Strategic intelligence for every outcome
Discover built-in strategies or design your own institutional-grade models using our high-fidelity TypeScript runtime.
2
Verified Models
0
Built-in Alphas
Anatomy of a Model
Every strategy on Implyx follows a rigorous 3-layer architecture designed for maximum reliability and performance.
Signal Decomposition
Models ingest raw orderbook delta, trade volume spikes, and cross-venue imbalance to generate high-conviction signals.
Risk Guardrails
Configurable exposure limits and stop-loss mechanisms are executed at the runtime level, protecting your capital 24/7.
Execution Lifecycle
Sophisticated order routing logic handles partial fills, retries, and liquidity management across Kalshi and Polymarket.
Status
Latency
14.2ms avgModel Library
Ready-to-deploy alpha strategies built by our core research team. Fully backtested on historical orderbook data.
Mean Reversion
Buys when price deviates below SMA band and sells above.
Risk Profile
Moderate
Assets
All Venues
Range Breakout
Enters long on new highs and short on new lows over lookback window.
Risk Profile
Moderate
Assets
All Venues
Custom Strategy
Have a proprietary signal? Build your own trading logic from scratch using our core libraries.
- NPM Dependencies
- Custom Webhooks
- External Indicators
- Multi-Venue Routing
Backtest Report #2026-ALPHA
Win Rate
64.2%
Profit Factor
2.14
Sharpe
3.1
High-fidelity backtesting.
Validate your theories with millisecond-accurate historical orderbook data. Our engine accounts for exchange fees, slippage, and liquidity spikes to ensure what works in simulation works in production.
Millisecond Accuracy
Backtests run on same-day orderbook deltas for maximum fidelity.
Portfolio Analysis
Deep metrics on DD, risk-adjusted returns, and strategy correlation.
The future of systematic prediction trading.
Don't leave your trades to chance. Build, validate, and deploy institutional-grade strategy models with Implyx.