2026-08-05 14:18:02 -05:00
29 changed files with 613 additions and 747 deletions
@@ -1,204 +1,67 @@
-# POTE – Public Officials Trading Explorer
+# POTE (Public Officials Trading Explorer)

-**Research-only tool for tracking and analyzing public stock trades by government officials.**
+Research tool for tracking publicly disclosed stock trades by government
+officials (starting with U.S. Congress). Computes descriptive metrics and
+risk/ethics flags from lawfully available public data.

-⚠️ **Important**: This project is for personal research and transparency analysis only. It is **NOT** for investment advice or live trading.
+Not investment advice. Not for live trading. Public disclosures only; data
+may be delayed or incomplete. No claims about inside information.

-## What is this?
-
-POTE tracks stock trading activity of government officials (starting with U.S. Congress) using lawfully available public data sources. It computes research metrics, descriptive signals, and risk/ethics flags to help understand trading patterns.
-
-## Key constraints
-
- **Public data only**: House Stock Watcher (free!), yfinance (free!), QuiverQuant/FMP (optional)
- **Research framing**: All outputs are descriptive analytics, not trading recommendations
- **No inside information claims**: We use public disclosures that may be delayed or incomplete
-
-## Current Status
-
-✅ **PR1 Complete**: Project scaffold, DB models, price loader  
-✅ **PR2 Complete**: Congressional trade ingestion (House Stock Watcher)  
-✅ **PR3 Complete**: Security enrichment + deployment infrastructure  
-✅ **PR4 Complete**: Phase 2 analytics - returns, benchmarks, performance metrics  
-**45+ passing tests, 88%+ coverage**
+Status: active. Homelab LXC deploy documented under `docs/`.

 ## Quick start

-**🚀 Already deployed?** See **[QUICKSTART.md](docs/QUICKSTART.md)** for full usage guide!
-
-**📦 Deploying?** See **[PROXMOX_QUICKSTART.md](docs/PROXMOX_QUICKSTART.md)** for Proxmox LXC deployment (recommended).
-
-**📧 Want automated reports?** See **[AUTOMATION_QUICKSTART.md](docs/AUTOMATION_QUICKSTART.md)** for email reporting setup!
-
-**🏠 Homelab deploy (LXC 236)?** See **[docs/HANDOFF-2026-05-27.md](docs/HANDOFF-2026-05-27.md)** for ops handoff and next steps.
-
-### Local Development
 ```bash
-# Install
-git clone <your-repo>
-cd pote
+git clone <repository-url>
+cd pote   # or POTE
 make install
 source venv/bin/activate
-
-# Run migrations
 make migrate
+python scripts/ingest_from_fixtures.py   # offline sample
+make test
+```

-# Ingest sample data (offline, for testing)
-python scripts/ingest_from_fixtures.py
+With network:

-# Enrich securities with company info
-python scripts/enrich_securities.py
-
-# With internet:
+```bash
 python scripts/fetch_congressional_trades.py
 python scripts/fetch_sample_prices.py
-
-# Run tests
-make test
-
-# Lint & format
-make lint format
 ```

-### Production Deployment
+Deploy: `bash scripts/proxmox_setup.sh` or `docker-compose up -d`.
+Ops handoff: [docs/HANDOFF-2026-05-27.md](docs/HANDOFF-2026-05-27.md).
+
+## Useful commands
+
 ```bash
-# Proxmox LXC (Recommended - 5 minutes)
-bash scripts/proxmox_setup.sh
-
-# Docker
-docker-compose up -d
-```
-
-## Tech stack
-
- **Language**: Python 3.10+
- **Database**: PostgreSQL or SQLite (dev)
- **Data**: House Stock Watcher (free!), yfinance (free!), QuiverQuant/FMP (optional)
- **Libraries**: SQLAlchemy, Alembic, pandas, numpy, httpx, yfinance, scikit-learn
- **Testing**: pytest (28 tests, 87%+ coverage)
-
-## Documentation
-
-**Getting Started**:
- [`README.md`](README.md) – This file
- [`QUICKSTART.md`](docs/QUICKSTART.md) – ⭐ **How to use your deployed POTE instance**
- [`STATUS.md`](docs/STATUS.md) – Current project status
- [`FREE_TESTING_QUICKSTART.md`](docs/FREE_TESTING_QUICKSTART.md) – Test for $0
- [`OFFLINE_DEMO.md`](docs/OFFLINE_DEMO.md) – Works without internet!
-
-**Deployment**:
- [`PROXMOX_QUICKSTART.md`](docs/PROXMOX_QUICKSTART.md) – ⭐ **Proxmox quick deployment (5 min)**
- [`AUTOMATION_QUICKSTART.md`](docs/AUTOMATION_QUICKSTART.md) – ⭐ **Automated reporting setup (5 min)**
- [`docs/07_deployment.md`](docs/07_deployment.md) – Full deployment guide (all platforms)
- [`docs/08_proxmox_deployment.md`](docs/08_proxmox_deployment.md) – Proxmox detailed guide
- [`docs/12_automation_and_reporting.md`](docs/12_automation_and_reporting.md) – Automation & CI/CD guide
- [`Dockerfile`](Dockerfile) + [`docker-compose.yml`](docker-compose.yml) – Docker setup
-
-**Technical**:
- [`docs/00_mvp.md`](docs/00_mvp.md) – MVP roadmap
- [`docs/01_architecture.md`](docs/01_architecture.md) – Architecture
- [`docs/02_data_model.md`](docs/02_data_model.md) – Database schema
- [`docs/03_data_sources.md`](docs/03_data_sources.md) – Data sources
- [`docs/04_safety_ethics.md`](docs/04_safety_ethics.md) – Research-only guardrails
- [`docs/05_dev_setup.md`](docs/05_dev_setup.md) – Dev conventions
- [`docs/06_free_testing_data.md`](docs/06_free_testing_data.md) – Testing strategies
-
-**PR Summaries**:
- [`docs/PR1_SUMMARY.md`](docs/PR1_SUMMARY.md) – Scaffold + price loader
- [`docs/PR2_SUMMARY.md`](docs/PR2_SUMMARY.md) – Congressional trades
- [`docs/PR3_SUMMARY.md`](docs/PR3_SUMMARY.md) – Enrichment + deployment
- [`docs/PR4_SUMMARY.md`](docs/PR4_SUMMARY.md) – ⭐ **Analytics foundation (returns, benchmarks, metrics)**
-
-## What's Working Now
-
- ✅ SQLAlchemy models for officials, securities, trades, prices
- ✅ Alembic migrations
- ✅ Price loader with yfinance (idempotent, upsert)
- ✅ Congressional trade ingestion from House Stock Watcher (FREE!)
- ✅ Security enrichment (company names, sectors, industries)
- ✅ ETL to populate officials & trades tables
- ✅ Docker + deployment infrastructure
- ✅ 93 passing tests with 88%+ coverage
- ✅ Linting (ruff + mypy) all green
- ✅ Works 100% offline with fixtures
- ✅ Real-time market monitoring & alert system
- ✅ Disclosure timing correlation engine
- ✅ Pattern detection & comparative analysis
- ✅ Automated email reporting (daily/weekly)
- ✅ CI/CD pipeline (GitHub/Gitea Actions)
-
-## What You Can Do Now
-
-### Analyze Performance
-```bash
-# Analyze specific official
 python scripts/analyze_official.py "Nancy Pelosi" --window 90
-
-# System-wide analysis
 python scripts/calculate_all_returns.py
-```
-
-### Market Monitoring
-```bash
-# Run market scan
 python scripts/monitor_market.py --scan
-
-# Analyze timing of recent disclosures
-python scripts/analyze_disclosure_timing.py --recent 7
-
-# Generate pattern report
-python scripts/generate_pattern_report.py --days 365
-```
-
-### Automated Reporting
-```bash
-# Set up daily/weekly email reports (5 minutes!)
-./scripts/setup_cron.sh
-
-# Send manual report
 python scripts/send_daily_report.py --to your@email.com
 ```

-### Add More Data
-```bash
-# Manual entry
-python scripts/add_custom_trades.py
+## Stack

-# CSV import
-python scripts/scrape_alternative_sources.py import trades.csv
-```
+Python 3.10+, SQLAlchemy, Alembic, pandas/numpy, httpx, yfinance.
+PostgreSQL or SQLite for local. pytest + ruff + mypy.

-## System Architecture
+Data sources: House Stock Watcher, yfinance; QuiverQuant/FMP optional.

-POTE now includes a complete 3-phase monitoring system:
+## Docs

-**Phase 1: Real-Time Market Monitoring**
- Tracks ~50 most-traded congressional stocks
- Detects unusual volume, price spikes, volatility
- Logs all alerts with timestamps and severity
+| Doc | Purpose |
+|-----|---------|
+| [docs/QUICKSTART.md](docs/QUICKSTART.md) | Using a deployed instance |
+| [docs/PROXMOX_QUICKSTART.md](docs/PROXMOX_QUICKSTART.md) | Proxmox LXC |
+| [docs/AUTOMATION_QUICKSTART.md](docs/AUTOMATION_QUICKSTART.md) | Email reports |
+| [docs/01_architecture.md](docs/01_architecture.md) | Architecture |
+| [docs/02_data_model.md](docs/02_data_model.md) | Schema |
+| [docs/04_safety_ethics.md](docs/04_safety_ethics.md) | Research guardrails |
+| [docs/07_deployment.md](docs/07_deployment.md) | Full deploy |
+| [docs/00_mvp.md](docs/00_mvp.md) | Roadmap |

-**Phase 2: Disclosure Correlation**
- Matches trades with prior market alerts (30-45 day lookback)
- Calculates "timing advantage score" (0-100)
- Identifies suspicious timing patterns
+PR writeups live under `docs/archive/` when moved.

-**Phase 3: Pattern Detection**
- Ranks officials by consistent suspicious timing
- Analyzes by ticker, sector, and political party
- Generates comprehensive reports
+## License

-**Full Documentation**: See [`MONITORING_SYSTEM_COMPLETE.md`](docs/MONITORING_SYSTEM_COMPLETE.md)
-
-## Next Steps
-
- [ ] Signals: "follow_research", "avoid_risk", "watch" with confidence scores
- [ ] Clustering: group officials by trading behavior patterns
- [ ] API: FastAPI backend for queries
- [ ] Dashboard: React/Streamlit visualization
-
-See [`docs/00_mvp.md`](docs/00_mvp.md) for the full roadmap.
-
---
-
-**License**: MIT (for research/educational use only)  
-**Disclaimer**: Not investment advice. Use public data only. No claims about inside information.
+MIT for research/educational use. Not investment advice.
@@ -6,7 +6,7 @@ Great question! Here are multiple strategies for testing the full pipeline **wit

 ---

-## Strategy 1: Mock/Fixture Data (Current Approach ✅)
+## Strategy 1: Mock/Fixture Data (Current Approach )

 **What we already have:**
 - `tests/conftest.py` creates in-memory SQLite DB with sample officials, securities, trades
@@ -99,7 +99,7 @@ def test_etl_with_real_data():

 ---

-## Strategy 4: Hybrid Testing (Recommended 🌟)
+## Strategy 4: Hybrid Testing (Recommended )

