Point advisor workflows to signal context repository

Author: Pigbibi

.github/workflows/monthly_advisory_review.yml

@@ -23,12 +23,12 @@ on:
         default: "data/live/political_watchlist.csv"
         type: string
       ai_signal_path:
-        description: "Path inside AiLongHorizonSignalPipelines."
+        description: "Path inside ResearchSignalContextPipelines."
         required: false
         default: "data/output/latest_signal.json"
         type: string
       theme_momentum_path:
-        description: "Optional path inside AiLongHorizonSignalPipelines. Empty disables theme momentum context."
+        description: "Optional path inside ResearchSignalContextPipelines. Empty disables theme momentum context."
         required: false
         default: "data/output/theme_momentum_snapshot.json"
         type: string
@@ -48,11 +48,11 @@ jobs:
         with:
           repository: QuantStrategyLab/PoliticalEventTrackingResearch
           path: political-events
-      - name: Checkout AI shadow repository
+      - name: Checkout signal context repository
         uses: actions/checkout@v6
         with:
-          repository: QuantStrategyLab/AiLongHorizonSignalPipelines
-          path: ai-long-horizon
+          repository: QuantStrategyLab/ResearchSignalContextPipelines
+          path: research-signal-context
       - uses: actions/setup-python@v6
         with:
           python-version: "3.11"
@@ -73,15 +73,15 @@ jobs:
           AS_OF="${INPUT_AS_OF:-$(date -u +%F)}"
           mkdir -p data/output/monthly_advisory_review
           THEME_ARGS=()
-          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../ai-long-horizon/${THEME_MOMENTUM_PATH}" ]; then
-            THEME_ARGS=(--theme-momentum "../ai-long-horizon/${THEME_MOMENTUM_PATH}")
+          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../research-signal-context/${THEME_MOMENTUM_PATH}" ]; then
+            THEME_ARGS=(--theme-momentum "../research-signal-context/${THEME_MOMENTUM_PATH}")
           fi
           python scripts/build_advisory_report.py \
             --as-of "${AS_OF}" \
             --cadence monthly \
             --political-events "../political-events/${POLITICAL_EVENTS_PATH}" \
             --political-watchlist "../political-events/${POLITICAL_WATCHLIST_PATH}" \
-            --ai-signal "../ai-long-horizon/${AI_SIGNAL_PATH}" \
+            --ai-signal "../research-signal-context/${AI_SIGNAL_PATH}" \
             "${THEME_ARGS[@]}" \
             --output-json "data/output/monthly_advisory_review/advisory_report_${AS_OF}.json" \
             --output-md "data/output/monthly_advisory_review/advisory_report_${AS_OF}.md"

.github/workflows/publish_advisory_site.yml

@@ -23,12 +23,12 @@ on:
         default: "examples/political_watchlist.example.csv"
         type: string
       ai_signal_path:
-        description: "Path inside AiLongHorizonSignalPipelines."
+        description: "Path inside ResearchSignalContextPipelines."
         required: false
         default: "data/output/latest_signal.json"
         type: string
       theme_momentum_path:
-        description: "Optional path inside AiLongHorizonSignalPipelines. Empty disables theme momentum context."
+        description: "Optional path inside ResearchSignalContextPipelines. Empty disables theme momentum context."
         required: false
         default: "data/output/theme_momentum_snapshot.json"
         type: string
@@ -56,11 +56,11 @@ jobs:
         with:
           repository: QuantStrategyLab/PoliticalEventTrackingResearch
           path: political-events
-      - name: Checkout AI shadow repository
+      - name: Checkout signal context repository
         uses: actions/checkout@v6
         with:
-          repository: QuantStrategyLab/AiLongHorizonSignalPipelines
-          path: ai-long-horizon
+          repository: QuantStrategyLab/ResearchSignalContextPipelines
+          path: research-signal-context
       - uses: actions/setup-python@v6
         with:
           python-version: "3.11"
@@ -82,15 +82,15 @@ jobs:
           AS_OF="${INPUT_AS_OF:-$(date -u +%F)}"
           mkdir -p data/output/published site
           THEME_ARGS=()
-          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../ai-long-horizon/${THEME_MOMENTUM_PATH}" ]; then
-            THEME_ARGS=(--theme-momentum "../ai-long-horizon/${THEME_MOMENTUM_PATH}")
+          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../research-signal-context/${THEME_MOMENTUM_PATH}" ]; then
+            THEME_ARGS=(--theme-momentum "../research-signal-context/${THEME_MOMENTUM_PATH}")
           fi
           python scripts/build_advisory_report.py \
             --as-of "${AS_OF}" \
             --cadence weekly \
             --political-events "../political-events/${POLITICAL_EVENTS_PATH}" \
             --political-watchlist "../political-events/${POLITICAL_WATCHLIST_PATH}" \
-            --ai-signal "../ai-long-horizon/${AI_SIGNAL_PATH}" \
+            --ai-signal "../research-signal-context/${AI_SIGNAL_PATH}" \
             "${THEME_ARGS[@]}" \
             --output-json "data/output/published/advisory_report_${AS_OF}.json" \
             --output-md "data/output/published/advisory_report_${AS_OF}.md"

