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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='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 /> <br> <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> <br> <br /> Here are five high quality tips for using NotebookLM to make your day as a data scientist a little easier.<br> <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 — including PDFs, transcripts, and blog posts — 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> <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> <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> <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> <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> <br> <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 /> <br /> <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> & <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>

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.)
1. ts2.tech, 2. www.coindesk.com, 3. ts2.tech, 4. www.reuters.com, 5. ts2.tech, 6. www.coindesk.com, 7. www.coindesk.com, 8. www.coindesk.com, 9. www.reuters.com, 10. www.financemagnates.com, 11. www.coindesk.com, 12. www.coindesk.com, 13. www.financemagnates.com, 14. ts2.tech, 15. ts2.tech, 16. ts2.tech, 17. ts2.tech, 18. ts2.tech, 19. ts2.tech, 20. ts2.tech, 21. ts2.tech, 22. ts2.tech, 23. bravenewcoin.com, 24. ts2.tech, 25. ts2.tech, 26. ts2.tech, 27. ts2.tech, 28. ts2.tech, 29. ts2.tech, 30. ts2.tech, 31. ts2.tech, 32. ts2.tech, 33. ts2.tech, 34. ts2.tech, 35. ts2.tech, 36. ts2.tech, 37. ts2.tech, 38. ts2.tech, 39. ts2.tech, 40. ts2.tech, 41. www.reuters.com, 42. ts2.tech, 43. ts2.tech, 44. www.coindesk.com, 45. www.coindesk.com, 46. www.financemagnates.com, 47. www.coindesk.com, 48. bravenewcoin.com, 49. www.coindesk.com, 50. www.coindesk.com, 51. www.coindesk.com, 52. www.coindesk.com, 53. ts2.tech, 54. ts2.tech, 55. ts2.tech, 56. ts2.tech, 57. ts2.tech, 58. ts2.tech, 59. ts2.tech, 60. ts2.tech, 61. ts2.tech, 62. ts2.tech, 63. ts2.tech, 64. ts2.tech, 65. ts2.tech, 66. ts2.tech, 67. ts2.tech, 68. ts2.tech, 69. ts2.tech, 70. www.coindesk.com, 71. ts2.tech, 72. www.financemagnates.com, 73. www.financemagnates.com, 74. www.financemagnates.com, 75. www.reuters.com, 76. www.reuters.com, 77. www.reuters.com, 78. www.coindesk.com, 79. www.financemagnates.com, 80. ts2.tech, 81. ts2.tech, 82. ts2.tech, 83. ts2.tech, 84. ts2.tech, 85. www.coindesk.com, 86. ts2.tech, 87. www.reuters.com, 88. ts2.tech, 89. ts2.tech, 90. ts2.tech, 91. www.reuters.com, 92. ts2.tech, 93. ts2.tech, 94. ts2.tech, 95. ts2.tech, 96. bravenewcoin.com, 97. bravenewcoin.com, 98. bravenewcoin.com, 99. ts2.tech, 100. ts2.tech, 101. ts2.tech, 102. ts2.tech, 103. ts2.tech, 104. ts2.tech, 105. ts2.tech, 106. bravenewcoin.com, 107. bravenewcoin.com, 108. ts2.tech, 109. ts2.tech, 110. ts2.tech, 111. ts2.tech, 112. www.reuters.com, 113. ts2.tech, 114. ts2.tech, 115. ts2.tech, 116. ts2.tech, 117. ts2.tech, 118. ts2.tech, 119. ts2.tech, 120. bravenewcoin.com, 121. ts2.tech, 122. ts2.tech, 123. ts2.tech, 124. ts2.tech, 125. ts2.tech, 126. bravenewcoin.com, 127. ts2.tech, 128. ts2.tech, 129. ts2.tech, 130. ts2.tech, 131. ts2.tech, 132. ts2.tech, 133. www.reuters.com, 134. www.coindesk.com, 135. bravenewcoin.com, 136. www.reuters.com, 137. ts2.tech, 138. ts2.tech, 139. bravenewcoin.com, 140. ts2.tech
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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What if I told you that a single announcement could ignite a financial firestorm, wiping out almost $600 billion in market value within hours? On October 10, the cryptocurrency world shook as President Trump declared 100% tariffs on Chinese imports, sending traders into a frenzy. This turbulent moment raised eyebrows and questions: can Bitcoin rebound to $130,000? Will Ethereum eventually reach $4,800? And, most importantly, what does this upheaval spell for everyday investors hoping to find their footing in this ever-volatile arena?
