The edge in automated execution has less to do with smarter models than with market structure.

HONG KONG, March 28, 2026 /PRNewswire/ — Derivatives exchange OneBullEx, launched in October 2025, has built its entire platform architecture around futures execution from day one. Its infrastructure vertically integrates automated execution systems and strategy development tools directly into the exchange core, so that the path from strategy construction to live futures execution runs on a single infrastructure layer with no third-party API dependencies. The timing aligns with a broader industry shift. On March 3, CFTC Chairman Michael Selig told the Milken Institute’s Future of Finance conference that his agency would create a framework for crypto perpetual futures within weeks, aiming to bring onshore a trading instrument that has until now existed almost entirely on offshore exchanges. The announcement followed a year of rapid movement: Coinbase launched CFTC-regulated perpetual-style futures for US retail traders in July 2025, Cboe introduced its own Continuous Futures for Bitcoin and Ethereum in December 2025, and Coinbase expanded into stock perpetual futures for non-US users in March 2026. Perpetual futures are becoming the default infrastructure layer for derivatives execution, and the US is racing to catch up.

AI technology is finding more and more applications across crypto. But in the execution layer specifically, its real home turns out to be futures. Futures contracts are standardized, margin-based, marked to market, and natively support both long and short exposure. These properties make systematic execution more straightforward than in spot markets, where execution logic gets tangled with custody, settlement, and borrowing mechanics. It is no surprise that automated execution has increasingly concentrated in derivatives, with perpetual futures accounting for more than 90% of global crypto derivatives trading volume.

This matters now because market participants are accelerating the shift from manual operations to automated execution. Processes that once depended on human screen-watching and manual order placement are increasingly being augmented by programmatic execution systems. Futures, with their built-in margin mechanics and contract-level standardization, are where execution automation becomes easiest to operationalize.

What Futures Give Machines That Spot Does Not

A spot trade means owning the asset outright. Even on a well-designed exchange with price-time priority matching, the execution system’s job mixes order logic with operational housekeeping: custody, settlement, and (if you want to express a bearish view) borrowing mechanics that vary by venue.

A futures contract strips that away. Positions are margin-based and marked to market continuously. Long and short exposure are symmetric by design, which means one execution framework can operate in both directions. Position sizing becomes a controllable parameter tied to margin rather than full notional ownership. Risk limits translate directly into margin thresholds. The granularity of risk and position management available to an execution system is finer, and the adjustable parameters are more explicit.

This is the logic behind platforms that choose to build around futures from the start. OneBullEx, a derivatives exchange launched in October 2025, made that choice explicitly. Its infrastructure is optimized for perpetual contracts and futures execution across 50+ trading pairs, with spot available as a secondary function. The platform architecture reflects the thesis that when execution systems need standardized inputs, symmetric positioning, and margin-based risk controls, futures-first design removes an entire layer of friction that spot-first platforms carry as legacy.

For an automated execution system, that difference changes how risk management, position calculation, and order handling work. Margin and mark-to-market are standard foundational mechanisms in futures markets, expressed through standardized terms, central clearing, margin as a performance bond, and daily settlement. These are the same features that make futures liquid and scalable, and they also make the market easier to turn into rules-based execution architectures.

In crypto perpetuals, the contract never expires. A funding rate (typically settled every eight hours) serves as the anchoring mechanism, pulling the perpetual price back toward spot. That rate is derived from the recent gap between futures and spot prices. On OneBullEx, this mechanism works as a regular fee exchanged between long and short holders, with the direction of payment determined by whether the contract trades above or below spot. For systematic execution, funding is an extra state variable. It reflects the real-time tilt in positioning and leverage distribution between longs and shorts. This signal does not exist in spot markets.

The Signals Automated Execution Finds Only in Derivatives

Futures markets produce data layers that spot order books lack. This is the most underappreciated reason automated execution gravitates toward derivatives.

Basis (the spread between spot and futures prices) and funding (the periodic cash exchange between longs and shorts in perpetuals) are anchoring signals native to derivatives markets. They tell an execution system how far derivatives have drifted from the underlying, and in which direction leverage is leaning. A system can treat that gap as a feature input, a risk control signal, or both.

