The problems we are brought in to solve.
The edge works, but it needs you awake and watching. Missed entries are not a strategy problem, they are an execution problem.
Positions across several platforms, no consolidated view, and manual reconciliation at the end of every session.
You believe the rules work. Nobody with a quantitative background has ever tested that against your own data and told you the truth.
Named deliverables, not capabilities.
Our quants stress-test your rules against your history: where the edge comes from, whether it is decaying, and what it is actually sensitive to.
Your rules encoded and connected to your brokers, with order handling designed for the size you actually trade.
One interface to design, backtest, deploy, monitor and intervene, including a kill switch and position-level control.
Most clients keep us on afterwards to monitor behaviour and keep improving risk-adjusted performance as conditions change.
Jovany Milo
A live Interactive Brokers account wired into automated execution and signal broadcasting, so entries fire on the rules rather than on being at the desk. What had been a manual routine became a system that runs unattended and reports what it did.
Projects like yours.
Drawn from live engagements. Client names are withheld except where a client has agreed to be named.
One account traded manually, positions mirrored into others through the IBKR TWS API, with position sizing scaled per account rather than copied one for one.
Real-time market data pulled off the TradeStation API into a dataframe the trader could run their own logic against, instead of being limited to what the platform exposes.
A single panel showing live conditions across instruments, so the trader stopped switching charts to work out what was setting up.
Several indicators merged into one signal, with alerts routed through to app and email so entries did not depend on watching the screen.
A backtesting harness run against the trader’s own historical data rather than vendor samples, so results reflected the instruments and timeframes actually traded.
The same rule set deployed across a crypto exchange and an FX platform, with a shared risk layer rather than two systems drifting apart.
Exchange API integration with OCO order management, WebSocket market data and dynamic risk sizing, deployed containerised and running continuously.
Where a product is public we show it: CF Trading, Ticker Tape and iDividendStocks all have real screens on their case studies. Client trading systems are a different matter, and for those we will walk you through the architecture, the approach and the outcome on a call.
Read the full case studies.
Live data, execution, portfolio and alerts in one window, with a candle-based take-profit promotion engine underneath it.
Trend, momentum, volatility and liquidity measures reproduced exactly, so your research and your live engine agree.
EMA crossover entry and exit on ES and VX futures, validated against history the client supplied.
Structured signal messages parsed and executed, with a staged stop-loss ladder and manual override on every open position.
One build, to the letter.
One system we built, with the specification it was held to. This is the level trading rules actually live at: not "automate my strategy", but a routine with thresholds, timings and exits already worked out.
Encoding it faithfully is the job. A rule that is almost right produces results that look plausible and are wrong, so it was built to match the spec exactly and tested against the client’s own data. The candle-by-candle take-profit engine is specified the same way on the Interactive Brokers dashboard case study above.
Four steps, fixed price before any build.
Free, with an engineer. If there is no defensible edge, or no viable product in it, we say so then.
Architecture, milestones and a fixed price, agreed before any build.
Milestone demos against your own data. Nothing touches capital untested.
A documented codebase your own developers can maintain. Retainer optional.
Common questions.
We tell you, before you spend money building it. That conversation is the most valuable part of the engagement.
Over fifty platforms to date and it is not geography-dependent: Interactive Brokers, Schwab, TradeStation, Tradovate, NinjaTrader, MT4/MT5, Oanda, Pepperstone, FXCM, Binance, Bybit, OKX and anything CCXT supports.
Yes, code and IP outright on completion, with documentation so you or your own developer can maintain it.
Tell us what you're working on.
A specialist reads every enquiry, not a sales team. Bring your rules, your current setup and your constraints, and we will tell you what we would build and roughly what it takes.
Get in touchQuants and engineers building trading and investment systems, infrastructure and products.