solsticestudioai/arc-t-defi-execution-sample

这是一个关于去中心化金融（DeFi）自主交易代理的合成数据集，名为Solstice ARC-T DeFi Execution Intelligence (Sample)。数据集包含3000个多步决策轨迹，模拟了交易代理在DeFi生态系统中的操作。每条记录代表一个完整的执行循环，包括模拟的市场状态（如预言机价格、流动性深度和波动性触发器）、风险评估（如鲸鱼移动信号和预言机陈旧性指标）、代理推理（如蒙特卡洛树搜索策略选择）以及执行结果（如交易结果、gas成本和滑点）。数据集可用于自主代理训练、风险模型评估和异常检测等用途。数据是通过Solstice的PhantasOS / SIMA模拟引擎生成的，100%合成，未使用真实钱包地址或链上历史数据。

This is a synthetic dataset about decentralized finance (DeFi) autonomous trading agents, named Solstice ARC-T DeFi Execution Intelligence (Sample). The dataset captures 3,000 multi-step decision traces from autonomous trading agents operating in a simulated DeFi ecosystem. Each record in the JSONL stream represents a full execution loop, including simulated market state (such as oracle prices, liquidity depths, and volatility triggers), risk assessment (such as whale movement signals and oracle staleness metrics), agent reasoning (such as MCTS-style strategy selection), and execution outcome (such as final trade result, gas costs, and slippage). The dataset can be used for autonomous agent training, risk model evaluation, and anomaly detection. The data is generated using Solstice’s PhantasOS / SIMA simulation engine, 100% synthetic — no real wallet addresses or on-chain history used.