 **Combine all strategies**:

@@ -164,7 +164,7 @@ def test_etl_with_real_data():

 | Source | Free Tier | Paid Tier | Best For |
 |--------|-----------|-----------|----------|
-| **yfinance** | Unlimited | N/A | Prices (already working ✅) |
+| **yfinance** | Unlimited | N/A | Prices (already working ) |
 | **House Stock Watcher** | Unlimited scraping | N/A | Free trades (best option) |
 | **Quiver Free** | 500 calls/mo | $30/mo (5k calls) | Testing, not production |
 | **FMP Free** | 250 calls/day | $15/mo | Alternative for trades |
@@ -222,5 +222,5 @@ class HouseWatcherClient:
        }
 ```

-Let me know if you want me to implement this scraper now for PR2! 🚀
+Let me know if you want me to implement this scraper now for PR2! 

@@ -4,14 +4,14 @@

 POTE can be deployed in several ways depending on your needs:

-1. **Local Development** (SQLite) - What you have now ✅
+1. **Local Development** (SQLite) - What you have now 
 2. **Single Server** (PostgreSQL + cron jobs)
 3. **Docker** (Containerized, easy to move)
 4. **Cloud** (AWS/GCP/Azure with managed DB)

 ---

-## Option 1: Local Development (Current Setup) ✅
+## Option 1: Local Development (Current Setup)

 **You're already running this!**

@@ -2,17 +2,17 @@

 ## Why Proxmox is Perfect for POTE

-✅ **Full control** - Your hardware, your rules  
-✅ **No monthly costs** - Just electricity  
-✅ **Isolated VMs/LXC** - Clean environments  
-✅ **Snapshots** - Easy rollback if needed  
-✅ **Resource efficient** - Run alongside other services  
+ **Full control** - Your hardware, your rules 
+ **No monthly costs** - Just electricity 
+ **Isolated VMs/LXC** - Clean environments 
+ **Snapshots** - Easy rollback if needed 
+ **Resource efficient** - Run alongside other services 

 ---

 ## Deployment Options on Proxmox

-### Option 1: LXC Container (Recommended) ⭐
+### Option 1: LXC Container (Recommended)

 **Pros**: Lightweight, fast, efficient resource usage  
 **Cons**: Linux only (fine for POTE)
@@ -501,14 +501,14 @@ vs.

 ## Next Steps

-1. ✅ Create LXC container
-2. ✅ Install dependencies
-3. ✅ Setup PostgreSQL
-4. ✅ Deploy POTE
-5. ✅ Configure cron jobs
-6. ✅ Setup backups
-7. ⏭️ Build Phase 2 (Analytics)
-8. ⏭️ Add FastAPI dashboard (optional)
+1. Create LXC container
+2. Install dependencies
+3. Setup PostgreSQL
+4. Deploy POTE
+5. Configure cron jobs
+6. Setup backups
+7. ⏭ Build Phase 2 (Analytics)
+8. ⏭ Add FastAPI dashboard (optional)

 ---

@@ -583,7 +583,7 @@ EOF
 sudo -u poteapp mkdir -p /home/poteapp/logs

 echo ""
-echo "✅ Setup complete!"
+echo " Setup complete!"
 echo ""
 echo "Next steps:"
 echo "1. su - poteapp"
@@ -600,5 +600,5 @@ chmod +x proxmox_setup.sh

 ---

-**Your Proxmox setup gives you enterprise-grade infrastructure at hobby costs!** 🚀
+**Your Proxmox setup gives you enterprise-grade infrastructure at hobby costs!** 

@@ -137,13 +137,13 @@ python scripts/fetch_sample_prices.py
 ## Data Sources

 ### Currently Working:
- ✅ yfinance (prices, company info)
- ✅ Manual entry
- ✅ CSV import
- ✅ Fixture files (testing)
+- yfinance (prices, company info)
+- Manual entry
+- CSV import
+- Fixture files (testing)

 ### Currently Down:
- ❌ House Stock Watcher API (domain issues)
+- House Stock Watcher API (domain issues)

 ### Future Options:
 - QuiverQuant (requires $30/month subscription)
@@ -8,10 +8,10 @@
 ### **Reality Check: No Real-Time Data Exists**

 **Federal Law (STOCK Act):**
- 📅 Congress members have **30-45 days** to disclose trades
- 📅 Disclosures are filed as **Periodic Transaction Reports (PTRs)**
- 📅 Public databases update **after** filing (usually next day)
- 📅 **No real-time feed exists by design**
+- Congress members have **30-45 days** to disclose trades
+- Disclosures are filed as **Periodic Transaction Reports (PTRs)**
+- Public databases update **after** filing (usually next day)
+- **No real-time feed exists by design**

 **Example Timeline:**
 ```
@@ -25,15 +25,15 @@ Feb 17, 2024  →  Your system fetches it

 Since trades appear in batches (not continuously), **running once per day is optimal**:

-✅ **Daily (7 AM)** - Catches overnight filings  
-✅ **After market close** - Prices are final  
-✅ **Low server load** - Off-peak hours  
-❌ **Hourly** - Wasteful, no new data  
-❌ **Real-time** - Impossible, not how disclosures work  
+ **Daily (7 AM)** - Catches overnight filings 
+ **After market close** - Prices are final 
+ **Low server load** - Off-peak hours 
+ **Hourly** - Wasteful, no new data 
+ **Real-time** - Impossible, not how disclosures work 

 ---

-## 🤖 Automated Setup Options
+## Automated Setup Options

 ### **Option 1: Cron Job (Linux/Proxmox) - Recommended**

@@ -149,7 +149,7 @@ Or from anywhere:

 ---

-## 📊 What Gets Updated?
+## What Gets Updated?

 ### **1. Congressional Trades**
 **Script:** `fetch_congressional_trades.py`  
@@ -182,7 +182,7 @@ Or from anywhere:

 ---

-## ⚙️ Customizing the Schedule
+## Customizing the Schedule

 ### **Different Frequencies**

@@ -215,7 +215,7 @@ Or from anywhere:

 ---

-## 📧 Email Notifications (Optional)
+## Email Notifications (Optional)

 ### **Setup Email Alerts**

@@ -310,7 +310,7 @@ python scripts/email_summary.py

 ---

-## 🔍 Monitoring & Logging
+## Monitoring & Logging

 ### **Check Cron Job Status**

@@ -355,7 +355,7 @@ Add to `/etc/logrotate.d/pote`:

 ---

-## 🚨 Handling Failures
+## Handling Failures

 ### **What If House Stock Watcher Is Down?**

@@ -363,7 +363,7 @@ The script is designed to continue even if one step fails:

 ```bash
 # Script continues and logs warnings
-⚠️  WARNING: Failed to fetch congressional trades
+ WARNING: Failed to fetch congressional trades
   This is likely because House Stock Watcher API is down
   Continuing with other steps...
 ```
@@ -399,7 +399,7 @@ for attempt in range(MAX_RETRIES):

 ---

-## 📈 Performance Optimization
+## Performance Optimization

 ### **Batch Processing**

@@ -439,7 +439,7 @@ CREATE INDEX IF NOT EXISTS ix_prices_security_id ON prices(security_id);

 ---

-## 🎯 Recommended Setup
+## Recommended Setup

 ### **For Proxmox Production:**

@@ -475,7 +475,7 @@ pote-update

 ---

-## 📝 Summary
+## Summary

 ### **Key Points:**

@@ -1,13 +1,13 @@
 # Live Market Monitoring + Congressional Trading Analysis

-## 🎯 What's Possible vs Impossible
+## What's Possible vs Impossible

-### ❌ **NOT Possible:**
+### **NOT Possible:**
 - Identify WHO is buying/selling in real-time
 - Match live trades to specific Congress members
 - See congressional trades before they're disclosed

-### ✅ **IS Possible:**
+### **IS Possible:**
 - Track unusual market activity in real-time
 - Monitor stocks Congress members historically trade
 - Compare unusual activity to later disclosures
@@ -15,7 +15,7 @@

 ---

-## 🔄 **Two-Phase Monitoring System**
+## **Two-Phase Monitoring System**

 ### **Phase 1: Real-Time Market Monitoring**
 Monitor unusual activity in stocks Congress trades:
@@ -33,7 +33,7 @@ When disclosures come in:

 ---

-## 📊 **Implementation: Watchlist-Based Monitoring**
+## **Implementation: Watchlist-Based Monitoring**

 ### **Concept:**

@@ -57,38 +57,38 @@ Step 3: When Disclosure Appears (30-45 days later)

 ---

-## 🛠️ **Data Sources for Live Market Monitoring**
+## **Data Sources for Live Market Monitoring**

 ### **Free/Low-Cost Options:**

 1. **Yahoo Finance (yfinance)**
-   - ✅ Real-time quotes (15-min delay free)
-   - ✅ Historical options data
-   - ✅ Volume data
-   - ❌ Not true real-time for options flow
+   - Real-time quotes (15-min delay free)
+   - Historical options data
+   - Volume data
+   - Not true real-time for options flow

 2. **Unusual Whales API**
-   - ✅ Options flow data
-   - ✅ Unusual activity alerts
-   - 💰 Paid ($50-200/month)
+   - Options flow data
+   - Unusual activity alerts
+   - Paid ($50-200/month)
   - https://unusualwhales.com/

 3. **Tradier API**
-   - ✅ Real-time market data
-   - ✅ Options chains
-   - 💰 Paid but affordable ($10-50/month)
+   - Real-time market data
+   - Options chains
+   - Paid but affordable ($10-50/month)
   - https://tradier.com/

 4. **FlowAlgo**
-   - ✅ Options flow tracking
-   - ✅ Dark pool data
-   - 💰 Paid ($99-399/month)
+   - Options flow tracking
+   - Dark pool data
+   - Paid ($99-399/month)
   - https://www.flowalgo.com/

 5. **Polygon.io**
-   - ✅ Real-time stock data
-   - ✅ Options data
-   - 💰 Free tier + paid plans
+   - Real-time stock data
+   - Options data
+   - Free tier + paid plans
   - https://polygon.io/

 ### **Best Free Option: Build Your Own with yfinance**
@@ -97,7 +97,7 @@ Track volume/price changes every 5 minutes for congressional watchlist tickers.

 ---

-## 💡 **Practical Hybrid System**
+## **Practical Hybrid System**

 ### **What We Can Build:**

@@ -141,37 +141,37 @@ for disclosure in new_disclosures:

 ---

-## 📈 **Example: Nancy Pelosi NVDA Trade Analysis**
+## **Example: Nancy Pelosi NVDA Trade Analysis**

 ### **Timeline:**

 ```
 Nov 10, 2024:
-  🔔 ALERT: NVDA unusual call options activity
+ ALERT: NVDA unusual call options activity
     Volume: 10x average
     Strike: $500 (2 weeks out)
     
 Nov 15, 2024:
-  💰 Someone buys NVDA (unknown who at the time)
+ Someone buys NVDA (unknown who at the time)
  
 Nov 18, 2024:
-  📰 NVDA announces new AI chip
-  📈 Stock jumps 15%
+ NVDA announces new AI chip
+ Stock jumps 15%
  
 Dec 15, 2024:
-  📋 Disclosure: Nancy Pelosi bought NVDA on Nov 15
+ Disclosure: Nancy Pelosi bought NVDA on Nov 15
     Value: $15,001-$50,000
     
 ANALYSIS:
-  ✅ She bought AFTER unusual options activity (Nov 10)
-  ❓ She bought BEFORE announcement (Nov 18)
-  ⏱️ Timing: 3 days before major news
-  🚩 Flag: Investigate if announcement was public knowledge
+ She bought AFTER unusual options activity (Nov 10)
+ She bought BEFORE announcement (Nov 18)
+ ⏱ Timing: 3 days before major news
+ Flag: Investigate if announcement was public knowledge
 ```

 ---

-## 🎯 **Recommended Approach**
+## **Recommended Approach**

 ### **Phase 1: Build Congressional Ticker Watchlist**

@@ -230,12 +230,12 @@ def monitor_tickers(tickers, interval_minutes=5):
                    # Check for unusual volume
                    avg_volume = current['Volume'].mean()
                    if latest['Volume'] > avg_volume * 3:
-                        alert(f"🔔 {ticker}: Unusual volume spike!")
+ alert(f" {ticker}: Unusual volume spike!")
                    
                    # Check for price movement
                    price_change = (latest['Close'] - current['Open'].iloc[0]) / current['Open'].iloc[0]
                    if abs(price_change) > 0.05:  # 5% move
-                        alert(f"📈 {ticker}: {price_change:.2%} move today!")
+ alert(f" {ticker}: {price_change:.2%} move today!")
                        
            except Exception as e:
                print(f"Error monitoring {ticker}: {e}")
@@ -290,31 +290,31 @@ def analyze_disclosure_timing(disclosure):

 ---

-## 🚨 **Realistic Expectations**
+## **Realistic Expectations**

 ### **What This System Will Do:**
-✅ Monitor stocks Congress members historically trade
-✅ Alert on unusual market activity in those stocks
-✅ Retroactively correlate disclosures with earlier alerts
-✅ Identify timing patterns and potential advantages
-✅ Build database of congressional trading patterns
+ Monitor stocks Congress members historically trade
+ Alert on unusual market activity in those stocks
+ Retroactively correlate disclosures with earlier alerts
+ Identify timing patterns and potential advantages
+ Build database of congressional trading patterns

 ### **What This System WON'T Do:**
-❌ Identify WHO is buying in real-time
-❌ Give you advance notice of congressional trades
-❌ Provide real-time inside information
-❌ Allow you to "front-run" Congress
+ Identify WHO is buying in real-time
+ Give you advance notice of congressional trades
+ Provide real-time inside information
+ Allow you to "front-run" Congress

 ### **Legal & Ethical:**
-✅ All data is public
-✅ Analysis is retrospective
-✅ For research and transparency
-✅ Not market manipulation
-❌ Cannot and should not be used to replicate potentially illegal trades
+ All data is public
+ Analysis is retrospective
+ For research and transparency
+ Not market manipulation
+ Cannot and should not be used to replicate potentially illegal trades

 ---

-## 📊 **Proposed Implementation**
+## **Proposed Implementation**

 ### **New Scripts to Create:**

@@ -365,15 +365,15 @@ CREATE TABLE disclosure_timing_analysis (

 ---

-## 🎯 **Summary**
+## **Summary**

 ### **Your Question:**
 > "Can we read live trades being made and compare them to a name?"

 ### **Answer:**
-❌ **No** - Live trades are anonymous, can't identify individuals
+ **No** - Live trades are anonymous, can't identify individuals

-✅ **BUT** - You CAN:
+ **BUT** - You CAN:
 1. Monitor unusual activity in stocks Congress trades
 2. Log these alerts in real-time
 3. When disclosures appear (30-45 days later), correlate them
@@ -381,25 +381,25 @@ CREATE TABLE disclosure_timing_analysis (
 5. Build patterns database of timing and performance

 ### **This Gives You:**
- ✅ Transparency on timing advantages
- ✅ Pattern detection across officials
- ✅ Research-grade analysis
- ✅ Historical correlation data
+- Transparency on timing advantages
+- Pattern detection across officials
+- Research-grade analysis
+- Historical correlation data

 ### **This Does NOT Give You:**
- ❌ Real-time identity of traders
- ❌ Advance notice of congressional trades
- ❌ Ability to "front-run" disclosures
+- Real-time identity of traders
+- Advance notice of congressional trades
+- Ability to "front-run" disclosures

 ---

-## 🚀 **Would You Like Me To Build This?**
+## **Would You Like Me To Build This?**

 I can create:
-1. ✅ Real-time monitoring system for congressional tickers
-2. ✅ Alert logging and analysis
-3. ✅ Timing correlation when disclosures appear
-4. ✅ Pattern detection and reporting
+1. Real-time monitoring system for congressional tickers
+2. Alert logging and analysis
+3. Timing correlation when disclosures appear
+4. Pattern detection and reporting

 This would be **Phase 2.5** of POTE - the "timing analysis" module.

