AI Market Signals Powered by Multi-Analyst Consensus
One signal, many perspectives. Kabra's consensus engine runs multiple independent AI analysts that evaluate every instrument separately — then synthesizes their findings into confidence-weighted directional signals with built-in contrarian validation.
Multi-Analyst Consensus
Every signal is backed by multiple independent AI analysts, each specializing in a different dimension — technical patterns, momentum, sentiment, fundamentals, and macro context. No single point of failure.
Confidence-Weighted Scoring
Signals aren't binary. Each comes with a confidence score reflecting how many analysts agree and how strongly. A high-confidence consensus carries far more weight than a single indicator flashing green.
Built-In Contrarian Validation
Dedicated contrarian analysts challenge every consensus signal, searching for overextension, divergences, and hidden risks. This adversarial layer keeps the system honest and reduces the danger of crowded trades.
Multi-Market Coverage
Receive continuous signals across stocks, forex, and crypto markets simultaneously. The consensus engine adapts to each market's rhythm and updates signals as conditions change.
Transparent Signal Reasoning
Every signal includes a breakdown of which analysts contributed, what evidence they found, and why the consensus reached its conclusion. Full transparency means you always understand the 'why' behind each signal.
Customizable Alert Thresholds
Set your own confidence thresholds for notifications. Only want alerts when most analysts agree? Done. Prefer early warnings at lower consensus? You're in control of what reaches your screen.
How it works
Select the instruments and markets you want to monitor, and multiple independent AI analysts begin evaluating each one using diverse methodologies.
Each analyst evaluates the instrument from its unique perspective — technicals, sentiment, macro factors, volume dynamics — and submits a directional signal with supporting evidence.
The consensus engine aggregates all signals, applies confidence weighting, and runs contrarian validation to produce a final directional view with a transparent confidence score.
You receive signals in your dashboard with full reasoning, key levels, and risk context — plus alerts when signals cross your custom confidence thresholds.