Fooled by Randomness
Nassim Nicholas TalebLuck masquerading as skill, survivorship bias, fat tails — the statistical-honesty mindset in narrative form. Makes A1/A2 click emotionally, not just intellectually.
Reading room · the canon, staged
The app is the spine — right order, retention, practice. These books are the depth layer: the same ideas in a second voice, ~20–30 minutes a day alongside. Every lesson also cites its academic sources at the bottom; this page is the read-along plan.
No math needed. Readable in bed. These build the statistical-honesty mindset the whole curriculum stands on.
Luck masquerading as skill, survivorship bias, fat tails — the statistical-honesty mindset in narrative form. Makes A1/A2 click emotionally, not just intellectually.
Why passive indexing is the baseline every strategy must beat. Inoculates you against 90% of financial marketing.
Short, plain-language behavior-and-compounding wisdom. The long-term-portfolio companion.
The working library of an independent systematic trader. Read actively, with the app’s exercises.
Ex-AHL fund manager on building rule-based strategies with realistic expectations, position sizing, and costs. If you read only one book, read this one.
Short, honest, retail-focused: what independent quant trading actually involves — backtesting pitfalls, infrastructure, expectations.
The scientific method applied to trading rules, with brutal treatment of data snooping. The rigorous answer to chart-pattern trading.
Buy each only when its track opens. Reference books bought early become shelf guilt.
The derivatives reference. Read chapters when B4 and the options lessons cite them.
The D1 time-series companion. Mathematical; consult alongside stationarity/ARMA/GARCH lessons.
The modern backbone of backtest methodology and ML-in-finance (deflated Sharpe, purged CV, meta-labeling). Hard — attempt after D4.
When you set up the long-term portfolio for real: allocation, rebalancing, costs — same honest style as Systematic Trading.
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