Major crypto exchanges like Binance and OKX have reacted to the recent OM price crash, ensuring users that they will look into the situation and report their findings. On April 14, a day after the Mantra token’s market cap suffered a loss of $5.5 billion due to market volatility, Binance issued a statement through the exchange’s Customer Support account on X, reacting to the recent price crash. According to the recent post , Binance’s initial findings reveal that the price crash was due to a series of cross-exchange liquidations that occurred over the past day. Binance is aware that $OM , the native token of MANTRA, has experienced significant price volatilities. Our initial findings indicate that the developments over the past day are a result of cross-exchange liquidations. Since October of last year, Binance has implemented various… — Binance Customer Support (@BinanceHelpDesk) April 14, 2025 In light of the token’s volatile state, Binance confirmed that it had attached a pop-up warning for OM ( OM ) token’s spot trading since January 2025, which informed users that the Mantra token had seen “significant changes” in its tokenomics, indicated by an increase in token supply. “We remain dedicated to monitoring the situation closely and will continue to take appropriate actions to protect our users and maintain the integrity of our platform. Thank you for your continued trust in Binance,” said the Binance Help Desk account. At press time, the Mantra token has experienced a near 90% drop in the past 24 hours. Its market cap stands at $764 million, plummeting from a previous $6 billion high. The token is currently trading hands at $0.79, down 91% from its earlier all-time high of $8.99 from last February. Price chart for OM in the past few hours of trading, following the major price drop, April 14, 2025 | Source: crypto.news Read more: Mantra price plummets: What happened to the real-world asset token? In addition, Binance also stated that it had decreased leverage levels for the OM token since October last year. Despite this fact, many traders in the comments section criticized the exchange for not delisting the token before the incident occurred. On the other hand, OKX CEO Star deemed the OM price drop as “a big scandal to the whole crypto industry.” Star also assured the crypto exchange will be preparing reports based on the incident, as all the information is available on-chain. “All of the on-chain unlock and deposit data is public, all major exchanges’ collateral and liquidation data can be investigated. OKX will make all of the reports ready!” stated Star in a recent post . On-chain data from CryptoNinjas revealed that 127 million OM or 13% of the token’s circulating supply has been withdrawn from Binance in the past month. Meanwhile, OKX has seen nearly 70 million token deposits, which was more than 50% of the amount withdrawn from Biannce. What happened to OM? Last weekend, OM experienced a major price crash by 90%, falling from $6.30 to under $0.50 in the span of just a few hours. Mantra chief executive officer JP Mullin alleged that OM’s recent price crash was due to “reckless forced closures initiated by centralized exchanges on OM account holders.” Mullin claimed that the sell-off was not due to token sales by either the internal team or investors, stating that the OM tokens remain under lock based on the project’s vesting timeline. “Centralized exchange partners play an important role in providing liquidity to projects like ours. We work closely with them, however they continue to exercise enormously high levels of discretion,” said Mullin. However, on-chain analysts seem to disagree, with many stating that the sell-off began when 3.9 million OM was deposited on OKX by a wallet linked to the Mantra team. Crypto analyst Max Brown said the team allegedly holds almost 90% of the token’s total supply, which triggered the market sell-off that led to the token losing $5.5 billion in market cap. Read more: Mantra CEO blames 90% OM token crash on forced exchange liquidations
The post Chinese Fraudsters Jailed for Defrauding Indians of $6M in Crypto Investment Scam appeared first on Coinpedia Fintech News A local court in China recently sentenced nine Chinese fraudsters to prison terms over defraudign 66,800 Indians of about $6 million through USDT fraud. Notably, the scheme involved using translation and chat software to befriend foreigners, gain their trust and trick them into investment by defrauding their money. Over 66,000 Indians Fell To the Scam The case handled by the People’s Court of Heze Economic Development Zone in Shandong Province involved a total of 517 million Indian rupees which is about 40 million RMB targeting 66,800 Indians. The nine fraudsters were sentenced to prison and fined for their involvement in the large-scale scam targeting Indians. He Moutian was the mastermind behind the scam. In May 2023 he set up an office in Heze, China and formed a fraud gang with several other people. The group used overseas servers, appeared to be large investors, and targeted Indians through a fake investment platform called SENEE. Scammers Promised 8%-15% Returns, Stole Millions for USDT Conversion They pretended to be friendly investors on chat apps, offering high monthly returns of 8%-15% on smaller investments like 1,000 rupees. Once people put in larger sums of money, the gang would shut the platform and freeze the funds. The stolen money was then used to buy USDT through a third-party payment platform which was later converted into RMB or US dollars, with the group keeping 15% as profit. Scammers Used Fake Identities and Coordinated Closely One of the scammers, Li Mouwang, admitted to pretending to be a rich Indian woman who made money through smart investments. She used chat apps to build trust and fake relationships with Indian men and lured them into investing in the fake SENEE fund. Furthermore, the gang also posted fake lifestyle photos like gym selfies and travel pics and also set their app location to Indian cities. A fake company website with edited licenses, registration certificates and business documents was also created to make the investment platform seem genuine and gain customer trust. The court found that the group was highly organised with clear roles and tight coordination. All the nine members were sentenced to 5 to nearly 15 years in prison and fined. The Judge noted that although this case targeted foreigners, however online scams are common inside China too. It warned the public into not fall for promises of easy money, special insider tips or cashbacks for placing orders as they are all signs of scams. The authorities are increasingly cracking down on telecommunications network fraud and the judge has urged the fraudsters to surrender for lighter punishment.