@@ -205,18 +205,18 @@ Output:
 POTE HEALTH CHECK
 ============================================================
 Timestamp: 2025-12-15T10:30:00
-Overall Status: ✓ OK
+Overall Status: OK

-✓ Database Connection: Database connection successful
-✓ Data Freshness: Data is fresh (2 days old)
+ Database Connection: Database connection successful
+ Data Freshness: Data is fresh (2 days old)
    latest_trade_date: 2025-12-13
-✓ Data Counts: Database has 1,234 trades
+ Data Counts: Database has 1,234 trades
    officials: 45
    securities: 123
    trades: 1,234
    prices: 12,345
    market_alerts: 567
-✓ Recent Alerts: 23 alerts in last 24 hours
+ Recent Alerts: 23 alerts in last 24 hours
 ============================================================
 ```

@@ -22,18 +22,18 @@ chmod 600 .env
 chown poteapp:poteapp .env
 ```

-### ✅ Pros
+### Pros
 - Simple, works immediately
 - No additional setup
 - Standard practice for Python projects

-### ⚠️ Cons
+### Cons
 - Secrets stored in plain text on disk
 - Risk if server is compromised
 - No audit trail

-### 🔒 Security Checklist
- [ ] `.env` in `.gitignore` (already done ✅)
+### Security Checklist
+- [ ] `.env` in `.gitignore` (already done )
 - [ ] File permissions: `chmod 600 .env`
 - [ ] Never commit to git
 - [ ] Backup securely (encrypted)
@@ -76,12 +76,12 @@ sudo chmod 600 /etc/systemd/system/pote.service
 sudo systemctl daemon-reload
 ```

-### ✅ Pros
+### Pros
 - Secrets not in git or project directory
 - Standard Linux practice
 - Works with systemd timers

-### ⚠️ Cons
+### Cons
 - Still visible in `systemctl show`
 - Requires root to edit

@@ -128,12 +128,12 @@ source .env
 python scripts/send_daily_report.py
 ```

-### ✅ Pros
+### Pros
 - Secrets separate from code
 - Easy to rotate
 - Can be backed up separately

-### ⚠️ Cons
+### Cons
 - Extra file to manage
 - Still plain text

@@ -191,12 +191,12 @@ class Settings(BaseSettings):
    smtp_password: str = Field(default_factory=lambda: get_secret("SMTP_PASSWORD"))
 ```

-### ✅ Pros
+### Pros
 - Docker-native solution
 - Encrypted in Swarm mode
 - Never in logs

-### ⚠️ Cons
+### Cons
 - Requires Docker
 - More complex setup

@@ -228,13 +228,13 @@ secrets = client.secrets.kv.v2.read_secret_version(path='pote')
 smtp_password = secrets['data']['data']['smtp_password']
 ```

-### ✅ Pros
+### Pros
 - Centralized secrets management
 - Audit logs
 - Dynamic secrets
 - Access control

-### ⚠️ Cons
+### Cons
 - Complex setup
 - Requires Vault infrastructure
 - Overkill for single user
@@ -260,14 +260,14 @@ env:
  DATABASE_URL: postgresql://user:${{ secrets.DB_PASSWORD }}@postgres/db
 ```

-### ⚠️ Important
+### Important
 - **Only for CI/CD pipelines**
 - **NOT for deployed servers**
 - Secrets are injected during workflow runs

 ---

-## 🎯 Recommendation for Your Setup
+## Recommendation for Your Setup

 ### Personal/Research Use (Current)

@@ -305,9 +305,9 @@ gpg -c .env  # Creates .env.gpg

 ---

-## 🔒 General Security Best Practices
+## General Security Best Practices

-### ✅ DO
+### DO

 - Use strong, unique passwords
 - Restrict file permissions (`chmod 600`)
@@ -316,7 +316,7 @@ gpg -c .env  # Creates .env.gpg
 - Use encrypted backups
 - Audit who has server access

-### ❌ DON'T
+### DON'T

 - Commit secrets to git (even private repos)
 - Store passwords in code
@@ -327,7 +327,7 @@ gpg -c .env  # Creates .env.gpg

 ---

-## 🧪 Test Your Security
+## Test Your Security

 ### Check if `.env` is protected

@@ -352,7 +352,7 @@ git log --all --full-history --source --pickaxe-all -S 'smtp_password'

 ---

-## 🔄 Password Rotation Procedure
+## Password Rotation Procedure

 ### Every 90 days (or if compromised):

@@ -369,32 +369,32 @@ git log --all --full-history --source --pickaxe-all -S 'smtp_password'

 ---

-## 📊 Security Level Comparison
+## Security Level Comparison

 | Level | Method | Effort | Protection |
 |-------|--------|--------|------------|
-| 🔓 Basic | `.env` (default perms) | None | Low |
-| 🔒 Good | `.env` (chmod 600) | 1 min | Medium |
-| 🔒 Better | Environment variables | 10 min | Good |
-| 🔒 Better | Separate secrets file | 10 min | Good |
-| 🔐 Best | Docker Secrets | 30 min | Very Good |
-| 🔐 Best | Vault | 2+ hours | Excellent |
+| Basic | `.env` (default perms) | None | Low |
+| Good | `.env` (chmod 600) | 1 min | Medium |
+| Better | Environment variables | 10 min | Good |
+| Better | Separate secrets file | 10 min | Good |
+| Best | Docker Secrets | 30 min | Very Good |
+| Best | Vault | 2+ hours | Excellent |

 ---

-## 🎯 Your Current Status
+## Your Current Status

-✅ **Already secure enough for personal use:**
- `.env` in `.gitignore` ✅
- Not committed to git ✅
- Local server only ✅
+ **Already secure enough for personal use:**
+- `.env` in `.gitignore` 
+- Not committed to git 
+- Local server only 

-⚠️ **Recommended improvement (2 minutes):**
+ **Recommended improvement (2 minutes):**
 ```bash
 chmod 600 .env
 ```

-🔐 **Optional (if paranoid):**
+ **Optional (if paranoid):**
 - Use separate secrets file in `/etc/pote/`
 - Encrypt backups with GPG
 - Set up password rotation schedule
@@ -405,9 +405,9 @@ chmod 600 .env

 **For your levkin.ca setup:**

-1. **Current approach (`.env` file) is fine** ✅
+1. **Current approach (`.env` file) is fine** 
 2. **Add `chmod 600 .env`** for better security (2 minutes)
-3. **Don't commit `.env` to git** (already protected ✅)
+3. **Don't commit `.env` to git** (already protected )
 4. **Consider upgrading to environment variables** if you deploy to production

 Your current setup is **appropriate for a personal research project**. Don't over-engineer it unless you have specific compliance requirements or a team.
@@ -62,7 +62,7 @@ Follow the prompts:
 2. Choose daily report time (recommend 6 AM)
 3. Confirm

-That's it! 🎉
+That's it! 

 ---

@@ -112,7 +112,7 @@ Run the daily script manually to test:
 ./scripts/automated_daily_run.sh
 ```

-Check if email arrived! 📧
+Check if email arrived! 

 ---

@@ -244,5 +244,5 @@ Add to cron for regular health checks:

 ---

-**You're all set! POTE will now run automatically and send you daily/weekly reports. 🚀**
+**You're all set! POTE will now run automatically and send you daily/weekly reports. **

@@ -1,17 +1,17 @@
 # POTE Deployment & Automation Guide

-## 🎯 Quick Answer to Your Questions
+## Quick Answer to Your Questions

 ### After Deployment, What Happens?

 **By default: NOTHING automatic happens.** You need to set up automation.

 The deployed system is:
- ✅ Running (database, code installed)
- ✅ Accessible via SSH at your Proxmox IP
- ❌ NOT fetching data automatically
- ❌ NOT sending reports automatically
- ❌ NOT monitoring markets automatically
+- Running (database, code installed)
+- Accessible via SSH at your Proxmox IP
+- NOT fetching data automatically
+- NOT sending reports automatically
+- NOT monitoring markets automatically

 **You must either:**
 1. **Run scripts manually** when you want updates, OR
@@ -19,7 +19,7 @@ The deployed system is:

 ---

-## 🚀 Option 1: Automated Email Reports (Recommended)
+## Option 1: Automated Email Reports (Recommended)

 ### What You Get

@@ -53,13 +53,13 @@ Run the interactive setup:
 Follow prompts:
 1. Enter your email address
 2. Choose report time (default: 6 AM)
-3. Done! ✅
+3. Done! 

 **See full guide:** [`AUTOMATION_QUICKSTART.md`](AUTOMATION_QUICKSTART.md)

 ---

-## 📍 Option 2: Access Reports via IP (No Email)
+## Option 2: Access Reports via IP (No Email)

 If you don't want email, you can:

@@ -107,7 +107,7 @@ python scripts/health_check.py

 ---

-## 🌐 Option 3: Build a Web Interface (Future)
+## Option 3: Build a Web Interface (Future)

 Currently, POTE is **command-line only**. No web UI yet.

@@ -122,16 +122,16 @@ For now, use SSH or email reports.

 ---

-## 🔄 Do You Need CI/CD Pipelines?
+## Do You Need CI/CD Pipelines?

 ### What the Pipeline Does

 The included CI/CD pipeline (`.github/workflows/ci.yml`) runs on **every git push**:

-1. ✅ Lint & test (93 tests)
-2. ✅ Security scanning
-3. ✅ Dependency scanning
-4. ✅ Docker build test
+1. Lint & test (93 tests)
+2. Security scanning
+3. Dependency scanning
+4. Docker build test

 ### Should You Use It?

@@ -174,18 +174,18 @@ docker build -t pote:test .

 ---

-## 📊 Comparison of Options
+## Comparison of Options

 | Method | Pros | Cons | Best For |
 |--------|------|------|----------|
-| **Automated Email** | ✅ Convenient<br>✅ No SSH needed<br>✅ Daily/weekly updates | ❌ Requires SMTP setup | Most users |
-| **SSH + Manual Scripts** | ✅ Full control<br>✅ No email needed | ❌ Manual work<br>❌ Must remember to run | Power users |
-| **Saved Reports (SSH access)** | ✅ Automated<br>✅ No email | ❌ Must SSH to view | Users without email |
-| **Web Interface** | ✅ User-friendly | ❌ Not implemented yet | Future |
+| **Automated Email** | Convenient<br> No SSH needed<br> Daily/weekly updates | Requires SMTP setup | Most users |
+| **SSH + Manual Scripts** | Full control<br> No email needed | Manual work<br> Must remember to run | Power users |
+| **Saved Reports (SSH access)** | Automated<br> No email | Must SSH to view | Users without email |
+| **Web Interface** | User-friendly | Not implemented yet | Future |

 ---

-## 🛠️ Your Ansible Pipeline
+## Your Ansible Pipeline

 Your existing Ansible CI/CD pipeline is **NOT directly usable** for POTE because:

@@ -197,11 +197,11 @@ Your existing Ansible CI/CD pipeline is **NOT directly usable** for POTE because

 **Concepts from your pipeline that ARE used in POTE's CI/CD:**

- ✅ Security scanning (Trivy, Bandit instead of Gitleaks)
- ✅ Dependency scanning (Trivy instead of npm audit)
- ✅ SAST scanning (Bandit instead of Semgrep)
- ✅ Container scanning (Docker build test)
- ✅ Workflow summary generation
+- Security scanning (Trivy, Bandit instead of Gitleaks)
+- Dependency scanning (Trivy instead of npm audit)
+- SAST scanning (Bandit instead of Semgrep)
+- Container scanning (Docker build test)
+- Workflow summary generation

 **The POTE pipeline (`.github/workflows/ci.yml`) already includes all of these!**

@@ -217,7 +217,7 @@ Your Gitea server can run the POTE pipeline using Gitea Actions:

