Trading & fintech systems
Infrastructure that holds up around the clock
I build what algorithmic trading actually runs on: market data collection, order execution, position and PnL accounting, risk layers, backtesting on real history, monitoring and a kill switch. I have spent five years inside my own trading system, so I know where these projects break — position reconciliation, execution races, and silent failures at night.
Start a projectBlocks if you need them
Each block is taken only if you need it. Nothing is bundled in by default to inflate the scope.
Included in the base scopeA loop for one venue: data, execution, accounting, risk limits, monitoring.
What you get
- 01Exchange and broker connectivity: quotes, order book, execution, position reconciliation
- 02Risk layer: limits, drawdown control, kill switch, deposit protection
- 03Backtesting on historical data with fees and slippage counted honestly
- 04Accounting: trades, fees, realised and unrealised result
- 05Monitoring and alerts: what broke, when, and why
Where I draw the line
I build the infrastructure and execution for your strategy. I do not sell signals, manage other people’s money, or promise returns — profit depends on the strategy and the market, not on the code.