Open interest adds a second layer of market intent. When perpetuals account for the majority of both volume and open interest in crypto futures, the positioning information embedded in derivatives becomes the densest available. Microstructure patterns, liquidation cascades, and sentiment proxies tend to surface there first, because that is where participants express conviction through leveraged capital. Where the signal is densest, the execution system should be running.

The question of signal transparency matters for how execution systems are evaluated. OneBullEx’s 300 SPARTANS marketplace, which hosts up to 300 automated execution systems each running distinct futures strategies, publishes every bot’s performance through Net Asset Value tracking with time-weighted rate of return calculations. Every order book, every trade history, and every position is visible and auditable. This kind of glass-box visibility gives execution systems and the users who subscribe to them the ability to verify performance against actual market conditions, rather than relying on backtested claims.

Order execution follows the same logic. In futures-style order books, where contract specs are standardized and matching rules are explicit, granular order-book data is a natural candidate for machine learning. Execution optimization and order-book modelling are technical use cases native to derivatives, growing organically from the market structure. On a spot-first infrastructure, they become patches awkwardly bolted on.

Why Price Discovery Matters for Automated Execution

A less obvious advantage: futures often lead the price discovery process.

Research on spot-futures price dynamics consistently finds that futures contribute a majority share of price discovery under typical conditions, with an even larger role when arbitrage signals are present. In crypto, standard price-discovery measures point to futures dominating. Deviations between futures and spot predict spot returns, while the reverse does not hold. Information moves from futures to spot, on average, with a lag.

Foreign exchange markets offer a useful reference. In periods when the spot market was less transparent, futures showed disproportionate information content and sometimes led spot by minutes. As spot transparency improved, the information share shifted. The lesson is clear: market design and transparency decide where informed capital concentrates. Futures venues, architected as centralized, rule-based auction environments with machine-legible transparency, naturally attract that capital. For systematic execution, the mapping from market state to order action is cleaner to learn where the signal is concentrated.

Higher Execution Efficiency Does Not Mean Lower Risk

Futures compress time. Leverage amplifies both profit and loss. Margin is a performance bond, and traders must post additional variation margin when accounts fall below maintenance levels. Crypto perpetuals are high-leverage instruments by design, and the details of order protection directly affect execution system outcomes. For example, when the spread between the latest contract price and a reasonable benchmark exceeds a threshold, a triggered take-profit or stop-loss order can be rejected. Any execution system operating on the venue must incorporate these rules into its modelling.

Automated execution systems need to get several things right at once: slippage assumptions must be conservative, operational monitoring must run continuously, and margin-mode awareness must be explicit across every position. A position can be liquidated even when funds exist elsewhere on the platform, depending on whether isolated or cross margin is active. OneBullEx addresses this directly in its platform design: its documentation walks users through how isolated margin confines risk to a single position while cross margin draws on the full account balance, and how choosing the wrong mode can lead to unexpected liquidation even when the overall account appears healthy. These are the details that determine whether an execution system survives a volatile session or gets caught by a margin call it failed to model.

The core requirement of automated execution is structure, and speed is only one dimension. Structure means knowing how a market behaves when things go wrong.

Where This Leads

The structural fit between automated execution technology and futures markets is driving a new class of futures-native platforms, designed around derivatives infrastructure from the start, with execution automation embedded in the trading architecture.

OneBullEx represents this design philosophy in practice. Beyond 300 SPARTANS, its OneALPHA product provides a natural-language-driven strategy development tool that routes a user’s described execution logic through five specialized processing stages, from hypothesis generation and code construction to walk-forward validation and infrastructure management, producing a deployable futures execution framework without requiring the user to write code. The platform’s design allows strategy creators to focus on execution logic and validation quality, with the infrastructure handling deployment, monitoring, and operational stability.

The broader pattern matters more than any single platform. Automated execution technology is most likely to mature first in futures, because futures were built for structured execution.

Execution technology will keep getting better. The market discipline it depends on is not new. Futures were built for it.

