STOCKSUNIFY 📈
Unified Stock Analysis & Daily Picks
This repository consolidates stock analysis data, algorithms, and daily picks from multiple AI-validated sources.
🌐 Live Site
GitHub Pages: View Live Site
Find Stocks Page: findtorontoevents.ca/findstocks
📊 Daily Stock Picks
Last Updated: 2026-01-27, 9:50:07 p.m.
Total Picks: 30
Data Source: data/daily-stocks.json
Summary by Rating
- STRONG BUY: 9
- BUY: 20
- HOLD: 1
Technical Momentum
Total Picks: 17
3D Timeframe (6 picks)
Last updated: 2026-01-27, 9:50:07 p.m.
| Symbol |
Name |
Score |
Rating |
Risk |
Key Indicators |
| GM |
General Motors Company |
100/100 |
STRONG BUY |
High |
RSI: 59, Vol: 2.33x, Breakout, Bollinger Squeeze |
| PFE |
Pfizer Inc. |
85/100 |
STRONG BUY |
High |
RSI: 65, Vol: 1.42x, Breakout, Bollinger Squeeze |
| MSFT |
Microsoft Corporation |
55/100 |
BUY |
High |
RSI: 51, Vol: 1.17x, Breakout |
| GOOGL |
Alphabet Inc. |
55/100 |
BUY |
High |
RSI: 69, Vol: 0.54x, Breakout, Bollinger Squeeze |
| AMZN |
Amazon.com, Inc. |
55/100 |
BUY |
High |
RSI: 54, Vol: 0.93x, Breakout, Bollinger Squeeze |
| META |
Meta Platforms, Inc. |
55/100 |
BUY |
High |
RSI: 54, Vol: 0.81x, Breakout |
7D Timeframe (6 picks)
Last updated: 2026-01-27, 9:50:07 p.m.
| Symbol |
Name |
Score |
Rating |
Risk |
Key Indicators |
| PFE |
Pfizer Inc. |
80/100 |
STRONG BUY |
High |
RSI: 65, Vol: 1.42x, Breakout, Bollinger Squeeze |
| F |
Ford Motor Company |
80/100 |
STRONG BUY |
High |
RSI: 52, Vol: 1.81x, Bollinger Squeeze |
| GM |
General Motors Company |
80/100 |
STRONG BUY |
High |
RSI: 59, Vol: 2.33x, Breakout, Bollinger Squeeze |
| AMZN |
Amazon.com, Inc. |
55/100 |
BUY |
High |
RSI: 54, Vol: 0.93x, Breakout, Bollinger Squeeze |
| NVDA |
NVIDIA Corporation |
55/100 |
BUY |
High |
RSI: 52, Vol: 0.77x, Bollinger Squeeze |
| ABBV |
AbbVie Inc. |
55/100 |
BUY |
High |
RSI: 50, Vol: 0.91x, Bollinger Squeeze |
24H Timeframe (5 picks)
Last updated: 2026-01-27, 9:50:07 p.m.
| Symbol |
Name |
Score |
Rating |
Risk |
Key Indicators |
| UNH |
UnitedHealth Group Incorporate |
70/100 |
BUY |
High |
RSI: 26, Vol: 8.16x |
| GM |
General Motors Company |
70/100 |
BUY |
High |
RSI: 59, Vol: 2.33x, Breakout, Bollinger Squeeze |
| PFE |
Pfizer Inc. |
60/100 |
BUY |
High |
RSI: 65, Vol: 1.42x, Breakout, Bollinger Squeeze |
| XOM |
Exxon Mobil Corporation |
50/100 |
BUY |
High |
RSI: 82, Vol: 0.71x, Breakout |
| CVX |
Chevron Corporation |
50/100 |
BUY |
High |
RSI: 82, Vol: 0.99x, Breakout |
Composite Rating
Total Picks: 12
1M Timeframe (12 picks)
Last updated: 2026-01-27, 9:50:07 p.m.
