Actualités financières en direct

The Reserve Bank's Monetary Policy Committee began its three-day meeting on Monday and is likely to raise rates by 25 basis points, aligning with the central banks' hawkish stance amid escalating conflicts in West …

The Reserve Bank's Monetary Policy Committee began its three-day meeting on Monday and is likely to raise rates by 25 basis points, aligning with the central banks' hawkish stance amid escalating conflicts in West Asia that pose risks for domestic inflation. An interest rate hike by the RBI in its upcoming monetary policy would mark a stance reversal, following rate cuts in 2025 and a prolonged pause thereafter, according to a PTI poll of 16 economists and bankers. "Insights, assessments, and the way forward-set to unfold soon," the Reserve Bank said in a social media post while announcing that the monetary policy statement will be announced on October 7 at 10 am. The last repo rate hike was in February 2023, when the RBI raised the rate by 0.25 per cent to 6.50 per cent. It kept the rate unchanged through 2023-24 before beginning its rate-cut cycle in 2025. Currently, the RBI's policy repo rate stands at 5.25 per cent. A majority of participants in the PTI poll expect a rate hike with a hawkish tone at the upcoming policy review on Wednesday. The opinion seems divided on whether there will be a shift in stance. Meanwhile, Madan Sabnavis, Chief Economist, Bank of Baroda, was of the view that the Reserve Bank will continue with the status quo on the short-term lending rate (repo) on Wednesday. "While we do believe that the next interest rate cycle will be of 50-75 bps in the upward direction, we think there will be a pause this time in October," he said. Sabnavis further said that a pause can help to moderate bond yields too, as the market is expecting one now. "Waiting till December will be prudent when we actually know how the kharif crop has fared and the CPI inflation rate for September and October," he said, adding that the RBI could marginally raise its forecasts of GDP and inflation. Goldman Sachs report said the August MPC minutes were materially more hawkish than the policy statement. Members acknowledged that food and fuel-driven inflation could generate second-round effects and indicated that broader, and more persistent price pressures would warrant policy action. "We therefore bring forward our RBI forecast to 25 bps repo rate hikes in October and December 2026. The MPC may also shift its stance from 'neutral' to 'calibrated tightening' or 'withdrawal of accommodation'," it said. Dipti Deshpande, principal economist at Crisil, said that since the last policy, inflationary pressures have mounted further mainly due to the re-escalation of the West Asia conflict and the pressure on energy and commodity prices. If these pressures persist, further rate hikes are expected. Sunil Pareek, Executive Director, Assetz said that from a residential real estate perspective, stability in interest rates would certainly be supportive of homebuyer sentiment, particularly in view of the festive season. "A calibrated monetary policy that keeps inflation anchored without significantly increasing the cost of home ownership would be the most constructive outcome for the residential sector," Pareek added. Vineet Nahata, Director of Power Gilt Treasuries, said that given the recent rise in bond yields globally, a 50-basis-point hike by the MPC would not come as a surprise. "If not 50 basis points, MPC would definitely pitch for 25 basis points," he said. Shrikant Goyal, Managing Director, Getfive Funds, said that with the festive season approaching, MSMEs are preparing for a pickup in orders, and timely working capital will be key to making the most of it. "We expect the MPC to hold the repo rate and maintain a neutral stance, which will give borrowers and lenders the predictability they need to plan ahead," he said. India's retail inflation accelerated to an eight-month high of 4.82 per cent in August from 4.45 per cent in July. The RBI has been mandated by the government to ensure CPI inflation remains at 4 per cent with a margin of 2 per cent on either side.

Good morning. On Fortune’s radar today: OpenAI’s Altman: Don’t worry, the risks will be worth it. Plague escapes Russian lab; quarantine imposed in eastern Siberia. The human population is about to start shrinking. Markets: …

Good morning. On Fortune’s radar today: OpenAI’s Altman: Don’t worry, the risks will be worth it. Plague escapes Russian lab; quarantine imposed in eastern Siberia. The human population is about to start shrinking. Markets: Broadly up. The Fed is hurting the … Good morning. On Fortunes radar today:OpenAIs Altman: Dont worry, the risks will be worth it.Plague escapes Russian lab; quarantine imposed in eastern Siberia.The human population is about to start s…

Vizag software professional lost ₹20 lakh in WhatsApp crypto trading scam on Netobit.com; fraudsters demanded 15% “processing fee” to withdraw funds. Follow Us On Social Media Copyright © 2026 Bennett, Coleman & Co. Ltd. …

Vizag software professional lost ₹20 lakh in WhatsApp crypto trading scam on Netobit.com; fraudsters demanded 15% “processing fee” to withdraw funds. Follow Us On Social Media Copyright © 2026 Bennett, Coleman & Co. Ltd. All rights reserved. For reprint rights: Times Syndication Service

The memecoin market has been waking up again. Dogecoin, Pepe, Bonk, and dogwifhat have all posted monthly gains, while smaller names are producing violent breakouts that attract speculative capital back into the sector. Read …

