Today's Cryptocurrency Prices by Market Caps
The global cryptocurrency market cap today i $2.55T
Market Cap
$2.55T
24h Trading Volume
$77.34B
BTC Dominance
56.93%
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Latest Crypto News
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Pi Coin Surges After Step 3 Upgrade News — 33% Weekly Rally but Still Down 83%
Pi Coin (PI) has staged a surprising short-term rebound, outperforming many blue-chip tokens as it holds a spot among the top 100 projects by market capitalization. According to CoinGecko, PI has jumped 33.1% over the past week, climbed 39.7% on the 14-day chart, and surged 61.6% in the last month. What triggered the rally The most recent uptick followed official updates from the Pi Network team. On its X account the project said it will roll out “Step 3” of protocol upgrades on March 12, 2026, and urged operators to complete the upgrade to remain connected to the Mainnet. The post read in part: “Protocol upgrades in progress (Step 3 – Deadline: March 12): The Pi Mainnet blockchain protocol continues to undergo a series of upgrades. All Mainnet Nodes are required to complete this step before the deadline to remain connected to the network.” That timetable appears to have boosted investor confidence and buying interest. The longer-term picture — still deeply underwater Despite the recent gains, PI remains far from its highs. The token is still down roughly 83.3% since March 2025 and has fallen more than 92% from its all-time high of $2.99 reached in February 2025. Given the broader bearish backdrop — reduced risk appetite among market participants, ongoing macroeconomic uncertainty, geopolitical tensions, and tighter liquidity since late 2025 — the rally may be vulnerable to reversal. Risk and analyst outlook Market participants have adopted a risk-off stance, and some traders may use the rally to take profits or redeploy capital into safer assets. Analysts at CoinCodex are cautious on PI, forecasting a steep pullback to $0.1608 by March 20 — a roughly 30.36% drop from current levels, per their model. Bottom line Pi’s recent spike appears tied to protocol upgrade news and node upgrade deadlines, but the token’s deep drawdown from last year’s highs and the prevailing risk-off market environment make the move fragile. Traders should be prepared for volatility: the update could sustain momentum, but larger market forces may push PI back down. Read more AI-generated news on: undefined/news
Could a 10-Year DCA Turn $39K into $144K If Alphabet Hits $2,590 by 2036?
When a high-school teacher told me, “The days are long but the years are short,” it didn’t register — until the years flew by and I found myself thinking about time the way you think about money: long horizons matter. That mentality is exactly what some investors are applying to Google parent Alphabet (NASDAQ: GOOGL) — treating the next decade as the real opportunity. Why Alphabet? Alphabet remains a dominant force in search and digital advertising, with growing businesses in cloud computing, YouTube, and AI research. For long-term investors who believe those trends continue, a decade-long plan using dollar-cost averaging (DCA) is a common strategy to smooth out volatility and accumulate shares over time. A simple 10-year plan (example) - Entry price referenced: roughly $301.46 per share (recent price). - Initial buy: $3,000 at ~$300 per share = about 10 shares. - Monthly DCA: $300 per month for 10 years (120 months) = $36,000. - Total invested over 10 years: $39,000. Where this could go Traders Union projects a 2036 price range for GOOGL of roughly $1,986 (conservative) to $2,590 (bull case). If Alphabet reached the top of that range ($2,590) in 2036, a $39,000 total investment under this plan could be worth around $144,350. That outcome implies an average annual growth rate near 24% from today’s price — a strong return that would represent roughly 270% total growth over the decade. Why DCA? - Smooths the purchase price by buying on highs and lows. - Makes long-term investing affordable and habitual (a $300 monthly commitment). - Can be scaled: increasing the DCA amount each year (for example, by 10%) can materially boost eventual returns. Risks and reality check - Forecasts like the Traders Union targets are speculative — they’re one possible scenario, not a guarantee. - Achieving ~24% annualized returns for a decade is aggressive and requires sustained company and market outperformance. - Individual results depend on exact timing of purchases, share accumulation, taxes, fees, and broader market conditions. Bottom line Treating investing like a decade-long journey — not a sprint — can change outcomes. If you believe Alphabet’s core businesses and AI/cloud growth will keep compounding, a disciplined DCA plan could be a practical way to ride that trend. But remember: these are projections, not promises. Evaluate your risk tolerance, consider diversification, and consult a financial advisor if needed. Bookmark this idea, revisit your plan regularly, and let time (and disciplined investing) do the heavy lifting. Read more AI-generated news on: undefined/news
68M SHIB Burn Sparks Short-Term Optimism as Price Holds Near $0.00000593
