Chainlink has introduced a new product called Data Streams, which delivers live pricing data for major US equities and exchange-traded funds (ETFs) directly onto blockchain networks.

According to an Aug. 4 statement, Data Streams is designed to offer live, low-latency data on major US stocks and ETFs, including popular assets like SPY, QQQ, NVDA, AAPL, and MSFT.

These data streams are now live across 37 blockchain networks, enabling the creation of innovative use-cases such as tokenized stock trading, perpetual futures, and synthetic ETFs.

Chainlink’s data stream

Data Streams aggregate real-time data from multiple primary and backup sources to ensure continuous uptime. This information is processed through Chainlink’s decentralized oracle networks (DONs) and delivered on-chain using a structured format.

Importantly, each data point is timestamped, allowing platforms to differentiate between fresh and outdated prices. This feature also supports the automatic suspension of trading during market closures, ensuring that trading is paused during off-hours.

These innovations enable developers to build advanced financial products like perpetual contracts, lending and borrowing platforms, synthetic ETFs, and other complex financial instruments.

With the RWA market projected to reach $30 trillion by 2030, this infrastructure is becoming increasingly vital for ensuring security and scalability in tokenized equity markets.

Chainlink’s Chief Business Officer, Johann Eid, remarked that Data Streams are essential in bridging the gap between traditional finance and blockchain technology.

According to him:

“This is a significant leap forward for tokenized markets—closing a critical gap between traditional finance and blockchain infrastructure.”

Notably, top DeFi protocols like GMX and Kamino Finance have already adopted Data Streams.

Speaking on the integration, Kamino Finance’s co-founder, Thomas Short, emphasized that Data Streams would help the platform enhance its user experience by providing a seamless interface while maintaining trust and security across supported projects.

He added:

“The launch of Data Streams for US equities and ETFs is a critical milestone toward a truly composable onchain financial system that matches the scale and sophistication of traditional markets.”

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July 17th, 2025 – Zug, Switzerland

Supra, the first vertically integrated Layer-1 blockchain built for Automatic DeFi (AutoFi), today announced its latest expansion in data offerings: native, real-time feeds for key economic indicators, including unemployment rates, Gross Domestic Product (GDP), bond yields, Federal Reserve rates, retail spending, and the Consumer Price Index (CPI).

This expansion enhances Supra’s expansive suite of native price feeds across crypto, FX, equities, ETFs, and commodities, cementing Supra’s role as the most comprehensive onchain data infrastructure for Web3 builders. Supra envisions these new price feeds will motivate developers to combine potentially causal macro factors with price-based analysis to develop compelling strategies.

For the first time, developers and traders on Supra can natively access critical macro-economic data, all cryptographically secured and delivered with the low latency and high reliability that Supra’s oracles are known for. This unlocks a powerful new category of smart contract logic and trading strategies that dynamically respond to both price action and macroeconomic conditions, all in a trustless, verifiable way.

“By adding native economic indicators to Supra’s data stack, we’re enabling dApps, DAOs, and DeFi traders to programmatically incorporate macro-economic variables into their onchain logic, eliminating dependency on centralized data providers or manual offchain integrations,” said Joshua Tobkin, CEO and Co-Founder of Supra. “We’re excited to see what kinds of innovative algorithms and protocols developers will build with these new tools at their fingertips.”

Powering the Next Wave of Intelligent Trading Logic

Supra’s expanded data stack, combining native economic indicator feeds with high-fidelity price feeds and AutoFi capabilities, provides developers with a more robust foundation for developing advanced trading and investment strategies, such as:

