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    What is a ghost chain? How to spot dead or dormant crypto projects

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    Key takeaways

    • Ghost chains are blockchains that are technically operational but have little to no real-world usage, development, or community engagement.

    • Common warning signs include stagnant developer activity, low transaction volume, inactive communities, and exchange delistings.

    • Even well-funded or corporate-backed projects like Diem, KodakCoin, and Luna can fail if adoption and ecosystem growth stall.

    • Investors and developers can avoid ghost chains by monitoring onchain activity, GitHub commits, token liquidity, and community health before committing resources.

    Ghost chain explained: Understanding dormant and inactive blockchain projects

    A ghost chain refers to a blockchain that, while technically still running, has been abandoned by its developers and community. These are sometimes called dead blockchain networks or dormant crypto projects.

    While the chain may once have had momentum or hype, over time, developer activity stalls, user engagement drops and transaction volume plummets. Gradually, signs of failure become noticeable: no recent updates, diminished user activity and minimal real-world utility. Seemingly, they may often be operational and active on the surface, but are devoid of any useful activity and appear to be fading into obscurity. 

    Essentially, it’s a blockchain that is technically alive but functionally dead. The rise of ghost chains stems from several overlapping factors. Often, the original developers or teams stop contributing, leaving repositories untouched for months. Eventually, the core development team ceases communication, roadmap updates stop and users migrate to more active ecosystems. Communities diminish and liquidity dries up.

    In time, the network becomes a ghost chain, disconnected from the vibrant user base it once hoped to attract. From once-promising Ethereum killers to obscure layer 1s, the crypto landscape is dotted with examples of such projects that lost steam after initial hype. Whether due to a lack of utility, community or funding, these chains now drift in the blockchain graveyard. Spotting the warning signs can help avoid being caught in a “digital ghost town.”

    Did you know: In June 2024, Binance delisted WAVES, OMG Network (OMG), NEM (XEM), and Wrapped NXM (WNXM) due to low trading volume, weak liquidity and limited development activity, all symptomatic signs of chains drifting toward ghost status.  

    Common traits of a ghost chain

    Not every declining blockchain qualifies as a ghost chain. However, several recurring indicators can help identify a project on the brink of irrelevance. These are the key signs of a failed project (or on its way to becoming one):

    • Diminished developer activity: A lack of recent code commits, version releases or updates. 

    • Inactive communities: Forums and social platforms show minimal or no engagement.

    • Broken or outdated websites: Project information is stale and documentation is incomplete.

    • Low onchain transaction volume: Only a handful of transactions occur daily, often automated or internal.

    • Exchange delistings and low trading volume: The native token of the chain may be delisted or exhibit extremely thin liquidity.

    These red flags often appear together in dormant crypto projects, where the utility of the token is questionable and user trust is eroded.

    How to investigate and identify ghost chains? 

    To protect time, capital and resources, it is essential to proactively assess any blockchain before engagement. The table below lists some important questions that you must ask before engaging with a blockchain:

    • Examine transaction data: Use public blockchain explorers to assess how frequently blocks are being produced and if users are actually sending transactions. If block explorers show minimal daily transactions or wallet activity, that’s a big warning sign. Some chains process only a handful of transactions per day, with most blocks nearly empty.

    • Check DApp activity:  A thriving chain will have decentralized apps, DeFi protocols, NFT marketplaces and other smart contracts in use. If the ecosystem is barren, chances are it’s not attracting builders or users and is on its way to decline.

    • Assess GitHub or repository updates: Check the project’s GitHub to see if developers are still committing code and fixing bugs. If the last meaningful commit was six months before, then that may be a red flag and require further probing.

    • Monitor social media and communication channels: Look for AMA sessions, dev updates or community-driven content. Telegram groups with no moderators, Discord with more bot spamming than users or X accounts that haven’t posted in months — these are all signs of failed chains. If the community feels deserted, it probably is and is an important and easy red flag to notice.

    • Review token performance: A plummeting token price with negligible trade volume often reflects broader abandonment. While price alone doesn’t determine success, a token that consistently declines with no trading volume or liquidity is a problem. 

    • Crypto events: Check for any active participation and presence of the chain in recent crypto events such as a booth, speaker discussion, meetups, etc. Consistent lack of the team to showcase its offerings is a sign of decline. 