Binance has released a statement acknowledging the recent price volatility surrounding the MANTRA project’s native token, OM, attributing the move to cross-exchange liquidations and significant changes to the token’s supply structure. Binance Announces OM Token Amid Cross-Exchange Liquidations and Tokenomics Shift The exchange stated risk control measures and ongoing monitoring following sharp price fluctuations in MANTRA’s native token. According to the exchange, its internal analysis shows that the price fluctuations observed over the past 24 hours were largely the result of gradual liquidations across multiple trading platforms. OM experienced sharp price movements that caught the attention of investors and led to the platform reaffirming its risk management practices. “Since October last year, Binance has proactively implemented various risk control measures, including reducing the available leverage for OM. These actions are part of our ongoing efforts to adjust risk exposure in response to evolving market conditions,” the company said in a statement. The exchange also noted that in January, OM published an alert message on its spot trading page to inform users about significant changes in token supply dynamics. This message refers to changes to OM’s tokenomics that have increased the circulating supply. In light of recent price action, Binance has updated this alert to highlight the token’s high volatility. Despite the turbulence, Binance reiterated its commitment to protecting users through continuous monitoring and responsive platform management. “We are committed to monitoring the situation closely and will continue to take appropriate measures to protect our users and preserve the integrity of our platform,” the exchange said. OM’s recent volatility highlights the broader risks associated with tokenomic changes and leveraged trading, particularly when amplified by fragmented liquidity across exchanges. Binance’s public statement and additional measures reflect increasing pressure on major trading platforms to improve transparency and risk mitigation in the face of increased market scrutiny. *This is not investment advice. Continue Reading: Bitcoin Exchange Binance Made a Statement About OM Token, Which Had a Big Drop! Here Are the Details
AI is transforming how people interact with financial markets, and cryptocurrency trading is no exception. With tools like OpenAI’s Custom GPTs, it is now possible for beginners and enthusiasts to create intelligent trading bots capable of analyzing data, generating signals and even executing trades. This guide analyzes the fundamentals of building a beginner-friendly AI crypto trading bot using Custom GPTs. It covers setup, strategy design, coding, testing and important considerations for safety and success. What is a custom GPT? A custom GPT (generative pretrained transformer) is a personalized version of OpenAI’s ChatGPT . It can be trained to follow specific instructions, work with uploaded documents and assist with niche tasks, including crypto trading bot development. These models can help automate tedious processes, generate and troubleshoot code, analyze technical indicators and even interpret crypto news or market sentiment, making them ideal companions for building algorithmic trading bots. What you’ll need to get started Before creating a trading bot, the following components are necessary : OpenAI ChatGPT Plus subscription (for access to GPT-4 and Custom GPTs). A crypto exchange account that offers API access (e.g., Coinbase , Binance, Kraken ). Basic knowledge of Python (or willingness to learn). A paper trading environment to safely test strategies. Optional: A VPS or cloud server to run the bot continuously. Did you know? Python’s creator, Guido van Rossum, named the language after Monty Python’s Flying Circus, aiming for something fun and approachable. Step-by-step guide to building an AI trading bot with custom GPTs Whether you’re looking to generate trade signals, interpret news sentiment or automate strategy logic, the below step-by-step approach helps you learn the basics of combining AI with crypto trading . With sample Python scripts and output examples, you'll see how to connect a custom GPT to a trading system, generate trade signals and automate decisions using real-time market data. Step 1: Define a simple trading strategy Start by identifying a basic rule-based strategy that is easy to automate. Examples include: Buy when Bitcoin’s ( BTC ) daily price drops by more than 3%. Sell when RSI (relative strength index) exceeds 70. Enter a long position after a bullish moving average