• Custom Indexing: Supra’s index generator allows developers to construct onchain indices that combine asset prices and macroeconomic indicators. This allows traders to benchmark or structure products that adjust weights based on economic health, for example, allocating more heavily to risk assets when GDP growth is strong or tilting defensively when macro signals deteriorate.
• Macro-Informed Rebalancing: With native access to timely economic data such as unemployment rates, CPI, or bond yields, smart contracts can automatically rebalance positions to reflect shifts in the broader economy, such as increasing stablecoin allocations during high inflation or adjusting collateral ratios when interest rates move.
• Compound Algorithms: Developers can design algorithms that merge short-term technical signals with macro-economic context, improving robustness across market regimes. For instance, a strategy might only execute momentum trades when macro conditions are supportive, or pause trading entirely when economic stress indicators exceed a certain threshold.
• Event Driven Strategies: Protocols can implement onchain logic that reacts automatically to scheduled macro-economic releases, such as CPI prints, GDP updates, or central bank rate decisions, enabling strategies that hedge, rebalance, or shift exposure precisely when major economic data is published, without relying on manual intervention.
• Dynamic Yield Adjustment: DApps can adjust their staking rewards, borrowing rates, or protocol fees in response to macro-economic conditions like inflation rates or changes in benchmark yields, allowing protocols to maintain stable incentives, protect peg stability, or align returns with real-world monetary trends.

Integrating macro-economic data directly into Supra’s native oracle network represents a significant advancement for decentralized finance, enabling developers to build applications and protocols that systematically adapt to changing economic conditions whilst maintaining trustless execution and verifiable data integrity.

A Future-Proof Data Layer for Web3

Supra’s vertically integrated stack, encompassing smart contracts, native oracle price feeds, verifiable randomness (VRF), automation, cross-chain messaging, and now macro-economic data, empowers developers with everything they need to build at scale without relying on fragmented third-party solutions. Supra can achieve this through its comprehensive, seamlessly integrated toolkit to build the next generation of DeFi, DAOs, and trading protocols.

“Supra is committed to delivering the most accurate, reliable, and comprehensive data infrastructure in Web3,” added Tobkin. “With native economic indicators, we’re giving developers the tools they need to build applications that are not just reactive, but proactive, capable of adapting to a fast-changing world.”

Supra invites developers and traders to explore these new capabilities, now available through Supra’s Developer Hub and API suite. For more information and to start building with Supra’s macro-economic data feeds, users can visit supra.com.

About Supra

Supra is the first chain built for Automatic DeFi (AutoFi), a novel self-operating automated financial system that also serves as the perfect framework for crypto AI Agents, built upon its vertically integrated Layer-1 blockchain with built-in high-speed smart contracts, native price oracles, system-level automation and bridgeless cross-chain messaging.

Supra’s vertical stack unlocks all-new AutoFi primitives that can generate fair recurring protocol revenue and redistribute it across the ecosystem, reducing reliance on inflationary block rewards entirely over time. This stack also equips onchain AI Agents with all the tools they need to run a wide variety of powerful DeFi workflows for users automatically, autonomously, and securely. 

Contact

Press Manager
press@supra.com

Coinbase has announced a new partnership with the AI search platform Perplexity to provide traders direct access to reliable, real-time crypto market data.

Coinbase CEO Brian Armstrong shared the update on July 10 via social platform X, confirming that Phase 1 of the integration is now live.

According to him, Perplexity is currently ingesting Coinbase’s live market data—including the COIN50 index—to support crypto price discovery and analysis. This allows users to explore real-time market shifts using Perplexity’s new browser, Comet.

He furthered that this feature helps traders “double-click” into price movements for deeper insight and smarter decisions.

The Coinbase CEO added:

“This new access to reliable real-time data via increasingly intelligent LLMs will help lots more people make smart, informed decisions about crypto. It’s a great step forward!”

Armstrong also stated that the Perplexity team has noted that user engagement with crypto topics now matches interest in equities. This reflects the growing mainstream relevance of digital assets.

AI-powered trading tools

Armstrong pointed out that in Phase 2 of the rollout, Coinbase’s market data will power Perplexity’s AI-generated responses for its users’ queries.

This next step will introduce a conversational interface that enables traders to screen for potential opportunities, monitor token-specific activity, and interpret trends. All of this will be available within a single AI-enhanced platform.

Aravind Srinivas, Perplexity CEO, also confirmed this, saying:

“[We have partnered] Coinbase to bring in real time crypto data into Perplexity Finance! We will begin to surface this directly into user queries shortly.”

The integration is being facilitated by CoinbaseDev, Coinbase’s developer-friendly infrastructure for data access and app-building.

