Tarea técnica
Description:
We are seeking a highly skilled developer to build a high-precision BTC scalping brain. The goal is to create a robust ML-driven model that analyzes live order book data for ultra-short-term opportunities and generates actionable trading signals, paired with a real-time execution engine to place trades on MT5.
Responsibilities:
Design and implement real-time data ingestion from Binance BTC order book.
Engineer features from raw order book snapshots tailored for scalping signals.
Build high-performance ML models optimized for very short-term BTC price movements.
Develop a live execution engine to place trades on MT5 based on model outputs.
Optimize for low-latency, high-precision execution in live markets.
Document code, models, and pipeline for integration.
Requirements:
Proven experience in quantitative trading systems, preferably crypto scalping.
Strong Python programming skills, including async streaming and numerical computing.
Hands-on experience with ML for time-series or order book data, tuned for short-term predictions.
Familiarity with MetaTrader5 API or similar execution platforms.
Understanding of latency optimization, risk management, and scalping mechanics.
Strong problem-solving skills and ability to design reliable, high-frequency systems.
Nice to Have:
Experience building high-frequency scalping strategies.
Knowledge of integrating models into dashboards (optional; dashboard will be handled separately).
Objective:
Deliver a fully functional BTC scalping brain capable of generating ultra-short-term signals and executing trades in live market conditions, ready for dashboard integration.
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