Coinbase CEO Brian Armstrong has said his company’s most ambitious vision is to replace traditional banks by turning Coinbase into a full-service crypto “super app.”
Speaking during a recent interview with Fox Business, Armstrong confirmed the company’s plans to offer a full suite of financial services, from payments to credit cards and rewards, all powered by crypto rails.
“Yes, we do want to become a super app and provide all types of financial services,” Armstrong said. “We want to become people’s primary financial account and I think that crypto has a right to do that.”
Armstrong criticized the current banking system as outdated and inefficient, pointing out high transaction fees as one of the main pain points. “It kind of boggles my mind. Like, why are we paying two to three percent every time we swipe our credit card?” he asked. “It’s just some bits of data flowing over the internet. It should be free or close to it.”
Armstrong says Coinbase aims to become the primary financial account. Source: Brian Armstrong
The Coinbase CEO said the long-term goal is to offer better services across the board, including a credit card with 4% Bitcoin (BTC) rewards. “Ultimately, we want to be a bank replacement for people,” he said.
The push for a super app comes amid growing regulatory clarity in the US. Armstrong praised recent legislative wins such as the GENIUS Act and the progress of broader market structure legislation in the Senate, noting that the “freight train has left the station” regarding regulatory clarity.
“We’ve partnered with banks like JPMorgan and PNC,” Armstrong noted, “but their policy folks sometimes are doing a different playbook. We’d rather that they just operated on a level playing field with every other company.”
As Cointelegraph reported, Coinbase has integrated decentralized lending protocol Morpho into its app, enabling users to lend USDC (USDC) directly without needing third-party DeFi platforms. The move allows users to potentially earn yields as high as 10.8%.
The rollout comes amid tensions around yield-bearing stablecoins, which were banned under the GENIUS Act. Bank-backed groups like the Bank Policy Institute have called for regulators to close perceived loopholes that allow yield through third-party DeFi integrations.
The FTX Recovery Trust, the entity overseeing the distribution of funds from the bankrupt crypto exchange, announced a third tranche of distributions to creditors, worth about $1.6 billion.
According to a Friday announcement, the distribution is scheduled for Sept. 30, and creditors should receive the funds in their accounts within three business days of the payment date.
The third distribution includes a 6% payout for Dotcom Customer claims, a 40% distribution for US Customer Entitlement Claims and a 24% distribution for General Unsecured Claims and Digital Asset Loan Claims. Convenience claims will receive a 120% reimbursement as part of September’s payout.
The collapse of the FTX exchange in 2022 sent shockwaves through the crypto world and deepened the crypto bear market that began at the start of that year. Traders and investors continue to monitor the FTX Recovery Trust’s reimbursements for possible impacts on the crypto markets.
Former FTX CEO Sam Bankman-Fried to appeal his conviction in November
In November 2023, Sam “SBF” Bankman-Fried, the founder and former CEO of FTX, was found guilty on seven charges, including wire fraud, wire fraud conspiracy, securities fraud, commodities fraud conspiracy and money laundering conspiracy.
Bankman-Fried was sentenced to 25 years in prison in March 2024. Judge Lewis Kaplan, who oversaw the trial and sentenced Bankman-Fried, characterized the collapse of the exchange and SBF’s role in the implosion as a “serious” crime that warranted decades behind bars.
Attorneys for Bankman-Fried are set to appeal his conviction in November, arguing that the he did not receive a fair trial because he was assumed guilty at the outset.
The attorneys also argued that FTX was never insolvent and always had the funds to meet its obligations and reimburse customers and creditors.
Bitcoin faced significant resistance at $117,500, indicating that the bears are unlikely to give up easily.
Several major altcoins tried to break above their overhead resistance levels, but the bears held their ground, signaling selling on rallies.
Bitcoin (BTC) continues to face significant resistance near $117,500, but a positive sign is that the bulls have kept up the pressure. That suggests the buyers are not rushing to the exit as they anticipate a move toward the all-time high of $124,474.
BTC researcher Axel Adler Jr. said in a post on X that the “market is neither overheated nor oversold” at the current level. That could result in one to two weeks of consolidation before BTC rises to a new all-time high.
Several analysts expect BTC to hit a new all-time high. Into The Cryptoverse founder Benjamin Cowen said in an interview that the rally could peak quickly after making a new high. Once the top is in, Cowen does not rule out a 70% fall in the next bear market.
Could BTC break out of its overhead resistance, pulling altcoins higher? Let’s analyze the charts of the top 10 cryptocurrencies to find out.
Bitcoin price prediction
BTC pierced the $117,500 overhead resistance on Thursday, but the bulls could not sustain the higher levels.
The upsloping 20-day exponential moving average (EMA) ($114,457) and the relative strength index (RSI) in the positive territory suggest the path of least resistance is to the upside. A close above $117,500 opens the gates for a rally to $124,474.
Contrary to this assumption, a break below the 20-day EMA signals that the bulls are closing their positions in a hurry. The BTC/USDT pair could then drop to $110,000, remaining inside the $107,000 to $117,500 range for a while longer.
Ether price prediction
Ether (ETH) has formed a symmetrical triangle pattern, indicating indecision between the buyers and sellers.
If the price turns down and breaks below the support line, it signals that the uncertainty has resolved in favor of the bears. The ETH/USDT pair could collapse to $4,060 and, after that, to the pattern target of $3,426.
Buyers will be back in the driver’s seat if they kick the price above the resistance line. That improves the prospects of the resumption of the uptrend. The Ether price could then rally toward the pattern target of $5,586.
XRP price prediction
XRP (XRP) turned up from the 20-day EMA ($2.99) on Tuesday, but the bulls could not clear the overhead barrier at $3.20.
The bears are striving to pull the price below the moving averages to seize control. If they succeed, the XRP/USDT pair could descend toward the strong support at $2.73. Such a move suggests the breakout above the downtrend line was a bull trap. A close below $2.69 will complete the bearish descending triangle pattern, clearing the path for a fall to $2.20.