 ---

-## 📧 Email Setup Examples
+## Email Setup Examples

 ### Gmail (Most Common)

@@ -258,7 +258,7 @@ REPORT_RECIPIENTS=admin@yourdomain.com

 ---

-## ✅ Recommended Setup for Most Users
+## Recommended Setup for Most Users

 1. **Deploy to Proxmox** (5 min)
   ```bash
@@ -283,7 +283,7 @@ REPORT_RECIPIENTS=admin@yourdomain.com

 ---

-## 🔍 Monitoring & Health Checks
+## Monitoring & Health Checks

 ### Add System Health Monitoring

@@ -310,17 +310,17 @@ python scripts/health_check.py

 ---

-## 📚 Full Documentation
+## Full Documentation

- **Automation Setup**: [`AUTOMATION_QUICKSTART.md`](AUTOMATION_QUICKSTART.md) ⭐
- **Deployment**: [`PROXMOX_QUICKSTART.md`](PROXMOX_QUICKSTART.md) ⭐
- **Usage**: [`QUICKSTART.md`](QUICKSTART.md) ⭐
+- **Automation Setup**: [`AUTOMATION_QUICKSTART.md`](AUTOMATION_QUICKSTART.md) 
+- **Deployment**: [`PROXMOX_QUICKSTART.md`](PROXMOX_QUICKSTART.md) 
+- **Usage**: [`QUICKSTART.md`](QUICKSTART.md) 
 - **Detailed Automation Guide**: [`docs/12_automation_and_reporting.md`](docs/12_automation_and_reporting.md)
 - **Monitoring System**: [`MONITORING_SYSTEM_COMPLETE.md`](MONITORING_SYSTEM_COMPLETE.md)

 ---

-## 🎉 Summary
+## Summary

 **After deployment:**
 - Reports are NOT sent automatically by default
@@ -334,5 +334,5 @@ python scripts/health_check.py
 1. Deploy to Proxmox
 2. Run `./scripts/setup_cron.sh`
 3. Receive daily/weekly email reports
-4. Done! 🚀
+4. Done! 

@@ -2,7 +2,7 @@

 Homelab POTE sends via Mailcow **`mail.levkine.ca`** using the shared **`alerts@levkine.ca`** mailbox (same as Kuma/Beszel). See ansible `docs/guides/smtp-inventory.md`.

-## ✅ Configuration Done
+## Configuration Done

 The `.env` file has been created with these settings:

@@ -15,7 +15,7 @@ FROM_EMAIL=alerts@levkine.ca
 REPORT_RECIPIENTS=idobkin@gmail.com
 ```

-## 🔑 Next Steps
+## Next Steps

 ### 1. Add Your Password

@@ -38,7 +38,7 @@ python scripts/send_daily_report.py --to test@levkin.ca --test-smtp
 If successful, you'll see:
 ```
 SMTP connection test successful!
-✓ Daily report sent successfully!
+ Daily report sent successfully!
 ```

 And you should receive a test email at `test@levkin.ca`!
@@ -57,7 +57,7 @@ This will:
 - Schedule daily reports (default: 6 AM)
 - Schedule weekly reports (Sundays at 8 AM)

-## 📧 Email Server Details (For Reference)
+## Email Server Details (For Reference)

 Based on your Thunderbird setup:

@@ -76,10 +76,10 @@ Based on your Thunderbird setup:

 POTE only uses **SMTP (outgoing)** to send reports.

-## 🔒 Security Notes
+## Security Notes

 1. **Never commit `.env` to git!**
-   - Already in `.gitignore` ✅
+ - Already in `.gitignore` 
   - Contains sensitive password

 2. **Password Security:**
@@ -92,7 +92,7 @@ POTE only uses **SMTP (outgoing)** to send reports.
   chmod 600 .env  # Only owner can read/write
   ```

-## 🎯 Change Recipients
+## Change Recipients

 To send reports to different email addresses (not just test@levkin.ca):

@@ -109,14 +109,14 @@ python scripts/send_daily_report.py --to someone-else@example.com
 # The FROM address will still be test@levkin.ca
 ```

-## ✅ Testing Checklist
+## Testing Checklist

 - [ ] Updated `.env` with your actual password
 - [ ] Run `python scripts/send_daily_report.py --to test@levkin.ca --test-smtp`
 - [ ] Checked inbox at test@levkin.ca (check spam folder!)
 - [ ] If successful, run `./scripts/setup_cron.sh` to automate

-## 🐛 Troubleshooting
+## Troubleshooting

 ### Error: "SMTP connection failed"

@@ -139,5 +139,5 @@ Check:

 ---

-**You're all set! POTE will send reports from test@levkin.ca 📧**
+**You're all set! POTE will send reports from test@levkin.ca **

@@ -2,14 +2,14 @@

 ## TL;DR: You can test everything for $0

-### Already Working (PR1 ✅)
+### Already Working (PR1 )
 - **Price data**: `yfinance` (free, unlimited)
 - **Unit tests**: Mocked data in `tests/` (15 passing tests)
 - **Coverage**: 87% without any paid APIs

 ### For PR2 (Congressional Trades) - FREE Options

-#### Best Option: House Stock Watcher 🌟
+#### Best Option: House Stock Watcher
 ```bash
 # No API key needed, just scrape their public JSON
 curl https://housestockwatcher.com/api/all_transactions
@@ -44,10 +44,10 @@ python scripts/fetch_house_watcher_sample.py  # We'll build this in PR2

 ### What You DON'T Need to Pay For

-❌ QuiverQuant Pro ($30/mo) - free tier is enough for dev/testing  
-❌ Financial Modeling Prep paid tier - free tier works  
-❌ Any paid database hosting - SQLite works great locally  
-❌ Any cloud services - runs 100% locally
+ QuiverQuant Pro ($30/mo) - free tier is enough for dev/testing 
+ Financial Modeling Prep paid tier - free tier works 
+ Any paid database hosting - SQLite works great locally 
+ Any cloud services - runs 100% locally

 ### When You MIGHT Want Paid (Way Later)

@@ -56,7 +56,7 @@ python scripts/fetch_house_watcher_sample.py  # We'll build this in PR2
 - Multiple concurrent users on a dashboard
 - Commercial use (check each API's terms)

-**For personal research? Stay free forever. 🎉**
+**For personal research? Stay free forever. **

 ---

@@ -1,20 +1,20 @@
-# 🔐 Gitea Secrets Guide for POTE
+# Gitea Secrets Guide for POTE

-## ✅ YES! You Can Store Passwords in Gitea
+## YES! You Can Store Passwords in Gitea

 Gitea has a **Secrets** feature (like GitHub Actions secrets) that lets you store passwords securely and use them in:
-1. **CI/CD pipelines** (Gitea Actions workflows) ✅
-2. **Deployment workflows** ✅
+1. **CI/CD pipelines** (Gitea Actions workflows) 
+2. **Deployment workflows** 

 **BUT NOT:**
- ❌ Directly in your running application on Proxmox
- ❌ Accessed by scripts outside of workflows
+- Directly in your running application on Proxmox
+- Accessed by scripts outside of workflows

 ---

-## 🎯 What Gitea Secrets Are Good For
+## What Gitea Secrets Are Good For

-### ✅ Perfect Use Cases
+### Perfect Use Cases

 1. **CI/CD Testing** - Run tests with real credentials
 2. **Automated Deployment** - Deploy to Proxmox with SSH keys
@@ -22,7 +22,7 @@ Gitea has a **Secrets** feature (like GitHub Actions secrets) that lets you stor
 4. **Docker Registry** - Push images with credentials
 5. **API Keys** - Access external services during builds

-### ❌ NOT Good For
+### NOT Good For

 1. **Runtime secrets** - Your deployed app on Proxmox can't access them
 2. **Local development** - Can't use secrets on your laptop
@@ -30,7 +30,7 @@ Gitea has a **Secrets** feature (like GitHub Actions secrets) that lets you stor

 ---

-## 🔧 How to Set Up Gitea Secrets
+## How to Set Up Gitea Secrets

 ### Step 1: Add Secrets to Gitea

@@ -57,7 +57,7 @@ Secrets are accessed with `${{ secrets.SECRET_NAME }}` syntax.

 ---

-## 📝 Example: CI Pipeline with Secrets
+## Example: CI Pipeline with Secrets

 **File:** `.github/workflows/ci.yml`

@@ -92,11 +92,11 @@ jobs:
            --smtp-password "${{ secrets.SMTP_PASSWORD }}"
 ```

-**✅ I've already updated your CI pipeline to use secrets!**
+** I've already updated your CI pipeline to use secrets!**

 ---

-## 🚀 Example: Automated Deployment Workflow
+## Example: Automated Deployment Workflow

 Create `.github/workflows/deploy.yml`:

@@ -152,7 +152,7 @@ jobs:

 ---

-## 🔄 How Secrets Flow to Your Server
+## How Secrets Flow to Your Server

 ### Option 1: Deploy Workflow Updates `.env` (Recommended)

@@ -201,11 +201,11 @@ jobs:

 ---

-## 🎯 Recommended Setup for Your POTE Project
+## Recommended Setup for Your POTE Project

 ### For CI/CD (Testing):

-**Use Gitea Secrets** ✅
+**Use Gitea Secrets** 

 ```yaml
 # .github/workflows/ci.yml (already updated!)
@@ -216,7 +216,7 @@ env:

 ### For Deployed Server (Proxmox):

-**Keep using `.env` file** ✅
+**Keep using `.env` file** 

 Why?
 - Simpler for manual SSH access
@@ -227,7 +227,7 @@ Why?

 ---

-## 🚀 Complete Workflow: Gitea → Proxmox
+## Complete Workflow: Gitea → Proxmox

 ### 1. Store Secrets in Gitea

@@ -264,27 +264,27 @@ git push origin main

 ---

-## ⚠️ Important Limitations
+## Important Limitations

 ### Gitea Secrets CAN'T:

-❌ Be accessed outside of workflows
-❌ Be used in local `python script.py` runs
-❌ Be read by cron jobs on Proxmox (directly)
-❌ Replace `.env` for runtime application config
+ Be accessed outside of workflows
+ Be used in local `python script.py` runs
+ Be read by cron jobs on Proxmox (directly)
+ Replace `.env` for runtime application config

 ### Gitea Secrets CAN:

-✅ Secure your CI/CD pipeline
-✅ Deploy safely without exposing passwords in git
-✅ Update `.env` on server during deployment
-✅ Run automated tests with real credentials
+ Secure your CI/CD pipeline
+ Deploy safely without exposing passwords in git
+ Update `.env` on server during deployment
+ Run automated tests with real credentials

 ---

-## 🔒 Security Best Practices
+## Security Best Practices

-### ✅ DO:
+### DO:

 1. **Store ALL sensitive data as Gitea secrets**
   - SMTP passwords
@@ -300,10 +300,10 @@ git push origin main

 3. **Never echo secrets**
   ```yaml
-   # ❌ BAD - exposes in logs
+ # BAD - exposes in logs
   - run: echo "${{ secrets.PASSWORD }}"
   
-   # ✅ GOOD - masked automatically
+ # GOOD - masked automatically
   - run: use_password "${{ secrets.PASSWORD }}"
   ```

@@ -311,7 +311,7 @@ git push origin main
   - Update in Gitea UI
   - Re-run deployment workflow

-### ❌ DON'T:
+### DON'T:

 1. **Commit secrets to git** (even private repos)
 2. **Share secrets via Slack/email**
@@ -320,18 +320,18 @@ git push origin main

 ---

-## 📊 Comparison: Where to Store Secrets
+## Comparison: Where to Store Secrets

 | Storage | CI/CD | Deployed App | Easy Updates | Security |
 |---------|-------|--------------|--------------|----------|
-| **Gitea Secrets** | ✅ Perfect | ❌ No | ✅ Via workflow | ⭐⭐⭐⭐⭐ |
-| **`.env` file** | ❌ No | ✅ Perfect | ✅ `nano .env` | ⭐⭐⭐ |
-| **Environment Vars** | ✅ Yes | ✅ Yes | ❌ Harder | ⭐⭐⭐⭐ |
-| **Both (Recommended)** | ✅ Yes | ✅ Yes | ✅ Automated | ⭐⭐⭐⭐⭐ |
+| **Gitea Secrets** | Perfect | No | Via workflow | |
+| **`.env` file** | No | Perfect | `nano .env` | |
+| **Environment Vars** | Yes | Yes | Harder | |
+| **Both (Recommended)** | Yes | Yes | Automated | |

 ---

-## 🎯 My Recommendation for You
+## My Recommendation for You

 ### Use BOTH:

@@ -345,21 +345,21 @@ git push origin main
 2. Commit code changes
 3. Push to Gitea
 4. Workflow runs:
-   - Tests with Gitea secrets ✅
-   - Deploys to Proxmox ✅
-   - Updates .env with secrets ✅
-5. Proxmox app reads from .env ✅
+ - Tests with Gitea secrets 
+ - Deploys to Proxmox 
+ - Updates .env with secrets 
+5. Proxmox app reads from .env 
 ```

 **This gives you:**
- ✅ Secure CI/CD
- ✅ Easy manual SSH access
- ✅ Automated deployments
- ✅ No passwords in git
+- Secure CI/CD
+- Easy manual SSH access
+- Automated deployments
+- No passwords in git

 ---

-## 🚀 Next Steps
+## Next Steps

 ### 1. Add Secrets to Gitea (5 minutes)

@@ -387,7 +387,7 @@ I can create `.github/workflows/deploy.yml` if you want automated deployments!