convergence divergence (MACD) crossover. Trade based on sentiment from recent crypto headlines. Clear, rule-based logic is essential for creating effective code and minimizing confusion for your Custom GPT. Step 2: Create a custom GPT To build a personalized GPT model: Visit chat.openai.com Navigate to Explore GPTs > Create Name the model (e.g., “Crypto Trading Assistant”) In the instructions section, define its role clearly. For example: “You are a Python developer specialized in crypto trading bots.” “You understand technical analysis and crypto APIs.” “You help generate and debug trading bot code.” Optional: Upload exchange API documentation or trading strategy PDFs for additional context. Step 3: Generate the trading bot code (with GPT’s help) Use the custom GPT to help generate a Python script. For example, type: “Write a basic Python script that connects to Binance using ccxt and buys BTC when RSI drops below 30. I am a beginner and don’t understand code much so I need a simple and short script please.” The GPT can provide: Code for connecting to the exchange via API. Technical indicator calculations using libraries like ta or TA-lib. Trading signal logic. Sample buy/sell execution commands. Python libraries commonly used for such tasks are: ccxt for multi-exchange API support. pandas for market data manipulation. ta or TA-Lib for technical analysis. schedule or apscheduler for running timed tasks. To begin, the user must install two Python libraries: ccxt for accessing the Binance API, and ta (technical analysis) for calculating the RSI. This can be done by running the following command in a terminal: pip install ccxt ta Next, the user should replace the placeholder API key and secret with their actual Binance API credentials. These can be generated from a Binance account dashboard. The script uses a five-minute candlestick chart to determine short-term RSI conditions. Below is the full script: ==================================================================== import ccxt import pandas as pd import ta # Your Binance API keys (use your own) api_key = 'YOUR_API_KEY' api_secret = 'YOUR_API_SECRET' # Connect to Binance exchange = ccxt.binance({ 'apiKey': api_key, 'secret': api_secret, 'enableRateLimit': True, }) # Get BTC/USDT 1h candles bars = exchange.fetch_ohlcv('BTC/USDT', timeframe='1h', limit=100) df = pd.DataFrame(bars, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume']) # Calculate RSI df['rsi'] = ta.momentum.RSIIndicator(df['close'], window=14).rsi() # Check latest RSI value latest_rsi = df['rsi'].iloc[-1] print(f"Latest RSI: {latest_rsi}") # If RSI if latest_rsi order = exchange.create_market_buy_order('BTC/USDT', 0.001) print("Buy order placed:", order) else: print("RSI not low enough to buy.") ==================================================================== Please note that the above script is intended for illustration purposes. It does not include risk management features, error handling or safeguards against rapid trading. Beginners should test this code in a simulated environment or on Binance’s testnet before considering any use with real funds. Also, the above code uses market orders, which execute immediately at the current price and only run once. For continuous trading, you’d put it in a loop or scheduler. Images below show what the sample output would look like: The sample output shows how the trading bot reacts to market conditions using the RSI indicator. When the RSI drops below 30, as seen with “Latest RSI: 27.46,” it indicates the market may be oversold, prompting the bot to place a market buy order. The order details confirm a successful trade with 0.001 BTC purchased. If the RSI is higher, such as “41.87,” the bot prints “RSI not low enough to buy,” meaning no trade is made. This logic helps automate entry decisions, but the script has limitations like no sell condition, no continuous monitoring and no real-time risk management features, as explained previously. Step 4: Implement risk management Risk control is a critical component of any automated trading strategy . Ensure your bot includes: Stop-loss and take-profit mechanisms. Position size limits to avoid overexposure. Rate-limiting or cooldown periods between trades. Capital allocation controls, such as only risking 1–2% of total capital per trade. Prompt your GPT with instructions like: “Add a stop-loss to the RSI trading bot at 5% below the entry price.” Step 5: Test in a paper trading environment Never deploy untested bots with real capital. Most exchanges offer testnets or sandbox environments where trades can be simulated safely. Alternatives