OVERLOOKED (Overlooked) news

What is Bittensor Crypto (TAO)? A Complete Guide to the Decentralized OpenAI

While much of the market is still licking its wounds from the latest downturn, TAO crypto has staged a stunning comeback, drawing renewed interest from both institutional and retail investors. The buzz is driven by a game-changing move from Grayscale, fresh innovations with subnet tokens, and a surge in price that’s outpacing the competition. In this guide, we’ll break down what’s driving TAO crypto’s latest rally, explain what makes Bittensor (TAO) unique, uncover how TAO’s subnet tokens work, analyze the latest price action, and look at what could be next for this red-hot crypto. Source: CoinMarketCap What is TAO Crypto (Bittensor)? TAO crypto is the native token of Bittensor, a decentralized, open-source protocol that’s revolutionizing artificial intelligence and machine learning by building a permissionless AI network. Unlike other projects, Bittensor incentivizes anyone—from developers to data scientists—to contribute AI models and computational resources, earning TAO crypto in return. Key features of TAO crypto and Bittensor: Decentralized AI Marketplace: Anyone can join or use AI services without central gatekeepers. Open Participation: TAO crypto powers everything from staking to governance, forming the backbone of its unique incentive system. Transparent Rewards: Contributors are paid in TAO crypto according to their model’s value and network impact. This innovative ecosystem is what’s making TAO crypto such a compelling pick in the ever-growing world of AI and DePIN (Decentralized Physical Infrastructure Network) tokens. How Does TAO Crypto Work? At its core, TAO crypto uses a system called “Proof of Intelligence.” Here’s how it works: Subnets: Bittensor’s network is divided into subnets, each focused on a different aspect of AI, like language or vision. Validators & Miners: Validators review miners’ AI model outputs. The best performing miners get the most rewards in TAO crypto. Transparent, On-Chain Accountability: All transactions, rewards, and model scores are recorded on-chain, ensuring fairness and transparency. This setup encourages continuous improvement of AI services fueled by the desire to earn more TAO crypto—aligning the network’s growth with the interests of every participant. TAO Tokenomics: Supply, Emissions, and Reward Structure A major factor differentiating TAO crypto is its transparent, evolving tokenomics. In 2025, TAO crypto features: Max Supply: Capped at 21 million TAO, similar to Bitcoin—a design that encourages scarcity-driven value over time. Minting Mechanism: About 7,200 TAO crypto are newly minted every day, divided as incentives for miners (model providers) and validators (model judges), and further allocated across subnets according to on-chain performance ranking. Halving Event: This emission rate will be cut in half in December 2025, mirroring the Bitcoin halving model. This pivotal event increases supply scarcity, prompting heightened competition among miners and potentially driving up TAO crypto’s price. Subnet Incentive Distribution: The largest share of new TAO crypto goes to the best-performing subnets, as measured by validator scoring, with rewards auto-adjusted based on subnet productivity and liquidity ratios. Staking Economy: Users can stake TAO for subnet tokens, fueling new investment opportunities and adding utility across the growing Bittensor ecosystem. These mechanics ensure ongoing demand for TAO crypto, align digital labor with network growth, and create economic incentives for continuous AI improvement. For investors and users, understanding TAO crypto tokenomics is key to grasping both the scarcity and growth potential at play. Why TAO Subnet Tokens Could Be a Hidden Gem in Q4 2025 A rapidly growing trend in the TAO crypto ecosystem is the rise of subnet tokens. These assets are quickly attracting attention, but according to industry insights, subnet tokens remain “the most overlooked asset class” in crypto—even as they drive some of the biggest opportunities in the space. How TAO Subnet Tokens Work Subnet tokens stand apart from typical crypto assets in several ways: Priced in TAO Crypto: The core innovation is their denomination—they’re not pegged to dollars or stablecoins, but to TAO crypto itself. Their value is set by liquidity ratios in automated market maker (AMM) pools tied to TAO. Supply Dynamics: The more valuable a subnet token becomes against TAO crypto, the higher its issuance, attracting more miners and computational power to that subnet. Performance-Driven: The best performing subnets—determined by transparent validator scoring—attract more mining and higher demand. Every day, about 7,200 TAO crypto are distributed, but this will halve soon with the upcoming Bittensor halving event in December 2025. Heightened competition means miners crowd top subnets, and subnet token prices can soar on quality service and demand. Why Subnet Tokens Matter for TAO Crypto Price Speculation & Utility: Many subnets, like Chutes, Ridges, and Gradient (often backed by top venture capitalists), are developing specialized AI products, creating diverse use cases and new value streams. DEX Innovations: Platforms like Taofi’s DEX now allow swapping and bridging of subnet tokens directly, making it easier for users and investors to speculate and participate. Valuation Tracking: To spot future winners, track subnet token price growth versus TAO crypto, monitor Alpha Distribution Ratio (ADR), and watch staking pool participation. Those with sustainable high issuance and business growth have the best upside. As more use cases and revenue are generated around subnets, the entire subnet sector’s market cap can be a direct engine for TAO crypto price growth. TAO Crypto Price: 30% Surge After the Crypto Crash Following a sharp market correction last month, TAO crypto demonstrated rare strength by quickly rebounding over 30%. While many altcoins were stuck in the red, TAO crypto saw explosive action driven by: Institutional Endorsement: Grayscale’s SEC filing for a TAO Trust has brought institutional credibility and fresh inflows. Volume Spike: Trading volume jumped 197% in a single day as investors flocked to gain exposure to TAO crypto. Rising DePIN Influence: Bittensor now commands more than 33% of the sector’s mindshare. Social Buzz: TAO crypto trended across Twitter and Reddit, with the community fueling demand and discovery. Market analysts attribute this robust performance to TAO crypto’s compelling fundamentals and the expanding demand for decentralized AI infrastructure. TAO Crypto Price Prediction: What’s Next for Price? The technical outlook for TAO crypto remains bullish this October: Falling Wedge Breakout Looms: Since October 2024, TAO crypto has consolidated within a falling wedge pattern, often a precursor to a major bullish breakout. Potential Upside: If confirmed, technical models target a move as high as $1,353—that’s a 236% gain from recent levels, eclipsing April 2024’s ATH of $1,248. Key Levels: Watch for a break above $402.30 and strong closes above $499.60 for trend confirmation. Healthy Momentum: RSI is 63, leaving plenty of space for further price appreciation. Support Zones: Failing a breakout, watch $219.60 and $130.30 as possible support. TAO crypto’s price is currently benefitting from strong buy-side volume, institutional news, and ongoing sector leadership, but as always, traders should stay alert for volatility in both directions. Conclusion: Is TAO Crypto Set for More Gains in 2025? TAO crypto has become one of 2025’s most exciting stories, blending the hottest trends in decentralized AI, strong technicals, pioneering subnet tokenomics, and a green light from institutional giants like Grayscale. With huge potential in the subnet presale arena and a supportive market structure, TAO crypto may continue outperforming—though volatility and sector shifts mean active monitoring is key. Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

Zcash Price Skyrockets Past $150: What’s Next for ZEC Traders

Zcash (ZEC) , one of the longest-standing privacy-focused cryptocurrencies, has burst back into the spotlight after surging past the $150 mark. The move represents a dramatic rally for a coin that had been trading below $100 not long ago, catching many traders and investors by surprise. Several developments have fueled this momentum, including renewed institutional attention from Grayscale and expanded cross-chain access through THORSwap. Together, these factors have sparked fresh debate over Zcash’s place in the broader crypto market and what the future might hold for ZEC holders. The sudden upswing has left traders asking the obvious question: is this just another sharp rally, or the beginning of a longer-term comeback for ZEC? What Is Zcash (ZEC)? Zcash, often known by its ticker ZEC, is a cryptocurrency built with one central promise: privacy. Launched in 2016, it was designed as a fork of Bitcoin, sharing many of the same principles but with one key addition — the option to shield transaction details. While Bitcoin and many other blockchains are fully transparent, Zcash uses zero-knowledge proofs, called zk-SNARKs, to allow transactions to be verified without exposing information such as the sender, recipient, or amount. This makes it possible to send payments either publicly, like a standard blockchain transaction, or privately, with full encryption. The idea behind ZEC is to give users financial freedom while maintaining regulatory compatibility. Addresses can be transparent when disclosure is required but shielded when privacy is desired. Over the years, this balance has made Zcash a leading name in the ongoing debate around personal privacy, financial transparency, and the role of digital assets in society. ZEC Rockets Past $150 in a Flash Zcash (ZEC) Price Today Source: CoinmarketCap Zcash has staged one of its sharpest moves in years, breaking above the $150 mark after spending much of 2024 and early 2025 trading below $100. In just a short span, ZEC nearly doubled in value, climbing from around $95 to intraday highs near $153. The surge represents more than a technical breakout. For months, Zcash had been stuck in a range where trading activity was muted and market interest limited compared to higher-profile coins. The sudden jump not only reignited attention from long-term supporters but also drew new eyes to a project that many assumed was fading from relevance. In historical context, ZEC is still far from its all-time high of more than $5,000 back in late 2017, but the recent run has shown that the token still carries weight in the market. Traders who had written it off are now reassessing its potential role as both a speculative asset and a symbol of privacy in crypto. Why ZEC Is Suddenly Surging EC’s sharp price surge hasn’t come out of nowhere. Several fresh developments have converged to breathe new life into the project and spark renewed market interest. ● Grayscale’s renewed focus on Zcash: Grayscale, one of the most recognized names in crypto investment products, reopened private placements for its Zcash Trust. This move gave institutional investors easier access to ZEC exposure and signaled confidence in the coin’s long-term role. ● THORSwap integration: The addition of Zcash to THORSwap brought ZEC into the cross-chain trading world, letting users swap it directly with assets on other blockchains. This boosted liquidity and made ZEC more attractive for traders who prefer decentralized access. ● Influence of high-profile voices: Comments from well-known figures such as Naval Ravikant, who described Zcash as “insurance against Bitcoin,” added fuel to the rally. These endorsements tend to ripple quickly across social media, catching the attention of retail traders. Put together, these catalysts created a surge of institutional visibility, greater trading flexibility, and community buzz — all combining to push ZEC back into the spotlight. The Buzz Surrounding ZEC’s Rally ZEC’s sudden climb above $150 caught much of the market off guard, and the response has varied across different groups of investors and observers. ● Retail traders: Many small investors who had overlooked Zcash are taking a second look. The breakout has revived speculation, with some seeing it as a chance for quick gains and others treating it as proof that privacy coins still have a role to play. ● Institutional players: Grayscale’s move to reopen private placements in its Zcash Trust has drawn institutional eyes back toward ZEC. While the product remains relatively small, it provides a clear signal that larger investors still view Zcash as worth holding in a diversified crypto portfolio. ● Crypto community and social channels: Across forums and social media, the surge has reignited debates. Supporters argue the rally is overdue recognition of Zcash’s fundamentals, while skeptics question whether this is sustainable or just another short-lived pump. What ties these reactions together is the element of surprise. ZEC was quiet for a long time, and its sudden breakout has reminded traders that the privacy coin sector still has the power to spark excitement. What’s Next for ZEC Traders? After ZEC’s breakout above $150, the big question is whether this move marks the start of a longer trend or just a short-lived burst of excitement. Traders and investors will need to weigh both the opportunities and the risks. ● Possible upside: If momentum continues, ZEC could test resistance levels around $175–$200. Renewed interest from institutions, combined with integrations like THORSwap, may help sustain demand and keep the coin in active rotation. ● Potential pullbacks: Given the speed of the rally, corrections are a real possibility. A drop back toward $120—or even $100—would not be unusual in a volatile market. Traders should be prepared for sharp reversals. ● Broader outlook: Beyond near-term price swings, Zcash’s future depends on whether it can grow real-world usage of shielded transactions and maintain regulatory compatibility. Progress on these fronts could determine whether ZEC becomes a stable fixture in crypto portfolios or remains more of a speculative play. For traders, the path forward is likely to involve high volatility, but also the chance to capitalize on renewed interest in one of the oldest privacy coins in the market. Conclusion Zcash’s surge past $150 has reminded the crypto world that privacy coins, while often quiet, can still capture attention in dramatic fashion. Backed by catalysts like Grayscale’s renewed activity, THORSwap’s integration, and the ripple effect of influential voices, ZEC has staged one of its sharpest comebacks in recent memory. The rally has energized traders, but it also highlights the uncertainties that continue to surround Zcash. Regulatory pressure, adoption hurdles, and volatility remain part of the picture. Whether ZEC can build on this moment will depend on how it balances its privacy-driven mission with the realities of a fast-changing market. For investors, the message is straightforward: Zcash may not dominate headlines every week, but its ability to surprise the market makes it a coin worth watching. Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

