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Autonomous media meets self-improving intelligence. Allora’s predictive price feeds now power 【 AITV 】’s 24/7 DeFi livestream. With live BTC, ETH, and SOL forecasts, Allora helps Gecko and Vilady deliver context-aware market intelligence—on demand, in real time.

Allora

208,704 subscribers

22,180 views • 1 year ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Comments

Allora1 year ago

For more on how AITV is streaming Allora’s collective intelligence in real time, read the full announcement 👇

Beamable Network1 year ago

@aitvgg What an amazing innovation This is one way to use the AI right

The Crypto Mewtwo1 year ago

@aitvgg allora powers live streaming agents

Rahul OpenLedger 🐙1 year ago

@aitvgg gML big news

Illy1 year ago

@aitvgg 💎

lizbaby1 year ago

@aitvgg GML to all allora believers If you are one, reply hwre

Michael Media👾1 year ago

@aitvgg Took the allora pill 💊 gAllora

Onchain BandiT1 year ago

@aitvgg Allora stays shipping Allora cooks we feast gmL

Perpetual1 year ago

@aitvgg your partnership with @aitvgg is next level. Watching Gecko and Vilady deliver real-time market intel powered by decentralized Al is mind-blowing. BTW, I recently had my content flagged as Al-generated (totally human, I swear! ), but it's a reminder to keep our posts authentic.

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17,793 views • 1 year ago

After being malicious reported, SkyAI is officially back — and we’re returning with something BIG. Building on BNB Chain — we deliver the future of on-chain intelligence: • AI-powered wallet insights • Real-time Web3 market research • Seamless blockchain data access DEMO NOW LIVE — experience the vision, build the chain🔥 #SKYAI

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76,970 views • 1 year ago

I built a Claude trading bot for 5/15 minute BTC markets > $380 -> $1063 in 24 hours Everything runs on a local server, which helps it work 24/7. The bot trades all fast markets, not just BTC but also ETH, SOL, XRP It uses the improved Fast-Loop strategy this is the exact strategy the most profitable traders on Polymarket use after a quick BTC pump, Polymarket doesn't always update the price in time, and there's a delay Δt ≈ 5ms exploitable window These 5 seconds are exactly what helps traders make from $20,000 a day

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Noisy

68,687 views • 4 months ago

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60,294 views • 1 month ago

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Nexera

15,938 views • 1 year ago

intern here. Today I integrated AI Crypto Alerts inside AI Hub V2 into my trading workflow. The results were pretty surprising. On the main dashboard, I could scroll and instantly see what materially moved across the market, classified as Bullish, Bearish or Neutral, with the catalyst attached. 🔹Intraday dumps after extreme rallies. 🔹Sharp pullbacks after outsized surges. 🔹Tokens extending 20%+ on volume expansion. 🔹Narrative-driven pumps across sectors. Instead of scanning X, Telegram, Discord and news feeds, I had one structured intelligence stream showing price movement + reason + sentiment in seconds. Then I built a custom watchlist with the assets I actually track: BTC, ETH, SOL and others. That’s where it became tactical. I could see: • Bullishness scores (0–100) • 24h change and market cap positioning • The latest catalyst summarized clearly • Overall sentiment at a glance For example: BTC pushing on ETF inflows and safe-haven positioning. ETH sentiment leaning bearish amid founder selling and macro uncertainty. SOL showing a strong bullishness score despite conflicting narrative pressure. Seeing that context next to price changed how I interpreted moves. If you actively trade, the workflow difference is noticeable → Disclaimer: ChainGPT does not endorse any projects mentioned in this post. Always do your own research before making trading decisions.

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27,328 views • 4 months ago

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71,588 views • 11 months ago

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118,686 views • 7 months ago

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20,668 views • 1 year ago

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10,373 views • 1 year ago

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Jessie

293,818 views • 1 year ago

Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers

Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers

The Agentic Alpha

16,825 views • 1 month ago

ALICE Agent Deployment is live Users can now deploy their own ALICE AI agent to monitor tokens 24/7 with real-time risk detection. >Lifetime access with 1,000,000 $ALICE >Track up to 10 tokens at once >Live ALICE AI risk analysis every 10 minutes >Seamlessly add and remove tokens as needed >Keep an active $ALICE dashboard running while trading >Access the agent deployment feature instantly by typing "agent" or from the home page >This is autonomous AI security, built to work around the clock—analyzing every risk, every move, in real time. Upcoming integrations will include webhook alerts to Telegram, Discord, and email, expanding how $ALICE delivers intelligence. The future of AI-powered crypto security is here, and this is just the beginning.

ALICE Agent Deployment is live Users can now deploy their own ALICE AI agent to monitor tokens 24/7 with real-time risk detection. >Lifetime access with 1,000,000 $ALICE >Track up to 10 tokens at once >Live ALICE AI risk analysis every 10 minutes >Seamlessly add and remove tokens as needed >Keep an active $ALICE dashboard running while trading >Access the agent deployment feature instantly by typing "agent" or from the home page >This is autonomous AI security, built to work around the clock—analyzing every risk, every move, in real time. Upcoming integrations will include webhook alerts to Telegram, Discord, and email, expanding how $ALICE delivers intelligence. The future of AI-powered crypto security is here, and this is just the beginning.

Alice

18,811 views • 1 year ago

Jensen Huang explains the difference between AI and traditional Software and why there's no bubble. Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool. AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance. This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically. --- From 'FT Live' YT channel (link in comment)

Jensen Huang explains the difference between AI and traditional Software and why there's no bubble. Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool. AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance. This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically. --- From 'FT Live' YT channel (link in comment)

Rohan Paul

761,107 views • 8 months ago