QUANTITATIVE TRADING

Run Multiple Quant Models. Get One Verdict.

Kabra's Quant Terminal aggregates independent quantitative models into a single conviction-weighted signal — alongside the Agent Swarm AI consensus engine and automated Chart Pattern Detection.

01

Quant Terminal Ensemble

Multiple independent quantitative models run in parallel, aggregated into one actionable verdict — no conflicting outputs to reconcile manually.

02

Conviction-Weighted Signals

Each model's vote is weighted by historical conviction, so the final signal reflects how tightly your models actually agreed, not a naïve average.

03

Agent Swarm Cross-Check

Pair Quant Terminal with Agent Swarm's 100-agent AI ensemble for a second, independent conviction read on every name.

04

Chart Pattern Inputs

Automated technical setups feed into the model ensemble so pattern-based strategies don't require external data wiring.

05

Equity Research Data

Fundamentals, consensus estimates, and ownership from the Equity Research Suite are available as model inputs for fundamental-quant strategies.

06

Trade Tracker Performance Review

Every live fill lands in Trade Tracker, producing an equity curve you can compare directly against backtest expectations.

How it works

01

Configure or select the quantitative models you want running in the Quant Terminal.

02

Kabra executes each model independently and aggregates the results into one verdict.

03

Run Agent Swarm alongside for an independent AI-consensus cross-check.

04

Log fills in Trade Tracker to compare live performance against backtest expectations.

Frequently asked questions

Which Kabra tools support quantitative trading?+
Quant Terminal is the core — it aggregates multiple independent quantitative models into a single conviction-weighted verdict. Agent Swarm adds a separate AI consensus layer; Chart Pattern Detection contributes technical inputs; Trade Tracker records every fill for review.
How does the Quant Terminal combine model outputs?+
Each model runs independently, then votes are aggregated into a single signal weighted by historical conviction. The result is one actionable verdict per ticker rather than conflicting outputs from disparate models.
Can I combine quant signals with AI consensus?+
Yes — that's the intended pairing. Run Quant Terminal for the model ensemble verdict and Agent Swarm for the AI ensemble verdict, then compare. Agreement across both raises conviction; divergence flags positions worth smaller size.
Is backtesting supported?+
Quant Terminal's models are built on historical performance and include backtest context for each signal. Trade Tracker then records live fills, so your live equity curve is directly comparable to the backtest expectation.
Which plan unlocks the Quant Terminal?+
Quant Terminal is available on Kabra Pro and above. See pricing for the full tier breakdown.
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