A Compendium of Cryptocurrency Important Milestones

From a mysterious whitepaper to the trading floors of Wall Street, this is the definitive story of crypto's chaotic and revolutionary journey. 2000s - 2010: The First Decade Being the splendid epitome of innovation, cryptocurrencies have become the fastest-growing and the best-performing asset class of the decade. Let’s look back at the history of the booming crypto market and take a moment to appreciate how far we’ve come. The 2000s: The Inception of Bitcoin Even though some may think that the pseudonymous Satoshi Nakamoto laid the groundwork for the development of crypto, he was indeed inspired by the concept of public key cryptography, first introduced to the public by two Stanford scholars in 1976, and electronic money, which was first explored by the American cryptographer David Chaum in the 1980s. The 1990s saw several attempts at building an anonymous, competent digital cash system; all of them have undoubtedly helped shape the future of cryptocurrencies. However, prior to Bitcoin, there was another disruptor of the global financial system: the so-called “dot-com bubble”. The Internet we’re now so familiar with was once a life-changing innovation that, when piled up with excessive speculation in the housing market in the U.S. and other financial instabilities across the world, had triggered the Great Financial Crisis in 2008. Bitcoin came into existence the same year, trying to untangle the problem while pursuing freedom in any way imaginable. 2008 - 2009: Bitcoin Network Nakamoto purchased the domain Bitcoin.org and published the Bitcoin whitepaper there in 2008. This paper describes the Proof-of-Work (PoW) consensus application for the Bitcoin Network, a “peer-to-peer electronic cash system” with a limited supply (21 million) of its tokens. The genesis block was mined in 2009, releasing 50 Bitcoin into circulation. A message encrypted in the genesis block referred to the 2008 financial crisis and how governments rescued banks. Nakamoto was also the first to conduct a Bitcoin transaction on the 12th of January, 2009. Bitcoin white paper. Source: bitcoin.org One thing that stood in the way of Bitcoin enthusiasts this year was Bitcoin mining difficulty, which materialised into the amount of computer power and energy consumed. Bitcoin mining requires specialised hardware machines with exceptionally strong GPUs; it is this inherent characteristic of PoW that keeps the network secure and fair, but also makes Bitcoin the object of environmental criticism. 2010: Bitcoin Pizza Day One key event for Bitcoin - and maybe for the whole crypto market as well - occurred on May 22, 2010, when a guy in Florida paid 10,000 BTC for his two Papa John’s pizzas. That was the first Bitcoin commercial transaction, despite the fact that the first two exchanges, BitcoinMarket.com and Mt.Gox, were established, allowing for the first Bitcoin public trade at US$0.03/BTC earlier this year. Mysteriously, Satoshi Nakamoto disappeared around December 2010. Throughout the years, several have claimed to be Nakamoto, but his or their true identity has never been revealed. 2011-2014: The First of Everything Else You might very well think of this period as the crypto space’s stepping stone, where new concepts were developed and refined gradually. 2011: The First Altcoins As Bitcoin started to capture public attention, others created their own tokens as the alternative of Bitcoin - now generally known as “altcoins”. Two first altcoins officially acknowledged were Namecoin (NMC) by Vincent Durham and Litecoin (LTC) by Charlie Lee, both forked from the Bitcoin source code and still active today. Litecoin is currently the 25th largest cryptocurrency by market capitalisation. The oldest crypto wallets are software wallets named BitPay and Electrum. As of today, Electrum remains Bitcoin-only, whereas BitPay has expanded their services over the years to support other cryptocurrencies. 2011 also marked a new milestone in Bitcoin price growth as it reached parity with the US-Dollar (USD), Euro (EUR) and the British Pound Sterling (GBP), one after the other. That might be the reason behind WikiLeaks’ decision to accept donations in Bitcoin. 2012: BTC First Halving In addition to Bitcoin’s finite supply, the design of Bitcoin consolidates the theory of scarcity with one pre-programmed feature: Bitcoin Halving, which is set to take place roughly every four years. The block emission was reduced from 50 BTC per block to 25 BTC per block, contributing to the 100x increase in BTC price from US$12 in November, 2012 to US$1,217 one year later. Bitcoin slowly gained traction, leading to the establishment of the Bitcoin Foundation. A record of 1,000 merchants began to accept BTC payment via BitPay. Coinbase had successfully raised US$600,000 for formation. Founded by Mihai Alisie and Vitalik Buterin, Bitcoin Magazine published its first issue in the same year. Regarding sovereign adoption, Estonia was the first economy to use blockchain technology for their digital IDs project. 2013: The First ICO 2013 was a remarkable year where Bitcoin surpassed the US$1,000 mark and Reddit accepted BTC for gold membership. Darknet market Silk Road experienced a shut-down with 26,000 BTC confiscated by the FBI. In October, the first Bitcoin ATMs were installed in Vancouver, Canada, converting Bitcoin into cash and vice-versa. Most significant was the new type of crowdfunding known as Initial Coin Offering (ICO), prompted by the successful fundraising of Mastercoin (OMNI). The project received 4,740 (around US$500,000) Bitcoin, mostly from members of the bitcointalk.org forum, to develop their platform. Little did Mastercoin’s founders know that their idea had set the trend for multiple blockchain projects in the following years, and to some extent - paved the way for the emergence of Ethereum two years later. 2014: The First NFT and Stablecoins The start of 2014 was quite gloomy as Mt.Gox, the original Bitcoin exchange that covered 70% of the world's transactions, was hacked and filed for bankruptcy. 850,000 Bitcoin (US$460 million at the time) stayed unaccounted due to this event, bringing the needed awakening for unwary crypto adopters. That caused a 50% drop in Bitcoin price; people started to shift their focus to other blockchain applications: NFT, stablecoin, privacy coin and hardware wallet: ● January 2014: DASH (originally XCoin), the first privacy coin, i.e. a coin designed to obscure the transaction flow, was created as a fork of Bitcoin; ● May 2014: “Quantum”, the first NFT ever, was minted by the digital artist Kevin McCoy on the Namecoin blockchain; ● July 2014: bitUSD, a token issued on the BitShares blockchain, defines the term stablecoin by pegging its value to the market value of local currencies such as the US-Dollar. Another invention announced the same month was the first hardware wallet for crypto by Trezor, with Ledger quickly following the path. Ethereum concluded the month with 31,591 Bitcoin raised after 42 days; ● September 2014: NuBits was the second stablecoin to be created. This month also saw the first over-the-counter (OTC) Bitcoin swap approved by the U.S. Commodity Futures Trading Commission (CFTC); ● November 2014: Tether came up with the first 100% real-asset backed stablecoin, USDT. Undeterred by the market confusion, many listed companies still announced the new Bitcoin payment option, including Stripe, Paypal, Dell, Microsoft, etc. 2015-2018: The Rise of Cryptocurrencies Numerous teams bootstrapped the development of their cryptocurrency projects through ICOs, aiming to become the successor of Ethereum. 2015: The Origin of Ethereum Ethereum’s first mainnet - Frontier - went live in 2015. That is approximately two years after Vitalik Buterin and his team proposed their whitepaper. Subsequently, they put forward the proposal for the ERC-20 token standard, which is absolutely critical for the birth of smart contracts and more diverse blockchain applications. Ethereum’s price swayed under US$1, but investors all agreed on the limitless potential of the project. Source: Coin Gabbar on X This was in general a positive year for cryptocurrencies since Coinbase became the first regulated crypto exchange in the U.S. and another U.S.-based exchange, Gemini, was launched. Bitcoin was featured on The Economist’s cover, referred to as “The Trust Machine”, and continued to be Stripe’s main focus as the payment startup started the BTC payment integration for merchants. Source: Economist Furthermore, financial institutions’ interest in blockchain technology grew substantially: J.P.Morgan, Goldman Sachs and Bank of America made a pact to create the blockchain framework across the banking industry, while NASDAQ conducted the first blockchain trial. 2016: The DAO Hack Homestead went live as Ethereum’s second mainnet. A new form of trustless organisation was established on the Ethereum blockchain thanks to the invention of smart contracts. The project name, Decentralised Autonomous Organisation (The DAO), is now used to describe all community-led entities built on blockchain. The hype surrounding this revolutionary project lies in its unique design of equal authority distribution and the fact that it was the first high-profile project on the Ethereum network, having raised US$150 million in Ethereum at the time. However, before it truly took off, a hacker managed to exploit vulnerabilities in its code, stealing 3.6 million ETH from The DAO’s fund. The Ethereum community as a whole took a big hit because 14% of the circulating Ethereum was stored in The DAO’s smart contracts when the attack occurred. Several questions concerning the security and even the viability of the one-year-old network arose, urging miners, exchanges and node operators to implement the Ethereum hard fork at block 192,000. Bitcoin underwent the Second Halving, which reduced the amount of BTC produced per block from 25 to 12.5. It was not the sole reason behind Bitcoin’s record-breaking price in 2017, but definitely was one major driver. Chicago Mercantile Exchange (CME), the world’s leading derivatives marketplace, launched the BTC Price Index - signalling intensified institutional awareness and presence in the market. 2017: The Year of ICOs Many would call 2017 the highlight in the history of cryptocurrencies. A total of 435 ICOs had taken place, raising a whopping US$5.6 billion. The most famous ICO was Filecoin, which was also the first to be SEC-compliant with the legally binding SAFT (Simple Agreement for Future Tokens). Binance was founded by Changpeng Zhao in mid-2017 and received US$15 million in an ICO the same year, but China went against the current with its ICO ban in September. DeFi sector (Decentralised Finance) started to emerge with the launch of the main crypto-collateralised stablecoin DAI. The total value locked (TVL) of DeFi hit US$1 million for the first time. The first NFT Game - CryptoKitties - went viral, pushing Ethereum’s transaction capacity to its limit. Meanwhile, Japan officially recognised Bitcoin as a currency in 2017, providing the most progressive regulatory climate for the market. The first bank to sell Bitcoin directly to its customers is the Switzerland-based private bank Falcon. CME and CBOE (Chicago Board Options Exchange) announced their Bitcoin Futures, meaning big players in the traditional capital markets had joined the game. 2018: The First Bitcoin’s All-Time High A few days into the new year, Bitcoin price set its new all-time high at US$19,700. Other cryptocurrencies greatly benefited from this achievement. The total market cap of all cryptocurrencies broke the record at US$820 billion, with VCs’ investments in the market hitting US$1 billion. Bitget was founded in 2018, preparing for the employment of social trading in crypto. Fidelity launched its crypto institutional platform, and the Swiss authorities added BTC to their tax payment options. Other regulatory bodies started to support the use of blockchain: the European Union committed US$300 million for blockchain project development and the South Korean government US$9 million. 