BLZN.AI Enterprise
ICT/MTF algorithmic trading & backtesting.
The problem it solved
Discretionary trading strategies couldn't be tested, audited or run reliably at scale. This turns an ICT strategy into a backtest→paper→live engine with serious reliability guarantees.
Similar problems it can solve
Any quantitative/automated trading or signal system, high-reliability time-series journaling, and audit-grade financial data pipelines.
An enterprise algorithmic-trading platform implementing ICT multi-timeframe strategies: a .NET backtest / paper / live engine, a WPF management center, an ASP.NET Core web app and an API proxy, with InfluxDB 3 + SQL Server journaling behind an outbox-pattern reliability layer.
- ICT multi-timeframe signal engine (backtest · paper · live)
- Eight-layer persistence + InfluxDB outbox / replay
- WPF management center + Web + API proxy
Overview
BLZN.AI Enterprise is an institutional-grade algorithmic-trading platform that takes a discretionary ICT (Inner Circle Trader) methodology and turns it into a fully automated, auditable system spanning the whole lifecycle — backtest, paper and live — with the reliability guarantees a money-handling system demands.
One platform, many components
It is a multi-project solution: a strategy/engine Library, a BacktestRunner, a WPF Management Center, an ASP.NET Core web app, an API proxy to the broker, an InfluxDB host, a database project, and JS + .NET test suites.
Engineering depth
The serious work is reliability and observability. A unified journal is the single chokepoint for all research data, tagging every tick and evaluation with its mode so Backtest, Paper and Live are queryable side by side. Eight persistence layers each carry their own resilience strategy — an outbox pattern disk-queues ticks and replays them when InfluxDB reconnects, a watchdog restarts the time-series engine, and order journaling blocks on pre-submit failure. The architecture was hardened after a live-session post-mortem and is covered by a dedicated security audit.
Technology
.NET, WPF, ASP.NET Core, InfluxDB 3, SQL Server / SQLite, Serilog, and a multi-timeframe ICT signal engine.