The memecoin market has been waking up again. Dogecoin, Pepe, Bonk, and dogwifhat have all posted monthly gains, while smaller names are producing violent breakouts that attract speculative capital back into the sector. Read More: He Says His Binary Options Strategy Brings In $2,000 a Week—Watch Him Trade Live That makes today a good time to reassess the best memecoins October 2026 has to offer. Best Memecoins October 2026: Quick Comparison Token Approx. Market Cap Why It Stands Out Dogecoin ( DOGE ▼ $0.0842 ) $15B DogeOS could finally add an application layer Shiba Inu ( SHIB ▼ $0.00000524 ) $3.4B Shibarium gives SHIB a broader ecosystem Pepe ( PEPE ▼ $0.00000344 ) $1.9B Deep liquidity and strong speculative recognition Pudgy Penguins (PENGU) $600M One of crypto’s strongest consumer brands SPX6900 (SPX) $410M Extremely persistent community narrative Bonk (BONK) $330M Deep integration across Solana dogwifhat (WIF) $250M One of Solana’s most recognizable pure memecoins Useless Coin (USELESS) $250M Strong recent momentum Fartcoin (FARTCOIN) $180M Durable liquidity despite the joke premise Floki (FLOKI) $155M Valhalla and a larger utility ecosystem 1. Dogecoin — The Safest Memecoin Bet Dogecoin remains the obvious starting point for any best memecoins October 2026 list. Its advantage is scale. DOGE has by far the largest memecoin market cap and routinely trades hundreds of millions of dollars per day. That makes it less explosive than tiny tokens, but also much easier to enter and exit. The more interesting development is DogeOS. Related: Who Wins the AI-Crypto Race? 5 Tokens Building the Infrastructure for Autonomous Agents The project is building an EVM-compatible application layer around Dogecoin. Its Chikyū testnet is already live: developers can deploy smart contracts, and DOGE is used as the network currency. The first signal is live. 🫡 Crews are mobilizing 🔍 Intel is being passed 🐿 Ignore the squirrels 📣 Spread the wordhttps://t.co/g1q0plX3IY pic.twitter.com/VMMH3jrOFs — DogeOS (@DogeOS) May 8, 2026 For years, Dogecoin’s biggest weakness was that there was very little to do with it beyond sending, holding, and trading DOGE. DogeOS is attempting to change that. If DogeOS progresses from its current testnet into an active mainnet ecosystem, Dogecoin gets a catalyst that has little to do with Elon Musk posts or another round of meme speculation 2. Shiba Inu — The Ecosystem Bet Shiba Inu has followed a different path. SHIB began as a Dogecoin challenger, yet the project has since spent years building infrastructure around the token. The centerpiece is Shibarium, an Ethereum Layer 2 for lower-cost and faster transactions. That does not automatically create demand for SHIB. Actually, Shibarium uses BONE for gas, and the wider Shiba ecosystem includes several tokens. Still, SHIB has something that most memecoins lack: Strong infrastructure layer beneath Major-exchange liquidity Large holder base Enough brand recognition to survive multiple market cycles Its roughly $3.4 billion market cap also leaves more room for percentage gains than DOGE. Among the best memecoins October 2026, SHIB is more of a bet on the broader Shiba ecosystem. 3. Pepe — The Liquidity Play Pepe does not need a complex utility story. Its strength is that traders already know what it is. PEPE remains one of the largest memecoins, with a market cap around $1.9 billion and daily volume frequently running into hundreds of millions of dollars. It also gained nearly 30% over the past month before the start of October. That matters during speculative rallies. When capital rotates into memecoins, traders often gravitate toward assets with enough liquidity to absorb large positions but enough volatility to outperform Bitcoin and Ethereum. PEPE fits that profile almost perfectly. There is no protocol revenue or elaborate roadmap supporting the valuation. The investment case is the durability of the Pepe meme itself. 4. Pudgy Penguins — The Brand Bet PENGU is unusual because the token sits behind something people recognize outside the token itself. Related: Best Altcoins to Buy in October 2026 Before the Next Crypto Rally Pudgy Penguins has built one of crypto’s strongest consumer-facing brands through NFTs, toys, merchandise, games, licensing, and physical retail distribution. Pengu Card is live 🎉 🐧 Join the Huddle 💳 Spend at 150M+ merchants 🌎 Proliferate Pengu wherever you go Order your card nowpic.twitter.com/glpSkbfcvk — KAST (@KASTxyz) March 24, 2026 PENGU gives that community a liquid token. It is now one of the largest Solana memecoins, with a market cap around $600 million and unusually robust daily trading volume of over $200 million. That makes PENGU interesting for October. When speculative appetite rises, it can trade like a memecoin. Meanwhile, the underlying Pudgy Penguins brand keeps engaging the community through the market cool-off periods. For investors screening the best memecoins October 2026, PENGU offers a rare bet on the expanding IP ecosystem. 5. SPX6900 — The Cult-Community Bet SPX6900 is what happens when a memecoin turns absurdity into its entire investment thesis. The project openly says SPX has no intrinsic value, no formal team, and no conventional roadmap. Its central joke is that SPX6900 should somehow “flip” the S&P 500. Do not let your dopamine-fried brain confuse you about the current “boring sideways” period in the Crypto markets. Crypto is going significantly higher soon. BTC▲$77,666.00 to $222k SPX6900 to $200+ — Murad 💹🧲 (@MustStopMurad) March 26, 2026 Yet the community has proved surprisingly durable. SPX currently carries a market cap above $400 million despite offering very little traditional utility. That is precisely why it belongs on this list: successful memecoins are often social assets first and products second. SPX is risky even by memecoin standards, but it has retained the one thing that failed meme projects lose quickly — attention. Read more: Best Crypto to Invest in: Bitcoin, Ethereum or XRP? What the Latest ETF Flows Reveal 6. Bonk — The Solana Ecosystem Bet BONK is no longer just the dog token that helped revive Solana sentiment after FTX. It has spread across DeFi applications, wallets, trading