a></strong></b></a> (<a href="https://twitter.com/mattmayo13" rel="noopener"><b>@mattmayo13</b></a>) holds a master's degree in computer science and a graduate diploma in data mining. As managing editor of <a href="https://www.kdnuggets.com/" rel="noopener">KDnuggets</a> &amp; <a href="https://www.statology.org/" rel="noopener">Statology</a>, and contributing editor at <a href="https://machinelearningmastery.com/" rel="noopener">Machine Learning Mastery</a>, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, language models, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge in the data science community. Matthew has been coding since he was 6 years old.<br>Get the <a href="/news/subscribe.html"><strong>FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary'</strong></a> along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.<br>By subscribing you accept KDnuggets <a style="font-size:10px" target="_blank" href="https://www.kdnuggets.com/news/privacy-policy.html">Privacy Policy</a><br><br><br>Get the <a href="/news/subscribe.html"><strong>FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary'</strong></a> along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.<br>By subscribing you accept KDnuggets <a style="font-size:10px" target="_blank" href="https://www.kdnuggets.com/news/privacy-policy.html">Privacy Policy</a><br>Get the <a href="/news/subscribe.html"><strong>FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary'</strong></a> along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.<br>By subscribing you accept KDnuggets <a style="font-size:10px" target="_blank" href="https://www.kdnuggets.com/news/privacy-policy.html">Privacy Policy</a><br>Get the <a href="/news/subscribe.html"><strong>FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary'</strong></a> along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.<br>By subscribing you accept KDnuggets <a style="font-size:10px" target="_blank" href="https://www.kdnuggets.com/news/privacy-policy.html">Privacy Policy</a><br><a href="javascript:Boxzilla.dismiss(82996);">No, thanks!</a><br><br><a href="https://news.google.com/rss/articles/CBMiggFBVV95cUxNbng3MXRLZlZEOXJKMXRiWEU4bWxab0EyMmxMZVdTMWRHaUI4MlVfa2NWVGU5eWZ0Nm9KYjR4eDM4T3lPTFljMWY1ekZ1V3ltVzNEWGFaRE1GSEpVbW1IR0xzTWluUkpKNjZsTXMzOWJSaHZtdlFPVUU0dzdWeWt6NHZ3?oc=5">source</a>

Cryptocurrencies Price Prediction: PI, Bitcoin & CEX – European Wrap 13 October  FXStreet
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ENDRA Life Sciences raises $4.9 million to launch cryptocurrency treasury  Investing.com
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Steak ‘n Shake, a popular fast food chain, has swiftly abandoned plans to potentially accept Ether as a payment option after significant pushback from the Bitcoin community.
The controversy began when Steak ‘n Shake polled its 468,800 followers on X, asking if it should start accepting Ether.
The poll, which saw 53% of nearly 49,000 respondents vote in favor, was suspended within four hours. The company posted:
“Poll suspended. Our allegiance is with Bitcoiners. You have spoken.”
Steak ‘n Shake began accepting Bitcoin at all legally permitted locations—including the US, France, Monaco, and Spain—starting May 16.
The company credited Bitcoin users for a 15% year-over-year rise in same-store sales in the third quarter, underlining the support from the Bitcoin community.
Many prominent Bitcoiners criticized the company for considering any expansion beyond Bitcoin payments. Adam Simecka, developer of the Bitcoin wallet Manna, stated:
“I promise, if you accept ETH, I will never eat at your restaurant again.”
Others, such as Bitcoin developer Carman, argued that the poll damaged the brand’s reputation.
While most criticism came from Bitcoin supporters, Ethereum co-founder Vitalik Buterin praised the company’s tribal approach, saying:
“We need the stubborn ones who believe in their cause and their tribe and see their work as a labor of love to it.”
Steak ‘n Shake is also launching a “Bitcoin Steakburger” on October 16 to celebrate its Bitcoin adoption.
Bitbo News brings you Bitcoin news that matters.
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Key Facts (as of Oct 13, 2025):
XRP opened October 2025 at roughly $3.0 and climbed earlier in the month (the “Uptober” rally) as macro investors piled into crypto ^[40]. On Oct 6, Bitcoin set a new record near $125K ^[41], and XRP was trading around $3.3–3.6. However, a surprise policy shock – the announcement of 100% tariffs on Chinese goods – ignited a sharp sell-off on Oct 10. Within minutes, XRP plunged about 42% to ~$1.64 ^{[42] [43]}, one of the deepest flash crashes of 2025. This wipeout coincided with a crypto-wide $19 billion liquidation ^[44], triggered partly by heavy futures liquidations.
Remarkably, the next two days saw a strong rebound. By Oct 11–12, XRP had clawed back to roughly $2.4–$2.6 ^{[45] [46]}. CoinDesk reports that aggressive institutional buying pushed XRP from $2.37 to $2.58 on Oct 12 ^[47] – a $30 billion market-cap recovery. Trading volume surged (nearly triple its 30-day average ^[48]) as dip-buyers stepped in. By Oct 13, XRP traded around $2.58 (+8.5% over 24h) ^[49], forming a clear ascending channel (with support at ~$2.37 and resistance near $2.60 ^[50]). Analysts note that above ~$2.57–$2.59 could open $2.70–$2.75 next, with a stretch toward $3.00+ if momentum holds ^{[51] [52]}.
XRP’s recent moves must be viewed in the context of the broader crypto market. Bitcoin hit an all-time high (~$125,800) on Oct 6 ^[75], driven by institutional demand and a crypto-friendly U.S. administration. Analysts noted that Bitcoin has risen over +33% year-to-date ^[76]. Quotes like Anthony Pompliano’s “Bitcoin is the hurdle rate” (implying many will compare altcoin gains to Bitcoin’s rally) underline the market’s excitement ^[77]. Ethereum also set new highs in early October, briefly trading above $4,200 before the crash. After the sell-off, ETH has shown resilience: it surged ~11–12% to ~$4,160 by Oct 13 ^{[78] [79]}.