The bulls will have to push and sustain the price above $3.20 to signal a short-term trend change. The XRP price may then ascend to $3.40 and eventually to $3.66.
BNB price prediction
BNB (BNB) jumped over the psychological level of $1,000 on Thursday, indicating sustained demand from the bulls.
The bears will try to defend the $1,000 level, but if the buyers prevail, the BNB/USDT pair could extend the rally to $1,090.
The 20-day EMA ($915) is the critical support to watch out for on the downside. If the price rebounds off the 20-day EMA, the bulls will again try to resume the up move.
Sellers will have to pull and sustain the price below the 20-day EMA to signal strength. The BNB price may then collapse to the 50-day simple moving average (SMA) ($855).
Solana price prediction
Solana (SOL) turned down from $253 on Thursday, indicating that the bears are aggressively defending the $260 level.
The pullback is likely to find support at the 20-day EMA ($225). If the price rebounds off the 20-day EMA with force, the bulls will again attempt to clear the overhead hurdle at $260. If they manage to pull it off, the SOL/USDT pair could skyrocket toward $295.
Contrarily, a break and close below the 20-day EMA suggests the bulls are booking profits. That could pull the Solana price to the uptrend line, which is likely to attract buyers.
Dogecoin price prediction
Dogecoin (DOGE) turned up from the $0.26 level on Tuesday, but the bulls are facing stiff resistance from the bears at $0.29.
If the price rebounds off the $0.26 level again, it shows that the bulls are buying on every minor dip. That increases the likelihood of a break above $0.31. If that happens, the DOGE/USDT pair could start a new up move to $0.35 and subsequently to $0.44.
Alternatively, a break below the 20-day EMA ($0.25) suggests that the bulls have given up. The Dogecoin price may then tumble to the 50-day SMA ($0.23). That could keep the pair range-bound between $0.21 and $0.29 for some time.
Cardano price prediction
Cardano (ADA) turned down from the resistance line of the symmetrical triangle pattern, signaling that the bears are fiercely defending the level.
If the price rebounds off the 20-day EMA ($0.87), it shows buying on dips. That enhances the prospects of a break above the resistance line. If that happens, the ADA/USDT pair could surge to $1.02 and later to $1.17.
This positive view will be invalidated in the near term if the Cardano price turns down sharply and plunges below the support line. That indicates the bears have overpowered the bulls. The pair may then slump toward $0.68.
The RSI is showing early signs of forming a bearish divergence, signaling that the bullish momentum may be weakening. Sellers will gain the upper hand if they pull the Hyperliquid price below the 20-day EMA ($52.30). That opens the doors for a fall to $49.88 and thereafter to the 50-day SMA ($46.41).
Buyers are likely to have other plans. They will attempt to defend the 20-day EMA on the way down. If the HYPE/USDT pair turns up sharply from the 20-day EMA, the bulls will try to start the next leg of the uptrend toward the pattern target of $64.25.
Chainlink price prediction
Chainlink (LINK) turned up from the 50-day SMA ($22.69) on Wednesday, but the bulls are facing stiff resistance at the downtrend line.
The 20-day EMA ($23.71) is flattening out, and the RSI is near the midpoint, indicating a balance between supply and demand. Buyers will have to thrust and sustain the Chainlink price above the downtrend line to clear the path for a rally toward the $27 level.
On the downside, a break and close below the 50-day SMA signals that the bears are back in the game. The LINK/USDT pair could then plummet to the uptrend line, where the buyers are expected to step in.
Avalanche price prediction
Avalanche (AVAX) broke out of the large $15.27 to $27.38 range on Sept. 10, indicating the start of a new uptrend.
The rally pushed the RSI into the overbought zone, signaling a possible consolidation or correction in the near term. Sellers are trying to halt the up move at the overhead resistance of $36.17.
A shallow pullback will suggest that the bulls are holding on to their positions as they anticipate the up move to continue. If buyers pierce the $36.17 level, the AVAX/USDT pair could rally toward the pattern target of $39.49 and then to $45. This optimistic view will be negated in the near term if the Avalanche price turns down and breaks below the 20-day EMA ($28.78).
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.
Amid growing interest in practical ways to scale and safeguard blockchains, hardware‑based approaches are coming into focus. The role of Trusted Execution Environments (TEEs) in blockchain systems has gradually expanded from privacy-preserving projects to applications that improve scalability and enable secure offchain computation. Currently, over 50 teams are working on TEE-based blockchain projects. In this article, Cointelegraph Research explores the technical foundations of TEEs in blockchain systems and examines key use cases of this technology.
Mechanics of TEEs in blockchains
Most blockchain technology relies on cryptography and distributed computing to maintain security. TEEs add a different approach, namely, hardware-level trust.
A Trusted Execution Environment is an isolated area within a device processor that is designed to keep data and code tamper-proof and confidential during execution. The resulting secure enclave is inaccessible to the rest of the operating system and can prove to third parties through remote attestation what instructions it is executing.
To do this, the CPU measures the Trusted Computing Base, which includes the boot firmware, operating system kernel and application binaries and saves it into secure hardware registers. It then signs this measurement using a private attestation key embedded in the CPU. This produces a cryptographic attestation report that a remote verifier can check to confirm the enclave’s authenticity and integrity.
Leveraging this hardware-level trust for confidential smart contract execution requires that blockchain nodes use chips with a TEE. This requirement typically applies to nodes that are responsible for transaction as well as block validation and offchain computation. In a layer-1 setup, consensus nodes continue to replicate an encrypted version of each contract’s state as part of the global ledger.
Each of the nodes contains a TEE that replicates the decryption, plaintext execution and reencryption of every transaction. This hardware dependence introduces a trade-off between enhanced privacy and a smaller validator set. Fewer people can run nodes if specific hardware is required. However, the additional trust this requires is partially traded off by the remote attestation TEEs can provide.