Meanwhile, Armstrong expressed optimism about this initiative’s broader implications. He noted that integrating accurate, real-time crypto data with large language models could catalyze the next wave of innovation.

The Coinbase CEO also hinted at a future where crypto wallets are fully integrated into AI systems. He described this as a significant move toward a permissionless, digital economy.

Mentioned in this article

Key takeaways

• Grok scans real-time sentiment on X to detect early crypto trends, including meme coin momentum and macro reactions.

• Traders have used Grok-style setups to track tokens like TURBO, ORDI and FET before price moves occurred.

• Unlike chart-based tools, Grok captures emotional tone and crowd narrative shifts across thousands of posts.

• When paired with ChatGPT, Grok helps surface signals, while ChatGPT assists in strategy design and automation logic.

• While useful for sentiment parsing, Grok doesn’t execute trades, interpret charts or manage risk — it works best as a signal assistant.

Why Grok is getting attention from crypto traders

Many retail traders still rely on news alerts, influencer posts or Discord trading groups to stay ahead of the market. While these sources can offer signals, they’re often delayed or shaped by social bias. In fast-moving crypto environments, that delay can mean missing the window to act.

Grok, the conversational AI developed by Elon Musk’s xAI and embedded into X, is being explored by some traders as a way to monitor sentiment shifts more efficiently. Unlike traditional tools, Grok has direct access to live X data, enabling it to interpret real-time conversations, track trending token mentions, and detect early signs of narrative movement.

Some developers are testing Grok in conjunction with other AI tools to surface high-frequency mentions or emotional keywords tied to memecoins and altcoins. One post in a crypto dev forum describes an experimental setup where Grok flagged repeated FLOKI mentions from verified users shortly before a price move. While still experimental, these use cases show how sentiment parsing on X can inform short-term trading decisions.

Instead of acting as a trading strategy on its own, Grok is being used as a tool to enhance awareness of market mood, especially for assets driven more by social engagement than fundamentals.

What is Grok?

Grok is a conversational AI model developed by xAI, Elon Musk’s artificial intelligence company. It is currently available to X Premium+ users, where it integrates with the X platform to provide direct access to trending content and public conversations in real time.

Unlike traditional AI assistants like ChatGPT, which rely on processed or external data feeds, Grok can tap into live user discussions, sentiment flows and viral trends as they unfold. This makes it particularly useful for tracking crypto sentiment, especially for assets that react to narrative momentum, including memecoins, altcoins and even Bitcoin (BTC) during key macroeconomic events.

Why Grok matters for crypto traders

Let’s break it down with a real-world scenario:

• On March 13, 2024, Musk posted a meme featuring Pepe the Frog. Shortly afterward, the price of the Pepe (PEPE) cryptocurrency jumped by 12.2%, breaking the $0.000009 mark. While this timing drew attention, it’s important to note that correlation doesn’t imply causation. The price movement may have been influenced by broader memecoin activity, technical setups or other social factors, not just the meme post itself.

• By the time the news reached Telegram groups and aggregators, the entry window had already passed.

Now imagine Grok:

• Reading that influencer’s post instantly

• Parsing community replies to determine sentiment polarity

• Matching it to previous patterns of similar pump setups

• Triggering a “high social spike” alert for meme coins.

Traders have begun experimenting with Grok for sentiment-driven trading setups by connecting it to real-time X data via unofficial APIs or scraping tools. Spikes were defined as a 5x increase in token mentions over a four-hour period across verified or high-engagement accounts, while hints included repeated mentions of partnership rumors, macro triggers or keyword anomalies like “rate cut” or “whale buy” linked to specific tokens.

How to use Grok for sentiment, signals and macro insights

If you’ve traded crypto during a meme cycle, you know how fast sentiment shifts and how slow most tools are to pick it up. Grok changes that. Thanks to its direct integration with X, it can scan thousands of posts, hashtags and comment threads as they happen. When used strategically, Grok becomes a tool not just for reading sentiment but for trading it.

Here’s how crypto traders are starting to use Grok in practical ways.