About OneBullEx

OneBullEx is a next-generation derivatives trading platform offering USDT-settled perpetual futures, automated trading systems, and secure infrastructure for global users. Powered by OneMore Group, OneBullEx combines institutional-grade oversight with cutting-edge trading technology to provide a stable, transparent, and efficient environment for traders worldwide.

SHENZHEN, China, March 28, 2026 /PRNewswire/ — MicroCloud Hologram Inc. (Nasdaq: HOLO) (“MicroCloud” or the “Company”) today announced that it has filed its annual report on Form 20-F for the fiscal year ended December 31, 2025, with the U.S. Securities and Exchange Commission (the “SEC”). MicroCloud is dedicated to the research, development, and application of holographic technology, striving to offer leading holographic technology services to customers.

The Company delivered strong operating and financial performance in 2025, highlighted by robust revenue growth, continued net loss improvement and a substantial strengthening of liquidity and capital resources.

Financial Highlights for Fiscal 2025:

Total revenue reached RMB 403.7 million (USD 56.5 million), representing a 39.1% increase from RMB 290.3 million in 2024, driven by strong demand for holographic solutions and expanded holographic technology services.

Net loss continued to narrow to RMB 50.2 million (USD 7.0 million), compared with a net loss of RMB 64.2 million in 2024, demonstrating steady operational efficiency improvement.

Customer quality and retention improved. And overall customer retention rate rose to 41% in 2025 from 34% in 2024.

Working capital was approximately RMB 2,693.7 million (USD 383.2 million) as of December 31, 2025, representing a 70.5% increase from RMB 1,580.2 million in 2024, ensuring ample financial flexibility for long-term growth.

The information disclosed in this press release does not purport to be complete and is qualified in its entirety by reference to the Company’s annual report on Form 20-F. The annual report, which contains the Company’s audited consolidate statements, can be accessed on the SEC’s website at http://www.sec.gov and on the Company’s investor relations website at http://ir.mcholo.com/..

The Company will provide a copy of its annual report containing the audited consolidated financial statements, free of charge, to its shareholders upon request. Requests should be directed to Investor Relations Department, Room 302, Building A, Zhong Ke Na Neng Building,Yue Xing Sixth Road, Nanshan District, Shenzhen,The People’s Republic of China..

About MicroCloud Hologram Inc.

MicroCloud provides a wide range of holographic technology services in the holographic industry, including high-precision holographic light detection and ranging (LiDAR) solutions based on holographic technology, exclusive holographic LiDAR point – cloud algorithm architecture design, breakthrough holographic imaging technology solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology to serve customers that provide reliable holographic advanced driver assistance systems (ADAS). MicroCloud also offers holographic digital twin technology services for customers and has established a proprietary holographic digital twin technology resource library.

Safe Harbor / Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements can be identified by terms such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” and similar expressions. Statements that are not historical facts, including statements about the Company’s beliefs and expectations, are forward-looking statements. Among other things, the business outlook and the Company’s strategic and operational plans contain forward-looking statements. Forward-looking statements are not guarantees or assurances of future performance and involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: the Company’s goals and strategies; the Company’s future business development, financial condition, and results of operations; the expected growth of the holographic industry; and the Company’s expectations regarding demand for and market acceptance of its products and services. Further information regarding these and other risks is included in the Company’s annual report on Form 20-F, and current report on Form 6-K, as well as other documents filed with the SEC. All information provided in this press release is as of the date of this press release, and the Company does not assume any obligation to update any forward-looking statement, except as required under applicable laws.

XIAMEN, China, March 28, 2026 /PRNewswire/ — Hitek Global Inc. (NASDAQ: HKIT) (“Hitek Global” or the “Company”),a China-based information technology consulting and solutions service provider, today announced that it has entered into securities purchase agreements with certain institutional investors for the purchase and sale of 100,000,000 Shares of Class A Ordinary Shares (the “Shares”) (or pre-funded warrants in lieu thereof), at an offering price of $0.03 per share in a registered direct offering (the “Offering”).

