BRYME Tech · section
Quantitative computing
The QuantLab project: a one-person research lab in Python, and what ~140 documented experiments taught — failures included. Educational research, never investment advice.
7 guides
Everything in Quantitative computing.
- How I built a quantitative research lab in Python — one person, no Bloomberg terminalQuantLab is a research framework for systematic trading strategies, built as one script per experiment with a …
- What ~140 documented trading experiments taught me (most of them failed)Ninety-five crypto runs, nine forex runs, a strategy freeze, and a blind re-test campaign that overturned the …
- Lookahead bias: the bug that makes backtests lie — and how our own got caughtThe classic backtest error, its everyday disguises, and the audit that found a champion strategy's numbers wer…
- The validation gauntlet: what a backtest must survive before you believe itWalk-forward, untouched holdouts, cost gates, bootstrap intervals, Monte Carlo, leave-one-out: the checklist Q…
- Four ways a profitable backtest still loses moneyCost drag, measurement artifacts, universe-specificity and regime change — the four failure modes, each discov…
- Building the paper-trading bot: SQLite, Telegram, and why it never goes liveA paper-trading bot is where a validated strategy meets boring reality: scheduling, state, alerts, and an audi…
- Overfitting: how to catch yourself fitting the pastThe most expensive mistake in quantitative work doesn't feel like a mistake — it feels like success. The tells…
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