    Keep in mind that overpromising and weak or no delivery to match the initial hype is something to look for. “The fastest chain,” “Solana killer,” or “100,000 TPS” are some extravagant promises often made in the blockchain ecosystem but rarely delivered. If the roadmap is outdated and no updates are forthcoming, it might be time to move on.

    Did you know: Feathercoin, launched in 2013 by Peter Bushnell, the head of IT at Oxford University’s Brasenose College, as a faster Litecoin alternative, garnered initial interest but largely became a ghost chain amid stiff competition and its own dwindling development, leading to an overall decline in interest.

    Ghost chain examples: Projects that lost momentum

    Several blockchain projects, once praised for innovation, have become ghost chain examples due to declining usage and visibility:

    While each project failed for different reasons, the common thread is clear: Without active ecosystems and sustained developer engagement, even the most well-funded blockchains can fade into obscurity.

    Did you know: Diem, Facebook’s ambitious blockchain project formerly known as Libra, raised over $1.3 billion and secured backing from major firms like Visa and PayPal, yet it was abandoned in 2022 after intense regulatory pressure, making it one of the most high-profile corporate dead projects in crypto history.

    Risks and consequences of ghost chains

    The collapse or stagnation of blockchain networks has wider implications. These dead blockchain projects contribute to digital clutter networks running with no users, consuming resources and creating confusion for investors and developers.

    Major consequences include:

    • Loss of investor capital due to token devaluation.

    • Wasted development time and infrastructure.

    • Decreased trust in newer blockchain initiatives.

    Beyond financial loss, ghost chains pose security risks. Abandoned domains, download links and legacy wallets can become phishing traps. Fraudsters may repurpose old smart contracts or resurrect historical data to deploy malicious code, deceiving users who reconnect with the chain expecting legitimacy. 

    It’s important to note that not all inactive crypto blockchains are permanently doomed. Some may see a revival with renewed community support, updates or rebranding. But this is an exception and not the norm.

    In the next bull cycle, new blockchains will rise, but only a few will stick. Knowing how to differentiate between a vibrant protocol and a ghost chain is one of the most valuable skills in the space today. Stay sharp, stay skeptical and always do your own research.

    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.

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    How to use ChatGPT Agent for crypto trading in 2025

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    Key takeaways

    • ChatGPT Agent can automate crypto trading tasks like research, charting and strategy execution.

    • It integrates real-time data, onchain metrics and sentiment analysis into a single workflow.

    • While powerful, it requires human oversight to avoid hallucinations, API errors or security risks.

    • Multi-agent systems may reshape crypto trading, but strategic judgment remains essential.

    On July 17, 2025, OpenAI launched ChatGPT Agent.

    It’s a milestone in AI automation that merges ChatGPT’s real-time web-browsing “Operator,” deep analytical tools and conversational intelligence into a single assistant. 

    For crypto traders, this means automated research, charting, sentiment analysis and spreadsheet creation all done by an AI capable of executing tasks independently under human supervision. 

    Instead of manually scraping price data or preparing reports, traders can now use ChatGPT Agent to surface crypto signals, analyze trends and act on insights with unprecedented speed.

    It’s the beginning of truly intelligent crypto trading with AI, and definitely worth talking about. 

    What is ChatGPT Agent?

    ChatGPT Agent is OpenAI’s latest virtual AI worker that can browse, analyze, code and execute tasks end-to-end. It draws on a suite of tools, including visual and text browsers, a terminal, code interpreter and third-party app integrations. Unlike earlier versions that merely advised, this agent can act on instructions while keeping the user in control.

    Designed with traders in mind, ChatGPT Agent blends capabilities once split between Operator and Deep Research. It’s now capable of executing multi-step workflows across crypto platforms, from price monitoring to bot deployment, arguably making it one of the best AI tools for crypto in 2025.

    As of July 2025, ChatGPT Agent is available to Pro, Plus and Team subscribers. Enterprise and Education plans are expected to follow soon, while free-tier users and those in EU/Swiss regions will gain access once regulatory reviews are complete.

    With simple natural language commands, users can task the agent with jobs like monitoring token liquidity, generating AI crypto trading strategies or building a portfolio dashboard (pausing for approval before executing sensitive actions).

    Why are people using ChatGPT Agent for trading? 