The gross proceeds to the Company from the registered direct offering are estimated to be approximately $3 million before deducting the placement agent’s fees and other estimated offering expenses. The offering is expected to close on or about March 30, 2026, subject to the satisfaction of customary closing conditions.

Univest Securities, LLC is acting as the sole placement agent.

The registered direct offering is being made pursuant to a shelf registration statement on Form F-3 (File No. 333-279459) previously filed by the Company with the U.S. Securities and Exchange Commission (“SEC”) and became effective by on May 29, 2024. A final prospectus supplement and accompanying prospectus describing the terms of the proposed offering will be filed with the SEC and will be available on the SEC’s website located at http://www.sec.gov. Electronic copies of the final prospectus supplement and the accompanying prospectus may be obtained, when available, by contacting Univest Securities, LLC at info@univest.us, or by calling +1 (212) 343-8888.

This press release does not constitute an offer to sell or the solicitation of an offer to buy, nor will there be any sales of such securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of such jurisdiction. Copies of the prospectus supplement relating to the registered direct offering, together with the accompanying base prospectus will be filed by the Company and, upon filing, can be obtained at the SEC’s website at www.sec.gov.

About Hitek Global Inc.

Hitek Global Inc., headquartered in Xiamen, China, is an IT consulting and solutions service provider focusing on delivering services to business in various industry sectors in China. As of the date of this annual report, we have two lines of businesses— 1) services to small and medium businesses (“SMEs”), which consists of Anti-Counterfeiting Tax Control System (“ACTCS”) tax devices, ACTCS services, and 2) services to large businesses, which consists of hardware sales and software sales. We expect to actively develop our system integration services and online service platform in the near future. Our vision is to become a one-stop consulting destination for holistic IT and other business consulting services in China. For more information, visit the Company’s website at http://ir.xmhitek.com/.

Forward-Looking Statements

Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on current expectations and projections about future events and financial trends that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can identify these forward-looking statements by words or phrases such as “may,” “will,” “expect,” “anticipate,” “aim,” “estimate,” “intend,” “plan,” “believe,” “potential,” “continue,” “is/are likely to” or other similar expressions. The Company undertakes no obligation to update forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company’s registration statement and in its other filings with the U.S. Securities and Exchange Commission.

HONG KONG, March 27, 2026 /PRNewswire/ — 

Introduction

A new shift is taking shape in crypto trading. By embedding AI-driven research and validation tools into exchange-level infrastructure, platforms such as OneBullEx are beginning to define a new kind of technical architecture for the crypto derivatives era. It signals a broader transition in how crypto platforms are built, where intelligence, execution, and system-level efficiency are becoming as important as market access itself.

 Blockchain originally promised ownership, but in crypto futures, that promise was diluted. Participants may have access to markets, yet they often lack visibility into how strategies are validated, how performance is measured, and how execution pipelines operate. That gap between market access and operational transparency is one of the deeper tensions driving the evolution of exchange infrastructure today.

AI reshapes crypto futures infrastructure

Unlike stocks, cryptocurrency markets never close. Bots operate continuously, scanning decentralized finance (DeFi) protocols, social media and news to act within seconds. Coincub estimates that 70% of global trading volume is now executed by algorithms, primarily institutional bots. The quality of data feeding these systems matters as much as speed. Nasdaq’s AI‑driven M‑ELO order type, which uses reinforcement learning to adjust a hidden order’s hold period in real time, increased fill rates by 20.3% and reduced price mark‑outs by 11.4% compared with static parameters.

 The growth of AI-driven trading infrastructure is also changing the architecture of crypto exchanges themselves. Rather than positioning itself broadly, OneBullEx is focusing on a narrower category as a futures-first platform where AI underpins the technical architecture from the ground up. Futures remain the core strategic priority, and the exchange provides a unified environment for quantitative research, strategy validation, and deployment.