An alternative design is a layer-2 scheme wherein TEE computations are not secured by distributed consensus, but by a dispute resolution mechanism, as seen in rollups. This approach uses a similar encryption pipeline to an L1 setup but can help improve scalability. However, most layer-2 systems lose contract interoperability since they are executed on separate machines, which means contracts cannot call each other.
TEEs use standard asymmetric cryptography to obfuscate function calls and smart contract code. Function calls are encrypted with the TEE’s public key before being submitted to the blockchain, decrypted in the enclave and executed.
Secret Network, built with the Cosmos SDK and Intel SGX, was the first blockchain to have private smart contracts facilitated by TEEs. Secret Contracts allow developers to build confidential DeFi apps, which hide contract logic, inputs, outcomes and state, but not the addresses. It also enables the creation of Secret Tokens, whose balances and transaction history remain confidential and are visible only to their owners or explicitly authorised smart contracts.
Vulnerabilities of trusted execution environments
Private smart contract execution depends on the trustworthiness of the TEE hardware manufacturer. While it is doubtful that a corporation such as Intel would jeopardize its reputation with a targeted attack on blockchain systems, Intel’s Management Engine (IME), an autonomous system embedded in most Intel CPUs since 2008, has contained multiple serious vulnerabilities over the years.
TEE vendors may fall under government influence to introduce backdoors, comply with surveillance mandates or provide access to encrypted data under national security laws. Accidental vulnerabilities could also undermine the security of a TEE. For example, the Plundervolt attack exploited Intel’s dynamic voltage interface to induce computation faults inside SGX enclaves, which enabled attackers to bypass integrity checks and extract keys and secrets from encrypted memory.
Private smart contract execution with TEEs
To enable privacy-preserving DApps, smart contracts must execute in a way that keeps both logic and data confidential. To read and run confidential smart contract code, TEEs can access the keys required to decrypt contract data.
If these keys are ever compromised, an attacker could decrypt previously stored contract data. To avoid this, Trusted Execution Environments use distributed key management that splits key control across multiple trusted nodes and frequently rotates short-term keys to limit the impact of a breach.
Ekiden was the first to design such a system, and it served as a basis for similar models on other blockchains. The most sensitive keys are managed by the KMC (key-management committee, which is a group of the most trusted nodes) with threshold cryptography. The committee’s shares are proactively reshared to rotate who holds which share. Meanwhile, individual worker nodes hold limited-access short-lived keys tied to specific tasks.
These keys are issued by the KMC for each contract and expire at the end of every epoch. To obtain a key, a worker node must first prove its legitimacy to the KMC through secure channels. Each KMC member then generates a key share using a pseudo-random function and transmits it to the node, which reconstructs the full key once it has collected a sufficient number of shares.
If a KMC node is compromised, its access can be revoked through governance, and it will be excluded from future epochs. This reduces the potential impact of a breach, though not eliminating it entirely. When a confidential contract is deployed, its enclave generates a fresh public key and publishes it on the blockchain along with the contract code and encrypted initial state.
Users who later call the contract retrieve this key to encrypt their inputs before sending them to the compute node. To guarantee authenticity, the node also provides a signing key bound to the enclave via attestation when it starts up.
Other use cases of TEEs in blockchains
Beyond private smart contract execution, TEEs can significantly improve blockchain scalability and efficiency. TEE-enabled nodes can securely execute computationally intensive tasks offchain and submit the results onchain. Thus, applications can offload computational overhead from the blockchain layer to the trusted offchain environment. This can help reduce gas costs and increase the overall throughput of the chain.
IExec is one of the largest decentralized cloud computing platforms that uses Trusted Execution Environments for offchain computations. It uses Intel SGX-based enclaves to offload and isolate computation from the blockchain.
A requester, usually a smart contract or user, can purchase a confidential computation as a task onchain. The blockchain then notifies worker nodes to execute the task inside a secure enclave. Before execution proceeds, the enclave generates an attestation report containing cryptographic evidence of the enclave’s code and configuration.
This report is sent to a Secret Management Service, which verifies the enclave’s integrity and authenticity. Only if the enclave passes this verification does the actual computation begin.
Trusted execution environments can also be used to provide an MEV-proof blockchain infrastructure. Unichain, an optimistic rollup on Ethereum developed by the Uniswap team and launched in October 2024, leverages TEEs in its block-generation process. Its block builder, developed in collaboration with Flashbots, uses TEEs to construct blocks within a protected enclave.
When routed to the TEE builder, transactions are filtered, priority-ordered and bundled into Flashblocks. This allows Unichain to achieve 1-second block times, with plans to introduce 250-millisecond sub-blocks and improve transaction ordering. Block building within TEEs helps to reduce MEV extraction because mempool transactions remain encrypted. With these features, Unichain aims to build a DeFi-designated blockchain.
Conclusion
Trusted execution environments on blockchains are gaining momentum as developers seek more efficient privacy solutions. TEEs have the potential to shape the future of decentralized applications with low-cost and high-latency secure computation. Despite their potential, TEEs are not yet natively supported by most blockchains due to hardware requirements and trust assumptions.
In the future, we expect use cases of TEEs to expand from privacy-preserving applications and become focused on scalability solutions for blockchains and offchain computation for decentralized applications. This shift is driven by the emergence of more computationally demanding DApps, such as decentralized AI applications. TEEs may facilitate these use cases with low-cost, high-performance offchain computation.
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.
This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.
Cointelegraph does not endorse the content of this article nor any product mentioned herein. Readers should do their own research before taking any action related to any product or company mentioned and carry full responsibility for their decisions.
US President Donald Trump-backed crypto project World Liberty Financial passed a governance proposal to reduce the supply and boost the value of its native cryptocurrency following its disappointing price performance since launch.
On Thursday, the Trump family-backed platform passed a governance vote that seeks to use 100% of the project’s treasury’s liquidity fees for World Liberty Financial (WLFI) token buybacks and burns, meaning permanently removing the tokens from circulation.
