Kamba is the Financial Analysis System.
It turns financial questions, data, and research into ready-to-use artifacts — fully sourced, governed, and auditable from the first click.
Connects to the data you already license
Market / vendor feeds
SEC / regulatory filings
Internal / proprietary data
Web / news sources
LIVE · ANALYSIS STREAM
Backtest · 24M
+ 38.4% Δ
Live outputs
Not chat answers. Work product.
Every link below is a real artifact produced by Kamba — fully sourced, fully reproducible. Open any one to see what "done" looks like.
⦿ Featured · Credit Analysis & Portfolio
European Banks — Credit Footprint & Portfolio Construction
Full short / hold / long framework across 15 major European banks — individual credit footprints, 6-dimension scoring model, weighted portfolio construction, and bull / base / bear scenario returns.
Open the full report →
Hedge Strategy Playbook
Companion: Multi-Layer Hedge Framework
The protection overlay for the portfolio — SX7E puts, iTraxx CDS, sovereign hedges, event straddles, FX overlay — all costed and scenario-tested.
Open sample →
Precious MetalsGold · Silver · Miners
Investment Thesis
Gold & GDX — Accumulation Thesis
Structured long thesis on gold equities with entry logic, catalyst timeline, and risk framing.
Open sample →
Daily Trading Monitor
GDX / GLD — Daily Technicals & Setups
Hougaard situational analysis with trade ideas — entries, targets, and stops, refreshed daily.
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Holdings & Earnings
GDX & SIL — Holdings, Weights & Earnings Calendar
Full constituent breakdown of both miner ETFs with weightings, shared tickers, and the complete Q1 2026 earnings calendar.
Open sample →
Equity & MacroSingle-names · Fundamentals · Rates · Big-picture
Strategy Report
Macro Rates Strategy — March 2026
Full rates thesis with curve analysis, validated data foundation, signal testing, and forward projections.
Open sample →
Single-Name Deep Dive
Buenaventura (BVN) — Analysis & Options Ideas
Fundamental + technical work with four defined-risk options trades and scenario-weighted expected returns.
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Macro Research
The Big Cycle — Market Dislocations
A Dalio-framework read on current dislocations, cross-referenced against live macro data.
Open sample →
Quant & Data QualityBacktests · Signal validation · DQRs
Backtest Report
Brain Technical Stitching — Signal Backtest
Full equity curve, drawdown analysis, Sharpe and Sortino ratios, and reproducible methodology for a multi-signal stitching strategy.
Open sample →
Data Quality Report
Brain Combined Sentiment — DQR
Automated quality gate on a combined sentiment dataset — coverage heatmap, gap detection, anomaly flags, and pass/fail assessment before downstream use.
Open sample →
How it works
From question to finished artifact.
One system. No handoffs. Everything traced and stored.
01
You ask
Type a financial question in plain language — a thesis, a comparison, a data request.
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02
LLM interprets
Kamba's LLM layer decomposes the question into a structured plan — what data, what analysis, what output.
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03
Agents execute
Specialised agents orchestrate — sourcing data, validating, computing, cross-referencing across your licensed feeds and internal data.
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04
Artifact created
A fully sourced, auditable deliverable — memo, DQR, backtest, report — appears ready to use, with full lineage attached.
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05
Stored in Workspace
Every conversation, artifact, code trace, and agent action lives in your Workspace — searchable, reproducible, ready for the next question.
Data lineage
Every number traces to source.
Click any claim in the artifact. Kamba shows you exactly where it came from — every transformation, every source, every timestamp. Nothing is a black box.
Artifact claim
Investment Memo · European Banks
"BNP Paribas CET1 ratio improved 40bps to 13.8% in Q4 2025, outpacing sector median of 13.2%"
Kamba operations
Extract & validate
CET1 ratio pulled from BNP Q4 earnings supplement, Table 3.2, cross-checked against Basel III filing
Compute sector median
Median CET1 across 15-bank universe from EBA transparency data, weighted by RWA
Delta calculation
Q4 vs Q3 comparison: 13.8% − 13.4% = +40bps sequential improvement
Raw sources
BNP Paribas Q4 2025 Earnings Supplement
EBA Risk Dashboard — Q4 2025
Internal: 15-Bank Universe Master
The problem
Your analysts are not the bottleneck. The workflow is.
01
Data lives in silos.
Analysts spend most of their time pulling, cleaning, and reconciling — not analysing. The question gets answered days after it was asked.
02
Tools don't talk to each other.
Sourcing, validation, modelling, and reporting each live in a different system. Context breaks at every seam. Nothing is reproducible.
03
Chatbots don't close the loop.
They give answers. You need auditable, decision-ready outputs with full lineage — something a PM can sign off on and a compliance team can trace.
The numbers
Proof
6/10
Of the top 10 hedge funds and leading insurance firms already running Kamba.
Impact
60%
Of analysts' manual data work removed — reclaimed for actual analysis.
Speed
Seconds
Not weeks. The time Kamba takes to produce analysis that used to take days.
See exactly how investment and data teams use Kamba across 12 real workflows.
See all use cases →
Get started
Run Kamba on your data.
See how your team moves from question to finished analysis — in one system, in seconds.