Solve / Quantitative systems

2026

Intraday Momentum Engine

An event-driven backtester for a minute-level momentum strategy on SPY.

PythonPandasEvent-driven SystemsBacktesting
KEY SIGNALRealistic costs + risk metrics
Technical visualization for Intraday Momentum Engine
01

THE CHALLENGE

What needed to change.

A useful strategy test needed to account for volatility, execution costs and risk rather than headline return alone.

02

THE APPROACH

How I structured the solution.

I implemented noise bands, VWAP trailing stops, volatility-targeted sizing, commissions and slippage on one-minute data.

03

THE OUTCOME

What the work demonstrated.

The engine produces trade logs and evaluates Sharpe, drawdown, alpha, beta and period returns against buy-and-hold SPY.