The vote passed with a 99.8% majority, while only 0.06% of the community voted against the proposal, which will serve as the “foundation” of the platform’s token buyback strategy, according to data from WorldLibertyFinancial.com.
Similar mechanisms seek to reduce the circulating supply of a token and create more demand through buybacks.
“This program removes tokens from circulation held by participants not committed to WLFI’s long-term growth and direction, effectively increasing relative weight for committed long-term holders,” the governance proposal stated.
Proposal to use 100% of WLFI treasury liquidity fees for buybacks and burns. Source: WorldLibertyFinancial.com
After the proposal, WLFI will collect its liquidity positions on Ethereum, BNB Chain and Solana, which will be used to buy back WLFI tokens on the open market. Purchased tokens are sent to a burn address for permanent removal from circulation.
However, the proposal still lacks estimates on the amount of fees generated by the platform, making it difficult to estimate the potential market impact of the buybacks.
The governance vote was passed nearly three weeks after the official launch of the WLFI token on Sept. 1, which resulted in a 40% price decline within the first three days of its launch, causing millions of dollars of losses for whales, Cointelegraph reported on Sept. 4.
The decline occurred despite the WLFI platform burning 47 million tokens on Sept. 3, a move that could not halt the token’s post-launch decline.
WLFI/USD, all-time chart. Source: CoinMarketCap
The WLFI token is down over 28% since launch and traded at $0.2223 at the time of writing, CoinMarketCap data shows.
WLFI to explore additional protocol revenue sources for token buybacks
The governance proposal marks the “foundation” of the project’s ongoing buyback strategy.
WLFI will also explore additional sources of protocol revenue to increase the scale of WLFI buybacks and burns.
Cointelegraph contacted WLFI to find out more about the additional protocol revenue sources and the potential magnitude of the first token buyback, but had not received a response by publication.
Former kickboxing champion and controversial influencer Andrew Tate was among the investors who took a loss on the WLFI token. Tate realized a $67,000 loss on his WLFI long position on decentralized exchange Hyperliquid, as his cumulative losses neared $700,000 on his account, Cointelegraph reported on Sept. 2.
Still, the crypto venture is proving lucrative for the Trump family, which saw its collective wealth increase by a reported $1.3 billion in the week leading up to Sept. 7, with the trading debut of mining company American Bitcoin (ABTC) and the gains from the WLFI platform.
XTZ price trades at $0.78 with bullish MACD divergence despite 0.49% daily decline. Technical indicators suggest consolidation phase ahead.
Quick Take
• XTZ currently trading at $0.78 (-0.49% in 24h)
• Tezos MACD histogram shows bullish momentum building despite price decline
• No significant news catalysts driving current price action
What’s Driving Tezos Price Today?
The XTZ price movement today appears largely driven by technical factors rather than fundamental news, as no significant developments have emerged in the past week. This absence of major catalysts has left Tezos trading within a relatively narrow range, with the cryptocurrency experiencing modest selling pressure that pushed it down 0.49% over the past 24 hours.
The current price action reflects broader market consolidation patterns, with XTZ/USDT maintaining its position above key moving averages despite the minor pullback. Trading volume on Binance spot reached $4.43 million, indicating moderate interest from both institutional and retail participants.
XTZ Technical Analysis: Bullish Signals Emerge
The Tezos technical analysis reveals a compelling mix of indicators that suggest underlying strength despite today’s price decline. Tezos’s Daily RSI sits at 52.75, placing the XTZ RSI firmly in neutral territory and indicating room for movement in either direction without immediate overbought or oversold concerns.
The most significant bullish signal comes from Tezos’s MACD configuration. While the MACD line remains slightly positive at 0.0018, the histogram has turned decisively bullish at 0.0079, suggesting that momentum is shifting in favor of buyers. This divergence between price action and momentum indicators often precedes upward moves.
Tezos’s moving average structure also supports a constructive outlook. The current XTZ price of $0.78 sits above both the 20-day SMA ($0.74) and the critical 200-day SMA ($0.67), maintaining the long-term bullish trend structure. The convergence of the 12-day and 26-day EMAs at $0.77 creates a potential launching pad for the next directional move.
Tezos Price Levels: Key Support and Resistance
Based on Binance spot market data, several critical Tezos support levels are defining the current trading range. The immediate XTZ resistance sits at $0.83, representing today’s 24-hour high and a level that has proven challenging for bulls to overcome in recent sessions.
Above this level, Tezos faces stronger resistance at the psychological $1.00 mark, which coincides with previous consolidation zones and represents a 28% upside potential from current levels. The Bollinger Bands upper band at $0.81 also serves as a near-term resistance target.
On the downside, XTZ immediate support emerges at $0.69, which aligns with both the lower Bollinger Band at $0.68 and represents a confluence of technical support levels. This zone also corresponds with the Tezos strong support level identified in the analysis, making it a critical area for bulls to defend.
The pivot point at $0.80 serves as the key battleground level, with XTZ price currently trading slightly below this threshold, suggesting that a reclaim could trigger additional buying interest.
Should You Buy XTZ Now? Risk-Reward Analysis
For swing traders, the current XTZ price setup offers an interesting risk-reward proposition. The bullish MACD histogram divergence, combined with the neutral XTZ RSI reading, suggests that Tezos may be building momentum for a move toward the $0.83 resistance level.
Conservative traders might wait for a decisive break above $0.80 with increased volume before establishing long positions, using the $0.69 support as a stop-loss level. This approach offers approximately a 2:1 risk-reward ratio targeting the $0.83 resistance.
More aggressive traders could consider the current levels attractive, given that XTZ price sits near the middle Bollinger Band and above key moving averages. However, position sizing should account for the cryptocurrency’s daily ATR of $0.04, which represents roughly 5% volatility.