Sentiment monitoring in real time

Grok actively scans crypto posts on X for market-moving phrases and sentiment anomalies, such as “floor is in,” “massive unlock,” “whale dump” or “rate cut confirmed.” It goes beyond surface-level mentions to decode context, emotional tone and intent in each post.

By leveraging X’s API, some traders are experimenting with Grok to:

• Track early sentiment in lesser-known tokens before price action begins: In April 2024, mentions of TURBO increased across X, driven by developer discussions and previews of upcoming features. This shift preceded a 22% price rally roughly 36 hours later, suggesting sentiment tools can expose momentum ahead of chart-based signals.

• Gauge emotional volatility around macro news events: During the March 2024 US Federal Open Market Committee update, Grok-powered setups flagged rising anxiety around BTC. Traders noted that crowd sentiment turned negative before the actual dip occurred, helping some adjust positioning earlier than usual.

• Spot sentiment divergence, where engagement rises but price lags (or vice versa): In February 2024, community chatter around FET spiked, while the price remained flat. Some early traders used this mismatch as an entry cue, preceding a breakout two days later.

Unlike traditional keyword scanners, Grok applies deep sentiment parsing and real-time X integration, capturing nuance during high-impact events like Consumer Price Index (CPI) drops, exchange-traded fund (ETF) rumors or influencer U-turns.

Below is an example output from a custom sentiment parser built using Grok’s access to X, analyzing 12 posts about Bitcoin (BTC) in a six-hour window. The data set included posts from high-profile accounts like Whale Alert and Michael Saylor, as well as smaller influencers commenting on BTC leverage, short-term trading and macro comparisons. The goal was to measure the emotional and directional tone of real-time crypto sentiment during a volatile trading session.

X feed signal parsing

Thanks to its integration with X, Grok can detect momentum the moment certain content begins trending. Traders experimenting with Grok-like setups use it to:

• Track token mentions gaining traction, such as sudden increases in usage of a specific ticker (e.g., “$FET” or “$TURBO”) across multiple verified or active accounts within a short window.

• Monitor influencer activity tied to specific tokens, such as when a high-following account hints at a listing, partnership or price outlook, especially when combined with above-average engagement like repost surges or rapid reply chains.

For example, during a 24-hour window in February 2024, the number of posts mentioning “$ORDI” jumped to over 400 from under 50, led by influential traders discussing potential listings. Grok-style sentiment tools flagged this spike in narrative velocity well before price reflected the attention.

By analyzing these types of real-time social signals, Grok enables users to spot early momentum shifts across crypto communities. This allows traders to evaluate developing narratives while they’re still taking shape rather than reacting after they hit aggregator sites or news feeds. 

Macro awareness for high-timeframe trades

Grok AI enables traders to track real-time sentiment around macroeconomic events like CPI releases, interest rate decisions and crypto regulations.

For example, following the December 2024 US Consumer Price Index (CPI) report, which showed an annual inflation rate of 2.9%, Bitcoin briefly crossed $98,500. This movement aligned with market expectations and was interpreted by some analysts as a bullish signal for risk assets, reflecting optimism about potential Federal Reserve rate cuts. 

By parsing crowd-level data in real time, Grok often provides a clearer picture of market positioning than traditional headlines. This insight can help traders time capital rotations between BTC, stablecoins or altcoins more effectively, especially when market sentiment shifts rapidly post-macro events.

Grok vs. ChatGPT for crypto trading

Grok and ChatGPT are both AI tools being explored for crypto analysis, but they serve different functions. For traders, analysts or researchers looking to improve decision-making, understanding where each tool fits can help streamline different parts of the workflow.

Grok is integrated with X and is available to X Premium+ users. Its key strength is real-time sentiment parsing. It can track public posts, monitor trending discussions, and flag early signals based on community chatter. This makes it useful for identifying potential momentum shifts tied to market narratives, token mentions or macroeconomic events.

ChatGPT, on the other hand, is more effective for structured analysis. It doesn’t access live social feeds unless connected to APIs or plugins. However, it can explain trading strategies, summarize research and interpret technical indicators based on user inputs. This makes it suitable for backtesting concepts, understanding token mechanics or generating trade logic for bots.

