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Exchanges

PriveX introduces Agents Arena to enable autonomous perps trading on COTI

NBTCBy NBTC20/12/2025No Comments2 Mins Read

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Decentralized perpetuals exchange PriveX has launched Agents Arena, a new marketplace for creating and deploying autonomous trading agents on the COTI Network, as per the reports shared with Finbold on Wednesday, December 10.

The platform introduces an AI-driven trading environment where agents can execute complex strategies with speed, accuracy, and round-the-clock reliability.

Operating on COTI’s encrypted compute layer, Agents Arena allows developers and traders to design intelligent agents that trade with real capital, react to live market data, and adapt to rapidly changing conditions.

The launch marks a milestone for automated decentralized finance (DeFi) infrastructure, giving professional and semi-professional traders access to a new layer of programmable trading intelligence.

Programmable autonomous agents for next-gen on-chain trading

PriveX agents can be programmed to analyze key variables such as volatility, sentiment, funding rates, and macro shifts, and to execute perpetual futures strategies accordingly.

Furthermore, creators can design agents focused on specific methodologies such as momentum trading, mean reversion, or multi-signal confirmation, and even deploy multiple agents that coordinate across different strategies.

The marketplace supports a range of specialized agent types, including a Quant Analyst scanning funding rate imbalances and volatility spreads for delta-neutral trades, a High-Frequency Scalper reacting to micro-structure inefficiencies, a Technical Specialist waiting for RSI and EMA alignment, a Swing Strategist targeting multi-hour trends with adaptive stops, and a Sentiment Interpreter using social and on-chain data to anticipate market rotations.

For a limited time, creating agents on PriveX is free, and those launched during the initial period will benefit from ultra-low trading fees of 0.001%, offering early participants a strong incentive to experiment and build.

Featured image via Shutterstock.

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