Quantitative finance is much more than trading bots and automated indicators.

It’s the application of mathematics, statistics and data to financial decision-making.

Within quantitative trading, the real work goes far beyond writing an algorithm.
Data quality. Hypothesis development.

Backtesting. Validation. Risk management. Execution.

An automated strategy isn’t automatically a profitable one.

And a profitable backtest isn’t necessarily evidence of a genuine trading edge.

I’m currently learning how to build that research process from the ground up and documenting the experience through After Hours Quant.

For a closer look, I share biweekly behind-the-scenes research notes covering what I’m learning, building and testing.
Subscribe to my free newsletter — link in bio.

#Trading #QuantFinance #QuantTrading #SystematicTrading #AlgorithmicTrading #AfterHoursQuant