2019 - Present: Becoming an Integral Part of the Global Economy Countless criticisms later, the crypto market has proven it's here to stay. Finally recognized as a new asset class worldwide, cryptocurrencies are becoming integral to the global financial system. Obviously, much more work remains to be done, but the whole journey has been impactful and completely astounding! 2019: Scalin’ Time! This is the year when the number of all Bitcoin transactions amounted to 400 million, and the number of daily Ethereum transactions exceeded 1 million. Facebook, one of the world’s largest companies in valuation, introduced their digital currency plan, whilst the giant J.P.Morgan launched the first bank-backed token in the U.S., JPM Coin. One disturbing theme of the year was security. Seven crypto exchanges were hacked, including Binance and BitHumb. The value of compromised funds added up to nearly US$160 million, amplifying the trust issues raised by OneCoin’s ponzi scheme. Intercontinental Exchange’s Bakkt platform debuts physically-settled Bitcoin futures on September 23, offering institutions a new way to trade BTC. Initial uptake was slow, but it laid groundwork for regulated crypto derivatives. Also related to the theme of regulation is China’s endorsement for blockchain development and the digital yuan, even when crypto trading remained banned. 2020: DeFi Summer and Black Thursday Compound's yield farming kickstarted a DeFi boom in mid-2020, with protocols like Yearn, Uniswap, and SushiSwap driving Total Value Locked from under $1B to over $10B by year-end. High yields and new governance tokens spurred a frenzy, albeit with smart contract risks. The Ethereum Beacon Chain (Phase 0 of Ethereum 2.0 a.k.a. Ethereum PoS) launched on December 1, introducing proof-of-stake to Ethereum. Over 524,000 ETH were staked to activate the upgrade, beginning Ethereum's multi-year transition from PoW, slightly later than early projections. Meanwhile, the Black Thursday crash in March 2020 underscored crypto's resilience. Amid COVID-19 panic, Bitcoin plunged by 50% on March 12, with ETH similarly crashing and liquidating billions in positions. This extreme volatility (dubbed Black Thursday) shocked markets but was followed by a swift recovery that never looked back to the $5,330 level. Institutions began flocking to Bitcoin for the "digital gold" narrative, with MicroStrategy becoming the first corporation to hold a BTC treasury of 21,454 BTC at that time. 2021: The NFT Mania In February 2021, Tesla followed suit by disclosing a $1.5 billion Bitcoin purchase and announcing plans to accept BTC payments, validating crypto as a corporate treasury asset. Then, Coinbase (COIN) went public via direct listing on NASDAQ at an $86 billion valuation as the first major crypto exchange to have an IPO. These were definitely the main drivers behind Bitcoin's new ATH at $64,863 in April. The main theme of the year was NFTs, with an NFT artwork by digital artist Beeple selling for $69.3 million at Christie's. This marked the beginning of NFTs' explosion into the mainstream, alongside big names like CryptoPunks and Bored Apes. On a side note, the world saw the biggest bet of all time as El Salvador passed a law to adopt Bitcoin as legal tender—the first Bitcoin adoption at the nation-state level ever. Bored Ape Yacht Club historical best sales on OpenSea. Source: OpenSea In November 2021, Bitcoin peaked once more at $68,790 and Ethereum at $4,892. Both contributed to the new ATH of the total crypto market cap, which surpassed the $3T mark for the first time in history and marked the peak of the 2020-21 bull cycle. 2022: THE Crypto Crash In March 2022, a group of hackers named Lazarus Group exploited the Ronin Network (Axie Infinity's sidechain) and stole approximately $625 million in ETH/USDC. This theft—one of the largest in crypto history—rattled the GameFi sector and prompted deeper scrutiny of bridge security. Then in May, Terra (LUNA) collapsed from a $16 billion market cap as its algorithmic stablecoin TerraUSD depegged and crashed into cents, wiping out the LUNA (now LUNC) token's value. This collapse vaporized approximately $40-50 billion in market value and triggered a broader crypto credit crisis. Both events shook CeFi to its core, causing sector contagion in June, July, and August 2022. Major crypto lenders and funds filed for bankruptcy, from Celsius and Three Arrows Capital to Voyager. Taking the biggest hit was FTX. The exchange's collapse was triggered by a liquidity crisis after reports revealed its close ties to Alameda Research, which had been seriously affected by the bloodbath in H1 2022. When customers rushed to withdraw funds, FTX couldn't cover demands because it had secretly lent billions in user deposits to Alameda for speculative bets. The exchange quickly collapsed, leading to bankruptcy, regulatory scrutiny, and the arrest of CEO Sam Bankman-Fried for fraud. Amid this turmoil, many overlooked that the Ethereum Merge took place, where the chain finally switched to Proof-of-Stake consensus. Ethereum's energy usage was reduced by 99.9% consequently, and Ethereum's roadmap then turned to scaling. Ethereum consensus has changed into PoS since 2022. Source: Ethereum Energy Consumption 2023: More Regulatory Clarity March 2023 brought banking turmoil and a depeg: Silvergate Bank and Signature Bank (crypto-friendly U.S. banks) collapsed amid wider bank failures. Circle's USDC stablecoin briefly depegged to $0.88 when $3.3B of its reserves were stuck in Silicon Valley Bank, though it recovered after U.S. regulators backstopped SVB. The EU Parliament approved MiCA (Markets in Crypto-Assets regulation) on April 20, establishing a landmark regulatory framework across EU states. MiCA set licensing, reserve, and disclosure standards—the first such comprehensive regime globally. Its stablecoin rules took effect in June 2024, with wider provisions following in December 2024. In the U.S., it was all about legal disputes. The SEC charged Binance (June 5) and Coinbase (June 6) with operating unregistered exchanges and offering unregistered securities, but suffered defeats against Grayscale and Ripple. On August 29, the D.C. Circuit Court vacated the SEC's rejection of Grayscale's spot Bitcoin ETF application, calling the denial "arbitrary and capricious." This legal victory raised confidence that a U.S. spot Bitcoin ETF would finally be approved—a dramatic reversal after years of SEC refusals. Indeed, the ruling set the stage for imminent approvals in 2024. One month earlier, a federal judge ruled that XRP sales on public exchanges were not securities, which was a partial win for Ripple. 2024: Spot Bitcoin ETFs on Wall Street + Bitcoin Halving = $100K In a landmark shift, the SEC on January 10 approved the listing of 13 spot Bitcoin ETFs (after a court loss and years of industry lobbying). Firms like BlackRock and Fidelity launched ETFs, finally giving U.S. investors direct Bitcoin funds right in the first few days of the year. In the first few days of H2, the first U.S. spot Ether ETFs made their debut quite unexpectedly, signaling a more muted investor reception than Bitcoin. While March 2024 was Ethereum's show time with its Dencun upgrade to reduce L2 fees, all eyes were on April with the 4th Bitcoin halving at block #840,000. Bitcoin's block reward fell from 6.25 to 3.125 BTC, again showcasing Bitcoin's programmed scarcity. The EU's MiCA regulation kicked in for stablecoin issuers on June 30, 2024, with full scope for exchanges and other crypto services by January 2025. By the end of 2024, MiCA's regulations became fully applicable across the EU, covering all crypto asset service providers. Industry observers noted increased compliance costs but also greater institutional confidence in EU markets. In November 2024, Trump won the U.S. Election and brought the promise of "making crypto great again" to the White House, giving crypto early adopters high hopes for the industry's price growth. Bitcoin reached its 6-figure ATH for the first time in December. 2025 (Through August): BTC $124K Facing tepid uptake of its PayPal USD (PYUSD) stablecoin, PayPal announced a 3.7% yield incentive for holders in April 2025, when PYUSD's circulation was about $868 million. Then, in the wake of U.S. elections and agency changes, the SEC not only withdrew its lawsuits against major exchanges Binance, Coinbase, and Kraken, but also its appeal against Ripple. This reversal suggested a more industry-friendly approach, validating speculation that a political shift could soften crypto regulation. In July, the U.S. Congress passed the GENIUS Act, the first U.S. federal framework for payment of stablecoins. Major banks and large retailers/tech firms signaled plans to issue or partner on USD stablecoins. Around the same time, Bitcoin suddenly hit $123,092 on July 14, before reaching a new all-time high of $124,000 on August 14. Bitcoin has flipped Alphabet (Google) to be the 5th largest asset by market cap (as of August 14, 2025). Source: Companies Market Cap Conclusion From Bitcoin's humble beginnings during the 2008 financial crisis to reaching $124,496 in 2025, the cryptocurrency ecosystem has evolved from an experimental digital currency into a legitimate asset class that commands respect from institutions, governments, and retail investors alike. The journey has been marked by spectacular highs and devastating crashes, regulatory uncertainty and landmark approvals, as well as technological breakthroughs and security failures. What stands out most remarkably is crypto's resilience. Each crisis, from Mt. Gox to FTX, initially appeared to threaten the entire ecosystem, yet the market consistently emerged stronger and more mature. The infrastructure has become more robust, prompting clearer regulations, both of which have encouraged broader institutional participation. Bitcoin ETFs on Wall Street, El Salvador's legal tender adoption, and comprehensive regulatory frameworks like MiCA demonstrate that cryptocurrencies have transcended their early reputation as speculative instruments for tech enthusiasts. Looking ahead, the foundation has been laid for even greater integration into the global financial system. With major corporations holding Bitcoin on their balance sheets, traditional banks offering crypto services, and governments developing digital currencies, the question is no longer whether cryptocurrencies will survive, but how they will continue to reshape finance, technology, and society in the decades to come. The first decade was about proving viability; the next will be about defining the future of money itself. Create an account on Bitget to trade BTC, ETH, and other cryptos today! Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