products, gaming, NFTs, and other parts of the Solana ecosystem. The project says BONK is now held by more than one million on-chain wallets. That distribution matters. A memecoin connected to many applications has more ways to remain visible than one whose only activity happens on centralized exchanges. BONK has also gained roughly 25%–30% over the past month while its daily trading volume approaches $100 million. Among the best memecoins October 2026, BONK remains a clean way to bet simultaneously on Solana ecosystem and another memecoin cycle. However, a July governance attack that drained roughly $20 million from the BonkDAO treasury remains a significant risk to note. BonkDAO was the target of a malicious governance proposal resulting in an estimated $20M worth of BONK tokens being drained from the BonkDAO treasury. During the investigation, BonkDAO identified the exchange wallets used to purchase BONK ahead of the proposal. BonkDAO is… — BONK!!! (@bonk_inu) July 6, 2026 7. dogwifhat — The Pure Solana Meme WIF is the opposite of projects trying to manufacture utility around a joke. It is a dog wearing a hat. That simplicity helped dogwifhat become one of the defining tokens of Solana’s previous memecoin cycle, and it still trades with considerably more liquidity than most tokens its size. WIF entered October with a market cap around $250 million after gaining roughly 30% over the previous month. The bull case is straightforward: if Solana becomes the center of another speculative memecoin wave, traders already know WIF. The bear case is equally straightforward. There is almost nothing underneath that recognition if attention moves somewhere else. 8. Useless Coin — The Momentum Bet The name tells you roughly how seriously Useless Coin takes itself. But its recent price action is harder to dismiss. USELESS has climbed more than 135% over the past month and reached a market cap around $250 million. Daily trading volume has also moved into the tens of millions. That gives it one thing traders consistently chase during memecoin rallies: momentum. The problem is that momentum works both ways. A token that doubles in a month can continue running if attention compounds. It can also fall much harder once early buyers start taking profits. USELESS therefore belongs among the best memecoins October 2026 only for investors comfortable with extreme volatility. Read more: Best Crypto to Buy Before the Next Crash: Top 5 Coins to Watch Through the End of 2026 9. Fartcoin — The Survivor Fartcoin looked designed to disappear: a project built around a deliberately stupid joke. But instead, it survived. The Solana token still has a market cap around $175 million and regularly posts over $30 million in daily trading volume. Survival itself matters in memecoins. Thousands of tokens launch during every speculative wave. Most lose their liquidity and disappear from market attention. FARTCOIN has retained enough recognition and trading activity to remain relevant long after its initial viral phase. There is no fundamental valuation model here. The case is entirely based on brand recognition, and the possibility that familiar names outperform when speculation returns. 10. Floki — The Utility-Heavy Memecoin FLOKI has gone further than most memecoins in trying to build products around its token. Its ecosystem now includes: Valhalla, a blockchain game TokenFi, a tokenization platform Staking Educational products Trading bot Valhalla is particularly important because FLOKI is used inside the game’s economy rather than existing only as a speculative ticker. The token remains much smaller than DOGE, SHIB, or PEPE, with a market cap around $150 million. That gives it more upside if attention returns, but also considerably higher risk. For investors looking beyond pure memes, FLOKI is a distinctive name on the best memecoins October 2026 shortlist. Which Memecoin Has the Most Upside? Potential upside generally increases as market cap falls — but so does the chance of losing most of the investment. DOGE would require billions of dollars in new value to double. USELESS, FARTCOIN, or FLOKI require far less capital. That does not make the smaller tokens better investments. A useful way to divide the list is by risk: More established: DOGE, SHIB, PEPE DOGE, SHIB, PEPE Mid-cap momentum: PENGU, SPX, BONK, WIF PENGU, SPX, BONK, WIF Higher-risk: USELESS, FARTCOIN, FLOKI The most interesting setup may depend on what drives the next rally. DogeOS favors DOGE. Another Solana speculative wave favors BONK and WIF. Consumer-brand expansion helps PENGU. A pure risk-on frenzy could favor the smaller names. What Could Trigger the Next Memecoin Rally? Memecoins usually benefit when Bitcoin is stable or rising, liquidity spreads into altcoins, and traders become willing to move further out on the risk curve. There are also token-specific catalysts. DogeOS gives DOGE a new infrastructure story. Pudgy Penguins continues building its consumer brand. BONK is deeply embedded in Solana. FLOKI has actual products. Smaller tokens such as USELESS can move simply because momentum attracts more momentum. The broader memecoin sector currently has a market capitalization around $35 billion. That is substantial, but far below levels seen during stronger speculative periods. If capital rotates back into the sector, the best memecoins October 2026 candidates are well-positioned to capture that flow. Final Verdict: What Are the Best Memecoins to Buy in October 2026? There is no single memecoin that combines maximum upside with low risk. DOGE remains the strongest large-cap choice, particularly with DogeOS giving the token a new technical catalyst. PEPE offers one of the cleanest liquidity-driven trades. PENGU combines memecoin speculation with a genuine consumer brand, while BONK and WIF remain obvious bets on another Solana meme cycle. Further down the market-cap ladder, SPX, USELESS, FARTCOIN, and FLOKI offer larger potential percentage moves but much less room for error. That is the real tradeoff behind the best memecoins October 2026 list. The more explosive the upside looks, the less capital it usually takes to send the token in the opposite direction.

