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Build your first AI trading model.
Train on 30 years of market data. Get daily stock picks ranked by confidence. No code. No setup. Takes minutes.
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📱 Works on mobile. Explore picks and backtest results from your phone. Come back to desktop when you're ready to build.
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Demo Includes
- ✓Build up to 3 models
Full training pipeline — same engine as paid accounts
- ✓Full training details
Live terminal output, accuracy metrics, feature importance
- ✓13 pre-selected features
Curated mix of technical, fundamental & macro indicators
- ✓Walk-forward backtest
Point-in-time compliant, no look-ahead bias
- ✓Portfolio backtest
Limited runs — simulate position sizing, stop-loss & rebalancing
- ✓Today's picks
Live predictions from your models, ranked by confidence
Not in Demo
- ✗600+ custom feature selection
Demo uses 13 pre-selected only - ✗Unlimited models
Demo capped at 3 - ✗Auto-scoring & performance tracking
Nightly auto-score, win rate history, return tracking over time - ✗Full portfolio backtest controls
Unlimited runs, custom date ranges, regime-specific testing, advanced stop-loss & entry types - ✗Model ensembles & portfolio combinations
Combine multiple models into a single strategy - ✗Custom training: regime, universe & time range
Bull/bear/sideways regimes, sector universes, custom lookback windows - ✗Broker connection & live trading
Alpaca & Tradier integration, batch orders, bracket orders - ✗AI Research Assistant
Ask questions, get feature suggestions, run backtests, and navigate the platform — all from chat - ✗Persistent models
Demo sessions reset periodically
How It Works
🎯 WHAT IS QUANTBUILDER?
AI-Powered Trading Research
QuantBuilder lets you train machine learning models on historical stock data, get daily picks ranked by confidence, and backtest strategies — before risking real money. No coding required.
- ✓ No coding knowledge required
- ✓ Visual interface for model building
- ✓ Daily predictions generated automatically
- ✓ Optional broker connection for one-click execution
THE 4-STEP WORKFLOW
1. BUILD
Train AI models on historical stock data
2. BACKTEST
Test your strategy against historical data
3. ANALYZE
Review daily picks & confidence scores
4. EXECUTE
Connect broker & trade (optional)
🔨 STEP 1: BUILD AI MODELS
Create machine learning models that learn patterns from years of stock market data. No coding required — choose your settings and click Train.
🎯 What You Choose
- Stock Universe: QB500, QB1000, NASDAQ-100, sector-specific
- Training Regime: Bull, bear, sideways, recession, expansion
- Target: What return to predict (3-day +2%, 7-day +5%, etc.)
- Features: 450+ technical, fundamental & macro indicators
- Algorithm: LightGBM, XGBoost, CatBoost, Random Forest
⚡ What Happens
- Training (5–15 min): AI analyzes thousands of stocks across years of data
- Pattern Detection: Finds relationships between indicators & price moves
- Validation: Tests model on unseen data to prevent overfitting
- Scoring: Generates accuracy, Sharpe ratio, win rate & more
⚡ STEP 2: BACKTEST YOUR STRATEGY
Before risking real money, test your model's picks against historical data. See how a portfolio would have performed — with real position sizing, stop-losses, and rebalancing.
📊 Sample Results — Small Changes, Massive Impact
Three backtests, three confidence thresholds. 45% confidence wins over 46%, while 42% falls off a cliff. That's why you run multiple tests.
✅ POINT-IN-TIME COMPLIANT
- ✓ Includes delisted companies — no survivorship bias
- ✓ Uses data as it actually existed at each point in time
- ✓ Backtests see the same messy reality traders faced in real-time
⚠️ Backtests do not account for commissions or slippage. Real trading costs will reduce actual returns.
📈 STEP 3: TODAY'S PICKS
Every morning, your models analyze the current market and generate ranked predictions. Each pick shows confidence %, expected return, direction, and key metrics.
Low Confidence — Losses Avoided
When most picks fall below your confidence threshold, the system warns you not to trade. This day would have resulted in losses — notice the red Actual Return column.
High Confidence — Better Returns
When picks hit your confidence threshold, the model delivers strong signals. Multiple winners in the green Actual Return column. This is when you want to be in the market.
🎯 Understanding Confidence
Confidence is relative to each model, not universal. 55% from Model A may outperform 90% from Model B. Use your backtest to find each model's optimal threshold.
📊 Long vs Short
LONG: Expecting price to go up. Standard buy trade.
SHORT: Expecting price to go down. Requires margin account.
💼 STEP 4: BROKER CONNECTION (OPTIONAL)
Connect your Alpaca or Tradier account and submit trades directly from QuantBuilder — one click, 10+ positions, under 2 seconds.
🔐 Security
- 4-Digit Trading PIN: Required before every trade
- Encrypted API Keys: Credentials stored securely
- Paper Trading First: Test with fake money before going live
⚡ Trading Features
- Batch Trading: Send 10+ orders in one click
- Bracket Orders: Auto take-profit & stop-loss
- Position Sizing: Equal dollar or manual quantities
⚠️ RISK WARNING: QuantBuilder is a research platform. We do not execute trades or provide financial advice. Trading involves substantial risk of loss. Past performance does not indicate future results. Always test with paper trading first.
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