A Compendium of Crypto Milestones: Becoming an Integral Part of the Global Economy

From Bitcoin's humble beginnings during the 2008 financial crisis to its new all-time high at $19,700 in 2018, cryptocurrencies have become the fastest-growing and best-performing asset class of the decade. Countless criticisms later, the crypto market has proven it's here to stay. Finally recognized as a new asset class worldwide, cryptocurrencies are becoming integral to the global financial system. Obviously, much more work remains to be done, but the whole journey has been impactful and completely astounding! 2000s-2025 Key Milestones The 2000s: The Inception of Bitcoin ● 2008-2009: Bitcoin Network ● 2010: Bitcoin Pizza Day 2011-2014: The First of Everything Else ● 2011: The First Altcoins ● 2012: Bitcoin First Halving ● 2013: The First ICO ● 2014: The First NFT and Stablecoins 2015-2018: The Rise of Cryptocurrencies ● 2015: The Origin of Ethereum ● 2016: The DAO Hack ● 2017: The Year of ICOs ● 2018: The First Bitcoin’s All-Time High at $19,700 2019-2025: Becoming an Integral Part of the Global Economy ● 2019: Scalin’ Time! Bitcoin reached 400M transactions ● 2020: Black Thursday, but DeFi TVL surpassed $10B ● 2021: The Bloom of DeFi-NFT-Metaverse, Bitcoin approached $70,000 ● 2022: THE Crypto Crash; Ethereum has changed into PoS ● 2023: More Regulatory Clarity ● 2024: The Year of the ETFs; Bitcoin broke the $100,000 mark ● 2025 (through August): From Viability to Ubiquity; Bitcoin surpassed $124,000 You are reading the second part of the story. Read the full story here. 2020: DeFi Summer and Black Thursday Compound's yield farming kickstarted a DeFi boom in mid-2020, with protocols like Yearn, Uniswap, and SushiSwap driving Total Value Locked from under $1B to over $10B by year-end. High yields and new governance tokens spurred a frenzy, albeit with smart contract risks. The Ethereum Beacon Chain (Phase 0 of Ethereum 2.0 a.k.a. Ethereum PoS) launched on December 1, introducing proof-of-stake to Ethereum. Over 524,000 ETH were staked to activate the upgrade, beginning Ethereum's multi-year transition from PoW, slightly later than early projections. Meanwhile, the Black Thursday crash in March 2020 underscored crypto's resilience. Amid COVID-19 panic, Bitcoin plunged by 50% on March 12, with ETH similarly crashing and liquidating billions in positions. This extreme volatility (dubbed Black Thursday) shocked markets but was followed by a swift recovery that never looked back to the $5,330 level. Institutions began flocking to Bitcoin for the "digital gold" narrative, with MicroStrategy becoming the first corporation to hold a BTC treasury of 21,454 BTC at that time. 2021: The NFT Mania In February 2021, Tesla followed suit by disclosing a $1.5 billion Bitcoin purchase and announcing plans to accept BTC payments, validating crypto as a corporate treasury asset. Then Coinbase (COIN) went public via direct listing on NASDAQ at an $86 billion valuation as the first major crypto exchange to have an IPO. These were definitely the main drivers behind Bitcoin's ATH at $64,863 in April. The main theme of the year was NFTs, with an NFT artwork by digital artist Beeple selling for $69.3 million at Christie's. This marked the beginning of NFTs' explosion into the mainstream, alongside big names like CryptoPunks and Bored Apes. On a side note, the world saw the biggest bet of all time as El Salvador passed a law to adopt Bitcoin as legal tender—the first Bitcoin adoption at the nation-state level ever. Bored Ape Yacht Club historical best sales on OpenSea. Source: OpenSea In November 2021, Bitcoin peaked once more at $68,790 and Ethereum at $4,892. Both contributed to the new ATH of the total crypto market cap, which surpassed the $3T mark for the first time in history and marked the peak of the 2020-21 bull cycle. 2022: THE Crypto Crash In March 2022, a group of hackers named Lazarus Group exploited the Ronin Network (Axie Infinity's sidechain) and stole approximately $625 million in ETH/USDC. This theft—one of the largest in crypto history—rattled the GameFi sector and prompted deeper scrutiny of bridge security. Then in May, Terra (LUNA) collapsed from a $16 billion market cap as its algorithmic stablecoin TerraUSD depegged and crashed into cents, wiping out the LUNA (now LUNC) token's value. This collapse vaporized approximately $40-50 billion in market value and triggered a broader crypto credit crisis. Both events shook CeFi to its core, causing sector contagion in June, July, and August 2022. Major crypto lenders and funds filed for bankruptcy, from Celsius and Three Arrows Capital to Voyager. Taking the biggest hit was FTX. The exchange's collapse was triggered by a liquidity crisis after reports revealed its close ties to Alameda Research, which had been seriously affected by the bloodbath in H1 2022. When customers rushed to withdraw funds, FTX couldn't cover demands because it had secretly lent billions in user deposits to Alameda for speculative bets. The exchange quickly collapsed, leading to bankruptcy, regulatory scrutiny, and the arrest of CEO Sam Bankman-Fried for fraud. Amid this turmoil, many overlooked that the Ethereum Merge took place, where the chain finally switched to Proof-of-Stake consensus. Ethereum's energy usage was reduced by 99.9% consequently, and Ethereum's roadmap then turned to scaling. Ethereum consensus has changed into PoS since 2022. Source: Ethereum Energy Consumption 2023: More Regulatory Clarity March 2023 brought banking turmoil and a depeg: Silvergate Bank and Signature Bank (crypto-friendly U.S. banks) collapsed amid wider bank failures. Circle's USDC stablecoin briefly depegged to $0.88 when $3.3B of its reserves were stuck in Silicon Valley Bank, though it recovered after U.S. regulators backstopped SVB. The EU Parliament approved MiCA (Markets in Crypto-Assets regulation) on April 20, establishing a landmark regulatory framework across EU states. MiCA set licensing, reserve, and disclosure standards—the first such comprehensive regime globally. Its stablecoin rules took effect in June 2024, with wider provisions following in December 2024. In the U.S., it was all about legal disputes. The SEC charged Binance (June 5) and Coinbase (June 6) with operating unregistered exchanges and offering unregistered securities, but suffered defeats against Grayscale and Ripple. On August 29, the D.C. Circuit Court vacated the SEC's rejection of Grayscale's spot Bitcoin ETF application, calling the denial "arbitrary and capricious." This legal victory raised confidence that a U.S. spot Bitcoin ETF would finally be approved—a dramatic reversal after years of SEC refusals. Indeed, the ruling set the stage for imminent approvals in 2024. One month earlier, a federal judge ruled that XRP sales on public exchanges were not securities, which was a partial win for Ripple. 2024: Spot Bitcoin ETFs on Wall Street + Bitcoin Halving = $100K In a landmark shift, the SEC on January 10 approved the listing of 13 spot Bitcoin ETFs (after a court loss and years of industry lobbying). Firms like BlackRock and Fidelity launched ETFs, finally giving U.S. investors direct Bitcoin funds right in the first few days of the year. In the first few days of H2, the first U.S. spot Ether ETFs made their debut quite unexpectedly, signaling a more muted investor reception than Bitcoin. While March 2024 was Ethereum's showtime with its Dencun upgrade to reduce L2 fees, all eyes were on April with the 4th Bitcoin halving at block #840,000. Bitcoin's block reward fell from 6.25 to 3.125 BTC, again showcasing Bitcoin's programmed scarcity. The EU's MiCA regulation kicked in for stablecoin issuers on June 30, 2024, with full scope for exchanges and other crypto services by January 2025. By the end of 2024, MiCA's regulations became fully applicable across the EU, covering all crypto asset service providers. Industry observers noted increased compliance costs but also greater institutional confidence in EU markets. In November 2024, Trump won the U.S. Election and brought the promise of "making crypto great again" to the White House, giving crypto early adopters high hopes for the industry's price growth. Bitcoin reached its 6-figure ATH for the first time in December. 2025 (Through August): BTC $124K Facing tepid uptake of its PayPal USD (PYUSD) stablecoin, PayPal announced a 3.7% yield incentive for holders in April 2025, when PYUSD's circulation was about $868 million. Then, in the wake of U.S. elections and agency changes, the SEC not only withdrew its lawsuits against major exchanges Binance, Coinbase, and Kraken, but also its appeal against Ripple. This reversal suggested a more industry-friendly approach, validating speculation that a political shift could soften crypto regulation. In July, the U.S. Congress passed the GENIUS Act, the first U.S. federal framework for payment of stablecoins. Major banks and large retailers/tech firms signaled plans to issue or partner on USD stablecoins. Around the same time, Bitcoin suddenly hit $123,092 on July 14, before reaching a new all-time high of $124,000 on August 14. Bitcoin has flipped Alphabet (Google) to be the 5th largest asset by market cap (as of August 14, 2025). Source: Companies Market Cap Conclusion From Bitcoin's humble beginnings during the 2008 financial crisis to reaching $124,496 in 2025, the cryptocurrency ecosystem has evolved from an experimental digital currency into a legitimate asset class that commands respect from institutions, governments, and retail investors alike. The journey has been marked by spectacular highs and devastating crashes, regulatory uncertainty and landmark approvals, as well as technological breakthroughs and security failures. What stands out most remarkably is crypto's resilience. Each crisis, from Mt. Gox to FTX, initially appeared to threaten the entire ecosystem, yet the market consistently emerged stronger and more mature. The infrastructure has become more robust, prompting clearer regulations, both of which have encouraged broader institutional participation. Bitcoin ETFs on Wall Street, El Salvador's legal tender adoption, and comprehensive regulatory frameworks like MiCA demonstrate that cryptocurrencies have transcended their early reputation as speculative instruments for tech enthusiasts. Looking ahead, the foundation has been laid for even greater integration into the global financial system. With major corporations holding Bitcoin on their balance sheets, traditional banks offering crypto services, and governments developing digital currencies, the question is no longer whether cryptocurrencies will survive, but how they will continue to reshape finance, technology, and society in the decades to come. The first decade was about proving viability; the next will be about defining the future of money itself. You are reading the second part of the story. Read the full story here. Create an account on Bitget to trade BTC, ETH, and other cryptos today! Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

What Is Luigi Inu (LUIGI)? The Super Mario-Inspired Meme Coin on BNB Chain

Remember Luigi—the quieter, often-overlooked brother from the Super Mario games? He’s now the inspiration behind Luigi Inu, a meme coin launched in June 2023 on the BNB Smart Chain. Like many meme tokens, Luigi Inu uses recognizable pop culture imagery to build community interest, but it also incorporates features such as passive income rewards, cross-chain functionality, and long-term development plans. Built on a fast, low-fee blockchain, the project aims to balance entertainment value with functional crypto mechanics. In a saturated market, Luigi Inu seeks to differentiate itself through both branding and utility. What Is Luigi Inu (LUIGI)? Luigi Inu is a meme-themed cryptocurrency on the BNB Smart Chain, inspired by Luigi, the familiar character from Nintendo’s Super Mario series. The token launched in June 2023, combining pop culture appeal with basic decentralized finance (DeFi) features. While it fits the meme coin mold with playful branding and an active online presence, Luigi Inu also incorporates mechanisms designed to reward holders and expand its utility. Unlike many meme tokens that rely solely on hype, Luigi Inu includes elements that support sustained engagement. Holders receive automatic rewards in stablecoins, and the token has been bridged to Ethereum to reach a wider user base. The project has also introduced the concept of a future “Luigiverse,” which may include NFTs, staking options, and additional DeFi tools. The development team has renounced ownership of the smart contract and locked liquidity to address common investor concerns around transparency and rug pulls. With a fixed token supply and a focus on community involvement, Luigi Inu aims to stand out in a crowded field of meme coins by offering a blend of entertainment value and practical features. How Luigi Inu Works Luigi Inu operates as a BEP-20 token on the BNB Smart Chain, combining the simplicity of a meme coin with functional DeFi features. Its most notable mechanism is the automatic reward system: a portion of every buy and sell transaction is redistributed to token holders in stablecoins such as BUSD or USDT. This allows users to earn passive income without needing to stake or interact with complex protocols. The token has also been bridged to Ethereum via ChainPort, expanding its reach to users on another major blockchain. While the Ethereum version of LUIGI is fully tradable, the stablecoin rewards are currently only available to holders on the BNB chain. Investors using the Ethereum network can bridge their tokens back to BNB to access these benefits. To support liquidity and encourage deeper engagement, the team has introduced a companion token called Magic Egg. Paired with LUIGI, it plays a role in liquidity farming and is expected to support future DeFi tools. While the full range of utilities is still under development, the current setup is built around accessibility, simplicity, and gradual ecosystem expansion. Luigi Inu (LUIGI) Tokenomics Luigi Inu has a fixed total supply of 42 quadrillion tokens (42,000,000,000,000,000), with no future minting. This large supply reflects typical meme coin design, enabling widespread distribution while leaving room for deflationary strategies such as token burns. The project applies an 8% transaction tax on every buy and sell. From this tax: ● 2% is automatically redistributed to holders in the form of stablecoins (BUSD or USDT), creating a passive income stream. ● 6% is allocated to the marketing and development fund, which supports project growth, exchange listings, and community incentives. There are no taxes on wallet-to-wallet transfers, and the smart contract has been renounced, meaning it can no longer be altered by the team. In addition, liquidity has been locked, helping to reduce the risk of rug pulls and increase investor confidence. The team has also conducted periodic token burns and buybacks, further reducing circulating supply and supporting price stability over time. Luigi Inu (LUIGI) Price Prediction 2025, 2026-2030 Luigi Inu (LUIGI) Price Source: CoinMarketCap As of mid-2025, Luigi Inu (LUIGI) trades well below its all-time high. After peaking at around $0.021 in late 2024, the token has dropped by over 90%, currently ranging between $0.0016 and $0.0020. This volatility is typical of meme coins, which often see sharp rises followed by corrections. By the end of 2025, LUIGI is projected to reach between $0.0034 and $0.0036, assuming modest recovery driven by renewed interest in BNB Chain assets and community engagement. From 2026 to 2030, forecasts suggest gradual growth: ● 2026: $0.0035 – $0.0042 ● 2027: $0.0049 – $0.0069 ● 2028: $0.0068 – $0.0075 ● 2029: $0.0063 – $0.0075 ● 2030: $0.0078 – $0.0089 These estimates assume continued development, increased utility, and favorable market conditions. However, as a meme token, LUIGI’s price remains highly speculative. Investors should consider its long-term potential alongside its risks and monitor the project’s progress closely. Conclusion Luigi Inu blends meme culture with basic DeFi mechanics, offering investors a mix of humor, nostalgia, and passive income potential. While its playful branding sets it apart, the project’s real value will depend on its ability to deliver sustained development, utility, and community growth. Like most meme coins, LUIGI remains a high-risk, high-volatility asset—but for those willing to embrace the risk, it may offer speculative upside as the broader crypto market evolves. Register now and explore the wonderful crypto world at Bitget! Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