Day traders should monitor the XTZ/USDT pair closely around the $0.80 pivot level, as a sustained move above this area could trigger momentum buying toward the upper Bollinger Band at $0.81.
Conclusion
Tezos technical analysis suggests that despite today’s modest decline, the cryptocurrency maintains a constructive technical setup with bullish momentum indicators beginning to align. The XTZ price at $0.78 sits at a critical juncture, with the next 24-48 hours likely to determine whether bulls can reclaim the $0.80 pivot and target higher resistance levels. Traders should watch for volume confirmation on any breakout attempts while maintaining tight risk management given the overall market’s mixed signals.
ChatGPT accelerates crypto analysis by interpreting data, summarizing sentiment and creating strategy templates.
Traders use it for practical tasks like bot development, technical interpretation and backtesting simulations.
It augments — not replaces — human decisions and works best when combined with tools like TradingView.
Key limitations include inconsistent real-time data access and reliance on clear prompts and human oversight for accuracy.
The cryptocurrency market operates at a speed and scale that is impossible for any single human to fully comprehend. Every minute, thousands of data points are generated across news feeds, social media platforms, onchain metrics and technical charts. For the average modern trader, the primary challenge is no longer accessing information but processing it effectively to find a clear, actionable signal amid the deafening noise.
This is the precise domain where artificial intelligence, specifically a large language model like ChatGPT, can be transformed from a novelty into an indispensable analytical co-pilot. This guide demonstrates how to systematically integrate ChatGPT into your trading workflow.
What can ChatGPT do for traders?
Before we begin, it is critical to establish the ground rules of using ChatGPT for financial analysis. Ignoring these will lead to flawed conclusions and potential losses.
In its free public version, ChatGPT cannot connect directly to market data APIs. However, ChatGPT Plus and Pro users can access live internet browsing, which allows real-time updates such as the current price of Bitcoin or the latest news. Its core strength remains in analyzing and interpreting the data you provide.
The outputs from ChatGPT are not investment advice. It is a tool for data processing and language interpretation. The responsibility for every financial decision remains entirely with you.
The utility of ChatGPT is 100% dependent on the quality, accuracy and timeliness of the information you feed it. Using flawed data will guarantee a flawed analysis.
How to set up your ChatGPT-powered analysis toolkit
To use ChatGPT effectively, you must first become a proficient data gatherer. Your goal is to collect high-quality information from specialized platforms and then use ChatGPT as the central processor to connect the dots. A professional setup includes three key components:
Source of truth for price data: This is non-negotiable. A platform like TradingView is essential for real-time price action, volume data and an array of technical indicators.
Trusted source for narratives: The crypto market is driven by stories and trends (narratives). Use trusted sources or specialized news terminals to stay informed about regulatory changes, technological upgrades and major partnerships.
Source for fundamental data: For deeper analysis, tools like Glassnode, Nansen or Santiment provide invaluable insight into the underlying health of a network. This includes data on exchange inflows/outflows, whale wallet activity and network growth metrics, which can often lead to price action.
With these tools, you are equipped to feed ChatGPT the high-quality information it needs to produce a high-quality analysis.
A step-by-step guide to generating signals with ChatGPT
This methodical process guides you from a high-level market overview down to a specific, well-defined trading strategy.
Step 1: Identify the macro market narrative
Crypto capital flows in waves, often chasing the most compelling current story. Is the market excited about AI-related tokens, real-world asset (RWA) tokenization or the latest layer-2 scaling solution? Your first task is to use ChatGPT to identify these dominant narratives.
Action: Go to your news aggregator. Collect the headlines and the first paragraph of the top 10-15 crypto market news stories from the past three to five days.
The prompt:“Act as a cryptocurrency market analyst. I will provide you with a list of recent news headlines and summaries. Your task is to analyze this information and identify the top 2-3 dominant market narratives for August 2025. Categorize each narrative (e.g., ‘AI and Blockchain Integration,’ ‘Regulatory Developments,’ ‘DeFi 2.0,’ ‘Real World Asset Tokenization’). For each dominant narrative, explain why it appears to be gaining traction based on the provided text.”
News items:
“BlackRock files for tokenized treasury bond fund, leveraging Chainlink CCIP for cross-chain settlement.”
“Helium Network’s 5G coverage surpasses 1,000 US cities, driving HNT token burn rate to new highs.”
“SEC chairman indicates a clearer path for tokenized securities, boosting confidence in the RWA sector.”
“IO.net announces major partnership with Render Network to pool GPU resources for AI startups.”
“JPMorgan Chase report highlights real-world asset tokenization as a potential $10-trillion market by 2030.”
“Filecoin sees surge in enterprise data storage contracts following network upgrade.”
This analysis provides a crucial filter. Instead of randomly scanning hundreds of coins, you now have a focused list of sectors where market attention and capital are currently flowing. If “AI and blockchain integration” is a hot narrative, your next steps will focus on assets within that category.
Step 2: Measure market sentiment with ChatGPT
Once you have a narrative and a potential asset (e.g., Fetch.ai’s FET), your next step is to drill down and gauge the real-time sentiment surrounding it.
Action: Spend a few minutes browsing the asset’s official X page, its subreddit and what prominent, credible influencers are saying. Take brief notes on the key points of discussion, both positive and negative.
The prompt:“Analyze the following summary of community sentiment for Fetch.ai (FET). Classify the sentiment as predominantly Bullish, Bearish or Neutral. Identify the primary bullish catalysts and the primary bearish concerns being discussed.”
Bullish points:
A strong AI/agent/ASI narrative, owning its own LLM and infrastructure, gives hope of differentiation.
Major institutional/large fund interest (e.g., Interactive Strength’s $500-million token acquisition plan).
The community feels the price is cheap relative to potential/peers, and many see room for significant upside.
Bearish points:
Product execution and performance, slow features, betas not yet polished and questions around whether agent tech works as promised.
Tokenomics/supply and holder concentration, risk of big holders and fears about centralization.
