Portfolio & open-source code

MT5 Expert Advisors, Interactive Brokers bridges and risk tools. The code is public, so you can read it.

70+
Public Repositories
MQL5 • Py
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Case studies

How two real systems were planned, built and tested.

CASE STUDY 01 • MT5 MULTI-ENGINE SYSTEM Production Verified

IJESHA Multi-Asset Prop Scalper Engine

Challenge

A prop-firm trader needed to automate multi-pair scalp entries across EURUSD and XAUUSD with hard daily loss cutoffs and spread volatility filtering during high-impact news.

Architecture

Event-driven MQL5 state machine utilizing zero-copy circular memory buffers for tick analysis, coupled with an independent Equity Guardian class monitoring floating account drawdown.

Testing & Deployment

Stress-tested on multi-year real-tick data in MT5 Strategy Tester under variable spread conditions. Deployed on a low-latency London VPS with automated Discord alert hooks.

CASE STUDY 02 • PYTHON EXECUTION BRIDGE Production Verified

Interactive Brokers Async Python TWS Bridge

Challenge

A quant client needed an asynchronous execution pipeline to route model signals from Python to Interactive Brokers without blocking during socket reconnects.

Architecture

Python 3.12 AsyncIO service with persistent TWS API socket wrapper, queue-based order worker, slippage tolerance filters, and heartbeat monitoring.

Testing & Deployment

Validated with paper-trading accounts under synthetic network dropouts. Delivered as a Dockerized Linux service with JSON audit logs and Telegram telemetry.