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Free Quant Finance Tools

Interactive tools to help you drill mental math for trading OAs, explore options pricing, practise interview questions, understand quant salaries, and visualise stochastic processes.

Python Playground

Free in-browser Python editor with medium–hard quant challenges — rolling Sharpe, binomial trees, pairs signals. Same Monaco editor as Quantt, with hints and checks.

PythonEditorChallenges

Mental Math Trainer

Drill arithmetic at interview pace. Untimed practice or 60-second sprints across addition, multiplication, division and percentages — the skills trading OAs test.

Mental MathOA PrepSpeed

80 in 8 Challenge

Free Optiver-style simulator: 80 questions in 8 minutes with +1/−1 scoring. Built for trading firm online assessment prep.

Optiver80-in-8Timed

Probability Visualizer

Explore Normal, Binomial and Poisson distributions with live PDF and CDF charts. Tune parameters and evaluate probabilities.

ProbabilityPDF/CDFInterview

Black Scholes Calculator

Free Black-Scholes calculator for European call and put prices, d1, d2 and Greeks. Number inputs, instant results - built for the keyword people actually search.

Black-ScholesCalculatorGreeks

Options Pricing Playground

Interactive Black-Scholes explorer with live sliders and payoff charts. See how prices and Greeks move as you change spot, strike, vol, time and rate.

Black-ScholesPayoff ChartDerivatives

Interview Question Generator

Practice with 30+ real quant interview questions across probability, brain teasers, mental math, market making, statistics, and coding. Filter by category and difficulty.

ProbabilityBrain TeasersCoding

Quant Salary Calculator

Explore estimated compensation ranges for quant roles across different firm tiers, experience levels, and locations. Base salary, bonus, and total comp breakdowns.

SalariesCareersFirms

Monte Carlo Simulator

Visualise how prices evolve under Geometric Brownian Motion, mean reversion, and jump-diffusion. Adjust parameters and watch hundreds of paths generate live.

SimulationStochastic ModelsRisk

More free resources

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