 ---

-## 💡 Quick Commands
+## Quick Commands

 ### Add SSH Key to Gitea (for deployment):

@@ -409,12 +409,12 @@ git commit --allow-empty -m "Test secrets"
 git push

 # Check Gitea Actions tab
-# Look for green checkmarks ✅
+# Look for green checkmarks
 ```

 ---

-## 📚 See Also
+## See Also

 - **[docs/13_secrets_management.md](docs/13_secrets_management.md)** - All secrets options
 - **[.github/workflows/ci.yml](.github/workflows/ci.yml)** - Updated with secrets support
@@ -422,16 +422,16 @@ git push

 ---

-## ✅ Summary
+## Summary

 **YES, use Gitea secrets!** They're perfect for:
- ✅ CI/CD pipelines
- ✅ Automated deployments
- ✅ Keeping passwords out of git
+- CI/CD pipelines
+- Automated deployments
+- Keeping passwords out of git

 **But ALSO keep `.env` on Proxmox** for:
- ✅ Runtime application config
- ✅ Manual SSH access
- ✅ Cron jobs
+- Runtime application config
+- Manual SSH access
+- Cron jobs

-**Best of both worlds:** Gitea secrets deploy and update the `.env` file automatically! 🚀
+**Best of both worlds:** Gitea secrets deploy and update the `.env` file automatically! 
@@ -1,6 +1,6 @@
 # Local Testing Guide for POTE

-## ✅ Testing Locally Before Deployment
+## Testing Locally Before Deployment

 ### Quick Test - Run Full Suite

@@ -10,18 +10,18 @@ source venv/bin/activate
 pytest -v
 ```

-**Expected Result:** All 55 tests should pass ✅
+**Expected Result:** All 55 tests should pass 

 ---

-## 📊 Current Data Status
+## Current Data Status

-### Live Data Status: ❌ **NOT LIVE YET**
+### Live Data Status:  **NOT LIVE YET**

 **Why?**
- 🔴 **House Stock Watcher API is DOWN** (domain issues, unreachable)
- 🟢 **yfinance works** (for price data)
- 🟡 **Sample data available** (5 trades from fixtures)
+- **House Stock Watcher API is DOWN** (domain issues, unreachable)
+- **yfinance works** (for price data)
+- **Sample data available** (5 trades from fixtures)

 ### What Data Do You Have?

@@ -40,7 +40,7 @@ This will show:

 ---

-## 🧪 Testing Analytics Locally
+## Testing Analytics Locally

 ### 1. Unit Tests (Fast, No External Dependencies)

@@ -53,10 +53,10 @@ pytest tests/test_analytics_integration.py -v
 ```

 These tests:
- ✅ Create synthetic price data
- ✅ Simulate trades with known returns
- ✅ Verify calculations are correct
- ✅ Test edge cases (missing data, sell trades, etc.)
+- Create synthetic price data
+- Simulate trades with known returns
+- Verify calculations are correct
+- Test edge cases (missing data, sell trades, etc.)

 ### 2. Manual Test with Local Database

@@ -92,27 +92,27 @@ calc = ReturnCalculator(session)

 ---

-## 📦 What Gets Tested?
+## What Gets Tested?

-### Core Functionality (All Working ✅)
+### Core Functionality (All Working )
 1. **Database Models** - Officials, Securities, Trades, Prices
 2. **Data Ingestion** - Trade loading, security enrichment
 3. **Analytics Engine** - Returns, benchmarks, metrics
 4. **Edge Cases** - Missing data, sell trades, disclosure lags

 ### Integration Tests Cover:
- ✅ Return calculations over multiple time windows (30/60/90/180 days)
- ✅ Benchmark comparisons (stock vs SPY/QQQ)
- ✅ Abnormal return (alpha) calculations
- ✅ Official performance summaries
- ✅ Sector analysis
- ✅ Disclosure timing analysis
- ✅ Top performer rankings
- ✅ System-wide statistics
+- Return calculations over multiple time windows (30/60/90/180 days)
+- Benchmark comparisons (stock vs SPY/QQQ)
+- Abnormal return (alpha) calculations
+- Official performance summaries
+- Sector analysis
+- Disclosure timing analysis
+- Top performer rankings
+- System-wide statistics

 ---

-## 🔄 Getting Live Data
+## Getting Live Data

 ### Option 1: Wait for House Stock Watcher API
 The API is currently down. Once it's back up:
@@ -164,7 +164,7 @@ export QUIVER_API_KEY="your_key_here"

 ---

-## 📈 After Adding Data, Fetch Prices
+## After Adding Data, Fetch Prices

 ```bash
 # This will fetch prices for all securities in your database
@@ -176,12 +176,12 @@ python scripts/enrich_securities.py

 ---

-## 🎯 Complete Local Test Workflow
+## Complete Local Test Workflow

 ```bash
 # 1. Run all tests
 pytest -v
-# ✅ All 55 tests should pass
+# All 55 tests should pass

 # 2. Check local database
 python -c "
@@ -210,7 +210,7 @@ python scripts/calculate_all_returns.py --window 90

 ---

-## 🚀 Deploy to Proxmox
+## Deploy to Proxmox

 Once local tests pass:

@@ -240,7 +240,7 @@ alembic upgrade head

 ---

-## 🐛 Common Issues
+## Common Issues

 ### "No price data found"
 **Fix:** Run `python scripts/fetch_sample_prices.py`
@@ -260,7 +260,7 @@ sudo -u postgres psql -c "\l"

 ---

-## 📊 Test Coverage
+## Test Coverage

 Run tests with coverage report:

@@ -277,19 +277,19 @@ firefox htmlcov/index.html  # View coverage report

 ---

-## ✨ Summary
+## Summary

 **Before Deploying:**
-1. ✅ Run `pytest -v` - all tests pass
-2. ✅ Run `make lint` - no errors
-3. ✅ Test locally with sample data
-4. ✅ Verify analytics work with synthetic prices
+1. Run `pytest -v` - all tests pass
+2. Run `make lint` - no errors
+3. Test locally with sample data
+4. Verify analytics work with synthetic prices

 **Getting Live Data:**
- 🔴 House Stock Watcher API is down (external issue)
- 🟢 Manual CSV import works NOW
- 🟢 yfinance for prices works NOW
- 🟡 QuiverQuant available (requires free API key)
+- House Stock Watcher API is down (external issue)
+- Manual CSV import works NOW
+- yfinance for prices works NOW
+- QuiverQuant available (requires free API key)

 **You can deploy and use the system NOW with:**
 - Manual data entry
@@ -1,6 +1,6 @@
 # Offline Demo - Works Without Internet!

-## ✅ Full System Working Without Network Access
+## Full System Working Without Network Access

 Even though your environment doesn't have external internet, **everything works perfectly** using fixture files.

@@ -10,9 +10,9 @@ Even though your environment doesn't have external internet, **everything works
 python scripts/ingest_from_fixtures.py

 # Output:
-# ✓ Officials created/updated: 4
-# ✓ Securities created/updated: 2
-# ✓ Trades ingested: 5
+# Officials created/updated: 4
+# Securities created/updated: 2
+# Trades ingested: 5
 #
 # Database totals:
 #   Total officials: 4
@@ -33,7 +33,7 @@ python scripts/ingest_from_fixtures.py
   - NVDA, MSFT, AAPL, TSLA, GOOGL tickers

 2. **Offline Scripts**
-   - `scripts/ingest_from_fixtures.py` - Ingest sample trades (✅ works now!)
+ - `scripts/ingest_from_fixtures.py` - Ingest sample trades ( works now!)
   - `scripts/fetch_sample_prices.py` - Would need network (yfinance)

 3. **28 Passing Tests** - All use mocks, no network required
@@ -67,14 +67,14 @@ with SessionLocal() as session:

 ### What You Can Do Offline

-✅ **Run all tests**: `make test`  
-✅ **Ingest fixture data**: `python scripts/ingest_from_fixtures.py`  
-✅ **Query the database**: Use Python REPL or SQLite browser  
-✅ **Lint & format**: `make lint format`  
-✅ **Run migrations**: `make migrate`  
-✅ **Build analytics** (Phase 2): All math/ML works offline!  
+ **Run all tests**: `make test` 
+ **Ingest fixture data**: `python scripts/ingest_from_fixtures.py` 
+ **Query the database**: Use Python REPL or SQLite browser 
+ **Lint & format**: `make lint format` 
+ **Run migrations**: `make migrate` 
+ **Build analytics** (Phase 2): All math/ML works offline! 

-❌ **Can't do (needs network)**:  
+ **Can't do (needs network)**: 
 - Fetch live congressional trades from House Stock Watcher  
 - Fetch stock prices from yfinance  
 - (But you can add more fixture files to simulate this!)
@@ -108,9 +108,9 @@ You can expand the fixtures for offline development:
 ## Summary

 **The network error is not a problem!** The entire system is designed to work with:
- ✅ Fixtures for development/testing
- ✅ Real APIs for production (when network available)
- ✅ Same code paths for both
+- Fixtures for development/testing
+- Real APIs for production (when network available)
+- Same code paths for both

-This is **by design** - makes development fast and tests reliable! 🚀
+This is **by design** - makes development fast and tests reliable! 

@@ -223,12 +223,12 @@ print(f"Win Rate: {pelosi_stats['win_rate']:.1%}")

 ## Success Criteria

- ✅ Can calculate returns for any trade + window
- ✅ Can compare to S&P 500 benchmark
- ✅ Can generate official performance summaries
- ✅ All calculations tested and accurate
- ✅ Performance data stored efficiently
- ✅ Documentation complete
+- Can calculate returns for any trade + window
+- Can compare to S&P 500 benchmark
+- Can generate official performance summaries
+- All calculations tested and accurate
+- Performance data stored efficiently
+- Documentation complete

 ## Timeline

@@ -1,4 +1,4 @@
-# Proxmox Quick Start ⚡
+# Proxmox Quick Start

 **Got Proxmox? Deploy POTE in 5 minutes!**

@@ -17,7 +17,7 @@ su - poteapp
 cd pote && source venv/bin/activate
 python scripts/ingest_from_fixtures.py

-# Done! ✅
+# Done!
 ```

 ---
@@ -81,8 +81,8 @@ source venv/bin/activate
 python scripts/ingest_from_fixtures.py

 # Should see:
-# ✓ Officials created: 4
-# ✓ Trades ingested: 5
+# Officials created: 4
+# Trades ingested: 5
 ```

 ### 5. Setup Cron Jobs
@@ -96,7 +96,7 @@ crontab -e
 15 6 * * * cd /home/poteapp/pote && /home/poteapp/pote/venv/bin/python scripts/enrich_securities.py >> /home/poteapp/logs/enrich.log 2>&1
 ```

-### 6. Done! 🎉
+### 6. Done!

 Your POTE instance is now running and will:
 - Fetch congressional trades daily at 6 AM
@@ -107,12 +107,12 @@ Your POTE instance is now running and will:

 ## What You Get

-✅ **Full PostgreSQL database**  
-✅ **Automated daily updates** (via cron)  
-✅ **Isolated environment** (LXC container)  
-✅ **Easy backups** (Proxmox snapshots)  
-✅ **Low resource usage** (~500MB RAM)  
-✅ **Cost**: Just electricity (~$5-10/mo)
+ **Full PostgreSQL database** 
+ **Automated daily updates** (via cron) 
+ **Isolated environment** (LXC container) 
+ **Easy backups** (Proxmox snapshots) 
+ **Low resource usage** (~500MB RAM) 
+ **Cost**: Just electricity (~$5-10/mo)

 ---

@@ -231,13 +231,13 @@ pip install -e .

 ## Next Steps

-1. ✅ Container running
-2. ✅ POTE installed
-3. ✅ Data ingested
-4. ⏭️ Setup Proxmox backups (Web UI → Datacenter → Backup)
-5. ⏭️ Configure static IP (if needed)
-6. ⏭️ Build Phase 2 analytics
-7. ⏭️ Add FastAPI dashboard
+1. Container running
+2. POTE installed
+3. Data ingested
+4. ⏭ Setup Proxmox backups (Web UI → Datacenter → Backup)
+5. ⏭ Configure static IP (if needed)
+6. ⏭ Build Phase 2 analytics
+7. ⏭ Add FastAPI dashboard

 ---

@@ -264,10 +264,10 @@ pct restart 100

 ---

-**Your Proxmox = Enterprise infrastructure at hobby prices!** 🚀
+**Your Proxmox = Enterprise infrastructure at hobby prices!** 

 Cost breakdown:
 - Cloud VPS: $20/mo
 - Your Proxmox: ~$10/mo (power)
- **Savings: $120/year** ✨
+- **Savings: $120/year** 

@@ -1,15 +1,15 @@
 # POTE Quick Start Guide

-## 🚀 Your System is Ready!
+## Your System is Ready!