| Symbol |
Name |
Score |
Rating |
Risk |
Key Indicators |
| PFE |
Pfizer Inc. |
75/100 |
STRONG BUY |
Medium |
RSI: 65 |
| GM |
General Motors Company |
75/100 |
STRONG BUY |
Medium |
RSI: 59 |
| SBUX |
Starbucks Corporation |
70/100 |
STRONG BUY |
Medium |
RSI: 68 |
| F |
Ford Motor Company |
70/100 |
STRONG BUY |
Medium |
RSI: 52 |
| MSFT |
Microsoft Corporation |
55/100 |
BUY |
Medium |
RSI: 51 |
| GOOGL |
Alphabet Inc. |
55/100 |
BUY |
Medium |
RSI: 69 |
| AMZN |
Amazon.com, Inc. |
55/100 |
BUY |
Medium |
RSI: 54 |
| NVDA |
NVIDIA Corporation |
55/100 |
BUY |
Medium |
RSI: 52 |
| WMT |
Walmart Inc. |
55/100 |
BUY |
Medium |
RSI: 59 |
| GME |
GameStop Corp. |
55/100 |
BUY |
Medium |
RSI: 84 |
CAN SLIM
Total Picks: 1
3M Timeframe (1 picks)
Last updated: 2026-01-27, 9:50:07 p.m.
| Symbol |
Name |
Score |
Rating |
Risk |
Key Indicators |
| PFE |
Pfizer Inc. |
45/100 |
HOLD |
Medium |
RSI: 65, Vol: 1.42x, RS: 50, Stage-2 |
📚 Analysis Documents
All links point to this repository (STOCKSUNIFY):
Comprehensive Analysis
AI Assessments
⚠️ Methodologies Not Yet Automated
The following algorithms from the 11 stock repositories have been identified but not yet integrated into the automated daily pick generation:
1. ML Ensemble (XGBoost/Gradient Boosting)
- Source: Stock Spike Replicator (ML variant)
- Status: ❌ Not Automated
- Features:
- RandomForest, GradientBoosting, XGBoost models
- Next-day return prediction
- Feature engineering (returns, gaps, MAs, volatility, RSI, MACD, Bollinger)
- MSE, R², MAE metrics
- Why Not Automated: Requires ML model training infrastructure
2. Statistical Arbitrage / Pairs Trading
- Source: Stock Spike Replicator
- Status: ❌ Not Automated
- Features:
- Correlated pairs detection
- Z-score mean reversion
- Market-neutral strategy
- Sharpe ratio optimization
- Why Not Automated: Requires pairs analysis and correlation matrix
3. Revenue Growth (SEC XBRL Scraping)
- Source: mikestocks variants
- Status: ⚠️ Partially Automated (CAN SLIM uses RS but not XBRL)
- Features:
- SEC EDGAR XBRL data extraction
- 25%+ quarterly revenue growth filter
- Real-time filing monitoring
- Why Not Fully Automated: Requires SEC EDGAR API/scraping
4. Institutional Accumulation Tracking
- Source: mikestocks variants
- Status: ❌ Not Automated
- Features:
- Net institutional inflows/outflows
- Quarterly ownership changes
- Institutional flow tracking
- Why Not Automated: Requires institutional ownership data API
5. Sentiment Analysis (NLP)
- Source: Stock QuickPicks
- Status: ❌ Not Automated
- Features:
- VADER sentiment analysis
- FinBERT financial sentiment
- News/article sentiment scoring
- Why Not Automated: Requires NLP libraries and news data sources
6. Website Prediction Tracking
- Source: Stock QuickPicks
- Status: ❌ Not Automated
- Features:
- Trust score system
- Prediction source reliability tracking
- Accuracy tracking per source
- Why Not Automated: Requires web scraping infrastructure
7. Portfolio Optimization (Modern Portfolio Theory)
- Source: Stock Spike Replicator (Risk Management variant)
- Status: ❌ Not Automated
- Features:
- Efficient Frontier calculation
- Portfolio diversification
- Risk-adjusted returns (Sharpe, Sortino, Calmar)
- Position sizing (Kelly Criterion)
- Why Not Automated: Requires portfolio-level calculations
8. Market Regime Detection
- Source: Stock Spike Replicator (ML variant)
- Status: ⚠️ Partially Automated (Composite Rating has basic regime detection)
- Features:
