RohOnChain Jev Agent Workflow
这是 Roan 公开的项目资料。本站按原始来源展示项目信息，用中文说明适用场景和阅读边界；项目名、源帖与代码保持原样，便于逐项核对。
这条案例记录了什么
Agent 与模型路由
根据任务状态选择一条已定义的处理路径。
社区公开项目或作者演示
原始来源：Original post on X by @RohOnChain。作者自述，本站未独立复现。
Roan
记录日期：2026-09-21。日期与身份应以原始资料为准。
怎样核对这个项目
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 如果提供仓库，再检查代码、运行要求和许可证；仓库存在不代表本站已经运行成功。
- 对速度、成本、准确率和规模数字，查看原文的任务、环境和计算口径。
- 路由候选是否完整。
- 模糊请求的回退分支。
- 完整任务成本与结果。
原始文字与技术细节
以下内容保留原语言，供核对事实。中文页的场景说明是阅读提示，不是逐句翻译或实测结论。
展开英文项目摘要与原帖
项目摘要
Jev 根据 TradingView 指标输出买入/卖出判断；作者声称约 81ms，并链接开源代码。
来源原文
Jev + TradingView is the most INSANE trading setup ever built for FREE i plugged TradingView into my Jev stack and now my 24/7 trading bot turns real-time live chart data into a calibrated buy or sell in JUST 81 milliseconds it's like the BEST chart data in the world feeding the FASTEST decision model in the world with this open source repo we get - > PREMIUM indicators in > a typed AI decision out > AND zero agent hallucination here is how you set it up for completely FREE: 1. clone the TradingView API repo (open-sourced on GitHub), one npm install gets you real time feeds, premium indicators and replay mode without a paid account 2. pull the live indicators into one compact state snapshot, RSI, MACD, Ichimoku, Supertrend, order flow, all in a single numeric object under 400 tokens 3. send that snapshot to Jev as a battery of typed questions, regime, direction, setup quality, risk, all scored in parallel in one call 4. Jev returns calibrated probabilities in 81 milliseconds, not text, not a guess, a typed buy sell or hold your code acts on directly 5. gate every trade on confidence, RLCD training makes the probability real so you Kelly size straight from the model output, nothing fires below your threshold 6. run it on replay mode first, free and unlimited across any timeframe, so you watch the engine decide on years of premium data before risking a cent 7. telegram alerts fire the chart snapshot, the Jev confidence score, direction, and the Kelly sized position the instant a setup lands the EXACT system i am running with JEV is in the article below:
原记录的限制
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.