Convert market regime context into compliant bullish, bearish, or neutral technical signals.
npx skills add https://github.com/longsizhuo/openInvest --skill quant-longsizhuo
Please help me install this Agent Skill. Skill: quant Source: https://github.com/longsizhuo/openInvest/tree/main/agents/skills/quant Command: npx skills add https://github.com/longsizhuo/openInvest --skill quant-longsizhuo
帮你把给定的市场 REGIME 转化为可执行的技术面买卖信号，避免在不该抄底或追涨时出错。
让 AI 分析你标的 {{asset_symbol}}，并在收到 REGIME 上下文后直接输出该资产的技术 SIGNAL 与证据要点。
High-intent search queries and answers about installing and using this skill.
To convert market regime context into technical trading signals, you map uptrend, downtrend, range_bound, crash, or unknown regimes to compliant bullish, bearish, or neutral signals using strict regime constraints and historical price data.
Multi-timeframe market regime analysis requires moving averages and RSI indicators across historical price and volume data to validate technical signals and provide key quantifiable evidence for asset analysis.
To prevent false buy signals during uptrend exhaustion, you enforce deviation checks and identify overbought or convergence signals, downgrading the output to neutral when necessary to avoid incorrectly chasing price momentum.
Yes, you can generate audit-ready investment memos from single-asset technical signals by enforcing strict regime constraints and outputting original regime fields alongside key multi-timeframe technical data for compliance tracking.
You should downgrade a bullish technical signal to neutral during an uptrend when multi-timeframe indicators detect overbought conditions or convergence, signaling exhaustion and preventing premature trend continuation entries.
Single-asset technical analysis works without fundamental data by strictly relying on historical price, volume, moving averages, and RSI indicators across different market regimes to produce compliant bullish or bearish outputs.
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