Custom Backtesting Engine for Trading Strategies by Fernando MoscaCustom Backtesting Engine for Trading Strategies by Fernando Mosca

Custom Backtesting Engine for Trading StrategiesFernando Mosca

Cover image for Custom Backtesting Engine for Trading Strategies

I’ll help you build a Python backtesting engine to simulate and refine trading strategies using real historical data. We’ll incorporate powerful economic signals like OECD LEIs and volatility filters, and explore predictive models using Random Forests, LSTM networks, and other ML tools when relevant. The output includes strategy logic, key performance metrics, and a clean, extensible codebase.

What's included

Python Backtesting Engine

A modular Python codebase (Pandas/NumPy) that allows you to simulate trading strategies with long/short logic, entry/exit conditions, and portfolio stats.

Metrics Report

Built-in calculations for CAGR, Sharpe ratio, max drawdown, and win rate, returned in a clear summary or notebook.

Sample Notebook or Script

Example usage with your first strategy pre-loaded, so you can start iterating right away.

Fernando's other services

Cover image for Your trading idea into a working, backtestable strategy

Your trading idea into a working, backtestable strategy$180

Starting at$250

Duration1 week