Build, backtest, and validate production-grade options strategies using the same proprietary GEX and ML alpha that powers GammaFlow Edge.
Our proprietary directional GEX analysis and ML scoring engine have been battle-tested across 100+ tickers. QuantFlow Pro gives you programmatic access to this alpha.
No live execution liability. You bring the brokerage — we bring the alpha, the engine, and the infrastructure.
Nanosecond-precision backtesting with realistic fills, commissions, and slippage modeling. Test strategies across 100+ tickers with historical GEX and options pricing data.
RESTful API delivering raw GEX signals, ML scores, and dealer positioning data in real-time. JSON format, easy to integrate with any execution system or custom dashboard.
Retrain our ML scorer on your specific watchlist, timeframe, or strategy parameters. Use your own feature engineering on top of our signal infrastructure.
Equity curves, drawdown analysis, regime breakdowns, monthly returns heatmaps, and bootstrapped confidence intervals. Publication-ready output.
Rolling out-of-sample testing to validate strategy robustness. Avoid overfitting with proper train/test splits and parameter stability analysis.
Combine GEX signals with momentum, mean-reversion, or your own custom strategies. Portfolio-level risk management with correlation analysis.
Export signals, entries, and exits to CSV, webhook, or direct API integration with your own brokerage. We provide the alpha — you control the execution.
1-on-1 setup session, priority support channel, and documentation covering our signal methodology, API endpoints, and strategy templates.
# QuantFlow Pro — GEX Signal Strategy Template from quantflow import SignalAPI, Backtester # Connect to your signal feed api = SignalAPI(api_key="your_key") # Fetch active dealer gamma signals signals = api.get_signals( min_gex_percentile=25, momentum="rising", tickers=api.universe(103) ) # Backtest with NautilusTrader engine bt = Backtester( engine="nautilus", start="2024-06-01", end="2026-02-21", capital=100_000 ) results = bt.run( signals=signals, entry_rule="otm_call_5pct", exit_rule="tp_50pct_or_day5", max_positions=5 ) # Generate full report results.report( include=["equity_curve", "drawdown", "monthly_returns", "regime_analysis"] ) # Win Rate: 86.2% | Profit Factor: 4.44 | Sharpe: 2.31
Most services sell data or dashboards. We sell alpha infrastructure.
| Feature | SpotGamma Alpha $224/mo |
Unusual Whales Pro $170/mo |
QuantFlow Pro $299/mo |
|---|---|---|---|
| GEX / Gamma Analytics | ✓ | ✓ | ✓ |
| Options Flow Data | ✗ | ✓ | ✓ |
| ML Signal Scoring | ✗ | ✗ | ✓ |
| Directional GEX Analysis | ✗ | ✗ | ✓ |
| Backtest Engine | ✗ | ✗ | ✓ |
| API Access | ✗ | ✓ | ✓ |
| Custom ML Retraining | ✗ | ✗ | ✓ |
| Walk-Forward Validation | ✗ | ✗ | ✓ |
| Strategy Export | ✗ | ✗ | ✓ |
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GammaFlow Edge gives you the same signals, GEX maps, and ML-powered analysis in a visual dashboard — no coding required. $17.77/mo for founding members.
See GammaFlow Edge PlansDisclaimer: TradeAlerts AI provides analysis tools for educational and informational purposes only. This is NOT financial advice. Trading stocks and options involves significant risk of loss. Past performance and backtest results do not guarantee future results. QuantFlow Pro does not provide live trade execution or brokerage services. Always do your own research. Never risk more than you can afford to lose.