    People use ChatGPT for trading because it offers:

    • Real-time data access: Instead of switching between tabs and terminals, you can delegate live chart lookups, onchain analytics or price feed integration to the agent. It fetches and processes data in real time.

    • Sentiment intelligence and research: By tapping into media sources, X (Twitter), Reddit and blockchain explorers, the agent can generate insight-rich overviews. Think whale tracking, token inflow alerts or macro sentiment summaries.

    • Automated reports and control: All tasks are performed transparently. Users can watch, intervene or redirect the agent as needed. Final outputs include ready-to-use CSVs, slide decks or dashboards.

    • Trade execution (with guardrails): With user-approved API keys from platforms like Binance or Coinbase, the agent can place trades or rebalance your portfolio. However, OpenAI has built in multiple safety checks, requiring manual approval before any irreversible action can be taken. 

    Did you know? About 85 percent of enterprises are expected to deploy AI agents by the end of 2025, driven largely by their efficiency in decision workflows.

    How to trade crypto with ChatGPT Agent: AI trading bot tutorial

    Here’s how to turn ChatGPT Agent into your crypto trading co-pilot, without writing a single line of code.

    1. Enabling agent mode

    Begin by opening any ChatGPT conversation. From there, click the Tools → Agent Mode dropdown, or simply type /agent to activate the workspace. This launches a virtual desktop with browser tabs, terminal access, spreadsheet tools and API connectors, all designed for executing multi-step crypto workflows.

    2. Defining your prompt

    The system thrives on clarity. A well-structured prompt defines the workflow, such as:

    • “Fetch BTC/ETH hourly chart, calculate 20- and 50-period SMAs, flag crossover signals”

    • “Summarize on-chain whale activity for the top 5 market-cap coins over the last 24 hours”

    3. Agent execution with oversight

    Once triggered, the agent uses live feeds or APIs to:

    • Collect price and blockchain data.

    • Run custom code for analysis (e.g., technical indicators, sentiment parsing).

    • Display intermediate outputs and progress in real time.

    You retain control throughout the process. Tasks can be paused, adjusted or redirected, preventing misinterpretations at critical stages.

    4. Export 

    On completion, the agent provides:

    • Downloadable CSVs or Excel sheets.

    • Ready-to-visualize charts.

    • Summarized insights for reporting or trading decisions.

    If you choose to connect your Binance or Coinbase API credentials, the agent can even place or rebalance trades, only after explicit confirmation. 

    While full automation is technically possible, OpenAI emphasizes user oversight, particularly in financial applications. 

    Use cases: ChatGPT for crypto analysis

    ChatGPT Agent can be a powerful tool across various crypto trading workflows.

    It can scan charts and compute live technical indicators like SMA, RSI or MACD. For example, it might monitor BTC and ETH hourly, flagging SMA crossovers and signaling potential buy or sell opportunities, all on autopilot, once configured. 

    Beyond technicals, the agent also tracks news feeds, social media platforms like X and sentiment data to surface early signals. It can alert you to major whale movements, token listings or regulatory updates before the market fully reacts.

    On the portfolio side, the agent monitors your P&L over time and can suggest rebalancing based on predefined rules, such as reallocating funds when certain thresholds are breached. It then compiles reports and charts that help you visualize trends and assess performance more effectively.

    You can also automate workflows around scheduled events like token unlocks, protocol upgrades or major influencer activity. The agent can track pre- and post-event metrics, analyze price impact and generate trade signals tied to those triggers.

    Did you know? ChatGPT Agent can instantly identify arbitrage opportunities by analyzing multiple trading pairs (like BTC/ETH and altcoins) simultaneously, helping traders capitalize on short-term spreads.

    Benefits vs risks of using ChatGPT agent for crypto trading

    Benefits

    • Saves time: Automates data fetching, charting and reporting for faster decisions.

    • Data integration: Merges onchain, news and technical signals for deeper insights.

    • Repeatable workflows: Use prompts for consistent backtesting and ongoing analysis.

    Risks

    • Incorrect outputs: May misinterpret indicators; always verify results.

    • API and scraping errors: Rate limits or data issues can skew analysis.

    • Security risks: Automated tools may expose data or be vulnerable to prompt injection.

    How OpenAI prioritizes safety and user control in crypto automation

    To address these risks, OpenAI has implemented several safeguards that prioritize user control and safety. 

