From data ingestion to neural execution. Tryn Quant provides institutional-grade infrastructure for algorithmic trading.
Core Features
Built for professional algorithmic traders
Evolving machine learning models that adapt to market regimes in real-time. Our proprietary algorithms process 14.2M parameters per second.
Test complex strategies against years of tick data in under 500ms. Historical simulation with slippage and fee modeling.
AES-256-GCM encryption for all API secrets with zero-trust architecture. Your funds never leave your exchange.
Sub-millisecond order execution via optimized Rust-based gateways. Direct exchange connectivity with WebSocket feeds.
Deep-dive into Sharpe ratios, drawdowns, and alpha leakage metrics. Real-time PnL tracking across your entire fleet.
Compete in institutional-grade trading simulations. Pit your algorithms against others in randomized battle conditions.
Technical Specifications
Enterprise-grade infrastructure
Connect to major global exchanges including Binance, Coinbase, Kraken, KuCoin, Bybit, OKX, and 40+ more.
Zero-knowledge secret storage with AES-256-GCM encryption. Decryption only happens on your Railway engine.
Deployed on Vercel Edge Network with Railway backend. Sub-50ms latency worldwide.
Live telemetry streaming via Supabase Realtime. Monitor your bots without page refresh.
Pre-built strategies: Grid Scalper, DCA Accumulator, Momentum Rider, Mean Reversion.
Exchange webhooks for instant order fills, liquidations, and account updates.
Reliable data persistence with Supabase Postgres and Redis caching for hot data.
Enterprise-grade reliability with automatic failover and redundant infrastructure.
Built-in Strategies
Deploy proven algorithms in seconds
High Frequency
Places buy and sell orders at regular intervals within a price range. Profits from market volatility in sideways conditions.
Long-term
Dollar-cost averaging on predetermined price drops. Accumulates assets during dips and takes profit on rebounds.
Trend Following
Uses RSI, MACD, and volume indicators to identify and ride market trends. Dynamic position sizing based on trend strength.
Statistical
Identifies price deviations from historical average using Bollinger Bands. Trades the regression to mean.