Your trading idea into a working, backtestable strategy by Fernando Mosca Your trading idea into a working, backtestable strategy by Fernando Mosca
Your trading idea into a working, backtestable strategyFernando Mosca
Have a trading strategy idea but not sure how to code it? I’ll take your logic — indicators, filters, timing rules — and turn it into clean, backtestable Python code.
Whether you're testing breakout setups, macro signals like OECD LEIs, or machine learning-driven triggers, I’ll help you get from concept to execution-ready.
Includes performance snapshot and backtest integration so you can iterate fast.
What's included
Strategy Logic Implementation
Python implementation of your strategy’s entry/exit rules, indicators, stop-loss or sizing logic. Delivered as clean, documented functions or classes.
Backtest-Ready Code
Code structured to run on a backtesting system (mine or yours), including helper components and integration-ready format.
Initial Performance Report
Basic performance snapshot including Sharpe ratio, CAGR, max drawdown and a chart with simulated portfolio value over time.
FAQs
Momentum, trend-following, mean reversion, volatility filters, macro-based, custom indicators, and more.
Nope. You can describe the logic in plain English — I’ll translate it into clean Python code.
Yes, just provide the structure or example format, and I’ll adapt the logic to plug into your system.
Your trading idea into a working, backtestable strategyFernando Mosca
Starting at$180
Duration5 days
Tags
pandas
Python
scikit-learn
TensorFlow
Software Engineer
Have a trading strategy idea but not sure how to code it? I’ll take your logic — indicators, filters, timing rules — and turn it into clean, backtestable Python code.
Whether you're testing breakout setups, macro signals like OECD LEIs, or machine learning-driven triggers, I’ll help you get from concept to execution-ready.
Includes performance snapshot and backtest integration so you can iterate fast.
What's included
Strategy Logic Implementation
Python implementation of your strategy’s entry/exit rules, indicators, stop-loss or sizing logic. Delivered as clean, documented functions or classes.
Backtest-Ready Code
Code structured to run on a backtesting system (mine or yours), including helper components and integration-ready format.
Initial Performance Report
Basic performance snapshot including Sharpe ratio, CAGR, max drawdown and a chart with simulated portfolio value over time.
FAQs
Momentum, trend-following, mean reversion, volatility filters, macro-based, custom indicators, and more.
Nope. You can describe the logic in plain English — I’ll translate it into clean Python code.
Yes, just provide the structure or example format, and I’ll adapt the logic to plug into your system.