Bitget Futures Grid Bot Profit Strategy

Bitget Futures Grid Bots can be referred to as programmable strategies that capture price movement for profit. This article dives deep into how these bots actually generate returns and walks you through how to set up one effectively, whether using AI-driven or manual setup modes. By the end, you'll not only understand the profit logic but also start to think like a trading strategist. New to Bitget Futures Grid Trading? Check out the basic guidelines below: What Is Futures Grid Trading? Bitget Futures Grid Trading: What, Why & How It Works Futures Grid Bot Setup Guide Futures Grid Bot 101: First-time Deployment Playbook Pro Tactics for Trend, Hedging, and Growth How Bitget Futures Grid Bots make profit Bitget Futures Grid Bots make money by placing a series of buy and sell orders at preset price intervals. Every time the price moves up or down through the grid, the bot captures small profits as a systemised way of exploiting market movement. These small, repeated trades can accumulate over time, turning volatile market behaviour into structured earnings. Grid profit is calculated as: Profit = grid fill frequency × price difference between each grid level × position size per grid There are two key profit engines: Volatility capture: In sideways or choppy markets, Bitget Futures Grid Bots repeatedly buy low and sell high (or vice versa), harvesting small gains from each cycle. This technique works by exploiting the natural oscillations in price, where orders placed at precise intervals continuously open and close positions for incremental profit. Directional positioning: In trending markets, Long or Short Bitget Futures Grid Bots can systematically ride the trend by scaling into and out of positions along the way. The bot accumulates exposure in the direction of the trend and exits at higher (or lower) price intervals, securing gains at each level. There are several variables that influence profitability: Grid density: More grid lines mean more trading opportunities. Market volatility: Higher volatility increases the chance of price interacting with grid levels. Bot direction: Matching the bot’s direction with the market bias enhances trade validity. Leverage: Amplifies both gains and order size within the same capital allocation. Capital allocation: More margin supports more levels and larger fills. Best features of Futures Grid Bot for profit making Here's the guide on the best features of Bitget Futures Grid and how to use them to launch each type of Futures Grid Bot with a professional trader's mindset at the core. AI Long Futures Grid Bot Setup Step 1 - Selecting a strategy tier: Conservative vs. Balanced vs. Aggressive Launching an AI Long Futures Grid Bot on Bitget begins with selecting a strategy tier that aligns with your market view and risk appetite: ● Conservative bots are built for stable, low-volatility conditions. They feature wider spacing between grid levels, resulting in lower trade frequency and reduced per-trade risk. Ideal for users who prefer gradual exposure and lower drawdowns. ● Balanced bots provide moderate spacing and activity, offering a flexible solution for mildly trending markets that show both direction and short-term reversals. ● Aggressive bots tighten the grid spacing to maximise trade frequency and potential returns in strong, sustained uptrends. These bots enter and exit quickly, favouring higher volatility environments. Step 2 - Adjust leverage Once the strategy is selected, users can adjust leverage, starting from a 5x default and increasing up to 125x depending on personal preferences and market conviction. This allows you to amplify exposure within a controlled framework. Step 3 - Review key performance indicators Before creating the bot, please carefully review key performance indicators: ● 30-day APY: based on historical backtesting, gives a snapshot of past strategy behaviour. ● Minimum investment: calculated dynamically to reflect the chosen grid settings and leverage level. ● Estimated liquidation price: provided as a reference to understand the margin cushion, assuming all grid levels are filled. This AI Long setup provides a structured, strategy-driven approach to trending markets with minimal configuration required to enable quick deployment while preserving trader oversight. AI Short Futures Grid Bot Setup AI Short Futures Grid Bots on Bitget are prebuilt strategies tailored for bearish conditions. AI Short Futures Grid Bots provide an accessible entry point into short grid trading as they enable users to mirror time-tested strategies and participate in downtrending markets without manually constructing a short bot from scratch. Step 1 - Select a Short bot To get started, simply browse the [AI] tab and select a Short bot that fits your goals. Each bot showcases key metrics to inform your decision: ● 7-day ROI: Displays the bot's realised return over the past seven days as a snapshot of recent performance under live market conditions. ● Minimum investment: Indicates the lowest required capital to activate the bot, factoring in leverage and current market parameters. ● Number of users: Reflects the current adoption and popularity of the strategy for indirect insight into user confidence and perceived reliability. Step 2 - Input your investment amount Once selected, users only need to input their investment amount. No further configuration is required. Tips! These bots are most effective in scenarios such as: ● Short-term market corrections: Capture price drops efficiently with preset logic optimised for bearish momentum. ● Portfolio hedging: Temporarily counterbalance long exposure in volatile markets by introducing automated short-side coverage. Manual Futures Grid Bots Setup Bitget's Manual mode for Futures Grid Bots offers comprehensive configuration control in that it allows traders to customise every parameter based on their own market view, technical strategy, and risk framework. Each direction (Long/Short/Neutral) operates differently, and here's how to set them up with full precision. 1. Long Mode Setup: Use Long Mode when you expect the asset price to appreciate over time, especially after pullbacks or accumulation phases. ● Set the upper and lower limits where your grid orders will operate. ○ Support/resistance zones: Identify horizontal price levels where the asset has historically reversed or consolidated. ○ Oversold indicator zones (RSI < 30): Use Relative Strength Index signals to define oversold regions that may trigger a bounce. ○ Swing lows/trendline retests: Define lower boundaries based on recent price troughs or where price revisits a key trendline. ○ Lower Bollinger Band regions: Utilise volatility bands to capture statistically rare downside extensions. ● Determine how many orders to place between your defined price range. ○ 20–100 intervals: High-resolution grids increase trade frequency and smooth PnL accumulation. ○ 5–20 intervals: Lower granularity focuses on broader price moves, better for wide-range strategies. ○ Higher grid count: smaller spacing between orders, resulting in more frequent execution. ○ Lower grid count: larger spacing and fewer trades, potentially higher profit per trade. ● Decide how the space between orders is calculated. ○ Arithmetic: Keeps the price difference between grid levels constant (e.g., every $50). Best for assets that move within linear or stable ranges. ○ Geometric: Keeps percentage differences consistent (e.g., every 1.5%). Useful when trading assets with exponential or more volatile price swings. ● Adjust the multiplier to control how much margin is used. ○ Tailor leverage based on your confidence in the trend and the asset's historical volatility. ○ For higher volatility, lower leverage is advised to reduce liquidation risk. ○ Available leverage may vary depending on the trading pair. ● Choose how and when the bot starts and stops, and define execution control. ○ Starting: Begin the bot immediately, at a specified price level, or based on technical indicators like RSI or Bollinger Bands. ○ Termination: Set optional closing conditions using indicators or leave the bot running until manually stopped. ○ Slippage: Select 1%, 2%, or disable to limit execution outside your price target. Helps control entry during fast price changes or thin order books. ● Bitget provides tools to help maintain bot sustainability and streamline profits. ○ Auto margin transfer: Automatically transfers funds from your Spot account into the bot’s margin account when margin ratios drop below a set threshold. ○ Auto profit transfer: Sends realised profits from completed grid trades directly to your Spot account, preventing reinvestment. ○ Estimated liquidation price: Clearly shown on-screen, allowing you to monitor how much cushion remains before your position risks liquidation. 2. Short Mode Setup: Use Short mode to systematically manage positions when anticipating price declines, especially after overbought conditions or resistance tests. ● Set the boundaries above or around the current price where your grid will execute. ○ Resistance clusters: Price levels where the asset previously stalled or reversed. ○ Overbought indicators (RSI > 70): Indicates potential reversal zones after extended upward movement. ○ Local highs or breakout failures: Mark areas where price failed to hold gains and may reverse downward. ○ Upper Bollinger Band regions: Use statistical volatility indicators to anticipate mean reversion from extended highs. ● Configure trade granularity within your chosen range. ○ More grids increase execution density, which works well in tight reversal zones. ○ Fewer grids widen each order step and reduce trade frequency. ○ Match grid density with how quickly you expect price to move downward. ● Select the spacing logic appropriate for your asset. ○ Arithmetic: Ideal for structured or gradual declines. ○ Geometric: Accommodates sharp pullbacks with proportional scaling at higher prices. ● Higher leverage magnifies both returns and risk. ○ Choose a lower multiplier in volatile conditions to increase position resilience. ○ Consider the asset's historical volatility before setting leverage. ● Customise your entry/exit logic and execution protection. ○ Starting/Termination Triggers: Choose technical conditions to automatically start or terminate the bot. ○ Slippage: Prevents overpaying during rapid execution when price moves too fast. ○ Estimated liquidation price: Monitors proximity to forced closure levels in volatile downward moves. ● Automate risk and profit operations. ○ Auto margin transfer: Delays or prevents liquidation by topping up your margin when needed. ○ Auto profit transfer: Locks in profit by removing it from active positions, protecting capital in a volatile downtrend. 3. Neutral Mode Setup: Neutral mode uses two independent grids (long and short) operating simultaneously, designed for sideways markets with frequent fluctuations in both directions. ● Establish a price band around the current value that captures movements in both directions. ○ Consolidation zones: Horizontal price ranges with repeated highs and lows. ○ Oscillating ranges: Defined price channels where the asset fluctuates without breaking trend. ○ Midpoints between recent highs/lows: Position your grid symmetrically for balanced exposure. ● Design your grid for equal effectiveness on both sides. Note: Even distribution allows you to capture symmetrical price action. ○ Arithmetic spacing suits flatter oscillations. ○ Geometric spacing adds flexibility for assets with differing volatility dynamics up and down. ● Both long and short grids maintain independent leverage settings and margin structures. Separate estimated liquidation prices are displayed for each direction to help you monitor directional exposure and risk more accurately. ● Control when the bot starts/stops and how it behaves during execution. ○ Starting Conditions: Set up the bot to trigger on price conditions, RSI/BOLL levels, or immediately. ○ Terminating Conditions: Use indicator thresholds or run indefinitely. ○ Slippage: Applies to both grids, ensuring orders don’t get filled at disadvantageous levels. ● Ensure continuous grid performance under volatile market conditions. ○ Auto margin transfer: Supports each leg independently by drawing funds when margin is at risk. ○ Auto profit transfer: Separately transfers profits from long and short grid legs to the Spot wallet. Advanced tips: Overlooked but crucial profit factors Beyond grid direction and spacing, the true profitability of Bitget Futures Grid Bots depends on how well each operational component is aligned with market conditions. These subtle yet critical settings apply across both AI-driven and Manual mode bots, and mastering them is essential for consistent performance. Grid Density versus Fee Efficiency For all bot types — AI or Manual — grid spacing directly affects how often trades are executed. Tighter spacing leads to more trades and faster capital turnover but also increases cumulative trading fees. Each transaction on Bitget incurs a fee, so the expected gain per fill must sufficiently exceed the cost per trade. ● AI Long bots tend to set grid density based on their strategy profile (Conservative, Balanced, Aggressive). Conservative bots use wider spacing for reduced risk and lower fee exposure, while Aggressive bots opt for dense grids to capitalise on more frequent price moves. ● Manual bots allow full control over spacing and let you manually balance fee efficiency with fill probability. Example: If you're running an Aggressive AI Long bot on ETH with 5x leverage in a choppy uptrend, you'll benefit from frequent fills, but only if the expected per-trade profit comfortably exceeds fee costs. If not, a Balanced strategy might be more effective. Bot Type and Market Behaviour Alignment Each bot mode serves a purpose, but choosing the wrong one can result in inefficiency, even in the presence of volatility. ● AI Long bots are best deployed during structured upward trends. With their strategy tiers and optional trailing grid, they adapt well to positive momentum. ● AI Short bots are ideal for anticipated short-term corrections or to hedge downside moves. While parameters aren't customisable, users can sort by 7-day ROI, number of users, and minimum capital to choose the right strategist bot. ● Manual Long or Short bots work when you have conviction in the directional trend, supported by technical levels or macro context. ● Manual Neutral bots are optimal for oscillating price zones or range-bound setups with back-and-forth movement. Example: If BTC breaks above a key resistance level with strong volume, an AI Long bot in Balanced mode with trailing grid enabled might outperform a manual bot stuck in a fixed range. Profit Handling: Reinvest or Extract? How you treat profits is just as important as how you generate them. Bitget Futures Grid Bots offer two core modes: ● HODL Mode: Profits are reinvested into the grid, compounding exposure. Effective in strong trends where continuation is expected. ● Auto profit transfer: Withdraws realised gains to your Spot wallet automatically, reducing in-grid exposure and locking in returns. All Manual bots allow toggling between these modes. AI Long bots default to one or the other depending on preset strategy logic. Example: During a gradual BTC climb from $100,000 to $108,000, HODL Mode on a Balanced AI Long bot helped accumulate more open positions within the trend. In contrast, using Auto Transfer during a short-term ETH pump preserved profits before the market retraced. Slippage Tolerance and Market Conditions Slippage control determines how sensitive your bot is to price fluctuations during order placement. ● Higher slippage (1–2%) allows orders to fill more easily in volatile markets but may cause suboptimal pricing. ● Lower slippage (0–1%) ensures price precision, better for liquid pairs and calm market conditions. Manual bots offer slippage control directly, whereas AI bots use preset logic optimised for general conditions. Results may vary depending on real-time market speed. Example: A manually configured short bot on SOL during a volatile earnings report may benefit from 2% slippage to ensure execution, whereas a Neutral bot on BTC in a sideways pattern may use 0% slippage to keep execution tight. Takeaway: Structured Profit And Sharper Strategy Simultaneously Bitget Futures Grid Bots do more than automate entries and exits; they embed discipline into your trading approach. Every configuration decision, from leverage settings to grid spacing and profit handling, encourages users to think in terms of risk-reward structure, volatility adaptation, and market alignment. By using these bots regularly, traders begin to internalise core principles of successful strategy development: ● Position sizing and exposure control become intuitive as users balance leverage with grid density and margin usage. ● Market condition awareness sharpens through constant evaluation of whether a trend-following, range-trading, or hybrid approach is best suited. ● Profit-taking strategies become more deliberate, as users actively choose between compounding gains (HODL Mode) or securing realised profits (Auto Transfer). For newer traders, these bots offer a low-friction way to practice critical trading behaviour that starts with setting a plan, defining boundaries, and committing to a strategy. For experienced traders, they serve as programmable extensions of one's trading thesis via executing with consistency, without emotional interference. And because both AI and Manual modes operate within a framework of defined rules, users develop habits of systematic review and realignment. Grid bots don't just react to the market but also reflect your thinking. Over time, this leads to better decision-making, refined setups, and a more mature, resilient trading mindset. In short, Bitget Futures Grid Bots are mechanisms for growing smarter as a trader, over and over again. FAQ about Futures Grid Trading on Bitget Q1: What is futures grid trading? Futures grid is an automated futures trading bot that buys low and sells high within a specific price range. You only need to set the highest and lowest prices of the range and determine the number of grids to start running a bot. The bot calculates the price for each grid and is designed to place orders automatically to earn profits as the market fluctuates. Learn more: What Is Futures Grid Trading? | Bitget Guides Q2: Which is better, DCA or grid bot? DCA (Dollar-Cost Averaging) is best for long-term, passive investing by spreading buys over time to reduce volatility risk. A grid bot is better for active traders seeking to profit from price fluctuations by buying low and selling high within a set range. The right choice depends on your trading style: DCA for steady accumulation, grid bot for automated trading in volatile markets. Q3: Is grid bot safe? Grid bots can reduce emotional trading and automate strategies, but they are not risk-free. In volatile or trending markets, grid bots—especially with leverage—can incur significant losses. Safety depends on careful configuration, effective risk controls, and understanding market conditions. Always use stop-loss and manage leverage wisely. Q4: How much money can I make with a Futures Grid Bot? Your earnings with a Bitget Futures Grid Bot depend on market volatility, grid settings, leverage, and your investment amount. In optimal conditions, some traders see double-digit monthly returns, but results can vary and there is risk of loss—especially with leverage. For best results, regularly review your grid trading strategy and adjust settings based on current market trends.