    The agent always pauses for manual approval before taking any irreversible action, and it remains inactive when not actively supervised (ensuring that no trades or data requests happen without intent).

    Execution is permission-based by design. Terminal access is restricted, memory is disabled, and prompts are filtered to block malicious inputs, measures aligned with OpenAI’s broader crypto safety protocols.

    Ultimately, the agent isn’t meant to be a replacement. Traders are expected to stay in the loop, reviewing outputs, validating signals and only enabling automation where workflows are well understood. 

    The future of crypto trading with AI in 2025 (and beyond)

    Automated crypto trading with ChatGPT is set to quickly become the new normal.

    Expect native access to onchain nodes, protocol-specific APIs, and advanced analytics, allowing traders to execute strategies and receive signals without leaving the ChatGPT environment. 

    Also, emerging systems like FLAG-Trader are exploring how multiple AI agents (each specialized in price action, risk or sentiment) can collaborate to manage portfolios. These frameworks go beyond single-agent prompts, introducing coordinated decision-making models built for crypto trading with AI in 2025.

    OpenAI’s Agent is part of a broader movement toward agentic finance, where multiple autonomous assistants support real-time decision-making under human supervision.

    In short, the tools are getting smarter, but your edge still comes from how wisely you use them.

    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.

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    Can Google Gemini really help plan crypto trades?

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    Key takeaways:

    • Gemini is now used by crypto traders to monitor market catalysts and breaking news in real time.

    • The Gemini Pro version’s longer context window and web access boost its usefulness for macro and sentiment tracking.

    • It lacks native support for charts, portfolios or backtesting; traders still need external tools.

    • Gemini is a powerful signal tool, but you should always validate with real-time data before acting; AI can hint, but it can’t replace execution judgment.

    In 2025, AI tools aren’t just summarizing text; they’re being used by crypto traders to make sense of fast-moving narratives. Gemini, particularly its Pro version, stands out because it can natively access Google Search. This means traders can ask it to pull news updates, summarize catalysts or cross-check signals without relying on plugins or extensions.

    While ChatGPT remains dominant for trade structuring and prompt design, Gemini’s edge lies in its built-in Google Search capability. It can surface real-time news and cross-check catalysts without needing plugins. However, it has major limitations: no price charts, no exchange access and no execution capability. It won’t replace trading platforms, but it helps filter signals from noise.

    Also, please note that Gemini does not forecast crypto prices. It helps verify whether a narrative or signal holds water. In noisy markets, that’s valuable but only when paired with other tools and human oversight.

    Using Gemini for crypto trading: Strengths and limits, explained

    Below are prompt templates for crypto trading, organized by workflow stage. Render Token (RNDR) is used as the example token, based on July 2025 data.

    Please note that prompts used in steps 1 and 2 were fed to Gemini on July 10, 2025, to scan RNDR news

    Market scan on RNDR token

    “Scan Google News and major crypto publications for the last 24 hours on $RNDR. List top catalysts with links.”

    Gemini’s output is shown in the image below.

    Here are the four key signals Gemini is highlighting from the above output:

    • Narrative momentum: RNDR is consistently grouped with trending AI and Web3 tokens, reinforcing its long-term relevance.

    • Sentiment spillover: Positive coverage of similar tokens (e.g., BlockDAG, ICP, TAO) benefits RNDR by association.

    • Media visibility: Articles from July and May still carry weight due to narrative alignment, not just recency.

    • Sector leader tag: RNDR is directly named as a top AI crypto project in major 2025 outlook lists.

    Narrative depth without real-time signal

    Prompt used on July 10, 2025:
    “Yesterday’s volume on RNDR spiked 50%. Summarize if any specific token announcements or wallet movements explain this, citing date/time and source.”

    Gemini’s output:

    Gemini’s output showed no clear news catalyst for RNDR’s 50% volume spike on July 9, 2025, instead offering contextual analysis tied to long-term AI narratives.

    Gemini confirms broader narratives but often misses short-term catalysts, highlighting the need to cross-check with wallet trackers or token-specific feeds before trading volume spikes.

    RNDR technical setup: Gemini can’t replace charts

    Once the RNDR narrative checked out, Gemini was prompted to simulate a technical trade. It outlined assumed entry and exit levels using standard rules like the 200-day moving average (MA) but couldn’t verify live relative strength index (RSI) or moving average convergence/divergence (MACD).