October 10 marked a dark day in crypto history. The market plummeted as traders scrambled, lured by fear and panic. Bitcoin nosedived from $122,000 to $105,000; Ethereum too faced a brutal reckoning, exposing the frailty of centralized exchanges. Over 1.6 million traders found themselves liquidated as cascading sell-offs unfolded, making this one of the most savage days ever recorded in the realm of digital assets. Analysts pointed fingers at the excessive leverage prevalent in central exchanges, where murky liquidation protocols exacerbated the chaos, creating a snowball effect of panic selling.
The capricious nature of the cryptocurrency market presents both peril and promise. While the potential for significant gains is alluring, the risks, particularly when amplified through leverage, are daunting. Noteworthy voices, like that of Marcin Kazmierczak, have spotlighted the resilience displayed by decentralized finance (DeFi) protocols. By employing reliable price oracles, these DeFi systems managed to resist the wild price swings that plagued their centralized competitors. This episode starkly illuminated the chinks in the armor of perpetual contracts tied to centralized platforms, emphasizing an urgent need for better risk management tools. As we look ahead, traders are encouraged to adopt more grounded strategies, moving away from the high-stakes betting mentality that has dominated the space.
Amidst the rubble left by the crash, optimism flickers. Analysts are not throwing in the towel just yet. Ryan Lee, a respected market analyst, sees Bitcoin regaining its lost ground to hit $130,000 and envisions Ethereum climbing to $4,800. This optimism isn’t unfounded; it hinges on anticipated institutional investments and a growing acceptance of exchange-traded funds (ETFs) linked to cryptocurrencies. Historical patterns lend credence to his predictions, harkening back to the aftermath of the COVID-19 crash in March 2020, when Bitcoin surged from $3,800 to $69,000. As institutional players increasingly acknowledge cryptocurrency’s worth, the landscape for recovery seems ripe for reinvention.
The October collapse painted a vivid picture of how interconnected global events are with the cryptocurrency market. The tariff announcement acted as a catalyst for a broader sell-off, compelling traders to rethink and recalibrate amid the turbulent waters. As the lines blur between international trade policies and cryptocurrency stability, the necessity for diligent risk management cannot be overstated. Traders are encouraged to integrate low-risk DeFi products into their trading strategies as a buffer against future shocks.
The current climate heralds a significant shift towards low-risk strategies as investors redirect their attention to cryptocurrencies and DeFi offerings that provide steady yields of 4-10%. This shift not only offers a welcome contrast to high-stakes speculation but also aligns with the push for compliance and sophisticated financial oversight in the developing Web3 ecosystem. The focus is increasingly on sustainable practices that temper volatility while still capitalizing on the burgeoning market.
The fallout from the October 10 disaster has left jagged scars on the cryptocurrency landscape, yet within this turbulence lies the potential for renewed strategies and growth. With institutional interest persisting, the tide may indeed turn favorably for Bitcoin and Ethereum. As traders sift through the debris, those who adopt shrewd risk management strategies and embrace low-risk investment options may very well find themselves leading the way in this next chapter. In a tumultuous domain fraught with uncertainty, seizing the moment could yield profound rewards for the astute and the brave, marking the beginning of a new era in cryptocurrency investing.
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The October 10 crypto crash wiped $600 billion from the market, igniting concerns about Bitcoin and Ethereum's future amidst rising institutional interest and DeFi advantages.
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Jakarta, Pintu News – The price of 1 Pi Network (PI) in Indonesia today, October 13, 2025, is in the range of Rp3,500-Rp3,600 per coin. Despite the increase, the project is still facing criticism and accusations of fraud, especially regarding transparency and market access difficulties that make many users doubt the clarity of its value and future.
The Pi Network (PI) price chart on CoinMarketCap shows a fairly strong upward trend in the last 24 hours. The price of PI increased by 5.67% and is now at the level of $0.2134, indicating that bullish momentum is starting to form.