For nearly five years, Cathie Wood of Ark Invest has been banging the table for investors to ramp up their exposure to Bitcoin (CRYPTO: BTC). She was the first high-profile investor to put out …

For nearly five years, Cathie Wood of Ark Invest has been banging the table for investors to ramp up their exposure to Bitcoin (CRYPTO: BTC). She was the first high-profile investor to put out a $1 million price target for Bitcoin back in 2022, and she has co… For nearly five years, Cathie Wood of Ark Invest has been banging the table for investors to ramp up their exposure to Bitcoin (CRYPTO: BTC). She was the first high-profile investor to put out a $1 m…

marketdx The financial impact graph, in Python. News → who it touches and why — the causal channel, the story's lean, and the ripple — across stocks, commodities, FX, crypto, and private companies. A …

marketdx The financial impact graph, in Python. News → who it touches and why — the causal channel, the story's lean, and the ripple — across stocks, commodities, FX, crypto, and private companies. A research, screening & feature layer — direction is the news's content lean, not a price forecast. ▶ Live playground · Docs & pricing · Sample dataset pip install marketdx # add [pandas] for .to_df(): pip install "marketdx[pandas]" An API key is required. Create a free one at https://marketdx.app (sign in → API keys), then pass it to the client (keep it out of source control — read it from an env var / secret in real apps): from marketdx import MarketDX mdx = MarketDX ( api_key = "avn_live_…" ) # your key from https://marketdx.app for s in mdx . news ( megatrend = "ai-power" , impact = "indirect" ): print ( s . title , [( e . name , e . impact . net_direction ) for e in s . entities ]) That's the whole graph: every news event, every affected entity, labeled with direction, relevance, the causal aspect (the why), and whether it's the epicenter or a ripple — across five asset classes, including private companies ticker feeds can't see. No key yet? Explore everything with zero signup in the playground, then grab a free key at https://marketdx.app. Every request is authenticated with your key ( Authorization: Bearer <key> ) and metered in credits. Why the SDK (not just requests ) Typed graph — signal.entities[0].impact.aspects[0].direction with autocomplete, not raw dicts. — with autocomplete, not raw dicts. Auto-pagination — for s in mdx.news(...) pages for you. limit= caps how many you get (default 50; limit=None walks the whole match set); page.total is the full count. — pages for you. caps how many you get (default 50; walks the whole match set); is the full count. Names, not ids — megatrend="ai-power" or "AI Power & Cooling" or 10040000 all work. — or or all work. .to_df() — the whole result as a pandas DataFrame, one row per (event × entity × aspect). — the whole result as a pandas DataFrame, one row per (event × entity × aspect). Typed errors — AuthError , QuotaError , RateLimitError , BadRequestError , NotFoundError . The graph, a few ways # 1. Ripple: a themed event that also touches NON-thematic entities (our differentiator) for s in mdx . news ( megatrend = "semiconductors" , impact = "indirect" , limit = 50 ): ... # 2. Beyond tickers: private companies in a trend (OpenAI, Anthropic, Ampere, ChangXin…) for c in mdx . megatrends ( "semiconductors" ) . off_coverage (): print ( c . name , c . type , "→" , c . megatrend [ "node_name" ]) # 2b. …or just the NEWS that moves private companies — one server-side filter on the feed for s in mdx . news ( entity_type = "private" , only_scored = True ): # also: crypto / commodity / forex / stock print ( s . title , [ e . name for e in s . entities if e . type == "private" ]) # 3. Per-stock impact timeline + its news-derived rivals tl = mdx . stock ( "NVDA.US" ) . news ( aspect = "competition" ) peers = mdx . stock ( "NVDA.US" ) . competitors () # 3b. Find ANY entity — stock, commodity, crypto, forex, or an off-coverage PRIVATE company — # each hit carries a ready-to-use .ticker (+ .type) you feed straight back into by-tickers gold = mdx . stocks ( q = "gold" ) . first () . ticker # -> "GOLD" (the commodity) openai = mdx . stocks ( q = "openai" ) . first () . ticker # -> "oc:52" (private, off-coverage) news = mdx . news_by_tickers ([ "NVDA.US" , openai ]) # NVIDIA + OpenAI news in one feed # 4. News-driven screen — where the news leans positive on a theme (the model's read, for research) positive_lean = mdx . stocks ( megatrend = "ai-power" , direction = "pos" , country = "US" , order_by = "news_count" ) # 5. Semantic search — match news by MEANING, not keywords (each hit is explainable) for s in mdx . news_search ( "chip export controls to China" , limit = 5 ): print ( round ( s . similarity , 2 ), s . scored , s . title ) # how-strongly-matched + does-it-move-an-entity # 6. Brief in ONE call — pulse timeseries + top stories + winners/losers + heatmap + assets. # Scope by theme, market, news-type, impact-channel, GICS sector, or any mix (>=1 scope). brief = mdx . theme ( "ai-power" ) . summary ( window = "qtd" ) # theme brief (== brief(megatrend="ai-power")) brief = mdx . brief ( news_type = "commodity_supply" , country = "JP" , window = "90d" ) # "commodity news, in Japan" brief = mdx . brief ( gics = "2550" , country = [ "GB" , "DE" , "FR" , "IT" , "ES" , "NL" ]) # "European retail pulse" (sector x region) # Find a GICS code by name — mdx.gics() returns the whole bounded taxonomy (filter client-side): hits = [( g . code , g . name ) for g in mdx . gics () if "retail" in g . name . lower ()] # -> ('2550','Consumer Discretionary Distribution & Retail'), … print ( brief [ "pulse" ][ "story_count" ], brief [ "pulse" ][ "net_direction" ]) print ([ w [ "ticker" ] for w in brief [ "winners" ]], "vs" , [ l [ "ticker" ] for l in brief [ "losers" ]]) print ([ a [ "name" ] for a in brief [ "top_assets" ]]) # commodity / forex / crypto the theme moves Straight to pandas .to_df() returns the same columns as the sample dataset ( impact-signals.csv ) — so anything you prototyped on the free CSV runs unchanged on the live graph: df = mdx . news ( megatrend = "ai-power" , impact = "indirect" ) . to_df () # published_at · title · brief_text · entity_name · entity_ticker · entity_type · direction · # aspect · reason · relevance · impact · impact_score · node_name · entity_country · publisher · url df . groupby ([ "entity_type" , "direction" ]) . size () # who the news lands on, +/− by asset class (the model's read) df [ df . aspect == "tariff" ] . entity_name . value_counts () # who the tariff channel touches Filtering — read this before you filter Feed filters are EVENT-level, not row-level. news(direction=…, aspect=…, news_type=…, country=…) selects articles that contain at least one matching impact and returns the whole article with all its entities and aspects. So direction="pos" can return an article that also moves something neg , and aspect="supply" can return one whose other entities are hit via monetary . For exact per-row filtering, post-filter the entities: for s in mdx . news ( news_type = "commodity_supply" , direction = "pos" ): for e in s . entities : for a in ( e . impact . aspects if e . impact else []): if e . type == "commodity" and a . direction == "pos" and a . aspect == "supply" : ... # exact row you asked for Two different "direct" axes (don't conflate): Signal.impact_type ( direct | indirect ) = the article's relation to the queried node — epicenter ( direct ) vs