.github/workflows/weekly_advisory_review.yml

@@ -18,12 +18,12 @@ on:
         default: "examples/political_watchlist.example.csv"
         type: string
       ai_signal_path:
-        description: "Path inside AiLongHorizonSignalPipelines."
+        description: "Path inside ResearchSignalContextPipelines."
         required: false
         default: "data/output/latest_signal.json"
         type: string
       theme_momentum_path:
-        description: "Optional path inside AiLongHorizonSignalPipelines. Empty disables theme momentum context."
+        description: "Optional path inside ResearchSignalContextPipelines. Empty disables theme momentum context."
         required: false
         default: "data/output/theme_momentum_snapshot.json"
         type: string
@@ -43,11 +43,11 @@ jobs:
         with:
           repository: QuantStrategyLab/PoliticalEventTrackingResearch
           path: political-events
-      - name: Checkout AI shadow repository
+      - name: Checkout signal context repository
         uses: actions/checkout@v6
         with:
-          repository: QuantStrategyLab/AiLongHorizonSignalPipelines
-          path: ai-long-horizon
+          repository: QuantStrategyLab/ResearchSignalContextPipelines
+          path: research-signal-context
       - uses: actions/setup-python@v6
         with:
           python-version: "3.11"
@@ -67,15 +67,15 @@ jobs:
           AS_OF="${INPUT_AS_OF:-$(date -u +%F)}"
           mkdir -p data/output/weekly_advisory_review
           THEME_ARGS=()
-          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../ai-long-horizon/${THEME_MOMENTUM_PATH}" ]; then
-            THEME_ARGS=(--theme-momentum "../ai-long-horizon/${THEME_MOMENTUM_PATH}")
+          if [ -n "${THEME_MOMENTUM_PATH}" ] && [ -f "../research-signal-context/${THEME_MOMENTUM_PATH}" ]; then
+            THEME_ARGS=(--theme-momentum "../research-signal-context/${THEME_MOMENTUM_PATH}")
           fi
           python scripts/build_advisory_report.py \
             --as-of "${AS_OF}" \
             --cadence weekly \
             --political-events "../political-events/${POLITICAL_EVENTS_PATH}" \
             --political-watchlist "../political-events/${POLITICAL_WATCHLIST_PATH}" \
-            --ai-signal "../ai-long-horizon/${AI_SIGNAL_PATH}" \
+            --ai-signal "../research-signal-context/${AI_SIGNAL_PATH}" \
             "${THEME_ARGS[@]}" \
             --output-json "data/output/weekly_advisory_review/advisory_report_${AS_OF}.json" \
             --output-md "data/output/weekly_advisory_review/advisory_report_${AS_OF}.md"

README.md

@@ -15,7 +15,7 @@ investor.
 system:
 
 - consume political/public-event context from `PoliticalEventTrackingResearch`
-- consume saved AI shadow context from `AiLongHorizonSignalPipelines`
+- consume saved AI shadow context from `ResearchSignalContextPipelines`
 - keep other strategy and snapshot repositories independent from this pipeline
 - leave broker execution in platform repositories
 
@@ -35,10 +35,10 @@ Live site:
 Advisor is the final composition layer. Source ownership by horizon is:
 
 - Short term (`1-10 trading days`): `source_events.csv` / `political_events.csv` from `PoliticalEventTrackingResearch` for event and policy/news catalysts.
-- Medium term (`2-12 weeks`): `theme_momentum_snapshot.json` from `AiLongHorizonSignalPipelines`, now explicitly marked as `medium_horizon_theme_context`.
-- Long term (`1-3 years`): `latest_signal.json` / `signal_history/*.json` from `AiLongHorizonSignalPipelines` as AI shadow context.
+- Medium term (`2-12 weeks`): `theme_momentum_snapshot.json` from `ResearchSignalContextPipelines`, now explicitly marked as `medium_horizon_theme_context`.
+- Long term (`1-3 years`): `latest_signal.json` / `signal_history/*.json` from `ResearchSignalContextPipelines` as AI shadow context.
 
