diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index 5860948..2bbf4fc 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -5,8 +5,16 @@ updates:
   schedule:
     interval: "weekly"
   open-pull-requests-limit: 5
+  ignore:
+  - dependency-name: "*"
+    update-types:
+    - "version-update:semver-major"
 - package-ecosystem: "github-actions"
   directory: "/"
   schedule:
     interval: "weekly"
   open-pull-requests-limit: 5
+  ignore:
+  - dependency-name: "*"
+    update-types:
+    - "version-update:semver-major"
diff --git a/.github/workflows/dependabot_auto_merge.yml b/.github/workflows/dependabot_auto_merge.yml
new file mode 100644
index 0000000..1a3e24b
--- /dev/null
+++ b/.github/workflows/dependabot_auto_merge.yml
@@ -0,0 +1,71 @@
+name: Auto Merge Dependabot PR
+
+"on":
+  workflow_run:
+    workflows: ["CI"]
+    types: [completed]
+
+jobs:
+  auto-merge:
+    if: github.event.workflow_run.conclusion == 'success' && startsWith(github.event.workflow_run.head_branch, 'dependabot/')
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+
+    steps:
+      - name: Resolve Dependabot PR
+        id: pr
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          BRANCH_NAME="${{ github.event.workflow_run.head_branch }}"
+          PR_NUMBER=$(gh pr list --state open --head "${BRANCH_NAME}" --json number --jq '.[0].number // empty')
+          if [ -z "${PR_NUMBER}" ]; then
+            echo "No open Dependabot PR found for ${BRANCH_NAME}." >> "$GITHUB_STEP_SUMMARY"
+            exit 0
+          fi
+          echo "pr_number=${PR_NUMBER}" >> "$GITHUB_OUTPUT"
+
+      - name: Evaluate merge eligibility
+        id: merge_guard
+        if: steps.pr.outputs.pr_number != ''
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          gh pr view "${{ steps.pr.outputs.pr_number }}" --json number,isDraft,author,url,labels > pr.json
+          python3 - <<'PY'
+          import json
+          import os
+          from pathlib import Path
+
+          pr = json.loads(Path("pr.json").read_text(encoding="utf-8"))
+          author = (pr.get("author") or {}).get("login")
+          labels = {item.get("name", "") for item in pr.get("labels", [])}
+          should_merge = author == "dependabot[bot]" and not pr.get("isDraft")
+          reason = "ready" if should_merge else "not_dependabot_or_draft"
+
+          summary_lines = [
+              "## Auto-Merge Gate",
+              f"- PR: {pr['url']}",
+              f"- Author: `{author or '<unknown>'}`",
+              f"- Draft: `{ 'yes' if pr.get('isDraft') else 'no' }`",
+              f"- Dependabot label: `{ 'yes' if 'dependencies' in labels else 'no' }`",
+              f"- Final merge decision: `{ 'merge' if should_merge else 'skip' }`",
+              f"- Reason: `{reason}`",
+          ]
+          Path("pr-summary.md").write_text("\n".join(summary_lines).strip() + "\n", encoding="utf-8")
+          with open(os.environ["GITHUB_OUTPUT"], "a", encoding="utf-8") as output:
+              print(f"should_merge={'true' if should_merge else 'false'}", file=output)
+              print(f"reason={reason}", file=output)
+          PY
+
+      - name: Append merge summary
+        if: steps.pr.outputs.pr_number != ''
+        run: cat pr-summary.md >> "$GITHUB_STEP_SUMMARY"
+
+      - name: Merge Dependabot PR
+        if: steps.merge_guard.outputs.should_merge == 'true'
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: gh pr merge "${{ steps.pr.outputs.pr_number }}" --rebase --delete-branch
diff --git a/docs/us_equity_strategy_status.zh-CN.md b/docs/us_equity_strategy_status.zh-CN.md
index ee1ceba..ca9af97 100644
--- a/docs/us_equity_strategy_status.zh-CN.md
+++ b/docs/us_equity_strategy_status.zh-CN.md
@@ -29,7 +29,7 @@ _更新日期：2026-05-08_
 | --- | --- |
 | `mega_cap_leader_rotation_dynamic_top20` | 同期 CAGR 21.51%、最大回撤 -23.14%；收益明显弱于 `mega_cap_leader_rotation_top50_balanced` 的 36.41%。 |
 | `mega_cap_leader_rotation_aggressive` | Top50 top3/cap35 CAGR 32.42%、最大回撤 -28.64%；仍弱于 Top50 balanced，且更集中。 |
-| `dynamic_mega_leveraged_pullback` | CAGR 30.96%、最大回撤 -34.80%；2x 产品和 MAGS/TACO 路线更复杂，未优于当前保留路线。 |
+| `dynamic_mega_leveraged_pullback` | CAGR 30.96%、最大回撤 -34.80%；2x 产品和事件反弹路线更复杂，未优于当前保留路线。 |
 
