SpectralBot runs Cotes AI's spectral analysis on Kalshi markets in real time — high-conviction UP/DOWN signals delivered to your Telegram every 15 minutes, each auto-scored against settlement.
From raw price feed to actionable signal, every 15 minutes, around the clock.
Coinbase spot prices and Kalshi YES probabilities stream in simultaneously. The QRD Observatory aggregates both across 5 timeframes (5s → 15m) in real time.
The proprietary Quantum Resonance Detector engine applies FFT across 4 window sizes, extracting 1,305 phase-coherence features per bar. Unavailable in any other platform.
A trained LightGBM classifier fires UP or DOWN calls when P(UP) clears the high-confidence threshold (≥0.85). Signals land on your phone before the market moves.
Every signal includes the predicted probability, entry price, and contest window. At T+15, Cotes AI auto-scores against Kalshi settlement with no manual logging.
Always-on Windows service that collects dual-feed spectral bars for every tracked ticker. Pre-warms with 4,000+ minutes of historical data at cold start. Publishes live bars over WebSocket.
Subscribes to the Observatory, runs LightGBM inference at T3 to T5, and fires high-confidence UP/DOWN signals to your Telegram. Auto-scores at settlement.
Web-based performance portal. Live win rate curves, feature importance, regime detection, and retraining triggers, all from your signal database.
Fully automated Kalshi order placement on high-confidence signals. Kelly-fraction sizing, max-trade caps, fill verification, and four safety-gate graduation path.
Most traders look at price alone. Cotes AI looks at the relationship between price and probability, across time, across frequencies — purpose-built for Kalshi prediction markets.
FFT decomposes both price and probability series into frequency components. Coherence measures how tightly their phases lock at each frequency. A reading near 1.0 signals alignment, near 0 signals divergence.
Four FFT window sizes (32, 64, 128, 256 samples) × five lanes (5s → 15m) × six signal series = a feature space that captures structure at every relevant timescale simultaneously.
Cotes AI is purpose-built for Kalshi prediction markets, not retrofitted from equity or crypto tools. Every feature, threshold, and model is trained and validated on real Kalshi contest data.
SpectralBot's architecture is built to consensus-vote across multiple specialist models. The current deployment runs a single LightGBM model, with the framework ready to add regime-specific experts without a rewrite.
Trained and tested on real Kalshi BTC 15-minute contests. Not synthetic data, not backtests on already-known prices.
SpectralBot is live on Telegram — high-conviction UP/DOWN signals every 15 minutes, auto-scored against settlement. Open it and go.
Signals delivered straight to your Telegram. Questions? sales@cotes.ai