ripple ( indirect ). Set by news(megatrend=…, impact="indirect") . ( | ) = the relation to the — epicenter ( ) vs ripple ( ). Set by . Entity.direct ( True | False ) = whether that entity is factually mentioned in the article ( True ) vs impact-only / not named ( False ). Narrow the feed by entity — server-side. news() (and news_search() ) filter by entity_type / only_scored / min_relevance in the API, so page.total stays the exact filtered count (no wasted paging). These keep the whole article — for an exact per-row cut, still post-filter the entities as above. mdx . news ( entity_type = "commodity" ) # feed → only stories that move a commodity mdx . news ( entity_type = "private" ) # only stories moving a private co (OpenAI, SpaceX) mdx . news ( only_scored = True ) # drop mention-only articles (keep judged impact) mdx . news ( min_relevance = 0.8 ) # only a strongly-relevant scored entity mdx . news ( megatrend = "ai-power" , entity_type = "crypto" ) # entity filters compose with megatrend scope mdx . news_search ( "oil supply shock" , entity_type = "commodity" ) # search supports entity_type too mdx . news_by_tickers ( "NVDA.US" ) # a ticker's news (direct + indirect by default) mdx . news_by_tickers ( "NVDA.US" , link = "direct" ) # only where NVDA is factually named (not ripple-only) mdx . news_search ( "oil shock" , megatrend = "ai-power" ) # semantic search, scoped to a trend mdx . megatrends ( "ai-power" ) . off_coverage () # private / off-coverage roster Entity filters do not apply to impact="indirect" (the ripple feed) — the API returns 400 if you combine them. On news_by_tickers , the ticker set already scopes the entities. Only entities with a scored impact (many are mentioned-only) — only_scored=True narrows to such articles server-side; then read the scored entities off each signal: scored = [ e for s in mdx . news ( megatrend = "ai-power" , only_scored = True ) for e in s . entities if e . impact and e . impact . aspects ] What to expect in entities (not bugs): Mostly mention-only. An article's entities mix two kinds: mentioned ( e.direct is True , e.impact is None ) — every ticker the article names — and scored ( e.impact is not None ) — the ones the model judged materially moved. Mentions usually outnumber scored (a story names many tickers but moves a few). Want just the movers? only_scored=True or filter e.impact . An article's mix two kinds: mentioned ( , ) — every ticker the article names — and scored ( ) — the ones the model judged materially moved. Mentions usually scored (a story names many tickers but moves a few). Want just the movers? or filter . entities can be empty. include=entities attaches entities if the article maps to any; a macro / policy / commodity story that names no covered company (e.g. "China bans helium exports") legitimately returns entities == [] . It means no entity resolved, not a dropped/failed enrich. Provenance. A scored impact ships its evidence, not just a label: aspect + direction + relevance (the judgment), reason (why), Entity.direct (named vs affected-only), and impact.label_version — the labeling-scheme version (currently "1.0" ), a per-label stamp that bumps when the model/prompt/taxonomy changes so you can detect and re-evaluate shifts. Audit or gate on it: e.impact.label_version . stock(t).news() is a stock-centric timeline — a StockNews (the stock's own impact / trend / relevance ), not an entity graph (no entities[] ). For the full graph of an article, use news() . Story-collapse (on by default). The same story is often republished / rewritten across outlets. Every news feed — news() , news_search() , news_by_tickers() and stock(t).news() — merges those near-duplicates into a single signal by default (cosine-similarity grouping, server-side) so a feed reads one-story-one-row. Pass collapse=False when you want the raw, un-deduped stream — e.g. to measure coverage volume: merged = mdx . news ( megatrend = "ai-power" ) . to_list () # deduped (default) raw = mdx . news ( megatrend = "ai-power" , collapse = False ) . to_list () # every republication Each collapsed signal also carries its cluster metadata — group a dashboard by story_id and see reach + lifespan without double-counting: for s in mdx . news ( megatrend = "ai-power" , limit = 5 ): print ( s . story_id , s . dup_count , s . first_seen , s . latest_seen ) # cluster id · outlets · broke · last echo The brief — the whole picture in one call mdx.theme(id).summary(...) (a theme = a megatrend node; also mdx.megatrends(id).summary(...) ) returns a pre-composed analyst brief so you don't stitch 5+ requests together. It's a fixed composite dict , not a paginated list: brief = mdx . theme ( "ai-power" ) . summary ( window = "30d" ) # 7d/30d/90d/180d/1y or mtd/qtd/ytd (or from_/to) brief [ "pulse" ] # story_count, net_direction, pos/neg share + a `series` (volume+sentiment/bucket) brief [ "top_stories" ] # epicenter, deduped; market-wraps & no-member-named stories deprioritized brief [ "ripple" ] # indirect (ripple-in) stories, each with `via` brief [ "winners" ], brief [ "losers" ] # member stocks by net direction brief [ "aspect_heatmap" ] # which channels the theme is playing out through brief [ "top_entities" ] # operating companies most in the news brief [ "top_assets" ] # commodity / forex / crypto the theme moves (split out from companies) Every count is story-deduped (20 outlets on one story = 1). The pulse.series is the momentum signal — there's no single momentum scalar (the latest bucket is the current, partial period). Cost: 15 credits. Any scope, not just a theme. mdx.brief(...) composes the same object over any AND-combination of megatrend / news_type / country / aspect / gics (≥1 required) — a theme, a market, a news category, an impact channel, a GICS sector, or a mix: mdx . brief ( country = "JP" ) # how is Japan doing right now? mdx . brief ( news_type = "commodity_supply" , country = "JP" ) # commodity news, in Japan mdx . brief ( aspect = "tariff" , window = "90d" ) # everything moving via tariffs mdx . brief ( megatrend = "semiconductors" , country = "US" ) # a theme, narrowed to one market applied_scope echoes what you filtered. node + ripple appear only when a single megatrend anchors the brief (without a theme there's no ripple). Under a megatrend scope winners / losers are the theme's members; otherwise they're the top +/- companies in the scope. theme(id).summary(...) == brief(megatrend=id, ...) . megatrend / news_type / country / aspect / gics each take one value or a list. Metering & errors Every call carries X-Credits-Charged / X-RateLimit-* ; check your balance any time (free, unmetered): mdx . account () # {'plan': …, 'credits': {'balance', 'daily_quota', 'resets_at', 'unlimited'}, 'rate_limit': …} from marketdx.errors import QuotaError , RateLimitError try : signals = mdx . news ( megatrend = "ai-power" ) . to_list () except RateLimitError as e : time . sleep ( e . retry_after or 1 ) except QuotaError : ... # daily quota spent — resets 00:00 UTC Enum values ( aspect , direction , entity_type , …) are type hints for your editor — the API is the source of truth, so new values work without upgrading the SDK. The live list: mdx.enums() . Reference news · news_search · news_types · megatrends ( .stocks / .off_coverage ) · gics ( .stocks ) · stocks (search + screener) · stock ( .news / .competitors / .peers ) · enums · account . Full API docs: marketdx.app. License MIT. Built by MarketDX — democratizing financial data.

