docs: MANDATORY copilot-instructions.md updates + 1-min data direction field

CRITICAL: Added iron-clad rule that copilot-instructions.md MUST be updated
for every significant change. User is 'sick and tired' of reminding.

New mandatory section explains:
- When to update this file (8 specific scenarios)
- Why it's the primary knowledge base for future developers
- Automatic workflow: Change → Code → Test → Update Docs → Commit

1-Minute Data Collection documented:
- Direction field is meaningless (TradingView artifact)
- Analysis should ignore direction for timeframe='1'
- Focus on ADX/ATR/RSI/volume/price position metrics
- Example correct vs wrong SQL queries

This is NON-NEGOTIABLE going forward.

.github/copilot-instructions.md

@@ -137,6 +137,77 @@ User relies on roadmap for strategic planning. Wrong roadmap = wrong decisions =
 
 ---
 
+## 📝 MANDATORY: COPILOT-INSTRUCTIONS.MD UPDATES - ABSOLUTE REQUIREMENT
+
+**⚠️ CRITICAL: THIS IS NON-NEGOTIABLE - USER IS "SICK AND TIRED" OF REMINDING ⚠️**
+
+### IRON-CLAD RULE: UPDATE THIS FILE FOR EVERY SIGNIFICANT CHANGE
+
+**When to update .github/copilot-instructions.md (MANDATORY):**
+
+1. **New system behaviors discovered** (like 1-minute signal direction field artifacts)
+2. **Data integrity requirements** (what fields are meaningful vs meaningless)
+3. **Analysis patterns** (how to query data correctly, what to filter out)
+4. **Architecture changes** (new components, integrations, data flows)
+5. **Database schema additions** (new tables, fields, their purpose and usage)
+6. **Configuration patterns** (ENV variables, feature flags, precedence rules)
+7. **Common mistakes** (add to Common Pitfalls section immediately)
+8. **Verification procedures** (how to test features, what to check)
+
+**This file is the PRIMARY KNOWLEDGE BASE for all future AI agents and developers.**
+
+**What MUST be documented here:**
+- ✅ Why things work the way they do (not just what they do)
+- ✅ What fields/data should be filtered out in analysis
+- ✅ How to correctly query and interpret database data
+- ✅ Known artifacts and quirks (like direction field in 1-min signals)
+- ✅ Data collection vs trading signal distinctions
+- ✅ When features are truly deployed vs just committed
+
+**DO NOT make user remind you to update this file. It's AUTOMATIC:**
+```
+Change → Code → Test → Git Commit → UPDATE COPILOT-INSTRUCTIONS.MD → Git Commit
+```
+
+**If you implement something without documenting it here, the work is INCOMPLETE.**
+
+---
+
+## 📊 1-Minute Data Collection System (Nov 27, 2025)
+
+**Purpose:** Real-time market data collection via TradingView 1-minute alerts for Phase 7.1/7.2/7.3 enhancements
+
+**Data Flow:**
+- TradingView 1-minute chart → Alert fires every minute with metrics
+- n8n Parse Signal Enhanced → Bot execute endpoint
+- Timeframe='1' detected → Saved to BlockedSignal (DATA_COLLECTION_ONLY)
+- Market data cache updated every 60 seconds
+- Used by: Smart Entry Timer validation, Revenge system ADX checks, Adaptive trailing stops
+
+**CRITICAL: Direction Field is Meaningless**
+- All 1-minute signals in BlockedSignal have `direction='long'` populated
+- This is an **artifact of TradingView alert syntax** (requires buy/sell trigger word to fire)
+- These are **NOT trading signals** - they are pure market data samples
+- **For analysis:** ALWAYS filter out or ignore direction field for timeframe='1'
+- **Focus on:** ADX, ATR, RSI, volumeRatio, pricePosition (actual market conditions)
+- **Example wrong query:** `WHERE timeframe='1' AND direction='long' AND signalQualityScore >= 90`
+- **Example correct query:** `WHERE timeframe='1' AND signalQualityScore >= 90` (no direction filter)
+
+**Database Fields:**
+- `timeframe='1'` → 1-minute data collection
+- `blockReason='DATA_COLLECTION_ONLY'` → Not a blocked trade, just data sample
+- `direction='long'` → IGNORE THIS (TradingView artifact, not real direction)
+- `signalQualityScore` → Quality score calculated but NOT used for execution threshold
+- `adx`, `atr`, `rsi`, `volumeRatio`, `pricePosition` → **THESE ARE THE REAL DATA**
+
+**Why This Matters:**
+- Prevents confusion when analyzing 1-minute data
+- Ensures correct SQL queries for market condition analysis
+- Direction-based analysis on 1-min data is meaningless and misleading
+- Future developers won't waste time investigating "why all signals are long"
+
+---
+
 ## Mission & Financial Goals
 
 **Primary Objective:** Build wealth systematically from $106 → $100,000+ through algorithmic trading