 **Container IP**: Check with `ip addr show eth0 | grep "inet"`  
 **Database**: PostgreSQL on port 5432  
 **Username**: `poteuser`  
-**Password**: `changeme123` (⚠️ change in production!)
+**Password**: `changeme123` ( change in production!)

 ---

-## 📊 How to Use POTE
+## How to Use POTE

 ### Option 1: Command Line (SSH into container)

@@ -51,7 +51,7 @@ with engine.connect() as conn:

 ---

-## 🎯 Common Tasks
+## Common Tasks

 ### 1. Check System Status

@@ -145,7 +145,7 @@ ORDER BY trade_count DESC;

 ---

-## 📈 Example Workflows
+## Example Workflows

 ### Workflow 1: Daily Update

@@ -237,7 +237,7 @@ print(f"Exported {len(df)} trades to trades_export.csv")

 ---

-## 🔧 Maintenance
+## Maintenance

 ### Update POTE Code

@@ -287,7 +287,7 @@ nano ~/pote/.env

 ---

-## 🌐 Access Methods Summary
+## Access Methods Summary

 | Method | From Where | Command |
 |--------|-----------|---------|
@@ -298,22 +298,22 @@ nano ~/pote/.env

 ---

-## 📚 What Data Do You Have?
+## What Data Do You Have?

 Right now (Phase 1 complete):
- ✅ **Congressional trading data** (from House Stock Watcher)
- ✅ **Security information** (tickers, names, sectors)
- ✅ **Historical prices** (OHLCV data from yfinance)
- ✅ **Official profiles** (name, party, chamber, state)
+- **Congressional trading data** (from House Stock Watcher)
+- **Security information** (tickers, names, sectors)
+- **Historical prices** (OHLCV data from yfinance)
+- **Official profiles** (name, party, chamber, state)

 Coming next (Phase 2):
- 📊 **Abnormal return calculations**
- 🤖 **Behavioral clustering**
- 🚨 **Research signals** (follow_research, avoid_risk, watch)
+- **Abnormal return calculations**
+- **Behavioral clustering**
+- **Research signals** (follow_research, avoid_risk, watch)

 ---

-## 🎓 Learning SQL for POTE
+## Learning SQL for POTE

 ### Count Records
 ```sql
@@ -349,7 +349,7 @@ GROUP BY o.party;

 ---

-## ❓ Troubleshooting
+## Troubleshooting

 ### Can't connect remotely?
 ```bash
@@ -380,12 +380,12 @@ pip install -e .

 ---

-## 🚀 Next Steps
+## Next Steps

 1. **Populate with real data**: Run `fetch_congressional_trades.py` regularly
 2. **Set up cron job** for automatic daily updates
 3. **Build analytics** (Phase 2) - abnormal returns, signals
 4. **Create dashboard** (Phase 3) - web interface for exploration

-Ready to build Phase 2 analytics? Just ask! 📈
+Ready to build Phase 2 analytics? Just ask! 

@@ -1,15 +1,15 @@
-# 🚀 POTE Quick Setup Card
+# POTE Quick Setup Card

-## 📍 Your Configuration
+## Your Configuration

 **Email Server:** `mail.levkin.ca`  
 **Email Account:** `test@levkin.ca`  
 **Database:** PostgreSQL (configured)  
-**Status:** ✅ Ready for deployment
+**Status:** Ready for deployment

 ---

-## ⚡ 3-Step Setup
+## 3-Step Setup

 ### Step 1: Add Your Password (30 seconds)

@@ -27,7 +27,7 @@ source venv/bin/activate
 python scripts/send_daily_report.py --to test@levkin.ca --test-smtp
 ```

-✅ **Check test@levkin.ca inbox** - you should receive a test email!
+ **Check test@levkin.ca inbox** - you should receive a test email!

 ### Step 3: Automate (2 minutes)

@@ -37,13 +37,13 @@ python scripts/send_daily_report.py --to test@levkin.ca --test-smtp
 # Choose time: 6 AM (recommended)
 ```

-**Done!** 🎉 You'll now receive:
+**Done!** You'll now receive:
 - Daily reports at 6 AM
 - Weekly reports on Sundays

 ---

-## 📦 Deployment to Proxmox (5 minutes)
+## Deployment to Proxmox (5 minutes)

 ### On Proxmox Host:

@@ -79,7 +79,7 @@ bash scripts/proxmox_setup.sh

 ---

-## 🔍 Quick Commands
+## Quick Commands

 ### On Deployed Server (SSH)

@@ -105,7 +105,7 @@ ls -lh ~/logs/*.txt

 ---

-## 📧 Email Configuration (.env)
+## Email Configuration (.env)

 ```env
 SMTP_HOST=mail.levkin.ca
@@ -123,27 +123,27 @@ REPORT_RECIPIENTS=test@levkin.ca,user2@example.com,user3@example.com

 ---

-## 📊 What You'll Receive
+## What You'll Receive

 ### Daily Report (6 AM)
 ```
-✅ New congressional trades
-✅ Market alerts (unusual activity)
-✅ Suspicious timing detections
-✅ Summary statistics
+ New congressional trades
+ Market alerts (unusual activity)
+ Suspicious timing detections
+ Summary statistics
 ```

 ### Weekly Report (Sunday 8 AM)
 ```
-✅ Most active officials
-✅ Most traded securities
-✅ Repeat offenders
-✅ Pattern analysis
+ Most active officials
+ Most traded securities
+ Repeat offenders
+ Pattern analysis
 ```

 ---

-## 🔧 Troubleshooting
+## Troubleshooting

 ### Email Not Working?

@@ -191,19 +191,19 @@ tail -50 ~/logs/daily_run.log

 ---

-## 📚 Documentation
+## Documentation

 | Document | Purpose |
 |----------|---------|
-| **[EMAIL_SETUP.md](EMAIL_SETUP.md)** | ⭐ Your levkin.ca setup guide |
-| **[DEPLOYMENT_AND_AUTOMATION.md](DEPLOYMENT_AND_AUTOMATION.md)** | ⭐ Answers all questions |
+| **[EMAIL_SETUP.md](EMAIL_SETUP.md)** | Your levkin.ca setup guide |
+| **[DEPLOYMENT_AND_AUTOMATION.md](DEPLOYMENT_AND_AUTOMATION.md)** | Answers all questions |
 | **[AUTOMATION_QUICKSTART.md](AUTOMATION_QUICKSTART.md)** | Quick automation guide |
 | **[PROXMOX_QUICKSTART.md](PROXMOX_QUICKSTART.md)** | Proxmox deployment |
 | **[QUICKSTART.md](QUICKSTART.md)** | Usage guide |

 ---

-## ✅ Checklist
+## Checklist

 **Local Development:**
 - [ ] `.env` file created with password
@@ -227,18 +227,18 @@ tail -50 ~/logs/daily_run.log

 ---

-## 🎯 Your Current Status
+## Your Current Status

-✅ **Code:** Complete (93 tests passing)  
-✅ **Monitoring:** 3-phase system operational  
-✅ **CI/CD:** Pipeline ready (.github/workflows/ci.yml)  
-✅ **Email:** Configured for test@levkin.ca  
+ **Code:** Complete (93 tests passing) 
+ **Monitoring:** 3-phase system operational 
+ **CI/CD:** Pipeline ready (.github/workflows/ci.yml) 
+ **Email:** Configured for test@levkin.ca 
 ⏳ **Deployment:** Ready to deploy to Proxmox  
 ⏳ **Automation:** Ready to set up with `setup_cron.sh`

 ---

-## 🚀 Next Action
+## Next Action

 **Right now (local testing):**
 ```bash
@@ -255,9 +255,9 @@ cd ~/pote
 ./scripts/setup_cron.sh
 ```

-**That's it! 🎉**
+**That's it! **

 ---

-**Everything is ready - just add your password and test!** 📧
+**Everything is ready - just add your password and test!** 

@@ -3,25 +3,25 @@
 **Last Updated**: 2025-12-14  
 **Version**: Phase 1 Complete (PR1 + PR2)

-## 🎉 What's Working Now
+## What's Working Now

 ### Data Ingestion (FREE!)
-✅ **Congressional Trades**: Live ingestion from House Stock Watcher  
-✅ **Stock Prices**: Daily OHLCV from yfinance  
-✅ **Officials**: Auto-populated from trade disclosures  
-✅ **Securities**: Auto-created, ready for enrichment  
+ **Congressional Trades**: Live ingestion from House Stock Watcher 
+ **Stock Prices**: Daily OHLCV from yfinance 
+ **Officials**: Auto-populated from trade disclosures 
+ **Securities**: Auto-created, ready for enrichment 

 ### Database
-✅ **Schema**: Normalized (officials, securities, trades, prices, metrics stubs)  
-✅ **Migrations**: Alembic configured and applied  
-✅ **DB**: SQLite for dev, PostgreSQL-ready  
+ **Schema**: Normalized (officials, securities, trades, prices, metrics stubs) 
+ **Migrations**: Alembic configured and applied 
+ **DB**: SQLite for dev, PostgreSQL-ready 

 ### Code Quality
-✅ **Tests**: 28 passing (86% coverage)  
-✅ **Linting**: ruff + mypy all green  
-✅ **Format**: black applied consistently  
+ **Tests**: 28 passing (86% coverage) 
+ **Linting**: ruff + mypy all green 
+ **Format**: black applied consistently 

-## 📊 Current Stats
+## Current Stats

 ```bash
 # Test Suite
@@ -43,7 +43,7 @@ All free/open-source:
 - pytest (testing)
 ```

-## 🚀 Quick Commands
+## Quick Commands

 ### Fetch Live Data (FREE!)
 ```bash
@@ -75,7 +75,7 @@ make format    # Format with black
 make migrate   # Run Alembic migrations
 ```

-## 🏠 Deployment
+## Deployment

 **Your Proxmox?** Perfect! See [`docs/08_proxmox_deployment.md`](docs/08_proxmox_deployment.md) for:
 - LXC container setup (lightweight, recommended)
@@ -90,7 +90,7 @@ Other options in [`docs/07_deployment.md`](docs/07_deployment.md):
 - Railway/Fly.io - $5-15/mo
 - AWS/GCP - $20-50/mo

-## 📂 Project Structure
+## Project Structure

 ```
 pote/
@@ -138,7 +138,7 @@ pote/
    └── fetch_sample_prices.py         # Live price fetch
 ```

-## 💰 Cost Breakdown
+## Cost Breakdown

 | Component | Cost | Notes |
 |-----------|------|-------|
@@ -154,7 +154,7 @@ Optional paid upgrades (NOT needed):
 - Financial Modeling Prep: $15/mo (250 calls/day free tier available)
 - PostgreSQL hosting: $7+/mo (only if deploying)

-## ✅ Completed PRs
+## Completed PRs

 ### PR1: Project Scaffold + Price Loader
 - [x] Project structure (`src/`, `tests/`, docs)
@@ -176,7 +176,7 @@ Optional paid upgrades (NOT needed):

 **See**: [`docs/PR2_SUMMARY.md`](docs/PR2_SUMMARY.md)

-## 📋 Next Steps (Phase 2 - Analytics)
+## Next Steps (Phase 2 - Analytics)

 ### PR3: Security Enrichment
 - [ ] Enrich securities table with yfinance (names, sectors, exchanges)
@@ -206,20 +206,20 @@ Optional paid upgrades (NOT needed):

 **See**: [`docs/00_mvp.md`](docs/00_mvp.md) for full roadmap

-## 🔬 Research-Only Reminder
+## Research-Only Reminder

 **This tool is for private research and transparency analysis only.**

- ❌ Not investment advice
- ❌ Not a trading system
- ❌ No claims about inside information
- ✅ Public data only
- ✅ Descriptive analytics
- ✅ Research transparency
+- Not investment advice
+- Not a trading system
+- No claims about inside information
+- Public data only
+- Descriptive analytics
+- Research transparency

 See [`docs/04_safety_ethics.md`](docs/04_safety_ethics.md) for guardrails.

-## 🤝 Contributing
+## Contributing

 This is a personal research project, but if you want to use it:

@@ -229,7 +229,7 @@ This is a personal research project, but if you want to use it:
 4. `python scripts/fetch_congressional_trades.py --days 7`
 5. Start exploring!

-## 📄 License
+## License

 MIT License (for research/educational use only)

@@ -1,12 +1,12 @@
 # POTE Testing Status Report
 **Date:** December 15, 2025  
-**Status:** ✅ All Systems Operational - Ready for Deployment
+**Status:** All Systems Operational - Ready for Deployment

 ---

-## 🎯 Test Suite Summary
+## Test Suite Summary

-### **55 Tests - All Passing ✅**
+### **55 Tests - All Passing **

 ```
 Platform: Python 3.13.5, pytest-9.0.2
@@ -18,17 +18,17 @@ Coverage: ~85% overall

 | Module | Tests | Status | Coverage |
 |--------|-------|--------|----------|
-| **Analytics** | 18 tests | ✅ PASS | 80% |
-| **Models** | 7 tests | ✅ PASS | 90% |
-| **Ingestion** | 14 tests | ✅ PASS | 85% |
-| **Price Loader** | 8 tests | ✅ PASS | 90% |
-| **Security Enricher** | 8 tests | ✅ PASS | 85% |
+| **Analytics** | 18 tests | PASS | 80% |
+| **Models** | 7 tests | PASS | 90% |
+| **Ingestion** | 14 tests | PASS | 85% |
+| **Price Loader** | 8 tests | PASS | 90% |
+| **Security Enricher** | 8 tests | PASS | 85% |

 ---

-## 📊 What's Been Tested?
+## What's Been Tested?

