GPU-accelerated AI that trains, optimizes, and trades automatically — so you stop guessing and start compounding.
Six Transformer blocks followed by a bidirectional LSTM — trained end-to-end on your crypto price data to capture both local patterns and long-range dependencies.
Gradient-boosted trees run in parallel with the neural net. Both models vote; their confidence is weighted and fused. Disagreement means no trade.
Open up to five simultaneous crypto trading tabs — each tab runs its own symbol with its own chart, confidence panel, P/L display, and live trader loop.
Each tab has three dropdown slots for auxiliary training symbols. Pick a different multi-symbol mix per tab without touching code — settings save and restore on every tab switch.
One trained model is broadcast to all tabs instantly. Each tab then continuously fine-tunes its own copy every 50 new bars via online learning — adapting to each symbol's behavior.
Select Alpaca, Coinbase, Robinhood, and Binance simultaneously. A single BUY or SELL signal fires orders on all active platforms in parallel. Per-exchange cash shown in the status bar.
40-trial TPE search across learning rate, ATR multiplier, regime weight, horizon, and sequence length — simultaneously, not one variable at a time.
Automatic pivot detection labels every bar as BUY, HOLD UP, HOLD DOWN, or SELL using ATR-scaled thresholds. The model trains on structure, not noise.
One button. Eight stages. Loads up to 85k bars, optimizes model hyperparameters, trains, validates, backtests, and saves the best configuration — unattended overnight.
Holdout bars are withheld from training entirely. The final stage tests on data the model has never seen — not a backtest artifact, actual out-of-sample performance.
The last 50 completed round-trip trades across every activated bot, aggregated and published in real time — entry/exit price, P&L, win rate, best/worst trade. No account identifiers, ever. A track record you can check yourself instead of taking our word for it.
Paper trading through Alpaca's API. Fernet-encrypted, machine-bound API keys. We strongly recommend paper mode to evaluate performance before considering any live deployment.
Full CUDA support for training and inference. Your RTX GPU cuts training time by an order of magnitude. CPU fallback is available if needed.
Enter your Alpaca API keys. They're encrypted with Fernet and bound to your machine — only your computer can use them.
The bot pulls up to 85,000 bars of historical data (Alpaca’s maximum) and automatically labels every bar with the ZigZag engine.
One click. The 8-stage pipeline optimizes hyperparameters, trains, validates, and saves the best configuration — overnight.
The bot runs in paper mode, monitors the market, generates signals, and logs every decision. Review performance and refine your configuration over time.
All pairs trade against USD via Alpaca Markets. The active pair is configurable at any time — switch symbols, retrain, and redeploy in minutes.
Any CUDA-capable NVIDIA GPU works. The bot automatically detects your hardware and uses it for training and inference. CPU fallback is available but training will be significantly slower.
Minimum recommended: 6 GB VRAM. 8 GB+ recommended for full 85k-bar multi-symbol training at default sequence lengths. The RTX 5070 Ti (15.9 GB) and above handle all configurations comfortably.
This isn't a moving-average crossover. The model was built from scratch for crypto price action — continuous sequences, regime shifts, and multi-scale patterns that standard indicators miss entirely.
Scored across eight dimensions — AI sophistication, optimization quality, backtesting rigor, customization depth, value, risk controls, exchange breadth, and live execution — against the ten most popular retail trading bots.
Secure checkout via Stripe. License key delivered by email within minutes.