Roman Storm and the XRP army aren’t happy former SEC boss Jay Clayton is Trump’s new AI czar, Peter Brandt flips bullish and says Bitcoin may reach as high as $600K by 2029. Trump …

Roman Storm and the XRP army aren’t happy former SEC boss Jay Clayton is Trump’s new AI czar, Peter Brandt flips bullish and says Bitcoin may reach as high as $600K by 2029. Trump taps intel chief Jay Clayton to lead new Super Intelligence Force President Donald Trump has named Jay Clayton, US director of national intelligence, to lead the country’s new Super Intelligence Force, according to a post on Truth Social on Sunday. “The Super Intelligence Force is tasked with coordinating the effort of the Federal Government to ensure that America continues to lead the World in Super Intelligence,” Trump wrote in his post. Clayton led the Securities and Exchange Commission during Trump’s first term and launched a prosecution against Ripple for selling securities on his last day in office, and as U.S. Attorney for the Southern District of New York led the criminal trial against Roman Storm for his involvement in Tornado Cash. Storm commented: “It doesn’t look like we’re headed toward a future that supports open-source AI.” Trump’s buddy Elon Musk is renaming SpaceXAI to SpaceXSI to honor the President’s directive to rename “artificial intelligence” to “super intelligence.” Source: Roman Storm NEAR Intents hack has a happy ending NEAR has been riding a wave of positive sentiment lately and has more than doubled in price over the past month. This week it received praise in some quarters — and criticism in others — after its SHIELD AI system blocked Bitget’s hacked funds from its INTENTS cross chain swaps platform. Its Bitwise ETF debuted this week with almost $60 million of inflows. SHIELD also helped to halt a $3.8 million exploit of NEAR Intents due to a “bug in the Omni deposit and withdrawal infrastructure interaction with NEAR Intents smart contract.” Sentiment flipped bearish for about seven and a half minutes, until NEAR Intents general manager Alex Shevchenko posted like a boss “we have identified you, sir” and issued a 48 hour ultimatum to return the funds or to presumably face the full force of the law. “You know better than most how responsible disclosure works — this is the last window to use it. After 48 hours, that window closes.” The funds were duly returned, and Shevchenko urged other exploiters thinking of LARPing as white hat hackers to “use bug bounties instead of disrupting the services.” The move to block Bitget’s stolen funds sparked a lot of debate and was in stark contract to THORChain which has refused to block swaps on its platform, pointing to ideals around decentralization. There is also a live debate over whether SHIELD blocking funds leaves it legally liable for everything that happens on the platform in future. NEAR is down 11% this week. Arthur Hayes says money printing is inevitable Money printing is coming due to the AI revolution, the United State’s debt crisis, and increasing financial stress in France, says Arthur Hayes, chief investment officer at Maelstrom fund. AI companies need trillions of dollars to finance data centers even as the prices of their services fall, Hayes said at a fireside chat at CONNECT by Cointelegraph: Seoul Edition, on Tuesday during Korea Blockchain Week. “They’ve not really given themselves a lot of options other than print money and make it less bad,” he said. Hayes also discussed China potentially moving to monetary stimulus along with increasing financial stress in France, including credit-default swaps tied to BNP Paribas and French government bond spreads. BitMEX co-founder Arthur Hayes speaking at CONNECT by Cointelegraph: Seoul Edition. Blast to wind down Ethereum L2 after costs outpace revenue Ethereum layer-2 network Blast is shutting down after its operating costs exceeded the revenue generated by the chain. In a Friday post on X, Blast said it sees no “credible path” to making the network economically sustainable and asked users to withdraw their assets to Ethereum mainnet: “Unfortunately, the economics of operating the chain no longer make sense.” Blast was founded by Tieshun “Pacman” Roquerre, the founder of NFT marketplace Blur, in November 2023 with native yield on Ether and stablecoins and a points program tied to an anticipated token airdrop. The strategy helped attract more than $2 billion in deposits before mainnet launched in February 2024. Its DeFi total value locked has fallen by more than 98% since its June 2024 peak, according to DeFiLlama data. Ethereum schedules Glamsterdam upgrade on Sepolia for Oct. 6 Ethereum developers have scheduled the network’s next major upgrade, Glamsterdam, to activate on the Sepolia testnet on Oct. 6. Sepolia node operators must update both their execution-layer and consensus-layer clients before the activation, the Ethereum Foundation said. One of Glamsterdam’s changes is enshrined proposer-builder separation. It will move the handoff between specialized block builders and validators into Ethereum’s protocol, reducing reliance on outside middleware. Glamsterdam will introduce block-level access lists, which record the accounts and storage locations used during each block, and will enable parallel processing by clients to speed up throughput. Winners and Losers At the end of the week, Bitcoin (BTC) is up 1.4% to trade at $85,821, Ethereum (ETH) is up 0.6% to trade at $2,701 and XRP (XRP) is down 0.8% to $1.50. The total market cap is at $2.92 trillion according to CoinMarketCap. Among the biggest 100 cryptocurrencies, the top three altcoin winners of the week are Midnight (NIGHT) with a 60.6% gain, StarkNet (SRK) on 14.5%, and Pump.fun (PUMP) on 26.3%. The top three altcoin losers of the week are Lighter (LIT) which was down 22.2%, Zcash (SEC) down 16.4% and Ethena (ENA) down 14%. Prediction of the Week Peter Brandt says Bitcoin may hit $600K by 2029 Veteran trader Peter Brandt has flipped bullish, after warning in Julyt that prices could fall into the high $40K zone. “There’s a good possibility we have seen the low and now are entering a new bull market cycle in Bitcoin,” Brandt told Cointelegraph on the latest episode of Trade Secrets. Brandt has also raised his sights for Bitcoin’s next peak, putting a late-2029 high of between $300,000 and $600,000, up from the $250,000 to $300,000 range he outlined in July. “The bull market cycle this time has a very good chance of reaching half a million,” he said. Top FUD of the Week Crypto hacks top $768M in September, worst month of 2026 Crypto suffered its worst month of the year for hacks and exploits in September, with two blockchain security firms estimating losses at more than $766 million. PeckShield counted 55 major incidents resulting in $766.5 million in stolen funds, while CertiK recorded 97 incidents and estimated losses at $768.4 million. The month included the $388 million Bitget hack and a $320 million hack of the Liquid Network. More than $270 million was later returned, according to reports. “September was a stark reminder of how quickly the threat landscape can shift,” CertiK said. Other crypto hacks in the month included Safe Wallet, DCENT, and Duelbits, which lost $7.8 million, $6 million and $5.9 million, respectively. Largest incidents in September. Source: CertiK Aave founder says V3 unaffected after third-party adapter exploit drains $305K Aave founder Stani Kulechov said Aave v3 was unaffected by an exploit that drained roughly $305,000 from two Safe multisig wallets through a third-party adapter built on top of the lending protocol. “This is not Aave v3 contract, it’s third party external adapter built on top of Aave, zero effect on Aave v3,” Kulechov said on X. Tether says it helped freeze $550M in Iran-linked USDT this year Stablecoin issuer Tether said it helped authorities freeze nearly $550 million in Iran-linked USDT during 2026, The statement from Tether came as Democratic investigators on the Senate Permanent Subcommittee on Investigations released a report alleging USDT had become a key channel for Iran to evade sanctions. Investigators found that 84% of 846 crypto wallets sanctioned over ties to Iran had transacted exclusively or nearly exclusively in USDT. The findings prompted US Senator Richard Blumenthal to call on the Treasury and Justice departments to investigate potential sanctions violations. Top Magazine Features of the Week The furious debate over Bitget’s $387.7M of hacked funds comes down to whether ideals around “permissionless and decentralized” tech means never intervening — even if you could. THORChain will not — or can not — block addresses linked to the $387.5 million Bitget hack. Can the devs be prosecuted for money laundering? It’s complicated, says crypto lawyer Yuriy Brisov. Highly liquid and settling 24/7, stablecoins can leave banks and countries at lightning speed. But whether stablecoins are a risk — or an opportunity — depends on your perspective.

