# Phase 38: Multi-Timeframe Analysis — COMPLETE ✅
## Build Date
February 24, 2026
## What Was Built
### 1. Python Module: `modules/multi_timeframe.py` (476 LOC)
**Features:**
- RSI, MACD, SMA calculations across daily, weekly, and monthly timeframes
- Signal confluence scoring (agreement across timeframes)
- Trend alignment detection (all timeframes aligned in same direction)
- Comprehensive technical analysis for each timeframe
**Classes:**
- `TechnicalIndicators` — Core indicator calculations (RSI, MACD, SMA, EMA)
- `TimeframeAnalyzer` — Single timeframe analysis with signal generation
- `MultiTimeframeAnalysis` — Combines multiple timeframes with confluence scoring
### 2. CLI Commands (via `cli.py`)
All three commands working and tested:
```bash
# Full multi-timeframe analysis
python cli.py mtf SYMBOL
# Check trend alignment across timeframes
python cli.py trend-alignment SYMBOL
# Calculate signal confluence with trading recommendation
python cli.py signal-confluence SYMBOL
```
### 3. API Routes: `src/app/api/v1/multi-timeframe/route.ts`
Three endpoints created (will work after Next.js restart):
```
GET /api/v1/multi-timeframe?action=mtf&ticker=AAPL
GET /api/v1/multi-timeframe?action=trend-alignment&ticker=AAPL
GET /api/v1/multi-timeframe?action=signal-confluence&ticker=AAPL
```
### 4. Service Registration
- ✅ Updated `src/app/services.ts` — Added multi_timeframe service
- ✅ Updated `src/app/roadmap.ts` — Marked Phase 38 as "done" with 476 LOC
## Test Results
### Test 1: Multi-Timeframe Analysis (TSLA)
```json
{
"symbol": "TSLA",
"timeframes": {
"daily": { "overall_signal": "neutral" },
"weekly": { "overall_signal": "bearish" },
"monthly": { "overall_signal": "neutral" }
}
}
```
### Test 2: Trend Alignment (SPY)
```json
{
"symbol": "SPY",
"alignment_status": "misaligned",
"trend_direction": "neutral",
"confidence": "low"
}
```
### Test 3: Signal Confluence (MSFT)
```json
{
"symbol": "MSFT",
"recommendation": "SELL",
"confluence_score": -0.67,
"agreement_level": "moderate_agreement"
}
```
### Test 4: Signal Confluence (NVDA)
```json
{
"symbol": "NVDA",
"recommendation": "HOLD",
"confluence_score": 0.33,
"agreement_level": "no_agreement"
}
```
### Test 5: Multi-Timeframe Analysis (AAPL)
```json
{
"symbol": "AAPL",
"timeframes": {
"daily": {
"price": 272.62,
"rsi": 52.83,
"overall_signal": "bullish",
"signal_strength": 1.0
},
"weekly": {
"price": 272.62,
"rsi": 50.65,
"overall_signal": "neutral",
"signal_strength": 0.33
},
"monthly": {
"price": 272.62,
"rsi": 56.85,
"overall_signal": "neutral",
"signal_strength": 0.5
}
}
}
```
## Technical Implementation
### Data Sources
- **yfinance** — Free API for historical price data
- **Daily data** — 2 years of 1-day interval data
- **Weekly data** — Resampled from daily (Friday close)
- **Monthly data** — Resampled from daily (month-end close)
### Indicators Calculated Per Timeframe
1. **RSI (14-period)** — Oversold (<30), Overbought (>70), Neutral
2. **MACD (12,26,9)** — Bullish (MACD > Signal), Bearish (MACD < Signal)
3. **SMA (20, 50, 200)** — Trend direction, Golden/Death cross detection
### Signal Generation Logic
**Signal Confluence:**
- 3/3 timeframes bullish → `STRONG BUY` (confluence_score = 1.0)
- 2/3 timeframes bullish → `BUY` (confluence_score > 0.33)
- 2/3 timeframes bearish → `SELL` (confluence_score < -0.33)
- 3/3 timeframes bearish → `STRONG SELL` (confluence_score = -1.0)
- Otherwise → `HOLD`
**Trend Alignment:**
- All 3 timeframes in same trend → `fully_aligned` (high confidence)
- 2 of 3 timeframes aligned → `partially_aligned` (medium confidence)
- Otherwise → `misaligned` (low confidence)
## Files Modified
1. `/home/quant/apps/quantclaw-data/modules/multi_timeframe.py` — **NEW** (476 LOC)
2. `/home/quant/apps/quantclaw-data/src/app/api/v1/multi-timeframe/route.ts` — **NEW**
3. `/home/quant/apps/quantclaw-data/cli.py` — **UPDATED** (added multi_timeframe commands)
4. `/home/quant/apps/quantclaw-data/src/app/services.ts` — **UPDATED** (added service entry)
5. `/home/quant/apps/quantclaw-data/src/app/roadmap.ts` — **UPDATED** (marked Phase 38 done)
## Next Steps (Optional)
To enable API routes:
```bash
cd /home/quant/apps/quantclaw-data
pm2 restart terminalx
# OR
npm run build && pm2 restart terminalx
```
API routes will then be accessible at:
- `http://localhost:3030/api/v1/multi-timeframe?action=mtf&ticker=AAPL`
- `http://localhost:3030/api/v1/multi-timeframe?action=trend-alignment&ticker=AAPL`
- `http://localhost:3030/api/v1/multi-timeframe?action=signal-confluence&ticker=AAPL`
## Notes
- ✅ All CLI commands tested and working
- ✅ Real data from yfinance (no API key required)
- ✅ Comprehensive multi-timeframe analysis with RSI, MACD, SMA
- ✅ Signal confluence scoring implemented
- ✅ Trend alignment detection implemented
- ✅ Services and roadmap updated
- ⏳ API routes created (will work after Next.js restart)
- ✅ No Next.js rebuild performed (as instructed)
## Code Quality
- Proper error handling for missing data
- Type hints throughout
- Docstrings for all classes and methods
- JSON output for easy parsing
- Handles edge cases (insufficient data for 200-SMA, etc.)
- Follows existing module patterns (kalman_filter.py, walk_forward.py, etc.)
---
**Phase 38: Multi-Timeframe Analysis — ✅ DONE**
