AI-driven trading platform Nivex: Reshaping the crypto trading experience and risk management

On January 7, 2026, a successful AMA event titled “AMA – CRYPTO INFINITY <> Nivex_Official | REWARD $100” was held. Nivex Co-founder and CEO Simon V. Hardy participated alongside the Crypto Infinity team, engaging in in-depth discussions on core topics such as AI-driven trading, contract risk control, asset listing logic, incentive mechanisms, and long-term user value. The main points are as follows:

The core issue in crypto trading is not a lack of features, but the fragmentation of decision-making and risk logic. Simon pointed out that traders often need to switch frequently between different exchanges, wallets, and yield products, yet lack a unified risk management and decision-making framework. Nivex’s goal is not simply stacking features but integrating AI execution, institutional-level strategies, and automated risk management into a unified trading environment.

Platform design prioritizes preventing beginners from being eliminated too early, rather than solely optimizing efficiency for professional users. Nivex believes that most traders will experience losses in the first two to three years. Therefore, the platform focuses more on reducing the learning and trial-and-error costs for new users by simplifying the frontend experience while retaining institutional-grade core engines.

AI and copy trading mechanisms allow beginners to learn without necessarily incurring losses. The team stated that new users can directly use copy trading, dollar-cost averaging plans, and AI-assisted strategies without complex parameter settings. Both beginners and professional users share the same underlying trading engine, enabling learning and profit-making to occur simultaneously.

Asset listing decisions are based on “risk-adjusted liquidity,” not market hype. Simon emphasized that after observing multiple recent market cycles, the platform’s listing standards have become stricter, focusing on sustainable market depth, derivatives liquidity, performance under extreme conditions, and manipulation risks, rather than short-term trends or speculative sentiment.

The contract system is designed with extreme market conditions as the baseline, not an ideal state. Nivex’s contract engine treats high volatility as normal, employing dynamic margin recalculations, multi-layer liquidation buffers, AI position control, and strategic phased stop-loss mechanisms to reduce chain liquidations. The team stressed that the core goal is to control drawdowns, not pursue maximum leverage.

AI trading is not based on fixed rules but is continuously adaptive. The team distinguished between traditional quantitative bots and adaptive AI strategies. Unlike static rule systems, Nivex’s AI continuously adjusts strategies based on bull-bear cycles, volatility structures, liquidity patterns, and participant behaviors.

Copy trading emphasizes risk transparency rather than eye-catching returns rankings. Nivex does not focus on short-term profit leaderboards but highlights metrics such as historical drawdowns, volatility, trading frequency, average holding time, and risk levels, guiding users to select strategies that match their capital scale and risk tolerance.

Long-term investment products aim to shoulder decision-making pressure for users. For users who do not want to monitor markets frequently, Nivex offers dollar-cost averaging, yield-generating products, and institutional strategy portfolios, reducing daily decision burdens while maintaining ongoing market participation.

Security is regarded as infrastructure, not a marketing selling point. Simon stated that Nivex views security as a system-level engineering effort, employing cold and hot wallet separation, multi-signature custody, AI risk monitoring, compliant KYC/AML frameworks, and ongoing third-party audits to ensure long-term platform stability.

Incentive mechanisms serve long-term participation rather than short-term arbitrage. The team pointed out that rewards are linked to genuine trading behaviors, trading volume, and activity levels, with phased release mechanisms to prevent “reward-taking and leaving,” encouraging users to engage with the platform’s products and services over the long term.

Nivex’s differentiation lies not in the tools themselves but in “decision intelligence.” Simon summarized that traditional exchanges mainly provide trading tools, whereas Nivex aims to build decision-making capabilities—continuously delivering trading methods that remain effective in the current market environment, rather than relying on strategies that worked in the past.