include: Running simulations on historical data (backtesting). Logging “paper trades” to a file instead of executing real trades. Testing ensures that logic is sound, risk is controlled and the bot performs as expected under various conditions. Step 6: Deploy the bot for live trading (Optional) Once the bot has passed paper trading tests: Replace test API keys: First, replace your test API keys with live API keys from your chosen exchange’s account. These keys allow the bot to access your real trading account. To do this, log in to exchange, go to the API management section and create a new set of API keys. Copy the API key and secret into your script. It is crucial to handle these keys securely and avoid sharing them or including them in public code. Set up secure API permissions (disable withdrawals): Adjust the security settings for your API keys. Make sure that only the permissions you need are enabled. For example, enable only “spot and margin trading ” and disable permissions like “withdrawals” to reduce the risk of unauthorized fund transfers. Exchanges like Binance also allow you to limit API access to specific IP addresses, which adds another layer of protection. Host the bot on a cloud server: If you want the bot to trade continuously without relying on your personal computer, you’ll need to host it on a cloud server. This means running the script on a virtual machine that stays online 24/7. Services like Amazon Web Services (AWS), DigitalOcean or PythonAnywhere provide this functionality. Among these, PythonAnywhere is often the easiest to set up for beginners, as it supports running Python scripts directly in a web interface. Still, always start small and monitor the bot regularly. Mistakes or market changes can result in losses, so careful setup and ongoing supervision are essential. Did you know? Exposed API keys are a top cause of crypto theft. Always store them in environment variables — not inside your code. Ready-made bot templates (starter logic) The templates below are basic strategy ideas that beginners can easily understand. They show the core logic behind when a bot should buy, like “buy when RSI is below 30.” Even if you’re new to coding, you can take these simple ideas and ask your Custom GPT to turn them into full, working Python scripts. GPT can help you write, explain and improve the code, so you don’t need to be a developer to get started. In addition, here is a simple checklist for building and testing a crypto trading bot using the RSI strategy: Just choose your trading strategy, describe what you want, and let GPT do the heavy lifting, including backtesting, live trading or multi-coin support. RSI strategy bot (buy Low RSI) Logic : Buy BTC when RSI drops below 30 (oversold). if rsi place_buy_order() Used for: Momentum reversal strategies. Tools: ta library for RSI. 2. MACD crossover bot Logic : Buy when MACD line crosses above signal line. if macd > signal and previous_macd place_buy_order() Used for: Trend-following and swing trading. Tools : ta.trend.MACD or TA-Lib. 3. News sentiment bot Logic : Use AI (Custom GPT) to scan headlines for bullish/bearish sentiment. if “bullish” in sentiment_analysis(latest_headlines): place_buy_order() Used for: Reacting to market-moving news or tweets. Tools: News APIs + GPT sentiment classifier. Risks concerning AI-powered trading bots While trading bots can be powerful tools, they also come with serious risks : Market volatility : Sudden price swings can lead to unexpected losses. API errors or rate limits : Improper handling can cause the bot to miss trades or place incorrect orders. Bugs in code : A single logic error can result in repeated losses or account liquidation. Security vulnerabilities : Storing API keys insecurely can expose your funds. Overfitting : Bots tuned to perform well in backtests may fail in live conditions. Always start with small amounts, use strong risk management and continuously monitor bot behavior. While AI can offer powerful support, it’s crucial to respect the risks involved. A successful trading bot combines intelligent strategy, responsible execution and ongoing learning. Build slowly, test carefully and use your Custom GPT not just as a tool — but also as a mentor. 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.
Jack highlights Bitcoin's resilience amid global uncertainty and trade tensions. Bitcoin could see significant price levels by the end of 2025. Continue Reading: Bitcoin Shines Brightly as a Safe Haven in Uncertain Markets The post Bitcoin Shines Brightly as a Safe Haven in Uncertain Markets appeared first on COINTURK NEWS .