Europe's Bitcoin market is up 4% since early September while the US market slipped 3%, even as US spot ETFs posted their biggest week in about a year Bitcoin has a geography problem, and …

Europe's Bitcoin market is up 4% since early September while the US market slipped 3%, even as US spot ETFs posted their biggest week in about a year Bitcoin has a geography problem, and for once Europe is on the winning side of it. Europe’s Bitcoin market has gained 4% since early September. The US market has declined by 3% over the same stretch. The numbers behind the split Start with price. Bitcoin sat near $75,000 in mid-September 2026, a level that had traders nervously checking their stop-losses. By September 23, it had climbed to over $87,000. It then drifted back and has been stabilizing in the $83,000 to $85,000 range. One clue comes from the Coinbase Premium Index. Think of it as a price thermometer comparing what Bitcoin costs on Coinbase, a venue heavily used by US investors, with what it costs on global platforms like Binance. Advertisement When the reading is positive, Americans are paying up to get their hands on Bitcoin. When it’s negative, they’re bidding below the rest of the world. Around October 3, 2026, the index had printed negative values for 29 consecutive days, ranging from –0.01% to –0.03%. The news moving money, markets, and the world—before your day starts. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Broader demand data paints a similar picture. CryptoQuant’s apparent spot demand metric showed a contraction of around 170,000 BTC over the 30 days leading into early October. Wait, what about the ETFs During the week of September 21-25, 2026, US spot Bitcoin ETFs pulled in net inflows of approximately $2.39 billion. That marked the largest weekly net inflow in about a year, with products from BlackRock and Fidelity leading the charge. ETF inflows reflect a specific type of investor: often institutions and advisers buying through brokerage accounts. The Coinbase premium captures a different slice of activity on an exchange. A strong ETF week sitting alongside a negative premium suggests US demand is uneven rather than uniformly strong. Europe builds out its toolkit On September 29, 2026, HANetf launched what it billed as the first euro-hedged Bitcoin exchange-traded commodity, or ETC. An ETC is a listed product that trades on a stock exchange, letting investors get Bitcoin exposure without managing wallets or private keys. The euro-hedged angle is aimed at European investors who want reduced volatility exposure. Bitcoin is largely priced in dollars, so a euro-based investor normally rides two roller coasters at once: the coin’s price and the currency swing. Hedging is designed to take the second ride off the itinerary. The launch arrives as Europe’s regulatory picture firms up under MiCA, the Markets in Crypto-Assets framework. MiCA is the EU’s rulebook for crypto, setting common standards across member states rather than leaving each country to improvise. What this means for the market The ETF inflows offer a counterweight. A roughly $2.39 billion week shows that confidence among certain US investors has not disappeared. The contraction in apparent demand is the bigger caution flag. A drop of around 170,000 BTC in spot demand over 30 days suggests the move up from $75,000 may have been built on thinner support than the price chart implies. That could help explain why Bitcoin slid back from above $87,000 into the low-to-mid $80,000s. Watch the Coinbase premium for signs of US buyers returning, watch ETF flow data for whether institutional appetite holds, and watch European product launches for whether the continent’s 4% outperformance turns into something bigger.