-Final recommendations are still deterministic Advisor outputs. The AI repository does not directly produce short-term recommendations or replace the final decision engine.
+Final recommendations are still deterministic Advisor outputs. The signal context repository does not directly produce short-term recommendations or replace the final decision engine.
 
 ## Boundary
 
@@ -61,9 +61,9 @@ This repository does not own:
 ## AI Usage
 
 This repository does not call Codex, OpenAI, Anthropic, or any other model API.
-It only consumes saved `mode=shadow` artifacts from `AiLongHorizonSignalPipelines`.
+It only consumes saved `mode=shadow` artifacts from `ResearchSignalContextPipelines`.
 The only repository in this three-repo flow that can involve AI is
-`AiLongHorizonSignalPipelines`, and even there provider execution is delegated to
+`ResearchSignalContextPipelines`, and even there provider execution is delegated to
 `QuantStrategyLab/CodexAuditBridge`. Model API keys and fallback routing belong
 there, not in this repository.
 
@@ -75,7 +75,7 @@ python scripts/build_advisory_report.py \
   --cadence weekly \
   --political-events examples/political_events.example.csv \
   --political-watchlist examples/political_watchlist.example.csv \
-  --ai-signal examples/ai_long_horizon_signal.example.json \
+  --ai-signal examples/research_signal_context.example.json \
   --output-json data/output/advisory_report.example.json \
   --output-md data/output/advisory_report.example.md
 ```
@@ -96,7 +96,7 @@ python scripts/build_advisory_report.py \
   --cadence weekly \
   --political-events ../PoliticalEventTrackingResearch/examples/political_events.example.csv \
   --political-watchlist ../PoliticalEventTrackingResearch/examples/political_watchlist.example.csv \
-  --ai-signal ../AiLongHorizonSignalPipelines/data/output/latest_signal.json \
+  --ai-signal ../ResearchSignalContextPipelines/data/output/latest_signal.json \
   --output-json data/output/weekly_advisory_review/advisory_report_2026-05-30.json \
   --output-md data/output/weekly_advisory_review/advisory_report_2026-05-30.md
 ```
@@ -268,7 +268,7 @@ python scripts/build_advisory_report.py \
   --cadence weekly \
   --political-events examples/political_events.example.csv \
   --political-watchlist examples/political_watchlist.example.csv \
-  --ai-signal examples/ai_long_horizon_signal.example.json \
+  --ai-signal examples/research_signal_context.example.json \
   --theme-momentum examples/theme_momentum_snapshot.example.json \
   --output-json data/output/advisory_report.example.json \
   --output-md data/output/advisory_report.example.md

README.zh-CN.md

@@ -13,7 +13,7 @@ QuantStrategyLab 的“智慧顾投”研究协调仓库。它生成非个性化
 这个仓库把事件研究和 AI shadow 产物组合成 model recommendation artifact：
 
 - `PoliticalEventTrackingResearch`：政治/公开事件事实、催化剂、来源置信度。
-- `AiLongHorizonSignalPipelines`：已保存的长周期 AI shadow context。
+- `ResearchSignalContextPipelines`：已保存的长周期 AI shadow context。
 - 其他量化策略/快照仓库：保持独立，不作为当前推荐链路的直接输入。
 - 各券商平台仓库：继续只负责执行链路；本仓库不调用它们。
 
@@ -23,10 +23,10 @@ QuantStrategyLab 的“智慧顾投”研究协调仓库。它生成非个性化
 Advisor 是最终合成层，三个周期的输入分工如下：
 
 - 短线（1-10 个交易日）：`PoliticalEventTrackingResearch` 的 `source_events.csv` / `political_events.csv`，用于事件和新闻政策催化。
-- 中线（2-12 周）：`AiLongHorizonSignalPipelines` 的 `theme_momentum_snapshot.json`，现在明确标记为 `medium_horizon_theme_context`。
-- 长线（1-3 年）：`AiLongHorizonSignalPipelines` 的 `latest_signal.json` / `signal_history/*.json`，作为 AI shadow 背景。
+- 中线（2-12 周）：`ResearchSignalContextPipelines` 的 `theme_momentum_snapshot.json`，现在明确标记为 `medium_horizon_theme_context`。
+- 长线（1-3 年）：`ResearchSignalContextPipelines` 的 `latest_signal.json` / `signal_history/*.json`，作为 AI shadow 背景。
 
-最终推荐仍由本仓库确定性合成。AI 仓库不直接输出短线推荐，也不替代本仓库的最终决策。
+最终推荐仍由本仓库确定性合成。信号上下文仓库不直接输出短线推荐，也不替代本仓库的最终决策。
 