Dependency on altseason/market cycles: Many believe gains are contingent on broader market strength, not just FET fundamentals.
Neutral points:
Price movements are being viewed with caution: Recent gains are welcomed, but many feel FET is still far below its all-time highs; the risk of support levels failing is also frequently mentioned.
Technical chart watchers point to resistance zones and Fibonacci levels; some believe in possible upside if certain barriers are broken, while others warn of pullbacks or stagnation.
How to use the output? This gives you the qualitative context behind the price. A chart might look bullish, but if you discover that the underlying sentiment is turning negative due to a valid concern (like token unlocks), it could be a red flag. Strong positive sentiment driven by tangible developments can give more confidence in a bullish technical setup.
Step 3: Interpretation of technical data
This is where you use ChatGPT as an unbiased technical analysis textbook. You provide the objective data from your charting platform, and it provides a neutral interpretation.
Action: Open your charting platform for your chosen asset. Note the key values for the price and your preferred indicators on a specific timeframe (e.g., the daily chart).
The prompt:“Act as a technical analyst. Provide a neutral interpretation of the following technical data for the Avalanche (AVAX)/USD daily chart. Do not provide financial advice.
Price Action: The price has just broken above a key resistance level at $75, which was the high from the previous quarter.
Volume: The breakout candle was accompanied by trading volume that was 150% higher than the 20-day average volume.
RSI (Relative Strength Index): The daily RSI is at 68. It is in bullish territory but is approaching the overbought level of 70.
Moving Averages: The 50-day moving average has just crossed above the 200-day moving average, a pattern known as a ‘Golden Cross.’
Your Task:
Explain what this combination of indicators typically suggests in a market context.
What would a technical trader look for as a sign of continuation for this bullish move?
What specific signs (e.g., price action, volume) would suggest that this breakout is failing (a ‘fakeout’)?”
The output gives a neutral read on Avalanche’s (AVAX) chart, showing how traders view the breakout above $75, strong volume, near-overbought RSI and golden cross; it serves as a guide to spot continuation (holding above $75 with strong volume) versus a fakeout (dropping back below on weak volume or reversals) and can be reused as a framework for other charts, without offering financial advice.
Step 4: Synthesize data into a structured trade thesis
This final step brings everything together. You feed all your gathered intelligence, narrative, sentiment and technicals into ChatGPT to formulate a complete, logical trade plan.
Action: Consolidate the key takeaways from the previous three steps into a single block of text.
The prompt:“Create a comprehensive and objective trade thesis for Chainlink (LINK) based solely on the data I provide below. Structure the output into three sections: 1) The Bullish Case, 2) Potential Risks and Bearish Factors and 3) An Invalidation Thesis.Provided data:
Narrative: The market’s dominant narrative is ‘real-world asset tokenization,’ and Chainlink is consistently mentioned as a core infrastructure piece for this trend.
Sentiment: Sentiment is highly positive due to the recent announcement of the Cross-Chain Interoperability Protocol (CCIP) being adopted by a major global banking consortium.
Technical analysis: LINK has broken out of a six-month accumulation range, clearing the $45 resistance level on high volume. The daily RSI is 66.”
The output should be used as an objective framework: It outlines the positive drivers (bullish case), the key vulnerabilities (risks) and the clear conditions that would negate the setup (invalidation). This allows for structured monitoring of Chainlink’s price action and narrative strength without making financial recommendations.
Future of ChatGPT-powered trading
The primary function of the four-step framework is to provide a systematic method for linking high-level market narratives, like RWAs, with asset-specific data points and technical analysis. This process demonstrates how ChatGPT can be used as an analytical tool to synthesize user-provided information.
Within this workflow, the model can structure qualitative data from news and social media, interpret quantitative technical inputs and formulate outputs based on the defined parameters in a prompt. The model does not perform independent analysis or provide financial advice. The final responsibility for validating the data, assessing the risks and executing any trade remains with the user. Adopting this human-led, AI-assisted workflow is intended to promote a more structured and disciplined approach to market analysis.
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.
ChatGPT accelerates crypto analysis by interpreting data, summarizing sentiment and creating strategy templates.
Traders use it for practical tasks like bot development, technical interpretation and backtesting simulations.
It augments — not replaces — human decisions and works best when combined with tools like TradingView.
Key limitations include inconsistent real-time data access and reliance on clear prompts and human oversight for accuracy.
The cryptocurrency market operates at a speed and scale that is impossible for any single human to fully comprehend. Every minute, thousands of data points are generated across news feeds, social media platforms, onchain metrics and technical charts. For the average modern trader, the primary challenge is no longer accessing information but processing it effectively to find a clear, actionable signal amid the deafening noise.
This is the precise domain where artificial intelligence, specifically a large language model like ChatGPT, can be transformed from a novelty into an indispensable analytical co-pilot. This guide demonstrates how to systematically integrate ChatGPT into your trading workflow.
What can ChatGPT do for traders?
Before we begin, it is critical to establish the ground rules of using ChatGPT for financial analysis. Ignoring these will lead to flawed conclusions and potential losses.
In its free public version, ChatGPT cannot connect directly to market data APIs. However, ChatGPT Plus and Pro users can access live internet browsing, which allows real-time updates such as the current price of Bitcoin or the latest news. Its core strength remains in analyzing and interpreting the data you provide.
The outputs from ChatGPT are not investment advice. It is a tool for data processing and language interpretation. The responsibility for every financial decision remains entirely with you.
The utility of ChatGPT is 100% dependent on the quality, accuracy and timeliness of the information you feed it. Using flawed data will guarantee a flawed analysis.
How to set up your ChatGPT-powered analysis toolkit
To use ChatGPT effectively, you must first become a proficient data gatherer. Your goal is to collect high-quality information from specialized platforms and then use ChatGPT as the central processor to connect the dots. A professional setup includes three key components:
Source of truth for price data: This is non-negotiable. A platform like TradingView is essential for real-time price action, volume data and an array of technical indicators.
