Automated Trading System
My work on Pricesearcher's FX/CFD trading platform: MetaTrader execution, a Python trade engine, strategy research, data collection and reporting.
My work on Pricesearcher's FX/CFD trading platform: MetaTrader execution, a Python trade engine, strategy research, data collection and reporting.
A scheduled MetaTrader 5 pipeline that stores one-minute bars as partitioned Parquet on S3, with local caching and historical backfills for research.
FX/CFD pair-trading research and execution: statistical selection, scheduled signals, MQL5 and Python engines, backtesting and setup monitoring.
An event-driven MetaTrader 5 runtime with an MQL5–Python socket bridge, reloadable trading setups, position management and shared historical replay.
My Python research system for comparing ML trading ideas with time-ordered evaluation, fee-aware simulations, benchmark plans and streaming features.
Advertising cost and affiliate revenue integration, with Python reporting services and a Next.js dashboard for campaign performance.
Airflow migration and operational maintenance for scheduled data pipelines, including freshness checks, Slack alerts and AWS infrastructure.
Country-specific Elasticsearch indexing, product-link enrichment and Google Sheets publishing for Pricesearcher's search services.
Python API work combining Pricesearcher's product index with Amazon, Yahoo and Kelkoo offers, with client-specific interfaces and Redis-backed search features.
Python crawler and API work for merchant product data: S3-managed sitemaps, compressed sitemap support and crawl scheduling on AWS.
Affiliate feed download, normalisation and Elasticsearch indexing for offers and vouchers, plus Kelkoo link-cache synchronisation.
Merchant feed ingestion and Spark enrichment, with download retries, country-specific processing and product data prepared for search.
Tell me what is slowing the business down, what you have tried, and what a successful outcome looks like. I'll help you identify the most sensible next step.