Developers in AI trading communities often pair both tools — using Grok to identify emerging trends from real-time sentiment and ChatGPT to refine strategies, simulate scenarios, or build automation logic around those signals.

Data access: Real-time vs. processed knowledge

Grok has a major advantage when it comes to real-time information. Because it’s embedded directly into X, Grok can scan live posts, community reactions and trending content as it happens. That makes it incredibly useful for:

• Capturing sudden sentiment shifts

• Spotting viral token mentions before price moves

• Reacting to breaking macro or regulatory news.

ChatGPT, on the other hand, doesn’t have live feed access unless you connect it to external tools (like a browser plugin or API). Its strength lies in structured analysis, explaining trading strategies, running conceptual backtests or summarizing white papers.

• If you need fast input from the crypto crowd, Grok wins.

• If you need structured insight or technical breakdowns, ChatGPT is your tool.

Sentiment vs. strategy

Grok is particularly effective at analyzing real-time social narratives across crypto communities. It’s ideal for:

• Crypto sentiment from X

• Identifying early crypto signals from trending posts and community chatter

• Identifying memecoin rotations and community-driven pumps

• Gauging macro reaction in real time.

ChatGPT is more effective for:

• Writing or debugging trading bots

• Explaining concepts like liquidation cascades or funding rates

• Developing AI-powered crypto trading strategies.

For example, the AI4Crypto GitHub repo includes scripts integrating Grok sentiment with backtesting logic via ChatGPT. These experimental setups are becoming more common in open-source quant groups, while ChatGPT is used to draft trading logic or simulate responses. These paired setups are becoming more common in open-source quant groups and AI-based trading experiments.

Speed of deployment

Grok is designed to be reactive. It detects signals the moment they start trending. This has led developers in the crypto automation space to experiment with building auto-trading alerts that respond to Grok-identified sentiment spikes.

ChatGPT, by contrast, requires more setup. Unless integrated with real-time APIs, it works best with questions grounded in historical or static data.

That’s not a flaw — it’s intentional. Grok acts as a market listener; ChatGPT functions as a strategy explainer.

Risks, limitations and what Grok can’t do for crypto traders

As promising as Grok is, it’s important to understand its boundaries. Traders experimenting with AI often run into issues not because the tool is bad, but because they expect it to do everything.

Grok can enhance your workflow, but it’s not a plug-and-play magic signal generator.

No trade execution logic

Unlike a crypto bot connected to an exchange, Grok doesn’t execute trades or manage positions. It can alert you to rising sentiment or narrative shifts, but it won’t know whether your strategy is risk-on or risk-off.

Some traders are building Grok-connected scripts for trade alerts, but these setups still require manual review or pairing with third-party execution platforms.

Bottom line: Grok is a signal scout, not a full-stack trading engine.

No charting or technical indicator awareness

Grok 3 has introduced early-stage support for parsing some market data and basic chart patterns, but it still lacks full technical analysis (TA) capabilities. For precise TA, traders should still rely on tools like TradingView or dedicated bots. That’s a major difference from tools like ChatGPT, which can explain and simulate trading strategies using TA logic.

So, while Grok might tell you, “SHIBA is trending,” it won’t say, “This is a bullish flag on the 4H.” For that, you’ll still need TradingView, CoinGlass or a hybrid AI setup.

Susceptible to noise and manipulation

Because Grok pulls directly from X, it’s reading unfiltered public data, which can include misinformation, coordinated shilling or sentiment spoofing.

During memecoin cycles, it’s common for groups to artificially inflate mentions, hype or fake news. If Grok is used without filtering or human context, it might flag these as bullish signals when they’re just exit liquidity traps.

This is one of the biggest risks of trading with Grok AI: You’re relying on the crowd’s words, not the market’s confirmations.

Limited depth on altcoins

While Grok is strong at identifying trending topics, it struggles when sentiment data is thin. For smaller altcoins with low visibility or limited community discussion, Grok may return weak or irrelevant signals.

Traders using Grok for niche decentralized finance (DeFi) or microcap tokens may get better results by pairing it with crypto technical analysis software or onchain tools like Nansen.