How To Maximise Profits With Bitget Spot Copy Trading By Choosing The Right Key Metrics

Bitget Spot Copy Trading offers one of the most accessible ways to grow your crypto portfolio without executing trades yourself. But accessibility doesn't eliminate risk. No matter if you're a new user exploring Bitget elite traders or an experienced investor finding new ways to diversify their strategies, your results ultimately depend on one thing: how you evaluate who to copy. While Bitget provides a wealth of real-time metrics, many users overlook the importance of choosing the right metrics for the right reasons. This guide will help you build the skill of cross-analysing these metrics in practical ways, so your copy trading is based on clarity, not guesswork. What Every Sorting Metric Reveals About Spot Elite Traders Unlike futures copy trading, spot copy trading generally doesn't rely on leverage, which means there are fewer explosive wins—yet fewer margin calls too. Here, consistency matters. And consistency is something you can spot if you know how to read the metrics. Bitget allows you to sort spot elite traders using key metrics that help narrow down your shortlist before any deeper evaluation. These metrics are your first filter a.k.a. your one-metric analysis stage. Below is your essential metric cheat sheet that blends technical definitions with easy-to-grasp analogies: Metric What It Tells You How It's Calculated Why It Matters Memory Tip Time Frame Filters all performance stats over your chosen period Options include 7D, 30D, 90D A trader may perform well short term but poorly over months Change the lens to see the full picture ROI The profitability relative to capital invested ROI = Total profit of filled orders ÷ highest historical investment Shows efficiency in generating returns Distance travelled matters more than engine noise Total PnL The total accumulated profit from all filled copy trades Cumulative USDT profit since elite trader status Reveals overall outcome of trader's decisions The bigger the harvest, the better the farmer Copiers (all-time) The total number of unique users who've ever copied this elite trader Each copier counted only once Demonstrates long-term appeal and reach A long guest list signals credibility that drew many in AUM The total funds followers have allocated to this elite trader's strategy Sum of current follower investment in spot trading High AUM reflects strong trust and scale, though it can limit trade flexibility Large fleets can move slower but steady Copiers' PnL The total profits generated for all copiers combined Sum of all copier profits under this trader Validates performance by tracking how much value was delivered to copiers The real test is how many others got paid too Trading Frequency The average number of trades per day Total trades ÷ days since registration Indicates how actively the trader engages with the market Fast hands or patient pace — match your rhythm Inside The Spot Elite Trader Profile Page Once you've sorted and shortlisted a few promising traders, the next step is to click on their profile. Here, Bitget reveals a wealth of contextual data that goes beyond surface-level stats to offer insights into trading style, strategy stability, and actual follower outcomes. The profile page of a Bitget Spot Elite Trader. Source: Bitget Spot Copy Trading Here's what you'll typically find: ● Registration time: See how long the trader has been active on Bitget. Longer registration time may indicate experience and reliability. ● Trader description and tags: Tags like [Secure], [Consistent High Performance], or [Conservative] are assigned by Bitget to reflect specific performance valuations, such as maintaining a drawdown under 1% over three weeks, ranking in the top 20 by win rate, or trading with an average position size below 1000 USDT. ● ROI and total profit overview: Presented across multiple time frames of 24 hours, 7 days, 3 weeks, 1 month or 6 months. The ROI chart displays realised profits, while unrealised ROI is shown as a reference in the info symbolebeside the metric. ● Asset allocation: Understand the trader's preferences by looking at the percentage of trades executed on each trading pair. ● Position duration: View how long trades are typically held and their respective PnL distributions. A useful tool for aligning with your own time horizon. ● Trading volume trends: Helps reveal how actively the trader is trading and whether activity has recently increased or dropped. ● Copy trading pairs: See which tokens the trader usually trades through their strategies. ● Latest copiers: Shows when others started copying this trader. Regular fresh activities may signal growing trust. ● Badges and achievements: Track their official recognitions and trading history markers. ● Performance summary: Helps you validate consistency and scale at a glance. By checking stats like Win rate, Total profit, and the balance between Winning trades and Losing trades, you can quickly assess if the elite trader is just riding short-term luck or demonstrating disciplined success over time. The number of Copiers adds context by showing how much confidence others have placed in their strategies. ● Live data: Reveals how the trader is performing and engaging right now. AUM shows how much capital is actively copying their trades, Profit share ratio tells you how much of your profit they will take, Watchers help you sense social momentum (many watchers but few copiers can equal cautious interest), and time of Last trade shows how recently they acted, helping you avoid inactive or stalled strategies. Trading frequency gives you the average number of trades per day so that you can gauge how active the trader is and whether their pace aligns with your expectations. ● Trade history and active orders: Check exact entry and exit prices, PnL, and execution frequency. ● Copier-level performance: View how individual copiers performed under this trader's strategy. These details offer valuable context regardless of your analysis type: 1-metric or multiple metric combination. They help confirm patterns you noticed during sorting and may reveal hidden risks or strengths not visible in headline stats. Level Up Your Spot Copy Trading With Smarter Metric Pairings Spot copy trading success isn't just about picking the trader with the highest ROI. To truly optimise performance and manage risk, you need to understand how different metrics interact. This section guides you through smart combinations, starting with beginner-friendly pairs and progressing to advanced cross-analyses for deeper evaluation. Easy Metric Pairings For First-Time Users Before you dive into advanced metrics, start with these combinations. They provide a fuller picture without overwhelming complexity. 1. ROI and Copiers' PnL: Focus: Personal Performance + Copier Impact Explanation: ROI tells you how well an elite trader performs in percentage terms, while Copiers' PnL reflects how much profit their followers are actually earning. Combining these two helps you separate elite traders who are good at trading for themselves from those whose strategies scale well to benefit others. This duo ensures you're not just following someone with flashy stats, but someone whose trades consistently deliver value to copiers. Practical Use Examples: ● An elite trader with +150% ROI but low copier profit might have strong results only on small personal trades or trades difficult to copy in real-time. ● An elite trader with +70% ROI and $100,000 in copier profit over the past 30 days shows strong strategy execution that translates well to followers. ● This combo is perfect when your top priority is consistent income from copying, not just admiration of impressive charts. 2. Total Profit and Position Duration: Focus: Strategy Scale + Trading Tempo Explanation: Total Profit reveals the absolute earnings generated over time, while Position Duration uncovers how long trades are held. This pairing helps you identify traders who generate steady profits through long holds or those who rely on fast, frequent trades. Understanding their pacing helps match an elite trader's rhythm to your own time commitment and market expectations. Practical Use Examples: ● If you're hands-off, look for an elite trader with high total profit and long average holding times (e.g. 7–14 days). ● If you want more action, seek someone with solid profit and short holding periods (e.g. less than 1 day). Know that you may need to check more frequently. ● An elite trader who holds for long durations but makes little profit might be overly cautious or ineffective. Hence, this combination helps flag that early. 3. Win Rate and AUM: Focus: Strategy Consistency + Market Confidence Explanation: Win Rate tells you how often an elite trader closes in profit, and AUM (Assets Under Management) shows how much capital other users have entrusted to them. Together, these metrics help evaluate not just reliability, but public trust. If an elite trader keeps winning while managing large amounts of copier capital, that's often a sign of both discipline and adaptability. Practical Use Examples: ● An elite trader with a 75% win rate and rising AUM likely earns trust by delivering frequent wins. ● If win rate is high but AUM is low, this elite trader may be under the radar or have recently been promoted, meaning an opportunity to catch them early. ● A high AUM with a weak win rate might indicate hype rather than substance, and this combo will help you to avoid that trap. 4. ROI, Win Rate, and Copiers' PnL: Focus: Profitability + Reliability + Shared Success Explanation: This trio offers a well-rounded filter in that ROI confirms the elite trader's earnings, Win Rate shows consistency, and Copiers' PnL verifies that followers benefit too. It's a reliable starting point for beginners who want to follow a proven performer without diving into more complex behavioural patterns. Practical Use Examples: ● Use this as a basic test: If all three are strong, proceed to analyse asset allocation or order history. ● An elite trader with +100% ROI, 70% win rate, and $50,000 in copier profits is a solid candidate worth watching. ● If only two of the three look strong, ask why — it could reveal insights like scaling issues, timing mismatches, or selective trading. What Skilled Copiers Look For Beneath The Surface Most users stop at ROI and win rate, thinking they've seen the full picture. But serious copiers know the real edge comes from pairing metrics no one thinks to connect, where overlooked data turns into unfair advantage. 1. ROI Volatility, Position Duration, and AUM: Combining ROI volatility with holding time and AUM gives a window into an elite trader's behavioural consistency under pressure. Normally, a trader with high ROI but erratic swings may be chasing pumps or mismanaging exits. When layered with position duration, you can see whether these returns come from carefully held positions or reactive scalping. AUM adds context: whether many users trust them with real capital, or if their high returns exist in a vacuum. Most users just look at ROI as a scoreboard and ignore how that result was achieved. Volatility, timing, and crowd trust are rarely considered in tandem, especially when presented as isolated data points. This combination forces you to ask: Did they earn that ROI the right way? It trains your eye to spot traders who not only make gains, but make them in a way that can realistically be followed. 2. Trading Frequency, Asset Allocation Spread, and Copiers' PnL: This mix investigates strategy tempo, portfolio structure, and actual user outcomes. A high-frequency elite trader who diversifies across many coins might seem attractive, but are followers profiting too, or are trades just noise? If frequency and spread are high but copiers earn little, you're likely looking at quantity over quality. On the other hand, if followers are consistently in the green, you've found someone who thrives on variety and timing. Many overlook this trio because they treat metrics as separate checklists. Speed, diversity, and profit rarely get linked. Plus, Copiers' PnL is often assumed to shadow trader ROI, which isn't always true. Together, these metrics help you read beyond activity and into effectiveness. It's not about how much a trader does, but how well their system translates into copiers' value. 3. Asset Allocation Focus, ROI, and Copiers' PnL: This combo explores conviction vs. exposure. An elite trader who concentrates 85% of their trades in one pair (like ETH/USDT) and still delivers strong returns and copier profits may be a specialist worth trusting. However, if ROI is positive but copiers aren't earning, you may be looking at someone whose style doesn't scale. Or worse, someone who got lucky with one cycle. By viewing focus alongside real returns, this approach refines your ability to identify repeatable, copier-friendly specialists. It draws a sharper line between mastery and overexposure. This combination is often missed because asset allocation is treated as a passive stat, not an active strategy choice. Users tend to assume a focused trader is risky, or that ROI alone tells the full story. 4. Win Rate Consistency (3W vs. All-Time), Total Profit, and Profit Share Ratio: This set helps uncover quiet performers who play the long game and treat their followers fairly. An elite trader whose win rate stays stable over short and long time frames has likely built a repeatable edge. Add strong total profit, and they've proven it works. Then check the profit share. If it's not too high, you know they're not squeezing their copiers dry. People often chase hot streaks or spike ROI. They rarely think about comparing short vs. long-term win rates, and even fewer consider the cost of copying as an additional metric. Used together, these three elements develop your sense for ethically scalable performance. It's about spotting keepers who win. Making Judgement Your Edge Smart copy trading begins long before you click [Follow]. It starts with knowing your own priorities: is it managing risk, seeking growth, keeping things low maintenance, or understanding how a trader actually thinks? Once you know what matters to you, use a single metric as your starting point. Sort the elite traders, identify a few names, and then begin to layer in combinations and look for harmony or contradiction across metrics. As you progress, move from simple pairings to deeper cross-analysis. Does consistency in one timeframe hold up over longer ones? Does activity translate into real-world profit, or just noise? These combinations reveal philosophy, because you’re not only following traders but also selecting systems of thought. Test slowly. Allocate small capital to a shortlist of two or three elite traders. Observe their behaviour, especially in shifting markets. Metrics can move, and how they move often tells you more than the numbers themselves. Weekly re-evaluation keeps you grounded, alert, and ahead of blind trends. In the end, don't set the goal of finding a perfect trader. It's more efficient and sustainable to build a personal method of evaluation so sharp that even when the market is loud, your process stays clear. On Bitget, every metric is a mirror. The edge comes from learning how to read the reflections.