Compared to its bigger siblings, XRP’s performance is mixed. Year-to-date (2025) Bitcoin is up ~30% and reached records ^[80], while XRP is up ~35–40% (also near multi-year highs not seen since 2018 ^[81]). Bitcoin alone now accounts for over 50% of total crypto market cap, whereas XRP’s ~3–4% share makes it one of the largest “altcoins” ^[82]. Notably, XRP underperformed in the early October rally: when Bitcoin/ETH were spiking, XRP rose only modestly. For example, during “Uptober” one report notes XRP/USD gained ~+5% while Bitcoin soared +10% to a new high ^[83]. Moreover, on Oct 10 XRP fell harder than BTC (down ~42% vs. BTC’s 10%) ^[84]. Analysts observe that without its own ETF, XRP currently lags the momentum of Bitcoin/Ethereum.
Another context: crypto markets were risk-off on Oct 13. Traditional markets dropped (Dow –900, Nasdaq –820 that day ^[85]), and investors were watching trade war headlines and Fed signals. A CoinDesk report notes that even as equities weakened, XRP’s rebound was fueled by institutional inflows. In short, XRP’s trends are being driven both by crypto-specific factors (legal/regulatory news, whale moves) and by macro factors (trade tensions, funding conditions) that are also influencing Bitcoin and Ethereum.
Analysts and industry figures are weighing in on XRP’s prospects:
Overall, experts agree that XRP’s next moves will be driven by catalysts: ETF approvals, macro factors (risk appetite), and Ripple’s execution of real-world use cases. The bulls see a potential big swing upward, while the bears remind us that intense selling could still dominate.
Short-term (Days–Weeks): In the next few weeks, XRP’s path hinges on SEC rulings and technical signals ^[115]. If a spot XRP ETF (even one) is approved, analysts warn XRP could “quickly run toward the mid-$4s or even $5” ^[116] as money flows in. Positive crypto-wide momentum (Bitcoin/Ethereum rising) would add fuel. However, if XRP fails to break key resistance (around $3.30), it may remain range-bound. In that case some traders expect it to hover in the $2.50–$3.00 range, and profit-taking could even push it down toward ~$2.5–$2.7 ^[117]. (Conversely, holding above ~$2.70–$2.80 would be an encouraging sign.)
Medium-term (By Year-End): By Q4 2025, the picture could diverge. If ETF approvals come through and macro conditions stay friendly, many forecasts see XRP in the $5–$6+ zone by year-end ^[118]. Standard Chartered and others hold targets near $5 with the assumption of broad institutional adoption ^[119]. Crypto.com’s scenario ($4–$8) would also imply year-end prices near that level ^[120]. However, if regulatory uncertainty or a wider market pullback emerges, XRP could consolidate in the $2.5–$3.5 band ^[121]. Traders are watching the $3.00 area closely: a convincing close above it would bolster the bulls, while dropping below $2.50 would favor the bears.
Long-term (2026+): Over the next 2–5 years, XRP’s fate likely depends on fundamentals. Optimists argue that as Ripple’s cross-border network and financial products expand, demand could drive XRP back into double digits. For instance, Standard Chartered envisions XRP around $12 by 2028 under a sustained bull market ^[122]. In a “perfect storm” (multiple ETFs, stablecoin issuance, global adoption), models show XRP possibly reaching $10–$20+ by 2030 ^[123]. This would align XRP with its past peak valuations relative to Bitcoin. Conversely, if macro or regulatory headwinds return (e.g. higher interest rates or new laws), XRP might languish or even fall to the mid-$2s periodically ^[124]. In short, many experts say the next year will set the stage: legal clarity and adoption may boost XRP, but without those, it may just tread water until new catalysts emerge.
Expert Forecasts Summary: To summarize expert targets: best-case bulls foresee XRP in the $4–6 range by late 2025 (with some ultra-bulls eyeing $10+) ^{[125] [126]}. Conservative forecasts (and some crypto lawyers) put XRP around $3–4 by year-end, noting it needs an ETF to break out ^{[127] [128]}. Bears caution that XRP could dip below $2.50 again if whales sell and broad sentiment sours ^{[129] [130]}. As one trader quipped, “until there’s proof of a breakout, talk is cheap” ^[131].
In conclusion, XRP’s outlook in late 2025 is a tale of two scenarios: a bullish ETF-driven surge versus a stalled or corrective move if catalysts fail. Investors will be watching SEC announcements, Whale and fund flows, and mainstream crypto trends. If the stars align (ETF approvals, stable macro), XRP could challenge its recent highs above $3 and aim for $4–5. If not, it may remain stuck in the mid-$2s. Either way, analysts agree that with legal overhang gone, XRP is no longer an “all-or-nothing” bet – it now behaves more like other major cryptos, susceptible to the same market forces that drive Bitcoin and Ethereum.
Sources: Recent price and market data from CoinMarketCap and trading platforms ^{[132] [133]}. Price movements and volumes are reported by CoinDesk and BraveNewCoin ^{[134] [135]}. Regulatory and legal updates from Reuters ^[136] and TS2.tech ^[137]. Expert opinions and forecasts from Standard Chartered, Crypto.com, Coindesk, Bloomberg, and crypto analysts ^{[138] [139] [140]}. (Links embedded above.)
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CEO of TS2 Space and founder of TS2.tech. Expert in satellites, telecommunications, and emerging technologies, covering trends in space, AI, and connectivity.
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