 The OneBullEx ecosystem combines three layers of functionality within a single platform. The exchange infrastructure provides the settlement and execution foundation. 300 SPARTANS operates as a systematic execution layer where rules-based programs, each having passed walk-forward testing before deployment, run continuously according to predefined parameters. OneALPHA functions as a quantitative research pipeline that converts natural-language strategy hypotheses into structured, backtested code through a five-agent workflow.

“The structural challenge in crypto futures infrastructure has always been that quantitative research tools and accessible interfaces pull in opposite directions,” said a OneBullEx representative. “We built OneALPHA and 300 SPARTANS into the exchange architecture so that the research-to-deployment pipeline lives in one environment. That integration is what defines the platform’s technical approach.”

Generational adoption and behavioural shifts

A report based on data from the MEXC exchange found that 67% of Gen Z traders activated at least one AI‑powered trading bot in Q2 2025. Younger traders treat bots as volatility management tools: 73% enable bots during market uncertainty and disable them in calmer periods. The report noted that rule-based execution reduced panic-driven exits by 47% compared with manual approaches, as predefined parameters removed the emotional variable from the process.

Yet AI trading is not a panacea. Coincub warns that most profits still accrue to institutional players with capital and co‑location privileges, and bots cannot rescue an inherently bad strategy.

Manual vs algorithmic execution: a structural comparison

The operational gap between manual and automated trading is widening across several dimensions. In terms of speed and latency, manual traders execute through user interfaces with latency measured in seconds or minutes, while algorithmic systems operate in microseconds via co‑located servers. Emotional discipline is another divide: human traders are subject to fear and greed, with panic sell‑offs common, whereas bots execute pre‑defined rules and reduce panic selling by 47%. Availability compounds the problem further, since traders need sleep but crypto markets never close, and bots operate around the clock without interruption. On accessibility, manual trading apps remain widely available with a low barrier to entry, but AI‑driven tools still often require coding knowledge or access to bot platforms, and retail bots face higher fees and slower infrastructure that limit profitability.

One unresolved tension in this space is that many algorithmic tools remain institutionally shaped even when marketed to individual users. OneBullEx’s architectural response is to collapse the gap between research capability and interface usability. OneALPHA makes strategy research accessible through natural language input, while the platform’s integrated validation pipeline (walk-forward optimization, forensic performance breakdowns, glass-box code visibility) provides the kind of rigour typically associated with institutional-grade research workflows.

Risks, regulatory responses and hidden challenges

Even as AI improves efficiency, it introduces new risks. The 2010 Flash Crash showed how algorithmic feedback loops can destabilise markets. Wharton researchers warn that AI trading agents could collude without explicit coordination: algorithms might punish competitors who undercut prices or adopt similar learning biases, leading to higher prices and reduced market liquidity.

Regulators are responding. The U.S. Commodity Futures Trading Commission (CFTC) issued a request for comment in January 2024 asking how AI impedes anti‑fraud enforcement and whether current rules adequately address algorithmic manipulation. Commissioner Kristin Johnson proposed surveys of AI use and heightened penalties for AI‑driven misconduct. The CFTC’s Technology Advisory Committee recommended transparency around black‑box algorithms and adoption of AI risk‑management frameworks aligned with the U.S. National Institute of Standards and Technology (NIST) guidelines.

If AI-native markets are to scale responsibly, automation needs to be supported by transparency, integrity, and auditable performance. OneBullEx reflects that direction through an architecture built around validated research pipelines, fair NAV-based accounting, visible performance histories, and a glass-box approach to strategy code generation that contrasts with the opaque models drawing increasing regulatory scrutiny.

Conclusion

The structural evolution of crypto futures is happening at the infrastructure level. As algorithmic participation grows and regulators push for greater transparency, the architecture of exchanges matters more than it used to. OneBullEx’s approach, embedding quantitative research tools and systematic execution pipelines directly into the exchange, offers one model for how that architecture can evolve.

About OneBullEx

OneBullEx is a next-generation derivatives trading platform offering USDT-settled perpetual futures, automated trading systems, and secure infrastructure for global users. Powered by OneMore Group, OneBullEx combines institutional-grade oversight with cutting-edge trading technology to provide a stable, transparent, and efficient environment for traders worldwide.