Research Terminal
The quant workbench you wish you had in school.
A focused workspace for learning quantitative finance and stress-testing strategies. Structured lessons, real market data, a covariance-aware portfolio builder, a vectorised backtester, and a full CPython sandbox — all in one terminal.
Lessons completed
0 / 19
0% of curriculum
Modules
6
Foundations → microstructure
Portfolio holdings
4
Σw = 100.0%
Strategies
5
Buy&hold, MA, momentum, MR, RSI
Practice solved
0 / 20
Math, puzzles, coding
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What Quantitative Finance Actually Is
Distinguish quantitative finance from discretionary trading.
Open lesson →Sandbox
Python + built-in backtester
Import qp from any cell: fetch real prices, design a strategy, get full performance metrics in one call.
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