- Hidden Markov Models (HMM)
- Regime classification (bull/bear/sideways)
- Regime-based weight adjustments
- Why Not Fully Automated: Requires HMM implementation
9. Advanced Risk Metrics
- Source: Stock Spike Replicator (Risk Management variant)
- Status: ❌ Not Automated
- Features:
- Value at Risk (VaR)
- Expected Shortfall
- ATR-based stop-loss/take-profit
- Dynamic position sizing
- Why Not Automated: Requires risk calculation infrastructure
10. Backtesting with Transaction Costs
- Source: Multiple repositories
- Status: ❌ Not Automated
- Features:
- Realistic backtesting
- Slippage modeling
- Transaction cost inclusion
- Walk-forward analysis
- Why Not Automated: Requires backtesting framework
📋 Integration Priority
High Priority (Most Impact):
- ✅ CAN SLIM Growth Screener - DONE
- ✅ Technical Momentum (24h, 3d, 7d) - DONE
- ✅ Composite Rating Engine - DONE
- 🔄 ML Ensemble - NEXT (would add predictive power)
- 🔄 Statistical Arbitrage - NEXT (market-neutral strategy)
Medium Priority:
- Revenue Growth (SEC XBRL) - Would improve CAN SLIM accuracy
- Sentiment Analysis - Would add catalyst detection
- Portfolio Optimization - Would enable portfolio-level recommendations
Low Priority (Nice to Have):
- Institutional Accumulation - Data lags by months
- Website Prediction Tracking - Requires web scraping
- Advanced Risk Metrics - More for portfolio management
- Backtesting Framework - Validation tool, not pick generation
🔧 Scripts
🚀 Usage
Generate Daily Stock Picks
npm install
npx tsx scripts/generate-daily-stocks.ts
View Data
The daily stock picks are available as JSON:
- Local:
data/daily-stocks.json
- Web:
https://eltonaguiar.github.io/STOCKSUNIFY/data/daily-stocks.json
📈 Algorithms Currently Integrated
✅ 1. CAN SLIM Growth Screener (Long-term: 3-12 months)
Status: ✅ AUTOMATED
Accuracy: 60-70% (based on O’Neil research)
Source: mikestocks repository
Criteria:
- RS Rating ≥ 90 (weighted 12-month momentum)
- Stage-2 Uptrend (Minervini methodology)
- Price vs 52-week high
- RSI momentum (50-70 ideal)
- Volume surge detection
Timeframes: 3m, 6m, 1y
✅ 2. Technical Momentum Screener (Short-term: 24h-1 week)
Status: ✅ AUTOMATED
Source: SCREENER_PENNYSTOCK_SKYROCKET_24HOURS repositories
Timeframes:
- 24h: Volume surge (40 pts), RSI extremes (30 pts), Breakout (30 pts)
- 3d: Volume (30 pts), Breakout (30 pts), RSI momentum (25 pts), Volatility (15 pts)
- 7d: Bollinger squeeze (30 pts), RSI extremes (25 pts), Volume (25 pts), Institutional (20 pts)
Indicators:
- RSI (14-day)
- Volume Surge (current vs 10-day avg)
- Breakout detection (20-day high)
- Bollinger Band Squeeze
✅ 3. Composite Rating Engine (Medium-term: 1-3 months)
Status: ✅ AUTOMATED
Source: Stock Spike Replicator (Composite Rating variant)
Components:
- Technical (40 pts): Price vs SMAs, RSI
- Volume (20 pts): Volume surge analysis
- Fundamental (20 pts): PE ratio, Market cap
- Regime Adjustment (20 pts): Normal/low-vol/high-vol market conditions
🔗 Source Repositories
This data is synced from:
⚠️ Disclaimer
Stock predictions are for informational purposes only and do not constitute financial advice. Always conduct your own research and consult with a licensed financial advisor before making investment decisions.
📅 Auto-Update
This README is automatically updated when npm run stocks:sync is run. The daily picks section reflects the latest data from data/daily-stocks.json.
Powered by 11+ AI-validated stock analysis algorithms
Last README Update: 2026-01-28T02:50:12.200Z