 ## 当前 MVP
 
@@ -38,7 +38,7 @@ python scripts/build_advisory_report.py \
   --cadence weekly \
   --political-events examples/political_events.example.csv \
   --political-watchlist examples/political_watchlist.example.csv \
-  --ai-signal examples/ai_long_horizon_signal.example.json \
+  --ai-signal examples/research_signal_context.example.json \
   --output-json data/output/advisory_report.example.json \
   --output-md data/output/advisory_report.example.md
 ```
@@ -91,9 +91,9 @@ manifest 会记录 JSON/Markdown 的 SHA256、`as_of`、cadence、来源 artifac
 
 ## AI 使用边界
 
-本仓库不直接调用 Codex、OpenAI、Anthropic 或其他模型 API。它只读取 `AiLongHorizonSignalPipelines` 已保存的 `mode=shadow` artifact。
+本仓库不直接调用 Codex、OpenAI、Anthropic 或其他模型 API。它只读取 `ResearchSignalContextPipelines` 已保存的 `mode=shadow` artifact。
 
-这三个仓库里，只有 `AiLongHorizonSignalPipelines` 的月度 shadow signal 流程会涉及 AI，而且模型执行也委托给 `QuantStrategyLab/CodexAuditBridge`。模型 API key 和 fallback provider routing 都应集中在那里，不应放到本仓库。
+这三个仓库里，只有 `ResearchSignalContextPipelines` 的月度 shadow signal 流程会涉及 AI，而且模型执行也委托给 `QuantStrategyLab/CodexAuditBridge`。模型 API key 和 fallback provider routing 都应集中在那里，不应放到本仓库。
 
 ## 合规提醒
 
@@ -117,7 +117,7 @@ python -m pytest -q
 ## 周度复盘
 
 `.github/workflows/weekly_advisory_review.yml` 会 checkout 本仓库、`PoliticalEventTrackingResearch`
-和 `AiLongHorizonSignalPipelines`，生成周度 `model_recommendations` 报告并上传为 GitHub Actions artifact。
+和 `ResearchSignalContextPipelines`，生成周度 `model_recommendations` 报告并上传为 GitHub Actions artifact。
 
 它不会提交文件、不会通知投资者、不会创建订单。
 
@@ -182,7 +182,7 @@ python scripts/build_advisory_report.py \
   --cadence weekly \
   --political-events examples/political_events.example.csv \
   --political-watchlist examples/political_watchlist.example.csv \
-  --ai-signal examples/ai_long_horizon_signal.example.json \
+  --ai-signal examples/research_signal_context.example.json \
   --theme-momentum examples/theme_momentum_snapshot.example.json \
   --output-json data/output/advisory_report.example.json \
   --output-md data/output/advisory_report.example.md

docs/data_factor_roadmap.zh-CN.md

@@ -7,7 +7,7 @@
 - 可回测、可执行链路：价格、技术、动量、波动、快照和策略仓库，最后可进入券商平台。
 - 新闻、政策、公开事件、AI shadow 链路：证据不稳定、样本少、回测难，应该只进入非个性化模型推荐和复盘。
 
-因此本仓库短期只消费 `PoliticalEventTrackingResearch` 和 `AiLongHorizonSignalPipelines` 的研究产物；`UsEquitySnapshotPipelines`、`UsEquityStrategies`、`CryptoSnapshotPipelines`、`CryptoStrategies` 保持独立，只作为方法参考和未来人工复核资料来源。
+因此本仓库短期只消费 `PoliticalEventTrackingResearch` 和 `ResearchSignalContextPipelines` 的研究产物；`UsEquitySnapshotPipelines`、`UsEquityStrategies`、`CryptoSnapshotPipelines`、`CryptoStrategies` 保持独立，只作为方法参考和未来人工复核资料来源。
 
 ## 现有数据源盘点
 
@@ -35,7 +35,7 @@
 
 稳定版暂不包含 X / Truth Social / Longbridge 登录态或社区采集；这些来源只能在未来有稳定官方接口、清晰合规边界和可回放 artifact 后再评估。
 
-### AiLongHorizonSignalPipelines
+### ResearchSignalContextPipelines
 
 当前负责 AI 长周期 shadow context：
 
@@ -212,7 +212,7 @@ Crypto 可作为跨资产风险情绪参考，但暂时不应混入 US equity 
 
 ## 防过拟合主题设计
 
-长期有效的投顾研究不应该只追逐 AI 热点。建议把主题分成静态 taxonomy，并在 `AiLongHorizonSignalPipelines` 维护：
+长期有效的投顾研究不应该只追逐 AI 热点。建议把主题分成静态 taxonomy，并在 `ResearchSignalContextPipelines` 维护：
 
 ```text
 config/theme_taxonomy.csv