Custom Backtesting Engine for Trading Strategies

Fernando Mosca

Starting at

$

250

About this service

Summary

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.

Duration

1 week

Skills and tools

Software Engineer

Jupyter

Jupyter

pandas

pandas

Python

Python

scikit-learn

scikit-learn

Industries

Computer Software

More services

Your trading idea into a working, backtestable strategy

STARTING AT

$180

fixed rate