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Home Metaverse

Aurum’s CEO On How AI and Machine Learning Redefining Crypto Trading

Digital Pulse by Digital Pulse
December 10, 2025
in Metaverse
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Aurum’s CEO On How AI and Machine Learning Redefining Crypto Trading
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by
Alisa Davidson


Printed: December 10, 2025 at 6:00 am Up to date: December 10, 2025 at 5:47 am

by Ana


Edited and fact-checked:
December 10, 2025 at 6:00 am

To enhance your local-language expertise, generally we make use of an auto-translation plugin. Please notice auto-translation is probably not correct, so learn authentic article for exact info.

In Transient

Aurum leverages AI and machine studying to investigate huge market knowledge and execute crypto trades with pace, precision, and steady effectivity.

Aurum’s CEO On How AI and Machine Learning Redefining Crypto Trading

AI has reworked buying and selling by enabling techniques to course of huge quantities of historic and actual‑time market knowledge far past human capability. By combining previous value and quantity knowledge, order‑e-book dynamics, on‑chain metrics, and sentiment indicators from information or social media, AI can detect patterns and market inefficiencies which may take human merchants days to identify—or that people may miss completely.

In a dialog with Mpost, Bryan Benson, CEO of Aurum, defined how the platform leverages AI and machine studying to establish buying and selling alternatives, handle threat, and execute trades at speeds and scales unattainable for human merchants.

AI buying and selling algorithms can course of large quantities of market knowledge in milliseconds, recognizing patterns and alternatives that might take human merchants days. Aurum’s AI fashions leverage each historic and reside cryptocurrency knowledge to establish mid-term buying and selling alternatives which may elude guide merchants.

“It’s all about scale and pace,” the Aurum founder stated. “A human dealer may observe 5 indicators on just a few belongings. Our AI analyzes 1000’s of information factors throughout each main trade and updates positions in milliseconds.” Years of historic value motion, order e-book depth, quantity developments, and on-chain metrics train the fashions which patterns repeat throughout cycles. However historical past alone isn’t sufficient. “We validate it towards reside indicators—social sentiment, breaking information, whale pockets actions, liquidity shifts on DEXs. The AI repeatedly adjusts, so it may act earlier than people even discover a chance.”

Overcoming Human Bias And Unstable Markets

As retail merchants usually succumb to worry and greed, AI techniques execute trades purely on knowledge and preset guidelines. This requires ample coaching and validation of the AI fashions to keep away from human biases and preserve self-discipline throughout extremely unstable market swings.

“The fantastic thing about AI is that it has no baggage,” the Aurum founder defined. “No worry, no ego, no emotional reminiscence of previous losses. We practice it on the worst durations in crypto historical past—flash crashes, liquidation cascades, panic sell-offs. These are precisely the moments when our fashions shine.” Drawing from their expertise as Managing Director at Binance, they added: “I’ve seen merchants abandon guidelines underneath strain. The AI doesn’t do this. It follows self-discipline, not emotion.”

Unlocking Advantages Of AI Buying and selling Bots: Arbitrage And 24/7 Buying and selling Benefit

Aurum’s AI buying and selling bot is exclusive as a result of it’s able to varied actions on par with people—it implements arbitrage and different grid-trading methods.

“Sure, arbitrage is core, however we do it in a different way,” the founder stated. “We use AAVE’s flash loans to execute trades in a single atomic transaction. The AI spots value discrepancies throughout DEXs, borrows funds, buys low, sells excessive, repays the mortgage—and if something fails, all of it reverts. The one price is fuel.” By integrating straight with main DEXs and checking liquidity in actual time, the system solely executes when the unfold ensures revenue.

Addressing issues associated to market volatility, he additional famous: “Conventional stop-losses aren’t wanted for our flash mortgage arbitrage mannequin. Volatility creates alternative. Wider spreads between exchanges generate extra arbitrage. Place sizing and threat limits are adaptive, constructed into the system.”

Moreover, the answer presents alternatives for twenty-four/7 nonstop buying and selling, which is advantageous to customers.

“People want sleep, weekends off, time away from screens,” the founder stated. “The market doesn’t. Among the sharpest strikes occur on Sunday nights, when liquidity dries up, or throughout timezone handoffs between Asia, Europe, and the U.S. Our AI by no means sleeps. It sees inefficiencies, reacts immediately, and captures alternatives earlier than anybody else does.”

“Our philosophy is zero stress for the consumer,” they stated. “Complexity occurs on our facet. Zeus AI Bot lives on Telegram, so folks handle portfolios the place they already spend time—no new apps, no studying curve. You verify in once you need, not as a result of you need to.”

Relating to the info inputs and options Aurum’s buying and selling AI makes use of, to make sure the standard and relevance of indicators, Bryan Benson notes: “We use all the things that issues—value, quantity, order books, on-chain metrics like whale wallets, DEX liquidity, and curated social sentiment,” they stated. “Most on-line chatter is noise. A $50 million whale transfer outweighs a thousand tweets. The AI weights indicators primarily based on historic reliability and acts solely once they align.”

Advancing With Steady Efficiency Optimization

As a way to consider efficiency and set life like expectations, Aurum does a number of issues: “We observe ROI, Sharpe ratio, drawdowns, and different risk-adjusted metrics,” the founder defined. “Previous efficiency isn’t a assure. Markets evolve. Any system promising risk-free returns isn’t sincere. We’re clear with customers about potential and limits.”

“Whereas we maintain the precise structure proprietary, our staff—from Binance, Morgan Stanley, IBM, and OKX—specializes on this degree of labor,” the founder stated. “Fashions are stress-tested on unseen market circumstances. The proof is reside efficiency: bull runs, corrections, sideways markets. They’re not simply memorizing patterns—they’re adapting.”

Wanting forward, Aurum’s CEO expects AI-based buying and selling to grow to be ubiquitous for crypto buyers. “It’s inevitable,” he stated. “Most retail merchants lose cash manually. DeFi is the place it will get thrilling—flash loans, layer-2s, deeper DEX liquidity, richer on-chain knowledge. The following frontier? Comfortable indicators—social chatter, governance votes, developer exercise. AI that interprets these human indicators could have an actual edge.”

Disclaimer

In step with the Belief Venture pointers, please notice that the knowledge offered on this web page just isn’t meant to be and shouldn’t be interpreted as authorized, tax, funding, monetary, or another type of recommendation. It is very important solely make investments what you may afford to lose and to hunt impartial monetary recommendation in case you have any doubts. For additional info, we advise referring to the phrases and circumstances in addition to the assistance and assist pages offered by the issuer or advertiser. MetaversePost is dedicated to correct, unbiased reporting, however market circumstances are topic to alter with out discover.

About The Writer


Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and have interaction readers within the ever-evolving panorama of digital finance.

Extra articles


Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and have interaction readers within the ever-evolving panorama of digital finance.








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