Real-Time Financial Intelligence for AI Agents
QVeris gives your AI Agent access to Fear & Greed Index + 10,000+ financial capabilities through one unified protocol.
Use the fear and greed index as a market context layer, not a standalone trading signal. It helps an agent explain whether the environment is calm, speculative, defensive, or stressed.恐惧贪婪指数应该作为市场上下文层，而不是单独交易信号。它能帮助 Agent 解释当前环境是平静、投机、防御还是承压。
Add sentiment to daily market briefs so users understand tone before reading asset-level details.把情绪加入每日市场简报，让用户先理解市场基调，再看资产细节。
Combine sentiment with volatility, drawdown, volume, and macro events before changing alert priority.调整预警优先级前，要结合波动率、回撤、成交量和宏观事件。
Use thresholds and confirmation signals so an agent does not overreact to one sentiment score.设置阈值和确认信号，避免 Agent 因单一情绪分数过度反应。
Combine it with price action, news, macro data, crypto flows, portfolio exposure, and source metadata before using it in automated decisions.用于自动化决策前，应结合价格走势、新闻、宏观数据、加密资金流、组合敞口和来源元数据。
The Fear and Greed Index is a useful market sentiment snapshot, but it should not be treated as a trading signal by itself. Agents should compare it with price trend, volatility, liquidity, news flow, macro context, and portfolio exposure before producing a recommendation.
QVeris can connect sentiment indicators with market data, news APIs, technical signals, and risk checks. That makes the index a useful input in a broader monitoring workflow rather than a standalone decision engine.
Use the index to frame risk appetite, but validate it against fresh market and news evidence.
Trigger alerts only when sentiment changes combine with price, volatility, or liquidity events.
Return cautious summaries with sources, timestamps, and clear separation between signal and decision.
Implementation note: Sentiment tools are best used as context signals. For production agents, pair sentiment with price, volume, volatility, and news evidence, then make the confidence level explicit in the final response.
Fear and Greed Index 是有用的市场情绪快照，但不能单独当成交易信号。Agent 在输出建议前，应把它与价格趋势、波动率、流动性、新闻流、宏观背景和组合风险敞口一起比较。
QVeris 可以把情绪指标与市场数据、新闻 API、技术指标和风险检查连接起来。这样该指数会成为更大监控工作流里的输入，而不是独立决策引擎。
用指数描述风险偏好，但要用最新市场和新闻证据验证。
只有当情绪变化与价格、波动率或流动性事件同时出现时才触发预警。
返回谨慎摘要，包含来源、时间戳，并区分信号和决策。
实施注意事项：情绪工具最好作为上下文信号使用。生产级 Agent 应把情绪与价格、成交量、波动率和新闻证据一起判断，并在最终回答中明确置信度。
