BingX Upgrades Bot Trading Infrastructure To Enhance Futures Strategy Flexiblity

TheNewsCryptoPublicado em 2026-05-19Última atualização em 2026-05-19

Resumo

Cryptocurrency exchange BingX has upgraded its automated futures grid trading infrastructure to provide traders with greater flexibility and efficiency. Key enhancements include the ability to modify active grid strategies without stopping them, adjust trading size per grid level, and automatically adapt the grid price range to follow market trends. The maximum number of grids per strategy has been raised to 500 for denser order placement. A new feature also allows users to share strategy parameters via QR code or link for easy copying. These improvements aim to meet the demand for more adaptive trading tools in volatile crypto markets. BingX, a top derivatives exchange serving over 40 million users, continues to expand its AI-driven product suite.

BingX, a leading cryptocurrency exchange and Web3-AI company, today announced a major upgrade to itsBot Trading ecosystem, featuring a comprehensive revamp of its futures grid trading suite as the platform expands its capabilities across the crypto derivatives market.

The upgrade includes a redesigned trading interface, streamlined strategy creation flow, enhanced strategy management tools, and expanded performance analytics, aimed at improving execution flexibility, operational efficiency, and transparency for active traders navigating volatile market conditions.

Among the key additions to the upgraded suite are:

  • Frictionless Grid Modification: Traders can now shift active grid ranges based on changing market conditions and adjust parameters of active futures grid strategies without needing to stop and recreate their strategies, improving adaptability during volatile markets.
  • Flexible Capital Utilization: The new customization feature allows traders to fine-tune the trading size for each grid level, enabling more flexible position management and risk allocation.
  • Dynamic Price Range: When market prices move beyond a strategy’s preset range, the system dynamically adjusts the grid range to follow market trends, allowing the strategy to continue operating without interruption.
  • Dense Order Placement: The maximum number of grids per strategy has been increased to 500, allowing for even more dense order placement.
  • Strategy Parameter Sharing: Users can now share grid strategy parameters via QR code or link, allowing others to copy and deploy high-performing strategies in one tap, while eligible inviters can earn additional subsidy voucher rewards.

The latest enhancements reflect growing demand for more adaptive bot trading infrastructure as digital asset markets continue to evolve toward increasingly sophisticated trading strategies and higher-frequency execution environments.

About BingX

Founded in 2018, BingX is a leading crypto exchange and Web3-AI company, serving over 40 million users worldwide. Ranked among the top five global crypto derivatives exchanges and a pioneer of crypto copy trading, BingX addresses the evolving needs of users across all experience levels.

Powered by a comprehensive suite of AI-driven products and services, including futures, spot, copy trading, and TradFi offerings, BingX empowers users with innovative tools designed to enhance performance, confidence, and efficiency.

BingX has been the principal partner of Chelsea FC since 2024, and became the first official crypto exchange partner of Scuderia Ferrari HP in 2026.

For media inquiries, please contact: media@bingx.com

For more information, please visit:https://bingx.com/

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsBingXPress Release

Perguntas relacionadas

QWhat is the main purpose of BingX's recent upgrade to its Bot Trading ecosystem?

AThe main purpose of the upgrade is to enhance the platform's futures grid trading suite, aiming to improve execution flexibility, operational efficiency, and transparency for active traders in volatile crypto derivatives markets.

QWhat is one key feature that allows traders to adjust active futures grid strategies without stopping them?

AThe key feature is Frictionless Grid Modification, which enables traders to shift active grid ranges and adjust strategy parameters based on changing market conditions without needing to stop and recreate their strategies.

QHow does the new system handle situations where market prices move outside a strategy's preset range?

AIt uses the Dynamic Price Range feature, where the system automatically adjusts the grid range to follow market trends, allowing the strategy to continue operating without interruption.

QWhat is the maximum number of grids allowed per strategy after the upgrade?

AThe maximum number of grids per strategy has been increased to 500, allowing for more dense order placement.

QWhat is one way users can share their grid strategy parameters with others according to the upgrade?

AUsers can share grid strategy parameters via QR code or link, allowing others to copy and deploy the strategies in one tap.

Leituras Relacionadas

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

The article discusses the evolution of on-chain credit, distinguishing three markets: overcollateralized crypto lending, unsecured lending (largely unsuccessful), and asset-backed credit (ABC). ABC, backed by identifiable real-world collateral with legal recourse, is identified as the fastest-growing category and the only one credibly addressing adverse selection—the core problem in credit where the riskiest borrowers self-select. Current growth in on-chain Real World Assets (RWAs), particularly tokenized private credit funds (e.g., Maple Finance, Centrifuge), is substantial but often merely "wraps" existing fund structures, inheriting their risks rather than solving adverse selection at the protocol level. The regulatory landscape is a key driver, with the US GENIUS Act (prohibiting stablecoin issuers from paying yield) and the proposed CLARITY Act (closing loopholes on indirect yield) set to redefine permissible yield-bearing products. This makes vaults (like ERC-4626) the critical architecture—they become the primary compliant vehicle for delivering yield, functioning as issuance, disclosure, distribution, and recovery mechanisms. The author's thesis is that the correct post-GENIUS/CLARITY architecture involves building ABC solutions where credit assessment, structure, and recovery are encoded directly into the smart contract vault layer, moving beyond mere tokenized fund wrappers to solve adverse selection fundamentally and ensure regulatory compliance.