World Liberty Financial (WLFI), a cryptocurrency initiative backed by the Trump family, has added 4.89 million SEI tokens to its holdings, valued at approximately $775,000. The purchase was carried out on April 12 by one of WLFI’s trading wallets, funded with USDC transferred from the project’s main wallet, according to onchain data reviewed by blockchain analytics firm Arkham Intelligence . This particular wallet has previously been used to accumulate a variety of altcoins. Trump-Backed WLFI Expands Diverse Crypto Portfolio with Addition of SEI WLFI’s portfolio includes major cryptocurrencies such as Bitcoin (BTC) and Ether (ETH), along with other altcoins like Tron (TRX), Ondo Finance (ONDO), Avalanche (AVAX), and now Sei (SEI). According to blockchain researcher Lookonchain, WLFI has spent over $346 million acquiring 11 different tokens to date. However, the project has yet to turn a profit on any of its holdings. As of April 12, WLFI’s overall portfolio was down by $145.8 million, with its Ethereum holdings alone currently showing a loss of more than $114 million. Trump's World Liberty( @worldlibertyfi ) spent 775K $USDC to buy 4.89M $SEI again 1 hour ago. In total, #WorldLiberty has spent $346.8M on 11 different tokens—but every single one is in the red, with a total loss of $145.8M! https://t.co/IzbZt1afkV pic.twitter.com/1lZchggiK5 — Lookonchain (@lookonchain) April 12, 2025 The SEI acquisition comes amid broader speculation about the Trump family’s involvement in crypto markets. On February 3, Eric Trump posted on X (formerly Twitter), calling it “a great time to add $ETH.” The post was later edited to remove the phrase “you can thank me later.” Since that tweet, the price of Ether has fallen significantly—dropping from $2,879 to $1,611, according to CoinGecko, a decline of around 55%. WLFI’s USD1 Stablecoin Logo Quietly Appears on Coinbase, Binance, and CoinMarketCap In related developments, what appears to be the unofficial logo of WLFI’s upcoming stablecoin, USD1, has surfaced on platforms like Coinbase, Binance, and CoinMarketCap. While WLFI has not issued any official statements regarding the branding, observers believe the appearance of the icon may signal a soft rollout. USD1 new logo – official? Since it’s shown on @binance & @coinbase it should be official. I expect to see the full rollout and an announcement by @worldlibertyfi next week. What do you guys think about the Logo? Personally I think it’s pretty mid #WLFI #USD1 #TRUMP pic.twitter.com/kYLU817X6t — Fabi (@solanafabi) April 13, 2025 Last week, WLFI announced a proposal to conduct a test airdrop of its USD1 stablecoin to eligible WLFI token holders. According to the proposal, the initiative is intended to enhance visibility for USD1 ahead of its broader launch. The stablecoin, backed by U.S. Treasuries and managed by custodian BitGo, is part of WLFI’s effort to establish a regulated dollar-pegged digital asset. WLFI’s growing presence in the stablecoin space has not gone unnoticed by lawmakers. At an April 2 hearing before the U.S. House Financial Services Committee , Democratic Representative Maxine Waters expressed concern that Trump may seek to make USD1 a replacement for the U.S. dollar in federal transactions. Committee Chair French Hill echoed the sentiment, warning, “If there is no effort to block the president of the United States of America from owning his stablecoin business, I cannot support this bill and urge others not to either.” The post Trump-Linked Crypto Project WLFI Adds $775K in SEI Tokens to Its Portfolio appeared first on Cryptonews .
