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This Trading Project Offers Democratization of Access to Institutional-Grade AI Trading

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December 9, 2025
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This Trading Project Offers Democratization of Access to Institutional-Grade AI Trading
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Algosone.ai, an adaptive, machine-learning trading engine, was launched in 2022 and has been steadily growing its community.

It is now also preparing to launch its AIAO token next quarter. According to the team, the platform’s trading AI isn’t in beta testing but is a proven tool already used by thousands of retail traders.

The Platform: Building a Strong Foundation

At its core, AlgosOne’s appeal is its real and full democratization of access to institutional-grade AI trading. There is no complicated setup, no subscription charges or fees on deposits or trades, and no need for technical knowledge.

Users don’t need to create or even select strategies, manage risk, or execute trades. The advanced machine-learning software is plug-and-play, with the only cost being a commission that’s charged on winning trades.

Users can invest a minimum of $300 and lock funds for brief stretches, as short as a month, or for extended periods, as long as 36 months.

The team claims that for the last two years in a row, the AI has maintained a trade win rate of over 80%. In December 2024, it says, when the first 2-year trading contracts matured, all trading accounts hit the profit targets for their trading tier.

Word of mouth has seen AlgosOne’s user base grow year on year, and the enthusiastic community has spread the word across Reddit and Discord.

The Timing: Riding a Growing Trend

AIAO is at the intersection of two hot trends, AI and crypto. The timing is perfect, but that means nothing if the project is all hype with nothing to back it up.

However, AIAO isn’t riding a hype train. It is entering the market after years of community building, platform performance, and technological improvements.

The arrival of AIAO coincides with surging demand for real-world AI applications in crypto trading. This gives it narrative strength to accompany its technical merit.

AIAO’s upcoming launch stands out for its basis in a fully developed, working platform with innovative technology and meaningful token utility.

Providing Built-In Momentum

The AIAO presale will play out over 16 rounds, each of which will start with a guaranteed minimum 50% price increase on the last round.

To participate in the presale, users must complete KYC verification, register on the platform, and fund their accounts with a $300 minimum deposit. This helps protect the ecosystem from bots and early dumpers, while strengthening community participation, the team says.

Also, AlgosOne has committed to buying $100 million worth of AIAO during the public sale. AlgosOne has a fully operational, proprietary adaptive-learning platform, which, since it was launched just three years ago, has seen two major development upgrades and has strong community backing.

AIAO holders get governance rights and receive rewards by way of regular USD dividend payouts. Trading profits are boosted by token ownership.

According to them, AIAO offers real utility:

Dividends Paid in USD: AIAO will earn the holder dividend payouts at regular intervals throughout the year, based on company profits. The dividends will be paid directly into the token owner’s checking account, a rarity in crypto, echoing one of the very best features of traditional finance. Project Governance: Token ownership comes with voting rights, and more AIAO means more of a say in project developments, like platform features, release timelines, and more. A Trading Tier Boost: AIAO tokens can raise the holder’s trading tier. This unlocks higher projected profits, as more and larger trades are executed through the trading account, while commissions are lower.

Presenting multiple profit channels, the AIAO value proposition will likely appeal to both speculators and long-term investors, the team concludes.

Learn more: https://algosone.ai/

The post This Trading Project Offers Democratization of Access to Institutional-Grade AI Trading appeared first on Cryptonews.

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