No built-in risk management

Grok doesn’t know your portfolio size, stop-loss level or risk tolerance. It won’t warn you that you’re overexposed, chasing pumps or trading against a trend.

This is where most new traders overestimate AI. AI-powered crypto trading strategies still require a human layer of risk control. Grok might tell you what’s hot, but it’s your job to decide if it’s worth chasing.

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

June 9th, 2025 – Sydney, Australia

With the support of Galaxy Ventures and previous investment from notable industry leaders like Vitalik Buterin, RISE sets out to solve the blockchain adoption challenge with its exponentially faster blockchain technology; offering real-time performance of as low as 5ms latency and a 100k TPS target, while maintaining a decentralization-first roadmap.

RISE, a real-time blockchain scaling Ethereum with record throughput and ultra-low latency, announced a $4 million investment from Galaxy Ventures, bringing total funds raised to date to $8 million. This latest funding round will enable RISE to continue to push the boundaries of blockchain performance and develop the next generation of blockchain applications.

Offering instant transaction speeds is a key pillar of bringing more assets, enterprises, and users onchain, but building a blockchain that provides this has been difficult to date. RISE, a new blockchain built on top of Ethereum, solves this with its breakthrough transaction architecture, powered by Shreds which enable record-breaking latency as low as 5-milliseconds. This is especially significant for advanced DeFi use cases such as orderbook strategies, options, high-frequency trading, and market making. RISE launched its public testnet earlier this month, which has already undergone significant battle testing, reaching over 2 billion transactions, including over 50,000 transactions processed in a single 1-second block. This enables developers to experiment and build onchain apps that operate with a new standard of performance, introduced as “Infinite Speed”: real-time performance, decentralized.

By rethinking blockchain design from first principles, RISE addresses a fundamental tradeoff where low latency and high throughput previously required compromising decentralization. Competing blockchains often rely on centralized approaches, introducing censorship risk and single points of failure. RISE was built from day one to deliver unstoppable performance without sacrificing decentralization, enabling real-time transactions on widely accessible, standard hardware. RISE will also implement performance-compatible based sequencing to leverage Ethereum’s vast network of validators and unlock synchronous composability between Ethereum and RISE.

Key Differentiators of RISE:

• Shreds: Sub-blocktime transaction confirmations enabling as low as 5ms round-trip latency
• Scalable Throughput: Currently benchmarked at over 50,000 TPS, with plans to exceed 100,000 TPS
• Based Sequencing (Coming Soon): Unlocking a true extension of Ethereum and solving liquidity fragmentation for users
• Secured Shreds (Coming Soon): Preconfirmations economically secured by Ethereum Validators, significantly improving the security profile

“Performance is only meaningful if it lasts,” said Sam Battenally, co-founder and CEO of RISE. “RISE was built to stay fast—forever. This investment from Galaxy Ventures underscores the need for infrastructure that doesn’t just scale technically, but scales trustlessly. We’re excited to accelerate toward mainnet and bring the next generation of crypto apps into reality.”

RISE will use the funding to support product and app development in the lead-up to mainnet launch. Builders can explore the testnet now at portal.risechain.com.

“RISE is the first project we’ve seen that addresses the scalability trilemma without material security tradeoffs,” said Neil Bhuta, Investor at Galaxy Ventures. “It brings a level of speed, scalability, and decentralization that is essential to supporting a new generation of high-performance applications. We’re proud to back a talented team that is pushing the boundaries of blockchain technology.”

About RISE

RISE is a next-generation Ethereum Layer 2 blockchain redefining performance with “Infinite Speed”—delivering instant transaction confirmation at unprecedented scale, while upholding Ethereum’s core principle of decentralization. Its architecture enables as low as 5ms latency and will support over 100,000 TPS, unlocking a radically improved experience for both developers and users. Seed investors include Ethereum co-founder Vitalik Buterin and AAVE founder Stani Kulechov. For more information, users can visit https://risechain.com/.

Contact

Co-Founder and CEO
Sam Battenally
RISE Labs
sam@riselabs.xyz