    Prompt used:
    “I want a trade setup for RNDR based on technicals. Use 200-day MA for trend filtering; indicate RSI, MACD level, entry range, stop-loss, and target levels with risk/reward.”

    As observed, while Gemini can generate a logically sound trade setup, like the one shown for RNDR, with defined entry, stop-loss and target levels, it does so based on assumed, not verified, technical indicators. Metrics such as RSI and MACD are approximated or manually inserted, not pulled from real-time price feeds. 

    As a result, any risk-reward ratios or suggested trade ranges are hypothetical and illustrative, not actionable without further verification. Gemini can assist with planning, prompt structuring and scenario modeling, but it cannot confirm trend conditions, monitor live volatility or adapt to sudden market shifts. This makes it useful for backtesting or learning but unsuitable for executing or timing real trades unless paired with a reliable charting tool or live market data platform.

    Risk logic, not blind entry

    Rather than chasing setups blindly, Gemini was asked to calculate position sizing and invalidation rules for a $10,000 portfolio risking 2% on the RNDR trade. It returned a max size of $3,240, assuming a 6.2% stop-loss, and flagged eight invalidation conditions, including bearish RSI shifts, negative news and macro disruptions.

    Prompt used:
    “Given the RNDR setup, what’s the max position size if I risk 2% of a $10,000 portfolio, and what scenarios might invalidate the trade?”

    Gemini’s answer followed basic trading heuristics, but the final decision still depended on user-defined volatility and conviction. So, Gemini’s risk framing is useful but not precise.

    When Gemini gets it wrong

    Even advanced models have blind spots. Here are five ways Gemini can misfire in crypto trading:

    So, AI tools like Gemini can guide, but they’re not flawless. Always know the blind spots before you trade.

    How Gemini compares with ChatGPT and Grok for crypto trading

    Google Gemini isn’t the only AI tool traders are using, but it fits into a growing toolkit that includes models like ChatGPT and xAI’s Grok. Each has strengths and gaps, depending on what you’re optimizing for: market context, signal detection, trade planning or execution.

    Gemini could outperform for news-driven setups, while ChatGPT may offer stronger support for coding strategies and trade simulations.

    Depending upon their risk tolerance, traders could use Grok to detect token chatter, then Gemini to verify news validity and ChatGPT to structure a full trade plan.

    How to use Gemini responsibly in crypto trading

    Gemini can be used for research and structuring trade setups, not for live signals or execution. Always validate its outputs through platforms like CoinMarketCap or TradingView. For better results, combine it with tools like Grok (sentiment) and ChatGPT (logic). Since it lacks onchain and price feeds, all strategies should be tested in simulation before deployment.

    Tips for using Gemini in crypto trading:

    • Use Gemini for narrative validation, not live trading.

    • Cross-check Gemini’s outputs with onchain data.

    • Combine Gemini with Grok (sentiment) and ChatGPT (logic).

    • Never trade without manually verifying RSI, volume or token flows.

    • Treat Gemini setups as drafts, not signals that test them in simulation first.

    As AI becomes more integrated into crypto workflows, understanding how to prompt, how to verify AI-generated outputs and how to manage risk is more important than ever.

    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.

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    How Trump’s $9T executive order could let you add Bitcoin to your retirement plan

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    Key takeaways

    • Trump’s forthcoming executive order could open the $9 trillion US retirement market to Bitcoin and other cryptocurrencies.

    • The order aims to give 401(k) providers legal protection when offering crypto investment options.

    • Major asset managers like BlackRock and Apollo are reportedly developing crypto retirement products in anticipation of regulatory clarity.

    • Financial providers may move cautiously, but the regulatory shift signals growing mainstream acceptance of digital assets.

    If you’ve spent decades building your nest egg the traditional way, through your 401(k), stocks, bonds, and maybe a little gold, then you’re not alone. According to Gallup, about six in 10 Americans have a well-defined retirement plan. But change may be on the horizon.

    US President Donald Trump is preparing to sign an executive order that could open the doors for Bitcoin (BTC) and other cryptocurrencies to enter the $9 trillion US retirement market.

    Now, if the word Bitcoin sounds like something from a sci-fi movie or a fad for tech-savvy youngsters, don’t worry, you’re not alone. But here’s the thing: Bitcoin and other digital assets are becoming more mainstream, and this new executive order could make it easier and legally safer for Americans to include them in their retirement portfolios.

