| 2026-04-09 23:07 | message | assistant | - | - | [[reply_to_current]] 可以，基于当前本地样本与现有轻量特征，我建议这样筛选 2026-03-01 至 2026-03-15 的山东独立储能现货交易示范日。 ## 一、轻量候选日排序逻辑 我采用“**可讲清楚**优先，而不是单纯追求理论最大价差”的筛选逻辑，重点看 4 件事： | 维度 | 关注点 | 含义 | |---|---|---| | 价格波动 | volatility_score、极值表现 | 有波动才有示范空间，但过于混乱会降低可解释性 | | 峰谷价差 | daily_spread_mean、daily_spread_p90 | 看是否存在足够明显的“低充高放”收益带 | | 窗口可展示性 | low_charge_window_count、high_discharge_window_count、连续区间形态 | 是否能讲成“一个清晰低价充电段 + 一到两个高价放电段” | | 案例讲述性 | continuity、碎片度、规则约束适配 | 是否能在 SOC、最小持续时长、分段复杂度下讲成一个可信故事 | ### 实际排序原则 1. **先看 final_demo_score 作为基础排序** 2. **再人工校正**，把“价差很大但过碎、过极端、不利于演示”的日期往后放 3. **优先保留能讲成紧凑操作故事的日期**，即： - 低价窗口足够连续 - 高价窗口集中 - 不需要太多充放切换 - 符合 4 个结算时段以上连续动作、SOC 10%到90%、日循环不过深等简化约束 --- ## 二、Top 3 候选日期建议 ### Top 1, 2... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | Plan updated. |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | DATE 2026-03-02 front min/max 286.3 578.0 settlement min/max 289.5 525.4 spread min/max -136.4 75.3 low_thr 298.0 high_thr 401.2 low_runs [(1, 8), (13, 29)] high_runs [(53, 60), (73, 88)] longest neg (19, 23) longest pos (86, 90) DATE 2026-03-03 front min/max 320.2 597.6 settlement min/max 326.3 496.3 spread min/max -128.6 102.3 low_thr 334.0 high_thr 404.4 low_runs [(3, 3), (5, 17), (19, 29), (96, 96)] high_runs [(33, 36), (41, 48), (81, 92)] longest neg (21, 23) longest pos (10, 17) DATE 2026-03-06 front min/max -80.0 725.0 settlement min/max -80.0 714.3 spread min/max -181.7 538.8 low_thr -80.0 high_thr 567.6 low_runs [(6, 8), (11, 19), (23, 25), (39, 65)] high_runs [(69, 76), (81, 96)... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | # Daily Feature Workflow ## Purpose This workflow turns interval-level market extracts into a daily ranking that helps answer: > Which March 2026 dates are the best candidates for demonstrating Shandong independent storage spot-trading logic, given market behavior, operational constraints, and boundary signals? The workflow is intentionally lightweight, deterministic, and explainable. It is meant to support an orchestrated demo, not to serve as a predictive model. ## Expected input format `derive_daily_features.py` expects an interval-level CSV with at least these columns: - `scenario_date` - `interval_index` - `front_node_price` - `user_settlement_price` Example shape: ```csv scenario_da... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | # Shandong Independent Storage Spot Trading Rule Brief This note summarizes a practical operating frame for evaluating independent battery storage participation in spot-style energy trading under a Shandong-style dispatch context. The purpose is to translate market observations into executable decision boundaries that are simple enough for screening, but strict enough to avoid unrealistic schedules. ## Core operating boundaries 1. **SOC operating band** - Maintain normal dispatch within `10%` to `90%` SOC. - Treat `5%` and `95%` as hard emergency bounds, not routine targets. 2. **Interval state exclusivity** - Each settlement interval must be in exactly one state: `charge`, `discharge`, o... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | scenario_date,interval_index,front_node_price,user_settlement_price 2026-03-01,1,324.0000,319.0160 2026-03-01,2,316.0000,319.0160 2026-03-01,3,318.0000,319.0160 2026-03-01,4,318.0000,319.0160 2026-03-01,5,312.0000,309.2640 2026-03-01,6,310.0000,309.2640 2026-03-01,7,308.0000,309.2640 2026-03-01,8,307.0000,309.2640 2026-03-01,9,314.0000,304.4000 2026-03-01,10,306.0000,304.4000 2026-03-01,11,298.3300,304.4000 2026-03-01,12,298.5035,304.4000 2026-03-01,13,299.8322,299.1460 2026-03-01,14,298.2745,299.1460 2026-03-01,15,298.3201,299.1460 2026-03-01,16,297.9746,299.1460 2026-03-01,17,299.5259,298.6980 2026-03-01,18,296.0241,298.6980 2026-03-01,19,298.2720,298.6980 2026-03-01,20,297.3015,298.698... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | # Shandong Storage Analysis Scope ## Objective Identify the most suitable dates in March 2026 for illustrating independent storage spot-trading logic using the available market data and a compact operating rule set. ## Intended question type The analysis should answer questions of the form: - Which March 2026 days best demonstrate charge-low / discharge-high storage logic? - Which dates show a clean operating narrative rather than only a large theoretical spread? - Which candidate days are easiest to explain with realistic SOC, duration, and cycle constraints? ## Expected outputs - a short list of candidate demonstration dates, - a comparison of why those days are stronger or weaker, - a ... