Project Overview Page
This page documents how the system works and shows live sample data pulled from it. The full trading dashboard — with portfolio, signals, and controls — lives at a separate URL.
Swing Trading Analytics Dashboard
A professional-grade automated stock analysis system combining technical indicators, AI forecasting, and sentiment analysis to generate actionable swing trading signals.
Core logic lives in a private repository.
Strategy Rules
Alpha Intelligence (Watchlist)
Click any ticker for deep-dive technical charts.
Latest Scan Cycle
Apr 18, 2026 07:51 PM
Top Quant Opportunities
Sieve: Total P/L > 30% (+ Core Assets)| Ticker | Price | Score | Signal & Insights | Backtest Performance |
|---|---|---|---|---|
|
NFLX
Fixed
⚠️
|
$97.31 |
62
|
No Signal
Awaiting next algorithmic scan...
|
25.0% Win Rate / 8 Trades
SIGNAL GROWTH: -13.1%
0.87x
|
|
Decrypting Market Data for NFLX |
||||
|
AAON
Fixed
|
$93.98 |
56
|
No Signal
Awaiting next algorithmic scan...
|
80.0% Win Rate / 5 Trades
SIGNAL GROWTH: +90.9%
1.91x
|
|
Decrypting Market Data for AAON |
||||
Why This Is Hard
Stock prices approximate a random walk. Most ML models overfit on historical patterns and collapse out-of-sample. This system guards against that with a market-regime filter, strict multi-condition signal gating, and walk-forward validated backtests — so signals reflect real edge, not curve-fitting.
Signal Gate
A buy signal fires only when a proprietary set of technical, volume, and sentiment parameters simultaneously agree. This strict multi-condition gate filters the vast majority of candidate setups — keeping only high-conviction entries where several independent signals converge.
Production Infrastructure
Fully automated pipeline: a task scheduler fires scans 4× daily, a message broker queues the jobs, and live prices plus news headlines are ingested automatically — no manual intervention. When a signal fires, I receive an email alert and act on it.
Rigorous Model Evaluation
Each model's directional accuracy is tracked independently on out-of-sample data. The best-performing model per ticker is highlighted in the charts below — the ensemble isn't blind averaging, it's informed selection backed by live hit-rate tracking.
How Score Is Calculated
The Score combines Signal Strength, Model Confidence, and Win Rate as a weighted value. Higher scores indicate higher conviction signals where multiple components align — tickers with scores 70+ represent the most promising entry opportunities.
Watchlist Filter (Sieve)
Tickers in the Alpha Intelligence table are filtered to show only those with historical backtest performance above 30% total P&L, plus core portfolio holdings. This ensures you're focusing on setups with proven statistical edge and established trade history.