 历史研究输出可以继续作为离线证据查看，但这些名字不再是有效 `STRATEGY_PROFILE`，也不再保留平台 replay adapter。
 
@@ -46,7 +46,7 @@ _更新日期：2026-05-08_
 | Top50 `blend_top2_50_top4_50`，21 日 universe lag | 2017-10-02 至 2026-04-16 | 36.41% | -30.56% | 当前最强无杠杆候选之一；回撤可接受但 Top2 袖子带来集中风险，需要 paper 观察。 | `UsEquitySnapshotPipelines/data/output/mega_cap_leader_rotation_dynamic_top50_concentration_variants/concentration_variant_summary.csv` |
 | Top50 `top2_cap50_no_defense`，21 日 universe lag | 2017-10-02 至 2026-04-16 | 39.83% | -38.79% | 收益最高但两只股票 50/50 太集中，只作为 aggressive research 证据，不作为默认。 | `UsEquitySnapshotPipelines/docs/mega-cap-leader-rotation-dynamic-validation.md` |
 | `global_etf_confidence_vol_gate` production-like 研究 | 2015-01-05 至 2026-05-06 | 14.77% | -23.35% | 相比同口径 Top2/SMA250 的 13.60% CAGR、-23.35% 回撤，收益和 Sharpe 改善；仍未跑赢 QQQ 长期 CAGR，因此只作为 Global ETF 自身增强候选。 | [`docs/research/global_etf_confidence_vol_gate.md`](./research/global_etf_confidence_vol_gate.md) |
-| Crisis unified response historical research，含旧 5% TACO 袖子 | 1999-03-10 至 2026-04-16 | 23.89% | -56.04% | 相比合成 TQQQ 基线显著降低 2000/2008 级别灾难回撤；但该历史版本包含 TACO，不等于当前 defense-only shadow plugin。 | `UsEquitySnapshotPipelines/data/output/crisis_response_audit_trial/external_fragility10_severe10_fin_credit/summary.csv` |
+| Crisis unified response historical research，含旧 5% 反弹袖子 | 1999-03-10 至 2026-04-16 | 23.89% | -56.04% | 相比合成 TQQQ 基线显著降低 2000/2008 级别灾难回撤；但该历史版本包含旧反弹袖子，不等于当前 defense-only shadow plugin。 | `UsEquitySnapshotPipelines/data/output/crisis_response_audit_trial/external_fragility10_severe10_fin_credit/summary.csv` |
 
 暂时没有写进正式表的内容：
 
@@ -57,7 +57,7 @@ _更新日期：2026-05-08_
 | 研究方向 | 当前状态 | 不直接实盘的原因 |
 | --- | --- | --- |
 | `crisis_response_shadow` 插件 | 可作为 `tqqq_growth_income` 的 `shadow` 插件候选，只写信号、日志和通知上下文。 | 现在是 defense-only 黑天鹅观察流，不下单、不改 allocation；需要稳定 shadow 日志后再做 evidence review。 |
-| TACO rebound / MAGS 路线 | 保持 research-only，不作为运行策略 profile。 | 对 MAGS 的正贡献不稳定，且事件反弹预算不应该混进黑天鹅逃命插件。 |
+| 事件反弹 / MAGS 路线 | 保持 research-only，不作为运行策略 profile。 | 对 MAGS 的正贡献不稳定，且事件反弹预算不应该混进黑天鹅逃命插件。 |
 | AI 审计 / AI 上下文 | 不进入交易路径。 | 回测结果来自确定性指标，不依赖 AI；AI 可以辅助离线 review、总结新闻或检查文档，但不能作为自动买卖开关。 |
 | Russell 1000 代理长周期回测 | 研究待补。 | 2017 年前缺少可靠 point-in-time Russell 1000 / Top50 数据，需要代理构造并明确后视偏差。 |
 | Top50 balanced paper 观察 | 当前保留候选。 | 历史结果强，且无杠杆，但 Top2 袖子仍有集中风险；要确认 snapshot、整数股、换手和通知稳定。 |