Trusted source for narratives: The crypto market is driven by stories and trends (narratives). Use trusted sources or specialized news terminals to stay informed about regulatory changes, technological upgrades and major partnerships.
Source for fundamental data: For deeper analysis, tools like Glassnode, Nansen or Santiment provide invaluable insight into the underlying health of a network. This includes data on exchange inflows/outflows, whale wallet activity and network growth metrics, which can often lead to price action.
With these tools, you are equipped to feed ChatGPT the high-quality information it needs to produce a high-quality analysis.
A step-by-step guide to generating signals with ChatGPT
This methodical process guides you from a high-level market overview down to a specific, well-defined trading strategy.
Step 1: Identify the macro market narrative
Crypto capital flows in waves, often chasing the most compelling current story. Is the market excited about AI-related tokens, real-world asset (RWA) tokenization or the latest layer-2 scaling solution? Your first task is to use ChatGPT to identify these dominant narratives.
Action: Go to your news aggregator. Collect the headlines and the first paragraph of the top 10-15 crypto market news stories from the past three to five days.
The prompt:“Act as a cryptocurrency market analyst. I will provide you with a list of recent news headlines and summaries. Your task is to analyze this information and identify the top 2-3 dominant market narratives for August 2025. Categorize each narrative (e.g., ‘AI and Blockchain Integration,’ ‘Regulatory Developments,’ ‘DeFi 2.0,’ ‘Real World Asset Tokenization’). For each dominant narrative, explain why it appears to be gaining traction based on the provided text.”
News items:
“BlackRock files for tokenized treasury bond fund, leveraging Chainlink CCIP for cross-chain settlement.”
“Helium Network’s 5G coverage surpasses 1,000 US cities, driving HNT token burn rate to new highs.”
“SEC chairman indicates a clearer path for tokenized securities, boosting confidence in the RWA sector.”
“IO.net announces major partnership with Render Network to pool GPU resources for AI startups.”
“JPMorgan Chase report highlights real-world asset tokenization as a potential $10-trillion market by 2030.”
“Filecoin sees surge in enterprise data storage contracts following network upgrade.”
This analysis provides a crucial filter. Instead of randomly scanning hundreds of coins, you now have a focused list of sectors where market attention and capital are currently flowing. If “AI and blockchain integration” is a hot narrative, your next steps will focus on assets within that category.
Step 2: Measure market sentiment with ChatGPT
Once you have a narrative and a potential asset (e.g., Fetch.ai’s FET), your next step is to drill down and gauge the real-time sentiment surrounding it.
Action: Spend a few minutes browsing the asset’s official X page, its subreddit and what prominent, credible influencers are saying. Take brief notes on the key points of discussion, both positive and negative.
The prompt:“Analyze the following summary of community sentiment for Fetch.ai (FET). Classify the sentiment as predominantly Bullish, Bearish or Neutral. Identify the primary bullish catalysts and the primary bearish concerns being discussed.”
Bullish points:
A strong AI/agent/ASI narrative, owning its own LLM and infrastructure, gives hope of differentiation.
Major institutional/large fund interest (e.g., Interactive Strength’s $500-million token acquisition plan).
The community feels the price is cheap relative to potential/peers, and many see room for significant upside.
Bearish points:
Product execution and performance, slow features, betas not yet polished and questions around whether agent tech works as promised.
Tokenomics/supply and holder concentration, risk of big holders and fears about centralization.
Dependency on altseason/market cycles: Many believe gains are contingent on broader market strength, not just FET fundamentals.
Neutral points:
Price movements are being viewed with caution: Recent gains are welcomed, but many feel FET is still far below its all-time highs; the risk of support levels failing is also frequently mentioned.
Technical chart watchers point to resistance zones and Fibonacci levels; some believe in possible upside if certain barriers are broken, while others warn of pullbacks or stagnation.
How to use the output? This gives you the qualitative context behind the price. A chart might look bullish, but if you discover that the underlying sentiment is turning negative due to a valid concern (like token unlocks), it could be a red flag. Strong positive sentiment driven by tangible developments can give more confidence in a bullish technical setup.
Step 3: Interpretation of technical data
This is where you use ChatGPT as an unbiased technical analysis textbook. You provide the objective data from your charting platform, and it provides a neutral interpretation.
Action: Open your charting platform for your chosen asset. Note the key values for the price and your preferred indicators on a specific timeframe (e.g., the daily chart).
The prompt:“Act as a technical analyst. Provide a neutral interpretation of the following technical data for the Avalanche (AVAX)/USD daily chart. Do not provide financial advice.
Price Action: The price has just broken above a key resistance level at $75, which was the high from the previous quarter.
Volume: The breakout candle was accompanied by trading volume that was 150% higher than the 20-day average volume.
RSI (Relative Strength Index): The daily RSI is at 68. It is in bullish territory but is approaching the overbought level of 70.
Moving Averages: The 50-day moving average has just crossed above the 200-day moving average, a pattern known as a ‘Golden Cross.’
Your Task:
Explain what this combination of indicators typically suggests in a market context.
What would a technical trader look for as a sign of continuation for this bullish move?
What specific signs (e.g., price action, volume) would suggest that this breakout is failing (a ‘fakeout’)?”
The output gives a neutral read on Avalanche’s (AVAX) chart, showing how traders view the breakout above $75, strong volume, near-overbought RSI and golden cross; it serves as a guide to spot continuation (holding above $75 with strong volume) versus a fakeout (dropping back below on weak volume or reversals) and can be reused as a framework for other charts, without offering financial advice.
Step 4: Synthesize data into a structured trade thesis
This final step brings everything together. You feed all your gathered intelligence, narrative, sentiment and technicals into ChatGPT to formulate a complete, logical trade plan.
Action: Consolidate the key takeaways from the previous three steps into a single block of text.