Headline: Shiba Inu sparks short-term optimism after 68M-token burn as price holds near $0.00000593 Shiba Inu (SHIB) briefly reversed some downward pressure this week after a deflationary burn removed nearly 68 million tokens from circulation. The move, tracked by Shibburn, coincided with a small price pickup — SHIB was trading around $0.000005927 at press time — but the token remains near one of its lowest historical thresholds. What happened - Shibburn reports that roughly 68 million SHIB were burned, activating the project’s deflationary mechanism and temporarily easing selling pressure. - Despite the burn, Shiba Inu still faces a massive circulating supply of 585,474,878,489,555 SHIB, meaning single burns have limited immediate impact on overall supply dynamics. Why it matters Token burns are a recurring tool in the SHIB ecosystem designed to reduce supply and create scarcity over time. Beyond the direct economics, large-scale burns also serve a symbolic role—reassuring holders and signaling ongoing activity in the project. Community sentiment reflects that purpose: users point to shrinking exchange supply, whale activity, and renewed development on Shibarium as reasons to stay bullish on the token’s long-term prospects. Long-term forecasts (models differ) - CoinCodex’s model projects a long-term uptick, putting SHIB at $0.00003212 by 2050 (a projected rise of roughly +441% from current levels), and offering a set of year-end estimates for 2026, 2030 and 2040. - Flitpay’s 2050 outlook is much more aggressive, forecasting a maximum of $0.089, a minimum of $0.0085 and an average of $0.047 for that year. Bottom line The recent burn provides a short-lived boost and morale lift, but SHIB’s huge circulating supply and broader market conditions mean that meaningful price moves will likely require sustained demand, larger cumulative burns, or substantive ecosystem developments. As always, long-term price projections vary widely between models; investors should weigh model assumptions and market risks before drawing conclusions. Read more AI-generated news on: undefined/news
46,323 XRP (~$65K) Gets You Into the Top 1% — New Ledger Data
How much XRP do you need to be “rich” in the ledger-era sense? New on-chain data makes the answer concrete: about 46,323 XRP gets a wallet into the top 1% of holders. Bullrunners posted updated ledger figures on X (using KuCoin analytics) showing roughly 7.65 million active XRP wallets as of March 2026. That on-chain snapshot puts the top-1% cutoff at 46,323 XRP — a real, data-backed answer to the oft-asked question “How much XRP should I own?” Key takeaways from the updated XRP rich list - Top 1%: 46,323 XRP (about $65,000 at $1.40 per XRP). Only ~76,000 wallets meet this level. - Top 5%: roughly 7,745–8,000 XRP. - Top 10%: about 2,307–2,486 XRP — at $1.40 that’s ~$3,123; at $10 per XRP it would be ~ $22,310. - Elite tiers: the top 0.01% is extremely concentrated — just 756 wallets each holding more than 3.85 million XRP. The 0.1% tier adds another 7,554 accounts. - Dust accounts dominate: of ~7.65M wallets, 3,707,244 hold 0–20 XRP and 2,549,199 hold 20–500 XRP. Together these small balances make up the bulk of the network. KKapon ran the tier breakdown from the Bullrunners data, and the distribution paints a familiar picture: broad retail participation on-chain, with most wallets holding only a few hundred XRP or less, and a tiny fraction owning outsized stakes. Important caveats - The ledger reflects on-chain retail holdings, not the full market. Institutional exposure (custodians, funds, OTC desks, and derivatives) often sits off personal on-chain addresses, so the real concentration among economic owners may be different. - Wallet growth was strong — Bullrunners noted a ~30% increase in wallet counts since 2024 — yet the thresholds for elite tiers barely shifted. More participants, same bar for elite status. Why it matters For retail investors asking “How much XRP should I own?” the rich list puts the question in context: the top 10% is an achievable target for many holders, while true elite status remains concentrated. The on-chain numbers give a clearer snapshot of retail distribution, but remember they don’t capture institutional positions held through custodians or off-ledger products. Sources: Bullrunners’ X post (KuCoin analytics) and KKapon’s ledger analysis. Read more AI-generated news on: undefined/news
Hormuz Blockade Sparks Oil Shock — Crypto Braces for Volatility as Miners Feel the Heat
A sharp supply shock out of the Middle East is rattling energy markets — and it could have ripple effects across crypto markets as well. What happened Iran has sealed off the Strait of Hormuz for a week, allowing only about 5% of normal traffic to pass, cutting a key artery for global oil shipments. The market reacted violently: crude spiked from roughly $67 to $120 per barrel in just three days, before settling back to about $95 on Thursday. Tehran’s message was stark. “Not a single liter of oil” will transit the strait, officials said, framing the move as retaliation against Israel and the U.S. Ebrahim Zolfaqari, spokesperson for the Khatam al-Anbiya military command headquarters, warned that continued blockade and escalation could push oil as high as $200 per barrel. Regional and global consequences Asian markets are bearing the brunt of the disruption given their heavy dependence on shipments through Hormuz. Analysts warn that a sustained spike toward $200 would deepen inflationary pressures worldwide — pushing up transportation costs, consumer prices and input costs for businesses. That, in turn, could slow economic growth, force corporate revenue cuts and trigger job losses. Financial markets would likely see a broader rotation out of risk assets as institutions seek shelter. Historically, such stress pushes money into traditional safe havens like gold and other commodities. Why crypto-watchers should care - Flight to safety: If investors retreat from equities and risk assets, some capital could flow into “digital gold” (Bitcoin) alongside bullion, potentially supporting prices — but correlations can shift quickly in crises. - Miner economics: Higher oil and fuel costs raise electricity and logistic bills, squeezing mining margins and potentially forcing smaller miners offline, which can affect hash rate dynamics. - Market liquidity and volatility: Sharp macro moves tend to spike volatility