    This guide will walk you through what this executive order is, what it means for your savings and how you could legally and securely invest in Bitcoin through your 401(k). 

    What’s in Trump’s $9 trillion executive order?

    Trump is preparing to sign an executive order that could change how Americans save for retirement. This executive order is part of a broader pro-crypto strategy that aligns with what he has called his mission to “bring financial freedom back to the people.”

    According to the Financial Times, the executive order would direct Washington regulatory agencies to explore the best course of action for 401(k) plans to begin investing in cryptocurrency and examine any remaining barriers to making it a reality. 

    The order will also direct the US Department of Labor to update the rules regarding the types of assets that can be included in retirement accounts. Currently, most 401(k) plans limit your choices to things such as mutual funds, stocks, bonds and sometimes gold. But this order could open the door to what are called alternative assets, including cryptocurrencies like Bitcoin.

    The order is also expected to encourage employers and plan providers to offer more flexible investment options, without fearing legal trouble for stepping outside the traditional menu of funds. Of course, this doesn’t mean your 401(k) will suddenly be full of Bitcoin overnight. The details still need to be worked out, and financial providers may move cautiously.

    Why Bitcoin in your 401(k) matters

    Crypto is no longer just a side bet for tech bros and Reddit threads. It’s a trillion-dollar industry, and Bitcoin has earned its stripes as “digital gold”. Allowing Bitcoin in retirement plans means millions of Americans could start dollar-cost averaging (DCA) into BTC every paycheck, without needing to open a separate crypto exchange account.

    And this isn’t just theoretical. In May, Trump’s Labor Department reversed a Biden-era policy that discouraged 401(k) providers from offering crypto. That move paved the way for this order and showed that the administration was preparing the foundation. 

    Did you know? If the order is passed, the savings plan may not include just Bitcoin, but potentially stablecoin investment 401(k) products too.

    How to add Bitcoin to your retirement plan 

    If the Trump $9 trillion Bitcoin retirement order goes into effect, what would you need to do to add Bitcoin to your 401(k)? 

    Here’s a simplified step-by-step guide to add crypto to your retirement plan:

    Step 1: Check with your employer or plan provider

    Not all 401(k) plans will offer crypto right away. Your provider, whether it’s Fidelity, Vanguard, or another, has to enable this option first. Look out for announcements or updated plan menus.

    Step 2: Review the crypto options

    When reviewing the options, you might see direct Bitcoin exposure, a BlackRock Bitcoin retirement fund or exchange-traded funds (ETFs). Some providers may offer a digital asset sleeve in a managed portfolio.

    Step 3: Decide on allocation

    Crypto is volatile. Starting small may introduce you to the digital assets while providing more long-term growth. 

    According to VanEck’s study, a strategic allocation of up to 6% in crypto, within a traditional 60/40 portfolio, provides the highest risk-adjusted returns, while risk-tolerant investors may benefit from crypto allocations as high as 20%.

    Step 4: Opt in and monitor

    Once available, you’ll be able to allocate part of your 401(k) into Bitcoin, just like you would with stocks or bonds. 

    Step 5: Understand the tax benefits

    If the Trump crypto tax-free law is passed in parallel, it could mean tax exemptions on small crypto transactions or specific types of retirement contributions.

    What Trump’s $9 trillion executive order means for the future of retirement

    The retirement world has long been dominated by the old guard: stocks, bonds and a handful of mutual funds. A Bitcoin retirement account could soon be a reality in the US, designed to be both compliant and integrated into existing infrastructure.

    Legislators from North Carolina filed proposals in the House and Senate in March 2025 that would allow the state treasurer to invest up to 5% of several state retirement funds in cryptocurrencies.

    According to the Financial Times, big asset managers like Blackstone, Apollo and BlackRock have been preparing for this moment. They’ve already struck partnerships and developed products designed for retirement plans, waiting for the green light.

    According to a Bitget Research report, the public is open to diversification, revealing that up to 20% of Gen Z and Alpha are amenable to getting pensions in cryptocurrency.

    One reason crypto hasn’t made it into most retirement plans is risk; fiduciaries feared getting sued if crypto went sideways. Trump’s order is expected to include a “legal safe harbor,” meaning these administrators won’t be held liable for offering Bitcoin.

    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.

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