AI Investment Frontier AI 投资前沿：市场信号可能来自谁在交易，而不只是交易什么 一项新的市场微观结构研究说明，参与者历史可以成为投资 AI 的时变证据层，但必须同时面对可迁移性、隐私和信号衰减问题。
AI Investment Frontier AI Investment Frontier — The Signal May Be Who Trades, Not Just What They Trade A new study of public trader identities shows why investment AI should model participant histories as a time-varying evidence layer—while treating portability, privacy, and decay as first-class risks.
AI Investment Frontier AI Investment Frontier — State-First Microstructure Models Beat Fancy Friction A new crypto futures paper argues that liquidity state should come before order flow, and that latency is a separate frontier from prediction accuracy.
AI Investment Frontier AI 投资前沿 — 交易频率才是模型能否落地的分水岭 一篇新的跨资产期货研究再次提醒我们：学出来的策略不怕聪明，怕的是太爱交易。真正能落地的模型必须经得住换手和成本。
AI Investment Frontier AI 投资前沿：模型真正赢在少交易 本周两篇新论文说明，投资 AI 的边界正在从“更准的预测”转向“更稳的策略、更低的换手率、以及更像真实市场的状态估计”。
AI Investment Frontier AI Models Win by Trading Less, Not Just Forecasting Better Two new July papers suggest the edge in investment AI is shifting from better predictions to better policies, lower turnover, and cleaner state estimation.
AI Investment Frontier End-to-End Portfolio Policies Are Getting Real A new futures-timing paper shows when end-to-end AI policies beat simple rules, and why transaction costs still decide whether the edge survives.
AI Investment Frontier 执行模型需要“时间意外”遥测 一篇 2026 年 6 月的 arXiv 论文提醒投资 AI 构建者：执行系统不能只等滑点统计显著后才反应，而应记录成交后不利价格事件是否过快出现。
AI Investment Frontier Execution Models Need Timing-Surprise Telemetry A new arXiv proposal argues that execution systems should detect market impact from the timing of adverse prints after fills, not only from slow slippage statistics.
AI Investment Frontier 执行 AI 需要因果影响传感器 A June 2026 arXiv paper on real-time price impact detection shows why AI execution systems need action-level causal telemetry, not only slippage dashboards.
AI Investment Frontier Execution AI Needs a Causal Impact Sensor A June 2026 arXiv paper on real-time price impact detection shows why AI execution systems need action-level causal telemetry, not only slippage dashboards.
AI Investment Frontier 订单簿 RL 需要下行感知策略层 A fresh arXiv paper applies group-aware policy optimization to limit order book trading, useful less as a trading claim than as a design pattern for downside-aware RL evaluation.
AI Investment Frontier Order Book RL Needs a Downside-Aware Policy Layer A fresh arXiv paper applies group-aware policy optimization to limit order book trading, useful less as a trading claim than as a design pattern for downside-aware RL evaluation.
AI Investment Frontier 智能体交易：为什么 LLM 交易智能体需要证据账本 《Agentic Trading: When LLM Agents Meet Financial Markets》显示，LLM 交易智能体在进入生产信任之前，需要证据账本、真实成本、执行语义和可复现评估。
AI Investment Frontier Agentic Trading: Why LLM Trading Agents Need an Evidence Ledger The arXiv paper “Agentic Trading: When LLM Agents Meet Financial Markets” shows why LLM trading agents need reproducible evidence ledgers, realistic costs, and auditable execution semantics.