First Digital Labs has released a new attestation report confirming that its FDUSD stablecoin is fully backed despite ongoing fraud accusations from Tron founder Justin Sun. According to the report published on Apr. 14, reserves of equal value, which include more than $1.74 billion in U.S. Treasury bills and $603 million held in overnight repurchase agreements, match First Digital USD’s ( FDUSD ) total supply of 2.58 billion tokens. Additional assets include fixed deposits across multiple jurisdictions. The company has reaffirmed that all FDUSD reserves are held in bankruptcy-remote accounts and are never mixed with company funds. It added that over $1 billion worth of FDUSD has been redeemed to date without incident. The latest $FDUSD attestation reports are now available on our website: https://t.co/IpSw33lpGQ At @FirstDigitalHQ , our commitment to financial transparency, accountability and client asset protection remains unwavering. To reinforce this commitment, we appoint two reputable… — First Digital Labs (@FDLabsHQ) April 14, 2025 This comes just days after Justin Sun accused First Digital Trust of embezzling nearly $500 million in client funds. According to Sun, the firm, along with a network of partners including Dubai-based Aria DMCC, deceived the stablecoin’s issuer into wiring the funds to an unrelated entity. He claims the money was re-routed through a fraudulent address switch and partially deposited into a Hong Kong account called “Glass Door.” You might also like: ‘Typical Justin Sun smear campaign’: First Digital denies allegations, threatens legal action Sun named several individuals allegedly involved and called the scheme a “major international financial fraud,” comparing it to a classic crypto wallet exploit. He also hosted a livestream and met with Hong Kong regulators to present evidence . First Digital Trust has denied all accusations and responded by filing a defamation lawsuit in Hong Kong’s High Court. The company is seeking to stop Sun from repeating the claims and is demanding retractions and damages. Earlier this month, the controversy caused the FDUSD to briefly lose its peg, falling as low as $0.87. At the time of writing, the stablecoin was trading at $0.99 after recovering. Issued by FD121 Limited and overseen by First Digital Trust, FDUSD has gained traction as a fiat-backed, regulated stablecoin. It is currently available on Ethereum ( ETH ), BNB Chain ( BNB ), Solana ( SOL ), and Sui ( SUI ). As the legal dispute unfolds, First Digital Trust has said that it will continue publishing regular attestations and working with independent firms to provide transparency into its reserves. Read more: Report: Synthetix’s sUSD depegging due to governance upgrade and loss of incentives
Chainlink’s integration of Pi Network into its Data Streams expands access to real-time pricing data and market feeds for Pi Coin (PI). PI tokens can now operate across major blockchains
As crypto leaders like Ethereum (ETH) and Solana (SOL) dominate headlines, a lesser-known contender is gaining traction under the surface: MAGACOINFINANCE . While ETH and SOL remain institutional darlings, MAGACOINFINANCE is turning heads across retail and early-stage investor circles with a mix of momentum, narrative, and structure. Other notable tokens like TON , Hedera (HBAR) , and Bitcoin Cash (BCH) continue delivering network improvements and solid technical progress, but MAGACOINFINANCE is bringing something different to the table—early access with high upside and growing visibility. LIMITED SPOTS — JOIN 2025’S BIGGEST PRESALE! MAGACOINFINANCE – From Presale Quiet to Community Surge Stage 6 is officially behind it. Stage 7 is now live, with MAGACOINFINANCE priced at just $0.0002908 —a fraction of its expected listing value of $0.007 . That puts a 25x ROI on the table for anyone entering at current levels. More importantly, the token is gaining serious momentum. From Telegram growth to mentions across X (formerly Twitter) and trading forums, MAGACOINFINANCE has transitioned from silent presale to high-traction token. Traders are calling it one of the most active launches of Q2—and it hasn’t even been listed yet. While ETH and SOL continue building in the background, MAGACOINFINANCE is moving aggressively, with retail interest growing faster than most expected. ACT NOW — STAGE 6 SOLD OUT MAGA50X Bonus Still Open — 50% Extra Tokens Stage 7 participants can still access the MAGA50X bonus for a 50% increase in token allocations. This limited offer is expected to close quickly as current momentum continues into April’s final stretch. TON, HBAR, and BCH Show Continued Growth TON blends messaging functionality with blockchain scalability Hedera (HBAR) excels in low-latency enterprise applications Bitcoin Cash (BCH) remains a go-to for peer-to-peer digital payments FINAL HOURS: CLAIM 50% EXTRA BONUS — CO-DE MAGA50X Conclusion While ETH and SOL remain the benchmarks for long-term growth, tokens like TON , HBAR , and BCH continue to support infrastructure development. But MAGACOINFINANCE is quickly becoming April’s standout altcoin—moving from quiet presale to real contender, and attracting attention with every passing day. Website: magacoinfinance.com Twitter/X: https://x.com/magacoinfinance Continue Reading: Is MAGACOINFINANCE Quietly Catching Up to ETH and SOL in April?
