Independent · Systematic · Built in-house

We build the systems that trade our capital.

Sattva Capital is a proprietary trading firm with an engineering mindset: we trade only our own capital, do our own research, write our own systems, and have been running them on a live book since inception.

Our capital, our systemsRisk controls built inGlobal by design
The principle

Every position is taken by a rule, not a reaction.

“Markets move faster than anyone can react. The judgement happens beforehand — written down, tested, and handed to a machine.”

We don't buy a strategy, connect an API and call it automation. We build the research, execution, risk and monitoring ourselves, and run them on our own money.

No outside money. No discretionary calls. No black box we don't understand. Our focus is on creating systems that can be tested, observed, audited and improved.

In-houseResearch and engineering
Rule-ledSystematic decisions
Risk-firstControls around execution
AuditableOrders and interventions logged
The platform

SITA.
Built to think in rules.

Sattva Intelligent Trading Algorithms is the technology behind our trading. One integrated system carries the process from market data and research through risk checks, execution and reconciliation.

Designed, written and operated by Sattva, SITA is built to keep strategy logic and operational controls connected.

Explore the system ↓
SITA
Sattva Intelligent Trading Algorithms

From the first tick to the final reconciliation, the workflow is designed to keep decisions explainable and activity accountable.

Market dataResearch & simulationRisk controlsExecutionReconciliation
What we build

One system. Multiple layers of discipline.

Our capabilities are designed to work together—from finding and testing ideas to placing orders and verifying what happened.

01 / STRATEGIES

Independent by design

Multiple strategies can run side by side, each specified before it becomes code and independently switchable.

02 / MARKET INTELLIGENCE

From indices to instruments

Screen markets, sectors and individual instruments to identify relative strength, fading momentum and emerging moves.

03 / RESEARCH

Test before deployment

Historical analysis and paper runs help challenge an idea before it is exposed to live capital.

04 / ARBITRAGE

Observe related prices

Monitor pricing relationships between related instruments and evaluate dislocations against defined rules.

05 / EXECUTION

A consistent order path

A common adapter layer helps keep strategy logic separate from broker-specific order interfaces.

06 / AUDIT & CONTROL

Accountability by default

Orders, parameter changes and human interventions are logged to support review, reconciliation and learning.

Inside the workflow

From market signal to verified record.

Risk controls surround the process. An order should not reach a broker without passing through the relevant checks.

Market data

Normalised feeds for supported instruments and markets.

Research

Rules tested against historical data and simulated runs.

Risk & control

Limits, market-hour gates, reject handling and stop controls.

Execution

Orders routed through the controlled broker interface.

Reconciliation

Fills and positions checked against broker records.

Our approach

What we actually believe.

Good automation is not simply fast. It is bounded, tested, observable and honest about failure.

01 — SAFETY BEFORE SPEED

Brakes before acceleration

Kill switches, order caps, market-hour gates and timeouts help prevent an automated process from running unchecked.

02 — EVIDENCE BEFORE CONVICTION

Prove it before it costs

Historical testing and paper runs are opportunities to challenge assumptions before live deployment.

03 — OWNERSHIP BEFORE DEPENDENCE

Own the whole stack

Understanding the data, engine, order path and records makes systems easier to inspect, improve and troubleshoot.

04 — TRANSPARENCY BEFORE APPEARANCE

Say what is actually true

A system should report problems clearly rather than conceal them behind an appearance of normal operation.

Contact

Good systems begin with good questions.

We are not raising capital and not taking clients. But we welcome thoughtful conversations with people working across trading systems, market structure, quantitative research and execution engineering.

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