The prompt:“Create a comprehensive and objective trade thesis for Chainlink (LINK) based solely on the data I provide below. Structure the output into three sections: 1) The Bullish Case, 2) Potential Risks and Bearish Factors and 3) An Invalidation Thesis.Provided data:
Narrative: The market’s dominant narrative is ‘real-world asset tokenization,’ and Chainlink is consistently mentioned as a core infrastructure piece for this trend.
Sentiment: Sentiment is highly positive due to the recent announcement of the Cross-Chain Interoperability Protocol (CCIP) being adopted by a major global banking consortium.
Technical analysis: LINK has broken out of a six-month accumulation range, clearing the $45 resistance level on high volume. The daily RSI is 66.”
The output should be used as an objective framework: It outlines the positive drivers (bullish case), the key vulnerabilities (risks) and the clear conditions that would negate the setup (invalidation). This allows for structured monitoring of Chainlink’s price action and narrative strength without making financial recommendations.
Future of ChatGPT-powered trading
The primary function of the four-step framework is to provide a systematic method for linking high-level market narratives, like RWAs, with asset-specific data points and technical analysis. This process demonstrates how ChatGPT can be used as an analytical tool to synthesize user-provided information.
Within this workflow, the model can structure qualitative data from news and social media, interpret quantitative technical inputs and formulate outputs based on the defined parameters in a prompt. The model does not perform independent analysis or provide financial advice. The final responsibility for validating the data, assessing the risks and executing any trade remains with the user. Adopting this human-led, AI-assisted workflow is intended to promote a more structured and disciplined approach to market analysis.
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.
Ethereum’s native token, Ether (ETH), may increase 75% versus Bitcoin (BTC) by New Year’s, according to a maturing bullish reversal setup on its weekly chart.
Multiple signals hint at higher ETH prices
The ETH/BTC pair has been forming what appears to be an inverse-head-and-shoulders (IH&S) pattern since early September.
That is confirmed by the formation of three troughs, the deepest one in the middle, under a common neckline resistance at 0.0420 BTC.
ETH/BTC weekly price chart. Source: TradingView
Technically, an IH&S setup resolves after the price breaks above the neckline and rises by as much as the pattern’s maximum height.
Applying this technical rule to ETH/BTC’s chart brings its upside target for the year’s end to around 0.066 BTC, up about 75% from current rates.
Further bullish signals come from the imminent formation of a golden cross between Ethereum’s 20-week exponential moving average (20-week EMA; the green wave) and its 50-week EMA (the red wave).
ETH/BTC weekly price chart. Source: TradingView
A similar crossover in July 2020 preceded a 250% boom in ETH/BTC rates, albeit after undergoing a minor overbought correction first.
This time, a dip into the 0.033–0.045 BTC support zone — aligning with 20- and 50-week EMA — could serve as a springboard for a similar rebound, ultimately confirming the IH&S breakout scenario.
Major ETH/BTC resistances to watch
ETH/BTC faces several major hurdles before confirming a full breakout. The first is the 200-week EMA (blue line) near 0.045 BTC, a level that has repeatedly rejected upside attempts over the past two years.
ETH/BTC weekly price chart. Source: TradingView
Beyond that lies an even more substantial barrier: a long-term downward trendline that has marked Ether’s tops against Bitcoin since 2017.
The pair would likely make a run at this trendline, which currently sits in the 0.050–0.055 BTC zone, if ETH/BTC can close above the 200-week EMA.
In either case, Ether still has 15%-30% growth potential compared with Bitcoin this year.
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.
Michigan has taken the next step for its strategic crypto reserve bill, which moved to a second reading on Thursday.
The Michigan House Bill 4087, which would allow the state to invest in crypto assets under specific conditions, has moved to a second reading and was referred to the Committee on Government Operations.
The legislation amends the Michigan Management and Budget Act to establish guidelines for a strategic crypto reserve, though it does not mention Bitcoin (BTC) specifically.
It comes amid a recent lull in developments around state-level Bitcoin reserves.
The bill was introduced by Republican Representatives Bryan Posthumus and Ron Robinson in February and would permit the state treasurer to invest up to 10% of funds from Michigan’s “countercyclical budget” and “economic stabilization fund” in cryptocurrency.
The bill stipulates that the state must hold the crypto assets through one of three approved methods: a “secure custody solution,” a qualified custodian such as a bank, trust company, or state-regulated company, or exchange-traded products from registered investment companies.
The state can also loan out cryptocurrency to generate additional returns if it doesn’t increase financial risk.
Crypto reserve bill isn’t limited to Bitcoin
The bill also provides detailed technical security requirements for custody solutions, including exclusive government control of private keys, end-to-end encryption, no smartphone access, geographically diversified secure data centers, multiparty transaction authorization, and regular security audits.
It does not specify which digital assets can be used for the strategic reserves beyond this criterion:
“Digital currency in which encryption techniques are used to regulate the generation of units of currency and verify the transfer of funds, and that operates independently of a central bank.”
Michigan Bitcoin Trade Council in opposition
The Michigan Bitcoin Trade Council has opposed the bill because “there is no market capitalization number listed in the legislation that would prevent other cryptocurrencies other than Bitcoin from being bought by the state.”
The state Bitcoin advocacy group claims that allowing other crypto assets to be part of a strategic crypto reserve would be “creating unnecessary risk,” as all other cryptocurrencies other than Bitcoin are “centralized and subject to great risk.”
Michigan now joins Massachusetts and Ohio with strategy crypto reserve bills that have made it to the committee stage, according to Bitcoin Laws.
Meanwhile, only New Hampshire, Arizona, and Texas have enacted legislation that enables state treasurers to invest in Bitcoin and crypto assets.
Strategic Bitcoin reserve bills have been rejected in Montana, North Dakota, South Dakota, Wyoming and Pennsylvania, and there are 17 other states with pending legislation, according to Bitcoin Reserve Monitor.
