Quantitative finance is just a fancy way of saying: turn vague feelings about the market into numbers you can actually test. A 'quant' does this for a living, and the whole appeal is that the numbers don't care how you feel about a stock. This page teaches the ideas, not risky financial advice.
About 2 min of reading
Every quant project starts with data: prices, volumes, earnings. Without clean data, no model is trustworthy, and finding or loading that data is usually the bulk of the work before any interesting thinking happens.
A quant doesn't guess. Every claim needs a number and a test run against real history. If a strategy can't be shown to work on past data, it sits on the shelf. Beliefs don't count for anything here.
Apple closed at $150 yesterday and $153 today.
The price went up $3, or about 2%.That's the entire job, distilled. A quant takes a raw price and turns it into a percentage, a comparison, a trend. One day it's a note. Over years of history it becomes something you can actually test.
Oil rose 5% on a supply cut.
A quant flags this as a possible signal for energy stocks.Most people read a headline and react. A quant reads it and asks a quieter question: what would I have done, and could I have tested that guess against the last ten years? Reading the world and turning events into testable numbers is what sets them apart from the crowd.
# A strategy is just a written set of rules
if price_below_average():
buy()
if price_above_target():
sell()The moment you write an idea down as code, you stop arguing about it and start testing it. You can no longer say "I knew it would work" when you never actually tried. That's a relief, not a restriction.