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | date,avg_front_price,avg_user_settlement_price,daily_spread_mean,daily_spread_p90,low_charge_window_count,high_discharge_window_count,spread_continuity_score,volatility_score,raw_opportunity_score 2026-03-01,427.833,428.1822,0.3492,37.7465,1,1,7.2917,74.0385,12.1133 2026-03-02,371.6248,372.1037,0.4789,23.0427,2,2,5.2083,41.0407,39.486 2026-03-03,380.0425,380.3585,0.3161,18.038,2,3,8.3333,36.588,47.2475 2026-03-04,444.2291,444.6557,0.4266,22.871,1,2,5.2083,78.6924,12.1583 2026-03-05,406.3168,406.7433,0.4266,29.726,2,2,5.2083,70.092,37.5548 2026-03-06,213.9227,226.0543,12.1316,85.6413,2,2,11.4583,180.2925,47.7309 2026-03-07,278.703,282.831,4.1281,29.6687,1,2,8.3333,58.462,24.0046 2026-03-08... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | date,avg_front_price,avg_user_settlement_price,daily_spread_mean,daily_spread_p90,low_charge_window_count,high_discharge_window_count,spread_continuity_score,volatility_score,weather_risk_score,final_demo_score,rank 2026-03-10,121.4099,131.6409,10.2309,81.2473,1,4,7.2917,105.4321,0.2600,37.7612,1 2026-03-03,380.0425,380.3585,0.3161,18.038,2,3,8.3333,36.588,0.3300,25.1609,2 2026-03-02,371.6248,372.1037,0.4789,23.0427,2,2,5.2083,41.0407,0.2400,20.1344,3 2026-03-05,406.3168,406.7433,0.4266,29.726,2,2,5.2083,70.092,0.2200,15.3555,4 2026-03-07,278.703,282.831,4.1281,29.6687,1,2,8.3333,58.462,0.1900,15.1797,5 2026-03-08,416.4071,420.8773,4.4702,42.4694,2,2,7.2917,81.8153,0.4600,12.2198,6 2026-0... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | ./shared-pool/shandong-storage-demo/docs/daily_feature_workflow.md ./shared-pool/shandong-storage-demo/knowledge/knowledge_index.md ./shared-pool/shandong-storage-demo/knowledge/shandong_storage_analysis_scope.md ./shared-pool/shandong-storage-demo/knowledge/shandong_storage_rule_brief_v1.md ./shared-pool/shandong-storage-demo/knowledge/weather_boundary_daily_2026-03-01_to_2026-03-20.csv ./shared-pool/shandong-storage-demo/REHEARSAL_GUIDE.md ./shared-pool/shandong-storage-demo/sample-data/daily_features_2026-03-01_to_2026-03-20.csv ./shared-pool/shandong-storage-demo/sample-data/market_scenarios_2026-03-01_to_2026-03-20.csv ./shared-pool/shandong-storage-demo/sample-data/ranked_demo_days_... |
| 2026-04-09 23:06 | tool_event | toolResult | tool | - | /home/cy/.openclaw/workspace/agents/analyst total 60 drwxrwx---+ 5 cy cy 4096 Apr 8 16:17 . drwxrwx---+ 6 cy cy 4096 Apr 8 11:18 .. -rw-rwxr--+ 1 cy cy 592 Apr 8 16:40 AGENTS.md -rw-rwx---+ 1 cy cy 113 Apr 7 17:51 HEARTBEAT.md -rw-rwx---+ 1 cy cy 254 Apr 7 17:51 IDENTITY.md drwxrwx---+ 2 cy cy 4096 Apr 7 17:23 memory -rw-rwx---+ 1 cy cy 65 Apr 7 17:51 MEMORY.md drwxrwx---+ 2 cy cy 4096 Apr 7 17:24 .openclaw drwxrwx---+ 3 cy cy 4096 Apr 9 22:10 output -rw-rwx---+ 1 cy cy 1316 Apr 7 17:50 README.md lrwxrwxrwx 1 cy cy 40 Apr 8 15:42 shared-pool -> /home/cy/.openclaw/workspace/shared-pool -rw-rw----+ 1 cy cy 604 Apr 9 22:47 SHARED_POOL.md -rw-rwx---+ 1 cy cy 3113 Apr 7 17:59 SOUL.md -rw-rwx--... |
| 2026-04-09 23:06 | message | assistant | - | - | [[reply_to_current]] 我先直接用本地数据做轻量筛选。预设的 Shandong 快路径文件不在当前工作区，我正在定位 shared-pool / output 里的现有样本与分析产物，然后给你可解释的排序逻辑和 Top 3 建议。 |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | (no output) |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | (no output) |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | Plan updated. |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | { "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_rank_note.md'" } |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | { "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_ranked_demo_days.csv'" } |
| 2026-04-09 23:05 | tool_event | toolResult | tool | - | { "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_constraints_summary.md'" } |
| 2026-04-09 23:05 | message | user | - | - | Sender (untrusted metadata): ```json { "label": "openclaw-control-ui", "id": "openclaw-control-ui" } ``` [Thu 2026-04-09 23:05 GMT+8] [ROLE: # Radar - The Analyst You are Radar, an AI data analyst and insights generator powered by OpenClaw. ## What You're Good At - analysis - comparison - recommendation-writing - trend-interpretation - reporting ## Core Identity - **Role:** Data analyst and business intelligence specialist - **Personality:** Analytical, thorough, insight-driven - **Communication:** Data-backed, clear, actionable ## Responsibilities 1. **Data Analysis** - Interpret metrics and KPIs - Identify trends and patterns - Spot anomalies and outliers 2. **Reporting** - Create summa... |