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innovate-poc

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Atualizado28 de fevereiro de 2026 às 03:32

創新 Phase 3：POC 原型實作。產出可執行的 proof-of-concept 程式碼。Use when 'build POC', 'prototype', '做原型', 'proof of concept'.

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danny0926

danny0926/NLP-data-for-trading

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

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name	innovate-poc
description	創新 Phase 3：POC 原型實作。產出可執行的 proof-of-concept 程式碼。Use when 'build POC', 'prototype', '做原型', 'proof of concept'.
agent	general-purpose
allowed-tools	Read, Glob, Grep, Bash, Edit, Write, Task

/innovate-poc — POC 原型實作

讀 docs/innovation_state.json 取得掃描和映射結果，自主建立 POC。

POC 原則

最小可行 — 只實作核心邏輯
可測量 — 必須產出可比較的數字（CAR, hit rate, alpha vs SPY）
可重現 — 記錄所有參數和資料版本
Anti look-ahead bias — 使用 filing_date, benchmark=SPY

Step 1: 建立 POC 目錄

poc/
└── YYYY-MM-DD-<topic>/
    ├── README.md          # 說明與結論
    ├── poc_<topic>.py     # 主程式
    ├── requirements.txt   # 額外依賴（如有）
    └── results/           # 輸出結果

Step 2: 寫 POC 程式碼

"""
POC: [Topic]
Date: [YYYY-MM-DD]
Author: PAM Innovation Engine

Hypothesis: [一句話]
Expected: [預期結果]
Anti look-ahead bias: [如何確保]
"""
import sqlite3
import pandas as pd
from src.config import DB_PATH

# ===== CONFIG =====
TOPIC = "[topic]"
DB = DB_PATH
BENCHMARK = "SPY"
EVENT_DATE_COL = "filing_date"  # 必須用 filing_date

# ===== DATA =====
conn = sqlite3.connect(DB)
trades = pd.read_sql("SELECT * FROM congress_trades WHERE ticker IS NOT NULL", conn)

# ===== IMPLEMENTATION =====
# ... minimal core logic ...

# ===== EVALUATION =====
# Must output: CAR_5d, CAR_20d, hit_rate, sample_size, p_value
# Compare with baseline: RB-001 Buy CAR_5d = +0.77%

Step 3: 執行測試

# 確保不破壞現有測試
pytest tests/ -v

# 執行 POC
cd poc/YYYY-MM-DD-<topic>/
python poc_<topic>.py

Step 4: 記錄結果

寫 poc/YYYY-MM-DD-<topic>/README.md：

# POC: [Topic]

## Hypothesis
[一句話]

## Setup
- Data: congress_trades from data/data.db
- Period: [start] to [end]
- Sample: [N] trades
- Benchmark: SPY

## Results
| Metric | Value | vs Baseline |
|--------|-------|-------------|
| CAR_5d | X.XX% | [+/-] vs RB-001 0.77% |
| CAR_20d | X.XX% | [+/-] vs RB-001 0.79% |
| Hit Rate | X% | [+/-] vs 55% baseline |
| p-value | X.XXX | [sig/not sig] |

## Conclusion
[2-3 句]

## Bias Compliance
- [x] Event date = filing_date
- [x] Benchmark = SPY
- [x] No future information used
- [x] Sample size >= 30

Step 5: 輸出

更新 docs/innovation_state.json 的 poc phase 為 done。

## POC Report: [Topic]

- Directory: `poc/YYYY-MM-DD-<topic>/`
- Key metric: [CAR/hit_rate/etc.] = [value]
- Baseline comparison: [+/- delta vs RB-001]

### Next: `/innovate-verdict`

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/innovate-poc — POC 原型實作

讀 docs/innovation_state.json 取得掃描和映射結果，自主建立 POC。

POC 原則

最小可行 — 只實作核心邏輯

可測量 — 必須產出可比較的數字（CAR, hit rate, alpha vs SPY）

可重現 — 記錄所有參數和資料版本

Anti look-ahead bias — 使用 filing_date, benchmark=SPY

Step 1: 建立 POC 目錄

poc/ └── YYYY-MM-DD-<topic>/ ├── README.md # 說明與結論 ├── poc_<topic>.py # 主程式 ├── requirements.txt # 額外依賴（如有） └── results/ # 輸出結果

Step 2: 寫 POC 程式碼

""" POC: [Topic] Date: [YYYY-MM-DD] Author: PAM Innovation Engine Hypothesis: [一句話] Expected: [預期結果] Anti look-ahead bias: [如何確保] """ import sqlite3 import pandas as pd from src.config import DB_PATH # ===== CONFIG ===== TOPIC = "[topic]" DB = DB_PATH BENCHMARK = "SPY" EVENT_DATE_COL = "filing_date" # 必須用 filing_date # ===== DATA ===== conn = sqlite3.connect(DB) trades = pd.read_sql("SELECT * FROM congress_trades WHERE ticker IS NOT NULL", conn) # ===== IMPLEMENTATION ===== # ... minimal core logic ... # ===== EVALUATION ===== # Must output: CAR_5d, CAR_20d, hit_rate, sample_size, p_value # Compare with baseline: RB-001 Buy CAR_5d = +0.77%

Step 3: 執行測試

# 確保不破壞現有測試 pytest tests/ -v # 執行 POC cd poc/YYYY-MM-DD-<topic>/ python poc_<topic>.py

Step 4: 記錄結果

寫 poc/YYYY-MM-DD-<topic>/README.md：

# POC: [Topic] ## Hypothesis [一句話] ## Setup - Data: congress_trades from data/data.db - Period: [start] to [end] - Sample: [N] trades - Benchmark: SPY ## Results | Metric | Value | vs Baseline | |--------|-------|-------------| | CAR_5d | X.XX% | [+/-] vs RB-001 0.77% | | CAR_20d | X.XX% | [+/-] vs RB-001 0.79% | | Hit Rate | X% | [+/-] vs 55% baseline | | p-value | X.XXX | [sig/not sig] | ## Conclusion [2-3 句] ## Bias Compliance - [x] Event date = filing_date - [x] Benchmark = SPY - [x] No future information used - [x] Sample size >= 30

Step 5: 輸出

更新 docs/innovation_state.json 的 poc phase 為 done。

## POC Report: [Topic] - Directory: `poc/YYYY-MM-DD-<topic>/` - Key metric: [CAR/hit_rate/etc.] = [value] - Baseline comparison: [+/- delta vs RB-001] ### Next: `/innovate-verdict`