10 Commits
Author SHA1 Message Date
ad384e7095 政策雷达日报: 2026-09-19 — 房车消费十部门联合政策落地,城市管网77万公里量化目标确立
- 国务院办公厅转发《关于促进房车消费的若干措施》(国办函〔2026〕82号)
  十部门联合发文,房车报废年限大幅延长(租赁25年/挂车20年)
  新能源房车+营地简化审批+金融支持,消费政策向细分场景精细化
- 住建部国新办发布会: 十五五期间建设改造约77万公里城市地下管网
  排水防涝补短板+生命线安全工程,基建投资量化目标明确
- 补充: 前8月全国一般公共预算收入同比+5.7%

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-19 01:06:25 +00:00
a722b65183 政策雷达日报: 2026-09-18 — 金融十五五货币政策框架转型信号明确,中小企业回款60日硬约束落地
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-18 01:05:29 +00:00
e43a17ae13 政策雷达分析报告 2026-09-17
新增4条政策解读:智能网联新能源汽车15FYP、国常会算力网建设、
促进智能家居消费行动方案、8月国民经济运行数据。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-17 01:05:45 +00:00
b947d37180 政策雷达日报: 2026-09-16 — 金融强国十五五规划框架发布,中小企业回款治理加码
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-16 01:06:11 +00:00
5f3705ce3b 政策雷达日报: 2026-09-15 — 8月金融数据验证货币政策框架转型,住户贷款疲弱隐忧
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-15 01:10:54 +00:00
d71875a87f Add policy-analysis report for 2026-09-14
Seven policies analyzed: 十五五 financial blueprint, State Council AI computing
grid meeting, SME payment reform (60-day cap), agricultural insurance upgrade,
market regulation ordinance, futures company rules, and cross-border securities
enforcement — all within the 防风险/强监管/促高质量发展 mainline.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-14 01:05:21 +00:00
ebca0ee782 Add policy-analysis report for 2026-09-13
BRICS New Delhi Summit outcomes: Xi's speech, declaration, Xi-Modi bilateral, China 2027 chairmanship.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-13 01:06:50 +00:00
wiki-agentandClaude Opus 4.6 f06d84a003 Add 东莞法拍房 historical data: 31 sub-regions, 24,949 records (2017-2026)
Scraped all 31 Dongguan sub-regions using sortField=2 (end-time ascending)
to bypass JD's ~4000-item API cap. Merged 34 CSV files by paimaiId into
24,949 unique records covering 2017-07 to 2026-11.

Key findings:
- 上架量 grew ~50x: 98 (2017) → 4,813 (2026)
- 流拍率 peaked at 81.6% (2024), eased to 67.4% (2026)
- 樟木头: 558 records, failure rate peaked 94.2% (2024)
- 塘厦: 205 records, 2026 failure rate 51.0%

Includes: scrape_history.py, batch_scrape_towns.sh, analyze_trends.py,
yearly_stats.py, and updated SKILL.md + url_structure.md documenting
the 4000-item cap and sub-region scraping strategy.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-09-12 02:59:54 +00:00
bfbb4e6a26 Add policy-analysis report for 2026-09-12
8 policies analyzed: BRICS summit, market supervision regulation,
hidden debt accountability, agricultural insurance, futures regulation,
ST卓然 fraud case, PBC-S&P Global meeting, APEC energy outcomes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-12 01:08:31 +00:00
liam 1538dac595 Move policy-analysis reports to output/ subdirectory 2026-09-11 12:47:13 +08:00