Install
openclaw skills install zcx-daily-market-reportGenerate automated daily market reports for Chinese futures markets. Summarize sector performance, top movers, volume/OI changes, and produce formatted end-of-day summaries for distribution or PDF conversion.
openclaw skills install zcx-daily-market-reportGenerate structured, professional daily reports covering Chinese commodity futures, financial index futures, and shipping index markets.
Use this skill when:
Use china-commodity-quotes skill to fetch all major contracts. Recommended data points per contract:
| Field | Source |
|---|---|
| Current price | Sina Finance API / browser snapshot |
| Open | Sina Finance API |
| High / Low | Sina Finance API |
| Previous settlement | Sina Finance API |
| Volume | Sina Finance API |
| Open interest | Sina Finance API |
| Change % | Calculated: (current - prev_settlement) / prev_settlement × 100 |
Primary contracts to cover:
| Sector | Contracts | Exchange |
|---|---|---|
| Financials | IF, IC, IH, IM (main month) | CFFEX |
| Metals | CU, AL, AU, AG (main month) | SHFE |
| Ferrous | I, RB, HC (main month) | DCE / SHFE |
| Energy | SC, LU (main month) | INE |
| Chemical | MA, TA, SA, EG (main month) | ZCE / DCE |
| Agricultural | C, M, Y, P, SR, CF (main month) | DCE / ZCE |
| Shipping | EC (main month) | INE |
Bulk data fetch (quick method):
curl -s -e "https://finance.sina.com.cn" "https://hq.sinajs.cn/list=IF0,IC0,IH0,IM0,CU0,AL0,AU0,AG0,I0,RB0,HC0,SC0,LU0,MA0,TA0,SA0,EG0,C0,M0,Y0,P0,SR0,CF0,EC0"
For each contract, compute:
═══════════════════════════════════════════
📰 中国期货市场日报
China Futures Daily Market Report
═══════════════════════════════════════════
📅 YYYY-MM-DD (周X)
🕐 日盘 + 夜盘收盘
───────────────────────────────────────────
━━━ 1. 市场概况 ━━━
📊 今日总览
● 跟踪品种: 40个
● 上涨品种: 25个 (62.5%) 🟢
● 下跌品种: 12个 (30.0%) 🔴
● 持平品种: 3个 (7.5%) ⚪
● 涨跌比: 2.08:1
📈 涨幅TOP5
1. EC (集运欧线) +3.85% — 即期运价反弹
2. J (焦炭) +2.50% — 焦化厂提涨
3. AG (白银) +2.30% — 外盘贵金属走强
4. CU (铜) +1.85% — LME铜库存下降
5. I (铁矿石) +1.60% — 钢厂补库
📉 跌幅TOP5
1. SA (纯碱) -3.20% — 累库压力
2. MA (甲醇) -2.40% — 港口库存偏高
3. C (玉米) -1.80% — 新粮上市预期
4. RM (菜粕) -1.50% — 需求疲弱
5. EG (乙二醇) -1.30% — 装置重启
━━━ 2. 板块表现 ━━━
🏦 金融股指 | 涨跌: +0.85% | 成交额: ¥2850亿
● IF (沪深300): +0.95% → 3840.2
● IC (中证500): +0.72% → 5620.0
● IH (上证50): +0.88% → 2550.5
● IM (中证1000): +0.65% → 6180.0
🥇 贵金属 | 涨跌: +1.85% | 成交额: ¥420亿
● AU (黄金): +1.20% → 580.30
● AG (白银): +2.30% → 7850.0
🛢️ 能源化工 | 涨跌: -0.65% | 成交额: ¥850亿
● SC (原油): -0.80% → 520.0
● MA (甲醇): -2.40% → 2450.0
● TA (PTA): -0.30% → 5820.0
● SA (纯碱): -3.20% → 1550.0
● EG (乙二醇): -1.30% → 4620.0
⚙️ 黑色系 | 涨跌: +0.75% | 成交额: ¥620亿
● I (铁矿石): +1.60% → 780.0
● RB (螺纹钢): +0.40% → 3720.0
● J (焦炭): +2.50% → 2350.0
● JM (焦煤): +1.80% → 1450.0
● HC (热卷): +0.50% → 3850.0
🌾 农产品 | 涨跌: +0.30% | 成交额: ¥380亿
● C (玉米): -1.80% → 2450.0
● M (豆粕): +0.60% → 3020.0
● Y (豆油): +0.80% → 8250.0
● P (棕榈油): +1.20% → 7650.0
● SR (白糖): -0.20% → 5950.0
● CF (棉花): -0.40% → 14200.0
🚢 航运 | 涨跌: +3.85% | 成交额: ¥95亿
● EC (集运欧线): +3.85% → 3850.0
━━━ 3. 市场异动 ⚡ ━━━
🔺 异动上涨:
● EC 集运欧线 +3.85% — 即期运价指数反弹,船公司提价
● AG 白银 +2.30% — 外盘突破,避险情绪升温
● J 焦炭 +2.50% — 焦化厂开启第二轮提涨
🔻 异动下跌:
● SA 纯碱 -3.20% — 库存连续3周累积创新高
● MA 甲醇 -2.40% — 港口到港增加
● C 玉米 -1.80% — 新粮上市预期施压
━━━ 4. 资金流向 ━━━
💰 资金流入TOP3 (持仓量增加):
1. CU铜: +12,500 手
2. IF沪深300: +8,200 手
3. SC原油: +6,500 手
💸 资金流出TOP3 (持仓量减少):
1. SA纯碱: -18,000 手
2. RB螺纹钢: -9,500 手
3. MA甲醇: -7,000 手
━━━ 5. 明日关注 ━━━
📅 重要事件:
1. 09:30 中国公布5月PMI数据
2. 20:30 美国初请失业金人数
3. LME铜库存数据更新
🔮 技术面提示:
● IF2606: MACD金叉延续,关注3850压力位
● SA2609: 超卖区域,关注1500整数关口支撑
● EC2608: 强势突破,顺势偏多
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📝 报告生成时间: YYYY-MM-DD HH:MM
⚡ 数据来源: 新浪财经 / 各交易所
scripts/report_generator.pyDaily report generation helper:
fetch_all_quotes() — Bulk fetch all major contractscalc_sector_averages(contracts) — Calculate sector-level aggregatesrank_by_change(contracts) — Top gainers/losers rankingdetect_anomalies(contracts) — Spot unusual volume/price movesgenerate_markdown_report(data) — Build the full report templateexport_pdf(markdown_path) — Convert markdown to PDF (via pandoc/weasyprint)Output as structured markdown, ready for:
.md file# Using pandoc + wkhtmltopdf
pandoc report.md -o report.pdf --pdf-engine=wkhtmltopdf
# Using python with weasyprint
python -c "
from weasyprint import HTML
HTML(string=open('report.md').read()).write_pdf('report.pdf')
"
approx for turnover: volume × price × contract_multiplier (simplified)