MatheLinuxQuant research · software · education
MatheLinux
We research markets, build the software that tests whether a trading edge is real, and teach the mathematics behind both.
Verdict
Conditional pass
Edge holds under costs; deploy only with same-bar execution.
Product · Early access
An independent audit of whether a strategy's reported performance reflects a real edge, or luck, overfitting, data errors, and unrealistic assumptions.
A trade log or return series, and how many variants were tried before this one. Code is optional.
Tests and pass/fail criteria are fixed and hashed before anything runs. The engine runs them in isolation and a reviewer checks the result.
One of four verdicts, the findings behind it, and a reproducible report. The full evidence is there when you want it.
Research
Seven research lines, from systematic trading to high performance computing. Each one is backed by courses we already teach.
Signals, execution, and microstructure tested before capital
Stochastic models, pricing, and measure change
Machine learning that survives honest backtests
Deep learning and optimization for quantitative problems
Production C++/HPC systems and risk engines
FX, energies and commodities, rates, futures, and derivatives
GPU, parallel, and low-latency computing for quant workloads
OverviewAll research areas →Education
24 courses and 278 lessons, from calculus and probability to stochastic volatility, C++ for quants, and financial machine learning.