across spot and derivatives markets, increasing liquidations and widening spreads on exchanges. Stablecoins and DeFi lending pools could see stress if on-chain activity changes abruptly. - Cross-asset hedging: Traders may increase use of BTC, stablecoins or gold-backed tokens for hedging and quick settlements, altering flows on centralized and decentralized venues. Bottom line The Strait of Hormuz blockade is a real-time catalyst for higher energy prices and macro instability. If Tehran’s warning of $200 oil gains traction, the fallout would be broad — from higher everyday costs to a probable scramble for safe havens. For crypto investors and operators, that means watching liquidity, miner margins, and volatility closely: risks and opportunities could arrive fast. Policymakers and markets alike now face pressure to find diplomatic and market-based solutions before the shock deepens. Read more AI-generated news on: undefined/news
AI Agents Quietly Dominate Prediction Markets, Squeezing Retail Traders
AI agents are quietly reshaping prediction-market trading — and retail traders are already feeling the pressure. Valory AG, the team behind the crypto-AI infrastructure Olas (formerly Autonolas), says autonomous agents are becoming a powerful force in forecasting and trading on prediction markets. David Minarsch, Valory’s CEO and co-founder, describes Olas as plumbing for an emerging “agent economy”: a decentralized ecosystem where autonomous software agents run services on blockchains, interact with smart contracts, cooperate, and earn crypto rewards for users. A live test of that vision arrived in February 2026 with Polystrat, an autonomous agent deployed on Polymarket. Polystrat trades 24/7 on behalf of self-custodying users, executing strategies continuously so human owners aren’t sidelined by sleep, distraction or inconsistent decision-making. “In a nutshell, Polystrat is an autonomous AI agent that trades on Polymarket 24/7 on behalf of its human user,” Minarsch says. Why this matters Prediction markets — platforms that let traders buy and sell contracts tied to real-world outcomes — have exploded from niche forecasting tools into a sizable corner of fintech. The sector’s breakout came during the 2024 U.S. presidential election, and by 2025 total notional trading across major platforms topped $44 billion, with monthly peaks near $13 billion. Trading is concentrated: Kalshi (a U.S.-regulated exchange overseen by the CFTC) and crypto-native Polymarket account for roughly 85–97% of activity. Against that backdrop, a simple insight has driven the shift toward automation: the predictive power of modern AI hasn’t been fully applied to markets. Valory began building a “prediction market economy” on Olas in 2023 to change that — connecting agents to data pipelines and prediction tools to forecast outcomes and trade them. Machines, not emotions Minarsch notes off-the-shelf language models prompted on markets typically perform no better than a coin flip. But when state-of-the-art models are embedded in custom workflows — what Valory calls prediction tools — they can achieve substantially higher accuracy. The firm claims these workflows have historically shown predictive accuracy up to 70% or more. Market data point to a machine advantage: only about 7–13% of human traders reportedly generate positive returns on prediction markets, while early signs of machine participation are rising fast. Analytics platform LayerHub finds more than 30% of wallets on Polymarket are already using AI agents. The results from Polystrat are eye-catching. Within roughly a month of launching, it executed over 4,200 trades on Polymarket, recording individual-trade returns as high as 376%. According to Valory, more than 37% of Polystrat agents posted positive P&L — “less than half that number” of human participants reportedly post gains. Leveling the playing field — and expanding markets Olas aims to democratize access to these agents so retail users aren’t outcompeted by institutional automation. Users can configure agents for strategy preferences, data sources and risk tolerance. Minarsch highlights another opportunity: the long tail of niche markets that humans often ignore. “You just point the agent at the problem and it does the work,” he says, which could unlock forecasting on localized or specialized questions and turn prediction markets into richer data sources for businesses and policymakers. Agents could also be augmented with proprietary datasets, allowing users to encode their own knowledge bases into trading strategies — potentially creating stronger, more principled performance than humans can sustain manually. Ethics, regulation and detection The rise of AI-driven markets raises thorny questions. Critics warn that markets on sensitive topics — wars, deaths or disasters — could incentivize manipulation or moral hazards. Minarsch concedes regulation will be needed to define what markets should exist, but he also argues agents could help policing efforts: automated systems can spot suspicious patterns and flag problematic markets. A user-owned future For Valory, the larger mission is political as much as technical: to ensure everyday users keep a stake in an automated digital economy. “Olas aims to create a world where human users can be empowered through their AI agents rather than disenfranchised by them,” Minarsch says. The project emphasizes user-owned agents so people can deploy autonomous software that generates value on their behalf — with prediction markets serving as an early proving ground. If that model succeeds, autonomous agents may become routine tools for forecasting, trading and decision-support across industries — and the next battleground for who controls value in a machine-driven economy. Read more AI-generated news on: undefined/news