Platform

Sitragenx

Automated Futures Trading Engine

The execution backbone: a Binance Futures automated trading engine that performs technical-analysis-based execution. An async Python (FastAPI) and PostgreSQL architecture built for reliability and performance.

Trading
Engine
Python
Automation

overview

What it is

A production-grade Binance Futures automated trading platform that unifies strategy design, backtesting, optimization, and live bot execution in one auditable system. The portal (portal.sitragenx.com) provides a visual strategy builder, real-time position management, and per-candle execution logging. A companion strategy-intelligence layer — in active development — adds continuous robustness fuzzing and a versioned strategy registry with a promotion workflow. It is built for small trading teams of two to five operators.

capabilities

Key features

Technical-Analysis Automated Execution

Executes trades automatically from technical-analysis signals on Binance Futures.

Async High-Performance Backend

An async Python (FastAPI) and PostgreSQL stack tuned for reliability and throughput.

REST-Driven, Integrable Engine

A REST-driven engine designed to integrate cleanly with the products that orchestrate it.

Production-Grade Deployment

Built and operated as a production engine rather than a one-off script.

why it matters

Benefits

Analysts can reconstruct exactly why any trade decision was made, through per-candle indicator and condition logging.
Strategies can be stress-tested under noise, regime shifts, and black-swan conditions before real money — via the fuzzing layer, which is in development.
A modular ExchangeAdapter lets new venues and assets be added without rewriting the pipeline.
A configurable promotion workflow (backtest, fuzz, paper, live) gates deployment.
The default mode is paper / testnet; going live requires an explicit opt-in.

in practice

Use cases

A team builds a strategy in the visual builder, then runs a regime-segmented backtest and walk-forward hyperparameter optimization.

Noise-injection fuzzing before a strategy is promoted in the registry (in development).

A live health dashboard with signal replay for diagnosis.

A multi-tenant admin isolating sub-accounts.

Serving as the execution backend for TradegenX over REST.

the story

Problem, approach, outcome

Problem: Designing and validating trading strategies safely needs design, backtest, and execution in one place.
Approach: A platform unifying a visual strategy builder, a candle-by-candle backtester, hyperparameter optimization, and live bot execution.
Outcome: A production system with per-candle decision auditability; live trading is explicit opt-in.

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Let's talk

Interested in Sitragenx, or want to see how it could fit your work? Email is the best way to reach TRAGenX — send us a note and we'll get back to you.

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