Independent by design
Multiple strategies can run side by side, each specified before it becomes code and independently switchable.
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.
SATTVA CAPITAL
कर्मसु कौशलम्
EXCELLENCE IN ACTION
“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.
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 ↓From the first tick to the final reconciliation, the workflow is designed to keep decisions explainable and activity accountable.
Our capabilities are designed to work together—from finding and testing ideas to placing orders and verifying what happened.
Multiple strategies can run side by side, each specified before it becomes code and independently switchable.
Screen markets, sectors and individual instruments to identify relative strength, fading momentum and emerging moves.
Historical analysis and paper runs help challenge an idea before it is exposed to live capital.
Monitor pricing relationships between related instruments and evaluate dislocations against defined rules.
A common adapter layer helps keep strategy logic separate from broker-specific order interfaces.
Orders, parameter changes and human interventions are logged to support review, reconciliation and learning.
Risk controls surround the process. An order should not reach a broker without passing through the relevant checks.
Normalised feeds for supported instruments and markets.
Rules tested against historical data and simulated runs.
Limits, market-hour gates, reject handling and stop controls.
Orders routed through the controlled broker interface.
Fills and positions checked against broker records.
Good automation is not simply fast. It is bounded, tested, observable and honest about failure.
Kill switches, order caps, market-hour gates and timeouts help prevent an automated process from running unchecked.
Historical testing and paper runs are opportunities to challenge assumptions before live deployment.
Understanding the data, engine, order path and records makes systems easier to inspect, improve and troubleshoot.
A system should report problems clearly rather than conceal them behind an appearance of normal operation.
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.
contact@sattvacapital.ai ↗