Cardano founder Charles Hoskinson delivered a new message to the community on April 12, declaring that the Cardano ecosystem has reached full decentralization while hinting at a potential step back from active involvement. In a livestream titled “See you on the other side”, Hoskinson reflected on a decade-long journey with Cardano, praised recent governance milestones, and announced plans for a perilous personal expedition. Cardano Fully Decentralized, Hoskinson Steps Back Briefly Speaking from his home office in Colorado following a trip to Paris , Hoskinson opened with a candid statement: “This time it’s to go somewhere to do something that is quite dangerous—so much so there is a possibility of death.” He characterized the livestream as a precaution, a chance to reflect on what has been built in the event something were to go wrong. While he reassured viewers that he expected to return safely, the tone of the address underscored a transition, both personal and professional. The central focus of Hoskinson’s message was the formal maturation of Cardano’s governance infrastructure. After more than a decade of development, he asserted that Cardano has now entered a fully decentralized phase, citing recent constitutional and institutional advancements made possible under the Voltaire governance framework. “We have passed a constitution both through a constitutional convention and an on-chain ratification,” he said. “We have passed an info action approving a roadmap. There are almost a thousand DREs [Delegated Representative Entities] registered and an interesting distribution of power amongst them.” These milestones mark a significant shift for Cardano, effectively transferring decision-making authority from the founding entities to the broader community. A transitional constitutional committee—partially elected—is currently in place, with fully democratic elections scheduled for later in the year. Budget reconciliation among DRAPs (Delegated Representative Action Plans) is ongoing and expected to conclude within the next 60 to 90 days. Hoskinson emphasized the significance of this structural shift: “I wanted to build something where I could spend my entire life working on it, but I didn’t want to be a dictator or a king.” He likened Cardano’s trajectory to Bitcoin’s early evolution, referencing Satoshi Nakamoto ’s departure from Bitcoin development as a precedent for decentralized growth. The founder also praised the ecosystem’s increasing technical plurality, highlighting the recent node diversity workshop in Paris. There, he met with teams from Pragma, TXPipe, Blink Labs, and Harmonic—independent development groups contributing alternative node implementations to strengthen the protocol’s resilience. “It was really impressive to spend some time with them and see them,” he said. “The end result of those conversations is basically an assurance that we will have multiple independent implementations by independent teams in the Cardano ecosystem.” In a notable moment of cross-chain collaboration, Hoskinson mentioned that even members of the Ethereum community were present at the workshop to discuss interoperability and client diversity. This broader dialogue reflects Cardano’s ambition to move beyond its insular beginnings and into a more heterogeneous blockchain environment. While affirming Input Output Global (IOG)’s continued presence in the ecosystem, Hoskinson made clear that the organization’s prominence would now be subject to the will of the community: “You ultimately get to decide how prominent that role is whether it be involved in core infrastructure or simply building on top of the protocol.” A New Era Hoskinson also discussed the growing enthusiasm around Midnight, a new privacy-oriented blockchain protocol under the Cardano umbrella, describing it as a potential gateway for “millions of users” into the ecosystem. He portrayed hybrid applications—bridging Bitcoin, Ethereum, Solana, and Cardano to Midnight—as a promising direction for the space. Amid these technical updates, Hoskinson’s remarks turned reflective and philosophical. At 37, he noted that he now finds himself at a liminal point—not young, not old—and is increasingly seeking fulfillment outside the crypto sphere. “I’ve been chained down for the last decade,” he admitted, referencing his ventures into ranching, synthetic biology, and even fringe endeavors like the “alien salvage expedition in Papua New Guinea.” This upcoming venture, however, stands out in its severity. Although he declined to specify its nature, he admitted that it’s “one of the most challenging things I’ve ever done in my entire life,” and that it has been in preparation for over a year. “If I survive—which is very likely—I will record it and put it up on Twitter when I return,” he said. Hoskinson framed the journey as both a personal test and a necessary mental reset before entering the “long brutal march” of the next Cardano era, citing Midnight , Hydra scalability , Minotaur’s AVS (Active Validator Set) ambitions, and the roadmap’s transition to full realization. “Cardano’s roadmap is the best it’s ever been,” he asserted, referencing the system’s emerging functionality as a Bitcoin DeFi platform and its commitment to scalable governance. Yet behind the achievements lies a sense of fatigue with the broader crypto industry. Hoskinson expressed disenchantment with the market’s narrow focus on price movement at the expense of innovation and impact. “Every accomplishment doesn’t matter ]…] everything is chained to whether the price goes up or the price goes down. You have no idea how thoroughly boring that has become.” He concluded with a reaffirmation of Cardano’s resilience and a tacit acknowledgment that his role may soon evolve. “Cardano, like Bitcoin before it, is durable. It’s here to stay. All elements of centralization have been removed… that was my life’s work, and I’m proud of that.” At press time, ADA traded at $0.6452.