-### ✅ Core Database Operations
+### Core Database Operations
 - [x] Creating and querying Officials
 - [x] Creating and querying Securities  
 - [x] Creating and querying Trades
@@ -36,7 +36,7 @@ Coverage: ~85% overall
 - [x] Unique constraints and relationships
 - [x] Database migrations (Alembic)

-### ✅ Data Ingestion
+### Data Ingestion
 - [x] House Stock Watcher client (with fixtures)
 - [x] Trade loading from JSON
 - [x] Security enrichment from yfinance
@@ -44,7 +44,7 @@ Coverage: ~85% overall
 - [x] Idempotent operations (no duplicates)
 - [x] Error handling for missing/invalid data

-### ✅ Analytics Engine
+### Analytics Engine
 - [x] Return calculations (buy trades)
 - [x] Return calculations (sell trades)
 - [x] Multiple time windows (30/60/90/180 days)
@@ -56,7 +56,7 @@ Coverage: ~85% overall
 - [x] Top performer rankings
 - [x] System-wide statistics

-### ✅ Edge Cases
+### Edge Cases
 - [x] Missing price data handling
 - [x] Trades with no exit price yet
 - [x] Sell trades (inverted returns)
@@ -67,7 +67,7 @@ Coverage: ~85% overall

 ---

-## 🧪 Test Types
+## Test Types

 ### 1. Unit Tests (Fast, Isolated)
 **Location:** `tests/test_*.py` (excluding integration)  
@@ -100,7 +100,7 @@ Coverage: ~85% overall

 ---

-## 🔧 How to Run Tests Locally
+## How to Run Tests Locally

 ### Quick Test
 ```bash
@@ -136,7 +136,7 @@ ptw

 ---

-## 🚨 Known Limitations
+## Known Limitations

 ### 1. External API Dependency
 **Issue:** House Stock Watcher API is currently DOWN  
@@ -161,7 +161,7 @@ ptw

 ---

-## 📈 Performance Benchmarks
+## Performance Benchmarks

 ### Test Execution Time
 - **Full suite:** 1.8 seconds
@@ -178,7 +178,7 @@ ptw

 ---

-## 🎯 Pre-Deployment Checklist
+## Pre-Deployment Checklist

 ### Before Deploying to Proxmox:

@@ -215,7 +215,7 @@ python scripts/enrich_securities.py

 ---

-## 🔄 Continuous Testing
+## Continuous Testing

 ### Git Pre-Commit Hook (Optional)
 ```bash
@@ -247,7 +247,7 @@ jobs:

 ---

-## 📝 Test Maintenance
+## Test Maintenance

 ### Adding New Tests

@@ -281,36 +281,36 @@ Fixtures are in `tests/conftest.py`:

 ---

-## 🎉 Summary
+## Summary

-### Current Status: **PRODUCTION READY** ✅
+### Current Status: **PRODUCTION READY**

 **What Works:**
- ✅ All 55 tests passing
- ✅ Full analytics pipeline functional
- ✅ Database operations solid
- ✅ Data ingestion from multiple sources
- ✅ Price fetching from yfinance
- ✅ Security enrichment
- ✅ Return calculations
- ✅ Benchmark comparisons
- ✅ Performance metrics
- ✅ CLI scripts operational
+- All 55 tests passing
+- Full analytics pipeline functional
+- Database operations solid
+- Data ingestion from multiple sources
+- Price fetching from yfinance
+- Security enrichment
+- Return calculations
+- Benchmark comparisons
+- Performance metrics
+- CLI scripts operational

 **What's Missing:**
- ❌ Live congressional trade API (external issue - House Stock Watcher down)
+- Live congressional trade API (external issue - House Stock Watcher down)
  - **Workaround:** Manual import, CSV, or alternative APIs available

 **Next Steps:**
-1. ✅ Tests are complete
-2. ✅ Code is ready
-3. ➡️ **Deploy to Proxmox** (or continue with Phase 2 features)
-4. ➡️ Add more data sources
-5. ➡️ Build dashboard (Phase 3)
+1. Tests are complete
+2. Code is ready
+3. **Deploy to Proxmox** (or continue with Phase 2 features)
+4. Add more data sources
+5. Build dashboard (Phase 3)

 ---

-## 📞 Need Help?
+## Need Help?

 See:
 - `LOCAL_TEST_GUIDE.md` - Detailed local testing instructions
@@ -1,6 +1,6 @@
 # POTE Watchlist & Trading Reports

-## 🎯 Get Trading Reports 1 Hour Before Market Close
+## Get Trading Reports 1 Hour Before Market Close

 ### Quick Setup

@@ -25,7 +25,7 @@ crontab -e

 ---

-## 📋 Watchlist System
+## Watchlist System

 ### Who's on the Default Watchlist?

@@ -48,7 +48,7 @@ crontab -e

 ---

-## 🔧 Managing Your Watchlist
+## Managing Your Watchlist

 ### View Current Watchlist

@@ -104,7 +104,7 @@ This fetches all 535 members of Congress (100 Senate + 435 House).

 ---

-## 📊 Generating Reports
+## Generating Reports

 ### Manual Report Generation

@@ -135,24 +135,24 @@ python scripts/generate_trading_report.py --format json --output report.json
 ================================================================================

 ────────────────────────────────────────────────────────────────────────────────
-👤 Nancy Pelosi (D-CA, House)
+ Nancy Pelosi (D-CA, House)
 ────────────────────────────────────────────────────────────────────────────────
 Side      Ticker  Company                     Sector        Value              Trade Date  Filed
 --------  ------  --------------------------  ----------  -------------------  ----------  ----------
-🟢 BUY     NVDA    NVIDIA Corporation          Technology  $15,001 - $50,000   2024-11-15  2024-12-01
-🔴 SELL    MSFT    Microsoft Corporation       Technology  $50,001 - $100,000  2024-11-20  2024-12-01
+ BUY NVDA NVIDIA Corporation Technology $15,001 - $50,000 2024-11-15 2024-12-01
+ SELL MSFT Microsoft Corporation Technology $50,001 - $100,000 2024-11-20 2024-12-01

 ────────────────────────────────────────────────────────────────────────────────
-👤 Tommy Tuberville (R-AL, Senate)
+ Tommy Tuberville (R-AL, Senate)
 ────────────────────────────────────────────────────────────────────────────────
 Side      Ticker  Company                     Sector        Value              Trade Date  Filed
 --------  ------  --------------------------  ----------  -------------------  ----------  ----------
-🟢 BUY     SPY     SPDR S&P 500 ETF            Financial   $100,001 - $250,000 2024-11-18  2024-12-02
-🟢 BUY     AAPL    Apple Inc.                  Technology  $50,001 - $100,000  2024-11-22  2024-12-02
-🔴 SELL    TSLA    Tesla, Inc.                 Automotive  $15,001 - $50,000   2024-11-25  2024-12-02
+ BUY SPY SPDR S&P 500 ETF Financial $100,001 - $250,000 2024-11-18 2024-12-02
+ BUY AAPL Apple Inc. Technology $50,001 - $100,000 2024-11-22 2024-12-02
+ SELL TSLA Tesla, Inc. Automotive $15,001 - $50,000 2024-11-25 2024-12-02

 ================================================================================
-📊 SUMMARY
+ SUMMARY
 ================================================================================

 Total Trades:    5
@@ -223,7 +223,7 @@ Runs at 8 AM and 3 PM daily (weekdays).

 ---

-## 📧 Email Reports (Optional)
+## Email Reports (Optional)

 ### Setup Email Notifications

@@ -256,7 +256,7 @@ python scripts/send_email.py /tmp/report.html your-email@example.com

 ---

-## 🎯 Typical Workflow
+## Typical Workflow

 ### Daily Routine (3 PM ET)

@@ -282,7 +282,7 @@ python scripts/send_email.py /tmp/report.html your-email@example.com

 ---

-## 🔍 Finding More Officials
+## Finding More Officials

 ### Public Resources

@@ -318,7 +318,7 @@ Add committee members to your watchlist.

 ---

-## 📈 Example Cron Setup
+## Example Cron Setup

 ```bash
 # Edit crontab
@@ -341,7 +341,7 @@ This gives you:

 ---

-## 🚀 Quick Start Summary
+## Quick Start Summary

 ```bash
 # 1. Create watchlist
@@ -363,7 +363,7 @@ cat reports/trading_report_$(date +%Y%m%d).txt

 ---

-## ❓ FAQ
+## FAQ

 **Q: Why are all the trades old (30-45 days)?**  
 **A:** Federal law (STOCK Act) gives Congress 30-45 days to file. This is normal.
@@ -1,8 +1,8 @@
-# 🎉 POTE Monitoring System - ALL PHASES COMPLETE!
+# POTE Monitoring System - ALL PHASES COMPLETE!

-## ✅ **What Was Built (3 Phases)**
+## **What Was Built (3 Phases)**

-### **Phase 1: Real-Time Market Monitoring** ✅
+### **Phase 1: Real-Time Market Monitoring**
 **Detects unusual market activity in congressional tickers**

 **Features:**
@@ -20,11 +20,11 @@
 - `MarketAlert` model - Database storage
 - `monitor_market.py` - CLI tool

-**Tests:** 14 passing ✅
+**Tests:** 14 passing 

 ---

-### **Phase 2: Disclosure Timing Correlation** ✅
+### **Phase 2: Disclosure Timing Correlation**
 **Matches trades to prior market alerts when disclosures appear**

 **Features:**
@@ -50,11 +50,11 @@
 - `DisclosureCorrelator` - Correlation engine
 - `analyze_disclosure_timing.py` - CLI tool

-**Tests:** 13 passing ✅
+**Tests:** 13 passing 

 ---

-### **Phase 3: Pattern Detection & Rankings** ✅
+### **Phase 3: Pattern Detection & Rankings**
 **Cross-official analysis and comparative rankings**

 **Features:**
@@ -71,19 +71,19 @@
 - `PatternDetector` - Pattern analysis engine
 - `generate_pattern_report.py` - CLI tool

-**Tests:** 11 passing ✅
+**Tests:** 11 passing 

 ---

-## 📊 **Complete System Architecture**
+## **Complete System Architecture**

 ```
 ┌─────────────────────────────────────────────────────────────┐
 │  PHASE 1: Real-Time Monitoring                              │
 │  ────────────────────────────────────                       │
-│  🔔 Monitor congressional tickers                            │
-│  📊 Detect unusual activity                                  │
-│  💾 Log alerts to database                                   │
+│ Monitor congressional tickers │
+│ Detect unusual activity │
+│ Log alerts to database │
 └─────────────────────────────────────────────────────────────┘
                            ↓
                     [30-45 days pass]
@@ -91,25 +91,25 @@
 ┌─────────────────────────────────────────────────────────────┐
 │  PHASE 2: Disclosure Correlation                            │
 │  ───────────────────────────────                           │
-│  📋 New congressional trades filed                          │
-│  🔗 Match to prior alerts                                   │
-│  📈 Calculate timing scores                                  │
-│  🚩 Flag suspicious trades                                   │
+│ New congressional trades filed │
+│ Match to prior alerts │
+│ Calculate timing scores │
+│ Flag suspicious trades │
 └─────────────────────────────────────────────────────────────┘
                            ↓
 ┌─────────────────────────────────────────────────────────────┐
 │  PHASE 3: Pattern Detection                                 │
 │  ──────────────────────────                                │
-│  📊 Rank officials by timing                                │
-│  🔥 Identify repeat offenders                               │
-│  📈 Compare parties, sectors, tickers                        │
-│  📋 Generate comprehensive reports                           │
+│ Rank officials by timing │
+│ Identify repeat offenders │
+│ Compare parties, sectors, tickers │
+│ Generate comprehensive reports │
 └─────────────────────────────────────────────────────────────┘
 ```

 ---

-## 🚀 **Usage Guide**
+## **Usage Guide**

 ### **1. Set Up Monitoring (Run Daily)**

@@ -169,7 +169,7 @@ python scripts/generate_pattern_report.py --days 365 --format json --output patt

 ---

-## 📋 **Example Reports**
+## **Example Reports**

 ### **Timing Analysis Report**

@@ -179,7 +179,7 @@ python scripts/generate_pattern_report.py --days 365 --format json --output patt
  3 Trades with Timing Advantages Detected
 ================================================================================

-🚨 #1 - HIGHLY SUSPICIOUS (Timing Score: 85/100)
+ #1 - HIGHLY SUSPICIOUS (Timing Score: 85/100)
 ────────────────────────────────────────────────────────────────────────────────
 Official:    Nancy Pelosi
 Ticker:      NVDA
@@ -187,16 +187,16 @@ Side:        BUY
 Trade Date:  2024-01-15
 Value:       $15,001-$50,000

-📊 Timing Analysis:
+ Timing Analysis:
   Prior Alerts:        3
   Recent Alerts (7d):  2
   High Severity:       2
   Avg Severity:        7.5/10

-💡 Assessment: Trade occurred after 3 alerts, including 2 high-severity.
+ Assessment: Trade occurred after 3 alerts, including 2 high-severity.
               High likelihood of timing advantage.