Spot Grid Trading On Bitget: Complete Guide To Structured AI & Manual Grid Bot Strategies

Contemporary cryptocurrency markets are characterised less by linear progression than by persistent volatility. In such an environment, strategies predicated on directional certainty become increasingly fragile. The value proposition of spot grid trading lies not in its predictive power, but in its capacity to frame volatility as structure. Grid-based systems, such as those available on Bitget, are often misunderstood as mechanical tools for passive income generation. In practice, however, they operate as modular frameworks that are not merely for trade execution, but for expressing market beliefs and managing behavioural risk. This article offers a conceptual reconsideration of Spot Grid strategies by exploring the underlying assumptions and strategic functions of each configuration offered on Bitget. AI-Recommended Grid Bots: Delegated Reasoning Under Uncertainty Bitget's AI-recommended grid bots (Aggressive, Balanced, Conservative) reflect not just three configurations, but three archetypal approaches to volatility. Each is instantiated across multiple live variants as sub-configurations. They are tuned to different user thresholds, volatility clusters, and risk-return trade-offs. As such, these bots represent not fixed strategies, but parameterised expressions of a broader thesis: that structure grounded in empirical patterning can outperform unaided discretion during market uncertainty. Strategic application: ● Deployed when directional conviction is low but structural volatility is measurable. ● The user lets go of micromanagement in favour of delegation to models trained on amplitude, rhythm, and price clustering. 1. Aggressive Bots: These bots function under the assumption that volatility is both high and nonlinear. With wider grid spacing and fewer total grids, they prioritise amplitude over frequency. They are best suited to markets prone to spikes and reversals, where noise dominates over narrative. In choosing an Aggressive variant, the trader accepts lower fill frequency in exchange for higher per-fill margins. 2. Balanced Bots: Balanced variants represent a midpoint in both logic and structure. Grid count is higher, spacing is tighter, and profit margins per grid are more modest. These bots presume neither breakout nor breakdown, but rather consistent oscillation around a loosely defined centre of gravity. Traders selecting this family are not timing mean-reversion; they are structurally enacting it. Balanced bots are best used in transitional markets: when conviction is forming, but not yet actionable. 3. Conservative Bots: These are designed for compressed volatility, ranging environments, and capital preservation mindsets. They deploy dense grid arrays with extremely tight spacing and often achieve many small fills within narrow bands. Per-grid profit is lower, but cumulative activity smooths returns. The trader here assumes that directional movement will remain muted, and that micro-structure is monetisable. The proliferation of Conservative variants suggests their appeal for low-risk optimisation of stagnant capital. In delegating control to the model, the user implicitly affirms a hierarchy of insight: that situational patterning, when abstracted and scaled, offers more robustness than episodic trader intuition. In this way, AI bots are scaffolds for belief systems, distilled into automated structures. Manual Normal Grid: Encoding Cyclical Expectations Within Bounded Drift The Manual Normal Grid is perhaps the most intuitively aligned with market behaviour, since it's designed to mirror the natural cadence of a market that breathes. It operates within a defined corridor shaped by oscillation rather than breakout, and interprets price action as movement without necessarily implying momentum. At its core, this strategy serves as a volatility-harvesting mechanism: it encodes a thesis that short-term inefficiencies are frequent enough to be structured, even within an environment characterised by longer-term neutrality or gradual ascent. Yet this is not a passive approach. It is inherently conditional. When market behaviour aligns with structural assumptions, the system functions as a mean-reversion engine. But when those conditions dissolve, the framework must be reexamined—adapted or suspended, rather than preserved out of habit. 1. Core assumptions: The Manual Normal Grid operates on the belief that markets tend to revert within definable bands, even amidst broader uncertainty. It presumes that emotional responses—whether driven by fear or euphoria—temporarily displace price from its fundamental centre of gravity. While these dislocations are not predictable in sequence, they are statistically frequent enough to be structured. The strategy assumes that volatility is not noise, but a recurring rhythm that can be framed and monetised. 2. Grid architecture logic: ● Spacing should match observed historical volatility (e.g., ATR or Bollinger Band width). ● Denser grids (20–40 levels) invite overtrading in trend conditions but perform well in stable consolidations. ● Wider grids (5–10 levels) favour amplitude over frequency and reduce churn. 3. Adaptations: To accommodate evolving market behaviour, the Manual Normal Grid allows for selective modifications. The trailing grid function introduces an adaptive element that permits the entire grid to ascend gradually in response to sustained upward movement, embedding a tempered trend bias within the system. Entry triggers, on the other hand, offer conditional activation, ensuring that the strategy is only deployed when price re-enters a regime consistent with the trader's structural assumptions, thus avoiding premature exposure to trending or breakout scenarios. Manual Reverse Grid: Structuring Accumulation In Bearish Drift The Manual Reverse Grid framework is not a reaction to drawdown. This type of manual grid is actually a disciplined, opportunistic response to it. Rather than seeking protection, it aims to structurally reallocate capital across a downward trend. Beneath its surface as a trading strategy lies a reaccumulation protocol: a mechanism to increase long-term exposure at progressively improved cost bases. It encodes a probabilistic thesis that the asset is fundamentally undervalued despite short-term price deterioration. To engage with the Manual Reverse Grid is to favour conviction over momentum, cost optimisation over trend-following. It does not protect capital in the conventional sense. Instead, it redistributes your funds strategically, cyclically, and with intent. 1. Core assumptions: The Manual Reverse Grid assumes the trader either already holds the asset or intends to expand their position during a downward cycle. It further assumes that this decline occurs within a bounded volatility regime sharp enough to generate movement, yet contained enough to avoid systemic dislocation. Rebounds, in this model, are not trend reversals but tactical moments for capital recycling. The strategy presumes that while directional signals may be bearish, the broader valuation thesis remains intact. 2. Grid structure as strategy: ● Grid sells are designed not as exits but as capital rotation events. In a Manual Reverse Grid configuration, each sell order is not a retreat from exposure but a deliberate mechanism to unlock liquidity at temporarily elevated prices. These sells are strategically placed to capture short-term rebounds and are intended to fund subsequent re-entries at more advantageous levels. The objective is not to reduce risk, but to reposition capital across the declining structure in a way that deepens value alignment. ● Buys are reweighted entries with improved basis. Each grid-level buy functions as a targeted re-entry, executed at lower prices and recalibrated for improved cost efficiency. As the market continues to decline within expected bounds, these incremental purchases serve to lower the average acquisition cost of the asset. Over time, this systematic reweighting transforms a falling market into a structured accumulation zone. ● [Buy at termination] functions as a strategic reversion to full asset exposure. This setting ensures that once the grid stops, the system converts all remaining capital (often still partially held in stablecoins) back into the target asset. It signals the trader's long-term commitment to exposure and aligns the close of the strategy with the core thesis: that lower prices are opportunities for positioning, not reasons for retreat. 3. Risk framing: ● This bot doubles down through structure instead of hedging. The Manual Reverse Grid is inherently conviction-driven. Unlike hedging strategies that offset risk through opposing positions, this model assumes risk deliberately by expanding exposure as price declines. The structure is not meant to mitigate downside but to operationalise confidence in future mean-reversion or value recovery. As such, the strategy magnifies risk if the valuation thesis fails. ● It works best in defined channels, not capitulative conditions. For the Manual Reverse Grid to function as intended, price must decline within measurable bounds. It assumes a certain regularity to the market's downward motion, where retracements occur, volatility is not chaotic, and macro panic is absent. In true capitulation scenarios or breakdowns where price loses all structural integrity, this strategy's logic can collapse, exposing the trader to concentrated, ill-timed entries with limited recovery visibility. Manual Neutral Grid: Dual-Sided Framing For Mean-Reversion Pairs The Manual Neutral Grid occupies a unique position among spot strategies—closest in structure to market making, yet fully automated and rule-based. It does not depend on trend forecasts, directional bias, or preferential asset weighting. Instead, it is built on the foundational assumption that markets generate persistent price inefficiencies within definable bounds, and that these fluctuations can be systematically harvested. Where directional traders seek conviction, the Manual Neutral Grid seeks consistency and quietly extracts value from oscillation rather than momentum. Precisely because it is overlooked by trend-focused participants, it retains a kind of theoretical purity. It operates not in opposition to volatility, but in cooperation with trading noise with structural neutrality, which, in unstable regimes, may be the most rational posture available. 1. Core assumptions: The Manual Neutral Grid presupposes that markets do not trend indefinitely but instead revert within contextual boundaries, often fluctuating around a moving equilibrium. It recognises that asset pairs, such as BTC and USDT, exhibit internal rhythmic behaviours, shaped by liquidity dynamics, psychological anchoring, and intraday imbalances. Within this framework, the strategy treats symmetrical exposure not as passive neutrality but as a deliberate method of reducing directional risk. By evenly distributing capital across both sides of the trading pair, the system enhances its ability to rebalance efficiently, capitalising on relative shifts without requiring predictive intervention. 2. Structural logic: ● Requires dual-side capital input. ● Profit emerges from relative imbalance, not directional correctness. ● Exit conditions become essential; without them, neutrality can drift into unwanted exposure. Advanced Settings: From Optional Toggles To Strategic Instruments Bitget's advanced settings for spot grid bots serve as structural levers that elevate spot grid bots from generic execution tools to tailored expressions of market logic. In sophisticated configurations, these parameters do not function in isolation but in interplay, shaping a strategy that adapts dynamically to both market context and user intent. The most robust grid strategies are rarely the ones that perform best in static backtests; rather, they are those whose configuration most accurately encodes the trader's underlying thesis about how the market behaves, and how it should be navigated. ● Trailing Grid: Trailing Grid introduces an adaptive dimension to traditional grid logic. Rather than anchoring the strategy within a fixed price band, this setting enables the grid to move upward with the market, preserving spacing logic while adjusting to new price levels. It is particularly effective in environments characterised by gradual trend formation or early-stage breakouts, i.e. periods where static grids risk underdeployment or premature exhaustion. The trailing mechanism allows the strategy to remain relevant even as the market escapes its initial frame, thereby aligning structural persistence with directional drift. ● HODL Mode: Activating HODL Mode redefines the purpose of the grid. Instead of extracting profit through alternating buys and sells, the strategy begins to reinvest arbitrage gains directly into the base asset. This transformation shifts the strategy from a rotational posture, where capital moves in and out, to a positional one, where capital consolidates. It reflects a macro conviction that long-term accumulation outweighs short-term return. In effect, it turns the grid into a value-aligned acquisition engine and is therefore ideal for traders who view dips not as disruptions, but as discounted entry points. ● Profit Transfer: Profit Transfer adds a layer of operational discipline to the system. By routing realised profits out of the bot's capital base and into the trader's main account, it prevents compounded reinvestment and ensures that gains are actively removed from risk. This feature is crucial in volatile environments where paper profits can quickly vanish. More than a safeguard, it embodies a liquidity management philosophy that calls for the protection of realised returns while maintaining structural participation. It also enables smoother capital planning, as profits are centralised and immediately available for redeployment or withdrawal. ● Stop-loss/Take-profit: These boundaries define the existential limits of the grid. Stop-loss enforces a maximum risk threshold, ensuring the strategy exits before losses exceed acceptable tolerance. Take-profit, conversely, crystallises gains at a predefined target, closing the bot once its objective has been achieved. Together, these controls transform the grid from an open-ended loop into a bounded experiment framed by rules of engagement and disengagement. They are essential in high-volatility markets where trend inflections or systemic shocks can invalidate the original structural thesis. ● Trigger Conditions: Trigger settings defer grid activation until the market meets predefined criteria, often based on price, trend indicators, or volatility thresholds. This allows the user to encode strategic patience: the bot does not begin until the broader market confirms the conditions under which the structure is likely to perform. It prevents premature deployment and aligns entry logic with higher-order signals, such as macro support/resistance zones or post-event stabilisation. In essence, it separates intent from execution, introducing an additional layer of thesis enforcement before the grid is permitted to act. Grid Trading As Structural Thinking To engage in Spot Grid trading is to adopt a different way of interpreting market structure: one that prizes configuration over prediction, distribution over precision, and structure over spontaneity. Bitget's toolset is not prescriptive; it is expressive. See each grid is an architectural expression of strategic intent. Where most market participants ask, "What do I think will happen?", Bitget's Spot Grid practitioner asks, "What kind of structure will keep working even if I'm wrong?". With this thinking, strategy becomes not a prediction of what will happen, but a disciplined preparation for whatever might.

