Quant Trading Terminal — 20+ Strategies Running in Real Time
Institutional-grade quantitative analysis, accessible to everyone. Kabra's quant terminal runs over 20 independent strategies — momentum, trend-following, mean reversion, and volatility models — and synthesizes their signals into a single, confidence-weighted consensus so you always know where the smart money math points.
20+ Independent Strategies
Access a diverse library of quantitative strategies spanning momentum, trend, mean reversion, and volatility approaches. Each runs independently with its own logic, parameters, and performance tracking.
Multi-Strategy Consensus Engine
Instead of guessing which strategy to follow, Kabra synthesizes all active strategies into a single consensus signal. When 15 out of 20 strategies agree on direction, you trade with conviction.
Momentum & Breakout Models
Detect early momentum shifts and breakout conditions using rate-of-change analysis, relative strength ranking, and volume-confirmed breakout detection across all your tracked instruments.
Trend-Following Intelligence
Ride sustained moves with trend-following models that identify and track established trends using adaptive moving averages, directional strength measurement, and multi-timeframe trend alignment.
Mean Reversion & Volatility Models
Capture mean-reversion opportunities when instruments stretch too far from fair value, and identify volatility compression setups that often precede explosive moves.
Real-Time Signal Dashboard
View all 20+ strategies and their current signals in a unified dashboard. See consensus direction, individual strategy votes, confidence levels, and key price levels at a glance.
How it works
Choose the instruments you want to analyze — US stocks, forex pairs, or crypto assets — and the quant terminal begins running all 20+ strategies immediately.
Each strategy independently evaluates the instrument using its own methodology, from momentum oscillators to statistical mean-reversion models, and generates a directional signal.
The consensus engine aggregates all strategy signals, weighting each by recent accuracy and relevance to the current market regime, to produce a single high-confidence recommendation.
Monitor the consensus dashboard in real time, drill into individual strategy performance, and act on high-conviction setups where multiple independent models agree.