From the candlestick chart, it can be seen that after correcting to around $0.202, the price of PI reversed direction around 9pm with a significant surge in trading volume. The increase then continued steadily until it reached the highest area around $0.213, which is currently the nearest resistance point.
In terms of market data, Pi Network’s capitalization reached $1.76 billion, up about 6.1%, while its 24-hour trading volume was recorded at $42.32 million, down 14.12%. Despite the drop in volume, the increase in market cap shows that selling pressure is starting to ease and buying interest is still strong.
The outstanding supply stands at 8.26 billion PIs out of a maximum total of 100 billion PIs, with an FDV (Fully Diluted Valuation) of $21.31 billion, illustrating the project’s full potential valuation if all tokens were in circulation.
$PI WAS THE BIGGEST SCAM IN CRYPTO HISTORY pic.twitter.com/pOvsaU1ZZ2
Criticism of Pi Network grew louder when an anonymous X account known as Whale Guru called it the “biggest scam in crypto history”. The attached chart shows the drop in the coin’s value from almost $3 in February to $0.20.
Ben Zhou, CEO of Bybit, has also stated that his exchange will not list Pi Coin, citing warnings from the Chinese police that this is a scam targeting the elderly.
Also read: Gold Jewelry Price Today, Monday October 13, 2025
Since the launch of its mainnet in February, Pi Network has struggled as no major crypto exchange has listed it, making it highly illiquid. In addition to allegations of fraud, exchanges are likely refusing to list it due to its high level of centralization and lack of transparency. On-chain data shows that the obscure and unaudited Pi Foundation has over 90 billion Pi Coin in hundreds of wallets.
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Bitcoin investors were celebrating last week as the cryptocurrency surged to a new record high of just over $126,000. But then came the weekend wipeout.
While some have been talking about cryptos as a safe haven akin to gold, the reaction to President Trump’s threat to impose 100% tariffs on Chinese imports was more in line with the volatility of equities during a trigger event.
The question of risk exposure among crypto investors was recently highlighted in new research which warned that younger and meme-focused investors are more likely to jump into investments without due diligence.
Bitcoin dropped from $123K on Friday to $107K on Saturday and along with ten other cryptos, the overall market lost approximately $500 billion, one of the biggest single-day slumps ever, and leveraged traders were forced to liquidate positions.
However, one trader was accused of insider trading as investors revealed the shorting of Bitcoin just 30 minutes before the crash via an account that had only just been opened. The trader is said to have netted an $88 million profit. The allegations have not been substantiated.
Nic Puckrin, crypto analyst and co-founder of The Coin Bureau, told InvestmentNews that investors should not be complacent about cryptos.
“The bloodbath we saw in markets over the weekend is a brutal reminder that, as the crypto market grows and matures, the risks are amplified,” he says. “The arrival of spot crypto ETFs and institutional interest has lulled investors into a false sense of security, but it remains the only market that trades after hours. In this environment, thin liquidity, overleverage, and the involvement of big players make for a toxic cocktail.”
Puckrin, whose site provides educational materials for crypto investors, says that the biggest shock over the weekend was that traders were forced out of even profitable positions due to auto-deleveraging on exchanges, a risk management mechanism that most will have not even heard about.
“It’s a blunt instrument that certainly deserves some scrutiny as exchanges conduct reviews of this mass liquidation event,” he explains. “At the very least, traders must be more aware of this risk before committing to leveraged or long/short trades.”
But while the weekend’s flash crash will have come as a shock to investors, Puckrin says there is a silver lining to this dark crypto cloud.
“Ironically, now that the dust has settled, many blue-chip tokens have seen a strong rebound – including Ethereum, which is looking particularly strong back above $4,000,” he notes. “As such, many spot investors find themselves in a similar position to where they were before the flash crash. This is certainly an argument against excessive leverage in a market with fluctuating liquidity in such an uncertain geopolitical climate.”
Puckrin adds that the crash has cleaned out excessive leverage and reset market risk for now, but warns that “Bitcoin now faces another uphill battle to break past key resistance levels that will allow it to reach a meaningful new all-time high this year.”
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