Zcash, a privacy-focused cryptocurrency, has taken a significant step in its advocacy efforts by registering a lobbyist in Washington, DC. The registration involves Divij Pandya, who will represent Zcash under the umbrella of Pretty …

Zcash, a privacy-focused cryptocurrency, has taken a significant step in its advocacy efforts by registering a lobbyist in Washington, DC. The registration involves Divij Pandya, who will represent Zcash under the umbrella of Pretty Good Policy for Zcash (PGPZ), a policy group focused on financial privacy and developer protections. This move aims to influence various aspects of crypto policy, including the Digital Asset Market Clarity Act and digital-asset tax proposals. The lobbying efforts are expected to center on U.S. market structure and tax rules, aligning with Zcash’s emphasis on privacy-preserving technologies. Advertisement In the broader cryptocurrency market, this development is being closely monitored, particularly in relation to Bitcoin’s future price predictions. Markets are evaluating how this lobbying effort might impact regulatory clarity, which could potentially influence the sentiment towards cryptocurrencies like Bitcoin. Current pricing in markets such as the Bitcoin Future Price Predictions shows a slight increase in the probability of Bitcoin reaching significant price thresholds by the end of 2026. Key Takeaways The registration of a lobbyist for Zcash suggests a strategic move to influence favorable crypto policies in Washington. Market participants may interpret this as supportive of increased regulatory clarity, potentially impacting Bitcoin sentiment. Current pricing trends show modest increases in the likelihood of Bitcoin reaching higher price points by the end of 2026. What to Watch Observers will be keenly watching how U.S. congressional developments on cryptocurrency legislation unfold, especially regarding the Digital Asset Market Clarity Act. Any progress or setbacks in these legislative efforts could significantly impact market sentiment. Additionally, the actions and statements of key figures in the crypto space, such as Mike Novogratz and the Federal Reserve, will also be crucial in shaping expectations and market dynamics. Pricing remains sensitive to any announcements that could either bolster or dampen confidence in the crypto market’s regulatory environment.

The asset manager's Premium RWA Vault now lends USDC against tokenized real-world assets on Morpho, posting a net APY of 4.79% Bitwise Asset Management has taken its Premium RWA Vault, better known as PAPY, …

The asset manager's Premium RWA Vault now lends USDC against tokenized real-world assets on Morpho, posting a net APY of 4.79% Bitwise Asset Management has taken its Premium RWA Vault, better known as PAPY, to Circle’s Arc blockchain. The vault now sits atop the yield rankings among Morpho vaults on the network, posting a net APY of 4.79%. How the PAPY-USDC vault works The expansion went live on September 16, 2026, timed to coincide with Arc’s public mainnet launch. The new product, called PAPY-USDC, runs on the Morpho lending protocol using its Vault V2 architecture. Users deposit USDC, and the vault lends that money out to borrowers who post tokenized real-world assets, or RWAs, as collateral. Those loans are overcollateralized. Borrowers have to lock up more value than they take out, which gives lenders a cushion if things go sideways. The collateral accepted includes Huma Finance’s PST and sUSDai. The vault may also allocate to cirBTC markets, adding another potential lending venue. Bitwise acts as the curator but stays non-custodial. It never holds depositors’ funds directly. Instead, it sets the rules: which collateral qualifies, what loan-to-value ratios apply, and which interest-rate models the vault uses. Advertisement The numbers behind the vault PAPY-USDC targets a variable APY of 5-6%. As of early October 2026, the vault reported a net APY between 4.8% and 5.55%, with the Morpho app showing 4.79%. The fee structure is light. Bitwise charges a management fee of approximately 0.39-0.4%, and there is no performance fee. The news moving money, markets, and the world—before your day starts. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Deposits are still modest. In early October 2026, the vault held between $418K and $422K in USDC. The vault’s capacity is capped at roughly $1B. The vault follows the ERC-4626 standard and has no lock-up requirements. Depositors can withdraw when they want, subject to the vault’s available liquidity. A second act after Ethereum Arc is not PAPY’s first stop. Bitwise launched a PAPY-AUSD vault on Ethereum on September 2, 2026. That version pulled in over $20 million in deposits within two weeks. The Arc version arrived just two weeks after the Ethereum launch. The key difference is the currency: Arc’s vault is built around USDC from day one. Bitwise brings an established footprint to the effort, with $9 billion in client assets. What this means for DeFi lending and RWA yield For Morpho, the expansion reinforces its role as infrastructure that curators can deploy across multiple networks. Bitwise now runs PAPY on Morpho on both Ethereum and Arc. The vault’s yields have been variable, ranging from 4.8% to 5.55% in recent reporting, and sometimes falling short of the 5-6% target. Collateral quality is the other key variable: overcollateralization offers protection, but the vault’s safety ultimately depends on how well assets like Huma’s PST and sUSDai hold their value and remain liquid.