Foresight NewsHá 22m

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

Foresight NewsHá 22m

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

**Summary of TechFlow Intelligence Report:** The newsletter covers several key tech and finance developments. In AI, Anthropic's new Fable model faced backlash for secretly limiting biomedical research capabilities and enforcing a 30-day data retention policy, prompting the company to promise more transparent adjustments. In a related story, Anthropic's founder revealed his departure from OpenAI was due to dishonesty from Sam Altman, not safety concerns. Meanwhile, OpenAI is considering significant price cuts to compete with Anthropic, potentially sparking a price war. In crypto/Web3, BlackRock filed a new amendment for a yield-generating Bitcoin ETF, while Bank of America's CEO warned that stablecoin yields could drain trillions from traditional banks. U.S. Senator Cynthia Lummis advocated for the U.S. to officially accumulate Bitcoin reserves. In hardware, Nvidia released the DiffusionGemma-2-6B image model optimized for efficient inference, and AMD promoted its unified memory architecture to challenge Nvidia's dominance. TSMC's CFO hinted at possible price increases due to soaring AI chip demand. A major legal ruling in Germany held Google legally responsible for inaccurate information generated by its AI Overviews feature. Google Chrome also moved to fully block ad-blocker workarounds like uBlock Origin. Macroeconomic headlines included U.S. CPI rising to 4.2% (a 3-year high) and Iran's complete closure of the Strait of Hormuz, raising oil price and inflation fears. South Korean markets saw continued volatility with massive foreign capital outflow. Other notable stories: Microsoft expanded its Copilot AI assistant "Mico" globally; a study found r/wallstreetbets users' stock picks outperformed Wall Street; a fully autonomous drone killed a human soldier for the first time, raising AI ethics concerns; and a Chinese hospital used brain-computer interface technology to help a blind person "see." The overarching theme connects debates over AI boundaries and responsibility (Anthropic's restrictions, Google's liability, lethal autonomous drones) with real-world economic and geopolitical turmoil (inflation, Strait of Hormuz closure, market instability), highlighting the tense interplay between technological advancement and global chaos.

marsbitHá 35m

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

marsbitHá 35m

Alibaba's Yet Another New Business Division: What Signal Does It Send?

Alibaba has established a new "Token Foundry" business unit, merging its Tongyi large model division and Future Life Lab. Led directly by Group CEO Wu Yongming, this marks the company's third significant AI organizational reshuffle in 2026, following the creation of the Alibaba Token Hub (ATH) and a Group Technology Committee. The move signals a strategic shift from consolidating AI resources to accelerating productization and commercialization. The "Token Foundry" name reflects Alibaba's ambition to become a foundational supplier in the AI era, focusing on model development and commercial application. Key teams, including those behind the high-performing HappyHorse video generation model, have been integrated into the new unit. Concurrently, Zhou Jingren, architect of the Qwen model series, has been appointed Group Chief Scientist to lead a new AI Future Research Institute, focusing on long-term technological breakthroughs like Agent capabilities. This restructuring creates a clear four-layer AI architecture within Alibaba: the research institute for frontier exploration, Token Foundry for core models and commercialization, MaaS for platform services, and business units like Qianwen (C端) and Wukong (B端) for end-user applications. The adjustments align with a global trend among tech giants like Google and Microsoft to centralize AI leadership under the CEO and deeply integrate research with business units. The urgency is driven by a narrowing competitive window. Alibaba has announced its AI business is now entering a commercialization phase, with AI-related revenue seeing triple-digit growth for eleven consecutive quarters. The company faces intense competition in the MaaS (Model-as-a-Service) sector from rivals like ByteDance and Tencent. The Token Foundry initiative represents Alibaba's effort to streamline execution and enhance competitiveness in this critical, fast-evolving landscape.

marsbitHá 59m

Alibaba's Yet Another New Business Division: What Signal Does It Send?

marsbitHá 59m

From Return to Resignation: Chen Hang's 437 Days at DingTalk

The 437-Day Return and Departure of Chen Hang at DingTalk This article chronicles the 437-day period from March 31, 2025, to June 11, 2026, when Chen Hang (also known as "No Move") returned as CEO of DingTalk, the enterprise communication platform he originally founded, only to later step down. Chen Hang, the creator of DingTalk in 2015, was brought back by Alibaba in 2025 after the company acquired his subsequent startup, HHO. His return was driven by Alibaba's renewed focus on AI and DingTalk's strategic role as its key to-B AI application. However, his aggressive management style, marked by strict work policies like mandatory clock-ins and extended hours, quickly caused internal friction and was criticized as being at odds with Alibaba's culture. Despite the internal turmoil, Chen Hang drove significant product launches. In August 2025, he unveiled "AI DingTalk 1.0," featuring new products like the AI-native entry point "DingTalk ONE." By March 2026, he announced "Wukong," touted as the world's first enterprise-grade AI-native work platform, representing a fundamental rebuild of DingTalk's architecture. The turning point came in early June 2026. A detailed internal post criticizing DingTalk's work culture went viral, followed by a public critique from a former executive. This prompted an unprecedented public rebuke from the Alibaba Partners Committee, which stated such management was not aligned with company values. One day later, on June 11, Alibaba announced Chen Hang's departure. He was succeeded by Chen Yusen, a 32-year-old technical expert known for founding cybersecurity firm Changting Technology. While Chen Hang's tenure laid the technical foundation for DingTalk's AI transformation with "Wukong," his leadership style ultimately led to his replacement as the company seeks a new direction under younger leadership.

marsbitHá 1h

From Return to Resignation: Chen Hang's 437 Days at DingTalk

marsbitHá 1h

Trading

Spot
Futuros
活动图片