HOW QUANTBUILDER WORKS
Build AI-powered trading models, get daily stock picks, backtest strategies, and execute trades—all in one platform. No coding required.
🎯 WHAT IS QUANTBUILDER?
📊 For Quants
Quant-Builder.ai is your AI research assistant. Train machine learning models on historical stock data, get daily picks ranked by confidence, and backtest strategies before risking real money.
- ✓ No coding knowledge required
- ✓ Visual interface for model building
- ✓ Daily predictions delivered automatically
- ✓ Connect broker for instant execution
🎬 THE 4-STEP WORKFLOW
1. BUILD
Train AI models on historical data
2. BACKTEST
Test strategy on 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—just choose your settings and click Train.
🎯 What You Choose:
- Stock Universe: QB500, QB1000, NASDAQ-100, or sector-specific
- Training Regime: Bull markets, bear markets, sideways, recessions, expansions
- Target: What return to predict (3-day +2%, 7-day +5%, etc.)
- Features: Select from over 450+ technical, fundamental & macro indicators
- Algorithm: LightGBM, XGBoost, CatBoost, Random Forest
- Backtest Length: Standard walk-forward validation period
⚡ What Happens:
- Training (5-15 mins): AI analyzes thousands of stocks across years
- Pattern Detection: Finds relationships between indicators & price moves
- Validation: Tests model on unseen data to prevent overfitting
- Scoring: Generates performance metrics (accuracy, Sharpe, etc.)
⚡ STEP 2: PORTFOLIO BACKTEST YOUR STRATEGY
Before risking real money, test your model's picks against historical data. See how a $10,000 portfolio would have performed over the past year.
📊 Real Backtest Results - Pick The Best One:
You'll test multiple strategies. Here are 3 variations with different confidence thresholds. Notice how 45% confidence is the winner (better than 46%, which is still solid) but 42% confidence drops off a cliff.
✅ POINT-IN-TIME COMPLIANT BACKTESTS
Our backtests use Point-in-Time (PIT) compliant data, which means:
- ✓ Real Delisting History: Includes bankruptcies, buyouts, and delisted companies—not just "survivors"
- ✓ Historical Accuracy: Uses data as it actually existed at each point in time (no look-ahead bias)
- ✓ Realistic Results: Your backtest sees the same messy reality traders faced in real-time
⚠️ Note: Portfolio Backtests include optional adverse slippage (default 10 bps entry + 10 bps exit). Commissions and market impact are not modeled — real trading costs can still differ.
📈 STEP 3: TODAY'S PICKS
Every morning, your models analyze the current market and generate ranked predictions. Each pick shows confidence %, expected return, direction (long/short), and key metrics.
Example: Low-Confidence Day (Illustrative)
This is an illustrative example of a day when many picks sat below a sample confidence threshold. The red "Actual Return" column shows what happened historically on that example day. Low confidence does not mean you will avoid losses, and skipping a day does not guarantee better outcomes. Past examples are not indicative of future results.
Example: Higher-Confidence Day (Illustrative)
This is an illustrative example of a day when more picks sat above a sample confidence threshold. The green "Actual Return" column shows what happened historically on that example day. Higher confidence is not a guarantee of profit. Past examples are not indicative of future results.
🎯 Understanding Confidence
Confidence is a ranking score. It measures how closely a stock's data today matches the patterns your model learned from history.
You set the rules — which stocks, what counts as a win (say a 3% move within 5 trading days), which indicators the model may use, and which algorithm trains on them. The model studies years of point-in-time history, learns which combinations came before the outcome you chose, and scores your universe each morning. Your picks are that universe sorted highest to lowest.
Read the order, not the number. The scale depends on how your model was trained, so scores are not comparable between models and a score is not a probability of profit. Your backtest is what tells you where your model's scores are worth acting on.
Confidence is not a price prediction, a probability of profit, or a recommendation from Quant-Builder. You build the model. Every trading decision is yours.
📊 Long vs Short
LONG: Expecting price to GO UP. Traditional "buy" trade.
SHORT: Expecting price to GO DOWN. Profit from decline (requires margin account).
💼 STEP 4: BROKER CONNECTIONS (OPTIONAL)
Quant-Builder.ai currently integrates with Alpaca (additional brokers coming soon). Connect your API keys and use Quant-Builder.ai's interface to transmit trade orders to your registered broker account with one click.
🔐 Security Features
- 4-Digit Trading PIN: Required to open trading — no order can be configured or submitted without it
- Encrypted API Keys: Broker credentials stored securely
- Trading Waiver: One-time legal acknowledgment
- Paper Trading First: Test with fake money before going live
⚡ Trading Features
- Batch Trading: Send 10+ orders in one click
- Bracket Orders: Automatic take-profit & stop-loss
- Position Sizing: Equal dollar or manual quantities
- Long & Short: Profit from up or down moves
🚨 CRITICAL TRADING WARNINGS
- ⛔ Quant-Builder.ai is a research platform. We do not execute trades. All orders are transmitted through your broker account.
- ⛔ Trading involves substantial risk, including the risk of permanent capital loss.
- ⛔ Paper trade FIRST. Test strategies with fake money before risking real capital.
- ⛔ Always use proper risk management.
- ⛔ Past performance ≠ future results. Models can be wrong. Markets change. Stay vigilant.
💡 EXAMPLE: Batch Trade Flow
🔍 RESEARCH TOOLS
Deep-dive into any stock with charts, technical indicators, financial statements, and analyst ratings. Validate your model's picks before trading.
📊 Technical Analysis
- • Interactive price charts (1D to 5Y timeframes)
- • RSI, MACD, Bollinger Bands overlays
- • Volume analysis
- • Support/resistance levels
- • Trend indicators
💼 Fundamental Data
- • Financial statements (Income, Balance Sheet, Cash Flow)
- • Key ratios (P/E, P/B, Debt/Equity, ROE)
- • Earnings estimates (FY0, FY1)
- • Analyst ratings & price targets
- • Company overview & sector info
READY TO BUILD YOUR MODELS?
Join traders using AI to find opportunities, backtest strategies, and review ranked picks to decide what to trade.
No credit card required • 5 models free • Upgrade anytime
DISCLAIMER: Quant-Builder.ai is a research platform providing tools for analysis. We do not provide financial advice, manage investments, or recommend specific trades. All trading decisions are YOUR responsibility. Trading involves substantial risk of loss. Past performance does not indicate future results. Consult a licensed financial advisor before making investment decisions.
RISK DISCLOSURE
Quant-Builder.ai is a research and software platform for building and testing quantitative stock models. It is not a broker, investment adviser, or trading signal service. Nothing on this site is financial, investment, or trading advice.
Asset class: The platform focuses on US equity (stock) research and trading workflows. Trading equities involves substantial risk of loss, including loss of principal. Short selling, leverage, and margin (if used through your broker) increase risk.
Backtests and past results (including walk-forward tests, portfolio simulations, confidence scores, and example "Today's Picks" days) are hypothetical or historical illustrations. They do not guarantee future performance. Real trading can differ due to slippage, liquidity, commissions, timing, and market conditions.
You choose models, size positions, and authorize trades through your own brokerage account. All decisions and outcomes are your responsibility. Consult a licensed financial advisor before investing. See Terms and Privacy.