Market Volatility And Leverage In Copy Trading: How To Protect Your Capital

Market volatility is a defining feature of crypto trading, for it brings about both opportunities and risks. While Bitget Copy Trade allows copiers to benefit from expert strategies, volatility can amplify the impact of leverage, making risk management essential. With Bitget offering up to 50x leverage, both Elite Traders and copiers have greater control over capital allocation—but leverage must be used strategically. We recommend copiers to take an active approach to managing leverage and adjusting risk settings during volatile periods. How Market Volatility Impacts Leverage Volatility refers to rapid and unpredictable price movements. Whilst this can create profit opportunities, it also increases risk, especially when leverage is involved. A small price movement in a highly leveraged trade can trigger liquidation before the market has a chance to reverse. Whipsaw movements, where price swings violently in both directions before stabilising, can stop out positions prematurely, leading to unnecessary losses. Additionally, cascading liquidations occur when large positions are liquidated, intensifying volatility and worsening price declines. Volatility is particularly dangerous for traders using high leverage without proper risk controls. A trade that might have survived a normal market fluctuation at 3x leverage could face complete liquidation at 50x or 100x leverage. This is why risk-adjusted strategies are critical; leverage should be aligned with market conditions and individual risk tolerance. Another crucial factor is market liquidity. In highly volatile markets, liquidity can thin out, leading to slippage, where trades execute at worse prices than expected. This risk is amplified for highly leveraged positions, where even small execution differences can magnify losses. How To Navigate Market Volatility In Copy Trading 1. Select Elite Traders who adapt to market conditions to follow: Not all traders handle volatility the same way. Some excel in stable markets yet struggle in fast-moving conditions. Copiers should prioritise Elite Traders who: ● Use moderate, adaptable leverage instead of overcommitting to extreme positions ● Have low drawdowns and consistent risk management across different market cycles ● Adjust their strategies based on market sentiment rather than over-leveraging during uncertainty Bitget's Elite Trader analytics provide insights into past drawdowns, risk exposure, and strategy shifts. Copiers should definitely utilise these tools before copying a trader. A good indicator of an Elite Trader's adaptability is how they performed during past market crashes or extreme volatility events. Elite Traders with a track record of surviving market shocks are often more reliable than those with only short-term success in stable conditions. You can also compare targeted Elite Traders with our Elite Traders Comparison tool here . 2. Understand and adjust leverage settings based on market conditions: Copiers should proactively adjust their leverage levels instead of passively accepting any Elite Trader's default settings. Bitget allows copiers to: ● Customise leverage levels to match their personal risk tolerance ● Reduce leverage during high-volatility periods to prevent unnecessary liquidation ● Increase leverage cautiously in stable market conditions if they have a clear strategy A practical approach is to apply dynamic leverage adjustment, i.e. reducing exposure when uncertainty is high and optimising leverage when market conditions are favourable. For example, check Crypto Fear & Greed Index frequently to get an overview of the latest market sentiment. Stop-loss and take-profit levels should also be set based on market volatility. During periods of uncertainty, using tighter stop-losses prevents excessive losses, and vice versa, wider stop-losses allow trades more room to recover in trending conditions. 3. Use cross-margin and isolated margin effectively: Bitget Copy Trade gives copiers additional control over risk management with cross-margin and isolated margin modes. ● Cross-Margin Mode shares available balance across positions. This helps prevent immediate liquidations, as profits from one trade can offset losses in another. However, if risk is not managed properly, a losing trade can impact an entire portfolio. ● Isolated Margin Mode limits risk to a specific position. If a trade is liquidated, the loss is restricted to the margin allocated for that position, hence the rest of the portfolio is protected. For copiers, using isolated margin for high-leverage trades can help contain risks. Meanwhile, cross-margin can be useful for diversified strategies where positions hedge each other. 4. Diversify Elite Traders to reduce risk: Copying multiple Elite Traders with different leverage strategies can help reduce concentration risk. For instance: ● A low-leverage trader may provide consistent, stable returns. ● A medium-leverage trader could capitalise on market swings without compromising risk control. ● A high-leverage trader may focus on short-term opportunities. However, their trades should be balanced with lower-risk positions. Although this diversification approach may enhance resilience, it's worth noting that mixing different trading styles doesn't always guarantee smoother results. Elite Traders may react differently to the same market event—some cutting losses early, and others ride out volatility—leading to conflicting outcomes within a portfolio. This is why active monitoring and adjusting allocations based on trader behaviour remain crucial. Bitget provides detailed analytics to help copiers assess how different Elite Traders navigate various conditions rather than relying solely on past returns. 5. Stay aware of market conditions and economic events: Market volatility is often driven by macro events, liquidity shifts, and news-driven price reactions. Being informed about major financial events can help copiers anticipate potential risks and adjust their copy trading strategy accordingly. For example: ● During high-impact news events (e.g., US inflation reports, interest rate decisions): Leverage should be reduced, and stop-loss levels adjusted ● During strong trending markets: Using moderate leverage under continuous review can optimise capital efficiency and minimise risks ● When market uncertainty is high (e.g., regulatory crackdowns, exchange liquidations): Copying lower-risk Elite Traders or reducing exposure to highly leveraged trades can help safeguard capital In any case, Bitget's real-time market updates and trader performance insights have proved themselves to be extremely beneficial in the management of copy trading strategies. 6. The role of emotions in market volatility and copy trading: One overlooked aspect of risk management is emotional trading. Many copiers feel secure in following a profitable trader, whereas during extreme volatility, emotions like panic, greed, and fear of missing out (FOMO) can lead to poor decision-making: ● Overconfidence during bull runs: Elite Traders may increase leverage and take on excessive risk under the assumption the trend will continue ● Panic selling during crashes: Copiers might manually stop copying a trader during temporary drawdowns, thus locking in losses unnecessarily ● Chasing high-risk Elite Traders after seeing big profits: FOMO-driven decisions often lead copiers to copy aggressive Elite Traders at market peaks, which expose them to significant downsides To counteract emotional trading, copiers should: ● Set predefined risk parameters and stick to them rather than making decisions based on emotions ● Follow Elite Traders with stable, risk-managed approaches instead of those solely focusing on chasing extreme profits ● Maintain a long-term mindset, recognising that volatility is part of the market cycle Don't forget to check out some of our articles on trading psychology for more explanations: The Trap Of Trading Temptations Dealing With Temptations Stick to Your Personal Ideal Prices to Maximize Profit and Minimize Loss Navigate Loss and Profit Final Words Bitget Copy Trade offers powerful tools for managing leverage and risk in that copiers have full autonomy to customise their strategies for volatile markets. By selecting the right Elite Traders, using margin modes effectively, and adjusting leverage based on market conditions, copiers can aim for optimised profits while safeguarding their capital from unnecessary exposure. A well-balanced approach that combines trader selection, leverage discipline, diversification, and awareness of market conditions is the key to long-term success in copy trading. Please remember that: leverage is a versatile tool—but it must be wielded wisely.

Bitcoin Returns to $95K as Christmas Rally Snuffed Out

With much of the globe celebrating Christmas, Bitcoin (BTC) quietly appeared set to retake the $100,000 level after having fallen to below $93,000 just ahead of the holiday. The rally, however, stalled at just above $99,800 as Asia opened for business on Thursday morning and declined rapidly to roughly $95,000 only a few hours later. U.S. markets are open on Thursday, and stock index futures are pointing to modest early losses; gold and oil are marginally in the green. Crypto's price action over the past 48 hours is surely on very low volume and bitcoin has still more than doubled year-to-date, but perhaps overlooked in declines over the past week is that the tailwind of lower interest rates might have become a headwind. The 10-year Treasury yield continued to drift upward early Thursday, now at 4.63% and within a few basis points of its 2024 high. The yield is now ahead by nearly 100 basis points since the Federal Reserve slashed benchmark short-term rates by 50 basis points in September. Macro researcher Jim Bianco noted that the swift move upward in long-term rates following a Fed rate cut is nearly unprecedented in modern monetary history. "The bond market will keep selling (higher yields) the more the Fed talks about rate cuts in 2025," said Bianco. "If the Fed does not back off the rate-cutting talk, bond yields will go as high as needed to start breaking things, to break inflation." Source: CoinDesk Futures Market Updates As Bitcoin fell below $96K, the longs got hurt again. Bitcoin Futures Updates Total BTC Open Interest: $61.66B (+1.13%) BTC Volume (24H): $95.80B (+26.79%) BTC Liquidations (24H): $46.92M (Long)/$12.94M (Short) Long/Short Ratio: 49.24%/50.76% Funding Rate: 0.0105% Ether Futures Updates Total ETH Open Interest: $23.44B (-0.06%) ETH Volume (24H): $36.22B (+34.77%) ETH Liquidations (24H): $41.76M (Long)/$3.87M (Short) Long/Short Ratio: 48.85%/51.15% Funding Rate: 0.0073% Top 3 OI Surges GMT: $109.01M (+124.47%) THENA: $3.28M (+112.06%) THE: $45.32M (+105.90%)