Custom algorithmic trading software development

What “custom” actually means

Most algo software is a template you bend your idea to fit. We work the other way round. You give us the rules: entry and exit conditions, position sizing, risk limits, which instruments, which timeframes, and we write software that does exactly that, and nothing it wasn't told to.

We're engineers, not advisors. We don't supply strategies, signals or tips, and we don't tell you what to trade. The strategy, the risk parameters and every execution decision stay yours. If you want a system that trades for you out of the box, we're not the right people, and it's worth being careful of anyone who says they are.

What goes into it

A working automated system is more than a signal. We build the whole chain:

• The logic. Every calculation your strategy needs: standard technical indicators or your own quant formulas, implemented exactly to your specification.
• Order management. Placing, modifying and cancelling orders through your broker's API, with the order types your strategy actually uses.
• Risk management. Position sizing, exposure limits and stops enforced in code, per account, before an order goes out.
• Execution. Straight through to your broker, to one broker or several at once, with no manual step unless you want one.

The part that separates a demo from a live system

Anyone can make a backtest look good on a clean afternoon. What decides whether a system survives a live market is the unglamorous engineering underneath, and it's most of the real work:

• Reconnecting cleanly after a dropped connection, without double-sending orders.
• Handling partial fills, rejections and broker rate limits.
• Reconciling what the system thinks it holds against what the broker actually shows.
• Margin checks before an order, not after a surprise.
• Time zones, market holidays and contract rollovers that quietly break naive code.

This is why “can't AI just do this now?” is the wrong question. The strategy might be simple; keeping it running correctly against a real broker, with real money, is not. It's the difference we're paid for.

You can see this in practice in our case studies, from a multi-broker trading platform to automating a 0DTE options strategy.

Any language, any platform your strategy needs

We're language-agnostic. Python for research and most execution; C++ when you need microseconds; C# for NinjaTrader; Java for enterprise systems; MQL5 for MetaTrader. We pick the right tool for your platform and latency budget, not the one we happen to prefer.

The same goes for where it runs. We've built on Interactive Brokers, NinjaTrader, TradeStation, Sterling, MetaTrader, TradingView, Zerodha, Angel One and many more, across stocks, futures, options, forex, commodities and crypto, the markets we automate. See the full platform list on the technology page.

How we work

You tell us what you want built. We come back with the questions that turn it into a real scope, cost and timeline, including the third-party data or infrastructure it genuinely needs, and the parts it doesn't. A straightforward system can be ready in about ten days; a multi-broker platform with a dashboard takes longer. Every project includes a month of support after delivery. Full detail on how we work.