-🔔 Prior Market Alerts:
+ Prior Market Alerts:
 Timestamp            Type             Severity  Timing
 2024-01-12 10:30:00  Unusual Volume   8/10      3 days before
 2024-01-13 14:15:00  Price Spike      7/10      2 days before
@@ -211,27 +211,27 @@ Timestamp            Type             Severity  Timing
  Period: 365 days
 ================================================================================

-📊 SUMMARY
+ SUMMARY
 ────────────────────────────────────────────────────────────────────────────────
 Officials Analyzed:        45
 Repeat Offenders:          8
 Average Timing Score:      42.3/100

-🚨 TOP 10 MOST SUSPICIOUS OFFICIALS (By Timing Score)
+ TOP 10 MOST SUSPICIOUS OFFICIALS (By Timing Score)
 ================================================================================

 Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate    Avg Score
 ────  ───────────────────────  ───────────  ───────  ──────  ──────────  ──────  ─────────
-🚨 1   Tommy Tuberville         R-AL         Senate   47      35/47       74.5%   72.5/100
-🚨 2   Nancy Pelosi             D-CA         House    38      28/38       73.7%   71.2/100
-🔴 3   Dan Crenshaw             R-TX         House    25      15/25       60.0%   65.8/100
-🔴 4   Marjorie Taylor Greene   R-GA         House    19      11/19       57.9%   63.2/100
-🟡 5   Josh Gottheimer          D-NJ         House    31      14/31       45.2%   58.7/100
+ 1 Tommy Tuberville R-AL Senate 47 35/47 74.5% 72.5/100
+ 2 Nancy Pelosi D-CA House 38 28/38 73.7% 71.2/100
+ 3 Dan Crenshaw R-TX House 25 15/25 60.0% 65.8/100
+ 4 Marjorie Taylor Greene R-GA House 19 11/19 57.9% 63.2/100
+ 5 Josh Gottheimer D-NJ House 31 14/31 45.2% 58.7/100

-🔥 REPEAT OFFENDERS (50%+ Suspicious Trades)
+ REPEAT OFFENDERS (50%+ Suspicious Trades)
 ================================================================================

-🚨 Tommy Tuberville (R-AL, Senate)
+ Tommy Tuberville (R-AL, Senate)
   Trades: 47 | Suspicious: 35 (74.5%)
   Avg Timing Score: 72.5/100
   Pattern: HIGHLY SUSPICIOUS - Majority of trades show timing advantage
@@ -239,9 +239,9 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 📈 **Test Coverage**
+## **Test Coverage**

-**Total: 93 tests, all passing ✅**
+**Total: 93 tests, all passing **

 - **Phase 1 (Monitoring):** 14 tests
 - **Phase 2 (Correlation):** 13 tests
@@ -252,7 +252,7 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 🎯 **Key Insights the System Provides**
+## **Key Insights the System Provides**

 ### **1. Individual Official Analysis**
 - Which officials consistently trade before unusual activity?
@@ -282,7 +282,7 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 🔧 **Automated Workflow**
+## **Automated Workflow**

 ### **Daily Routine (Recommended)**

@@ -299,7 +299,7 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 📊 **Database Schema**
+## **Database Schema**

 **New Table: `market_alerts`**
 ```sql
@@ -315,7 +315,7 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 🎓 **Interpretation Guide**
+## **Interpretation Guide**

 ### **Timing Scores**
 - **80-100:** Highly suspicious - Multiple high-severity alerts before trade
@@ -337,15 +337,15 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## ⚠️ **Important Disclaimers**
+## **Important Disclaimers**

 ### **Legal & Ethical**
-1. ✅ All data is public and legally obtained
-2. ✅ Analysis is retrospective (30-45 day lag)
-3. ✅ For research and transparency only
-4. ❌ NOT investment advice
-5. ❌ NOT proof of illegal activity (requires investigation)
-6. ❌ Statistical patterns ≠ legal evidence
+1. All data is public and legally obtained
+2. Analysis is retrospective (30-45 day lag)
+3. For research and transparency only
+4. NOT investment advice
+5. NOT proof of illegal activity (requires investigation)
+6. Statistical patterns ≠ legal evidence

 ### **Technical Limitations**
 1. Cannot identify WHO is trading in real-time
@@ -356,7 +356,7 @@ Rank  Official                 Party-State  Chamber  Trades  Suspicious  Rate

 ---

-## 🚀 **Deployment Checklist**
+## **Deployment Checklist**

 ### **On Proxmox Container**

@@ -383,7 +383,7 @@ python scripts/generate_pattern_report.py --days 365

 ---

-## 📚 **Documentation**
+## **Documentation**

 - **`docs/11_live_market_monitoring.md`** - Deep dive into monitoring
 - **`LOCAL_TEST_GUIDE.md`** - Testing instructions
@@ -392,23 +392,23 @@ python scripts/generate_pattern_report.py --days 365

 ---

-## 🎉 **Achievement Unlocked!**
+## **Achievement Unlocked!**

 **You now have a complete system that:**

-✅ Monitors real-time market activity  
-✅ Correlates trades to prior alerts  
-✅ Calculates timing advantage scores  
-✅ Identifies repeat offenders  
-✅ Ranks officials by suspicion  
-✅ Generates comprehensive reports  
-✅ 93 tests confirming it works  
+ Monitors real-time market activity 
+ Correlates trades to prior alerts 
+ Calculates timing advantage scores 
+ Identifies repeat offenders 
+ Ranks officials by suspicion 
+ Generates comprehensive reports 
+ 93 tests confirming it works 

-**This is a production-ready transparency and research tool!** 🚀
+**This is a production-ready transparency and research tool!** 

 ---

-## 🔜 **Potential Future Enhancements**
+## **Potential Future Enhancements**

 ### **Phase 4 Ideas (Optional)**
 - Email/SMS alerts for high-severity patterns
@@ -420,6 +420,6 @@ python scripts/generate_pattern_report.py --days 365
 - Automated PDF reports
 - Historical performance tracking

-**But the core system is COMPLETE and FUNCTIONAL now!** ✅
+**But the core system is COMPLETE and FUNCTIONAL now!** 


@@ -1,6 +1,6 @@
 # PR1 Summary: Project Scaffold + DB + Price Loader

-**Status**: ✅ Complete  
+**Status**: Complete 
 **Date**: 2025-12-13

 ## What was built
@@ -36,7 +36,7 @@ Includes proper indexes, unique constraints, and relationships.
 - `tests/conftest.py`: fixtures for in-memory DB, sample officials/securities/trades/prices
 - `tests/test_models.py`: model creation, relationships, unique constraints, queries (7 tests)
 - `tests/test_price_loader.py`: loader logic, idempotency, upsert, mocking yfinance (8 tests)
- **Result**: 15 tests, all passing ✅
+- **Result**: 15 tests, all passing 

 ### 6. Tooling
 - **Black** + **ruff** configured and run (all code formatted + linted)
@@ -1,6 +1,6 @@
 # PR2 Summary: Congressional Trade Ingestion

-**Status**: ✅ Complete  
+**Status**: Complete 
 **Date**: 2025-12-14

 ## What was built
@@ -26,7 +26,7 @@
 - `tests/fixtures/sample_house_watcher.json`: 5 realistic sample transactions
 - Includes House + Senate, Democrats + Republicans, various tickers

-### 4. Tests (13 new tests, all passing ✅)
+### 4. Tests (13 new tests, all passing )
 **`tests/test_house_watcher.py` (8 tests)**:
 - Amount range parsing (with range, single value, invalid)
 - Transaction type normalization
@@ -58,9 +58,9 @@
 python scripts/fetch_congressional_trades.py --days 30

 # Sample output:
-# ✓ Officials created/updated: 47
-# ✓ Securities created/updated: 89
-# ✓ Trades ingested: 234
+# Officials created/updated: 47
+# Securities created/updated: 89
+# Trades ingested: 234
 ```

 ### Database Queries
@@ -1,6 +1,6 @@
 # PR3 Summary: Security Enrichment + Deployment

-**Status**: ✅ Complete  
+**Status**: Complete 
 **Date**: 2025-12-14

 ## What was built
@@ -32,7 +32,7 @@
  python scripts/enrich_securities.py --force
  ```

-### 3. Tests (9 new tests, all passing ✅)
+### 3. Tests (9 new tests, all passing )
 **`tests/test_security_enricher.py`**:
 - Successful enrichment with complete data
 - ETF detection and classification
@@ -72,7 +72,7 @@ python scripts/enrich_securities.py
 # Enriched AAPL: Apple Inc. (Technology)
 # Enriched TSLA: Tesla, Inc. (Consumer Cyclical)
 # Enriched GOOGL: Alphabet Inc. (Communication Services)
-# ✓ Successfully enriched: 5
+# Successfully enriched: 5
 ```

 ### Query Enriched Data
@@ -159,10 +159,10 @@ python scripts/update_all_prices.py  # To be built in PR4

 | Option | Complexity | Cost/month | Best For |
 |--------|-----------|------------|----------|
-| **Local** | ⭐ | $0 | Development |
-| **VPS + Docker** | ⭐⭐ | $10-20 | Personal deployment |
-| **Railway/Fly.io** | ⭐ | $5-15 | Easy cloud |
-| **AWS** | ⭐⭐⭐ | $20-50 | Scalable production |
+| **Local** | | $0 | Development |
+| **VPS + Docker** | | $10-20 | Personal deployment |
+| **Railway/Fly.io** | | $5-15 | Easy cloud |
+| **AWS** | | $20-50 | Scalable production |

 See [`docs/07_deployment.md`](07_deployment.md) for detailed guides.

@@ -1,6 +1,6 @@
 # PR4 Summary: Phase 2 Analytics Foundation

-## ✅ Completed
+## Completed

 **Date**: December 15, 2025  
 **Status**: Complete  
@@ -78,14 +78,14 @@ python scripts/calculate_all_returns.py --window 90 --benchmark SPY --top 10

 ### 3. Tests (`tests/test_analytics.py`)

- ✅ Return calculator with sample data
- ✅ Buy vs sell trade handling
- ✅ Missing data edge cases
- ✅ Benchmark comparisons
- ✅ Official performance metrics
- ✅ Multiple time windows
- ✅ Sector analysis
- ✅ Timing analysis
+- Return calculator with sample data
+- Buy vs sell trade handling
+- Missing data edge cases
+- Benchmark comparisons
+- Official performance metrics
+- Multiple time windows
+- Sector analysis
+- Timing analysis

 **Test Coverage**: Analytics module fully tested

@@ -288,15 +288,15 @@ with next(get_session()) as session:
   - Trades near policy events
   - Unusual timing flags

-## Success Criteria ✅
+## Success Criteria

- ✅ Can calculate returns for any trade + window
- ✅ Can compare to S&P 500 benchmark
- ✅ Can generate official performance summaries
- ✅ All calculations tested and accurate
- ✅ Performance data calculated on-the-fly
- ✅ Documentation complete
- ✅ Command-line tools working
+- Can calculate returns for any trade + window
+- Can compare to S&P 500 benchmark
+- Can generate official performance summaries
+- All calculations tested and accurate
+- Performance data calculated on-the-fly
+- Documentation complete
+- Command-line tools working

 ## Testing

@@ -309,7 +309,7 @@ All analytics tests should pass (may have warnings if no price data).

 ---

-**Phase 2 Analytics Foundation: COMPLETE** ✅  
+**Phase 2 Analytics Foundation: COMPLETE** 
 **Ready for**: PR5 (Signals), PR6 (API), PR7 (Dashboard)


@@ -0,0 +1,3 @@
+# Archive
+
+PR summaries and one-shot status writeups. Prefer the numbered guides and QUICKSTART files.