If it is repetitive and rule-based, it can be automated

Algorithmic strategy development

You have a set of rules — entry conditions, exit conditions, position sizing, risk limits. We turn them into production code that implements exactly that specification, with the edge cases written down and handled rather than discovered later.

• Rules captured in a written specification you approve before coding starts
• Implementation in Python, C++, MQL4/MQL5 or Pine, as the platform requires
• Deterministic, testable logic with the risk limits enforced in code
• Readable source and documentation, so another engineer can maintain it

Backtesting & research tooling

A simulation harness that replays your historical data against your rules so you can evaluate your own idea. We build the tool and hand it over — the research conclusions are yours to draw, on your data.

• Event-driven simulation engines with realistic fill assumptions
• Transaction cost, brokerage, statutory charge and slippage modelling
• Walk-forward and out-of-sample harnesses to test robustness
• Report generation so results are reproducible rather than remembered

Broker & exchange API integration

Connecting software to the venue it has to trade on is where most projects actually fail. Authentication, order lifecycle, partial fills, reconnects, rate limits and reconciliation all have to be handled properly.

• REST, WebSocket and FIX integrations against Indian and international brokers
• Order placement, modification, cancellation and fill reconciliation
• Session handling, token refresh, reconnection and rate-limit back-off
• Built against the client's own credentials — we never hold them

Dashboards & monitoring

Software that runs unattended needs to be able to tell you when it is unwell. We build the operational layer that makes an automated system observable.

• Web dashboards showing system state, positions and activity
• Health checks, heartbeat monitoring and failure alerting
• Structured logging and searchable audit trails
• Scheduled operational reports by email or messaging

Market data & pipelines

Collecting, cleaning, storing and serving data reliably — with gaps surfaced rather than quietly interpolated, because a silent gap in a dataset is worse than a loud one.

• Historical and intraday data collection from vendor and broker feeds
• Cleaning, corporate-action handling, validation and gap detection
• Storage design and query interfaces for research workloads
• Scheduled refresh jobs with monitoring and failure alerts

General business automation

Not every problem is a market problem. A great deal of what we are asked to automate is ordinary back-office work that happens to be tedious and error-prone.

• Reconciliation between systems, statements and spreadsheets
• Report and document generation on a schedule
• Data entry elimination, file processing and scraping
• Internal tools, integrations and workflow automation

Indian equities & derivatives

NSE, BSE and MCX — cash equity, futures and options. Familiar with the statutory charge stack, circuit limits, corporate actions and session structure.

Forex

Spot and CFD platforms including the MetaTrader family, where most work is Expert Advisor development and testing in MQL4 or MQL5.

Commodities & other venues

Commodity and digital-asset venues that expose a documented API. If it has an API and a sandbox, we can build against it.