Ebooks & guides
Tech & Finance resources to turn a promising backtest into a tenable edge.
Market regimes & volatility
Trading
Market regimes & volatility
Detect regimes, test your edge's robustness in high volatility, and filter intelligently.
Anti-Overfitting: validating a quant edge
Trading
Anti-Overfitting: validating a quant edge
The complete method to tell a real signal from overfitting: DSR, CPCV, test budget.
2026 Strategic Playbook: Optimizing RRSP + FHSA & Real Estate Tax Arbitrage
Portefeuille
2026 Strategic Playbook: Optimizing RRSP + FHSA & Real Estate Tax Arbitrage
The authoritative quantitative manual to maximize your Canadian down payment and net worth: RNF formulas, FHSA ($40,000) vs enhanced $60k HBP tax arbitrage, provincial deduction scheduling, and 1-to-5-year asset allocation frameworks.
Excel & Notion Financial Model: Canadian Real Estate Acquisition & Stress-Test
Macro & Risque
Excel & Notion Financial Model: Canadian Real Estate Acquisition & Stress-Test
The turnkey financial model used by analysts: Buy vs. Rent simulator (5% rule), semi-annual compounding mortgage calculator, Year-5 interest renewal shock (+200 bps), and FHSA/HBP down-payment tracker.
Custom Portfolio Audit: Canadian Mutual Fund MER Elimination & ETF Transition Blueprint
Portefeuille
Custom Portfolio Audit: Canadian Mutual Fund MER Elimination & ETF Transition Blueprint
The institutional audit blueprint to dismantle hidden bank mutual fund fees (RBC, TD, BMO, BNS, CIBC, NBC, Desjardins) and execute a frictionless tax transition to 0.06% - 0.20% TSX index ETFs.
7 Costly Mistakes with RRSP & FHSA in Canada: The Tax Arbitrage Checklist
Portefeuille
7 Costly Mistakes with RRSP & FHSA in Canada: The Tax Arbitrage Checklist
Free — The complete quantitative checklist to maximize your Canadian home down payment: FHSA ($40,000) vs. HBP ($60,000) mathematical arbitrage, Net Future Return (RNF) equations, Series A MER elimination, and optimal tax-refund compounding.
Systematic Portfolio Optimization: Taming Estimation Error
Portefeuille
Systematic Portfolio Optimization: Taming Estimation Error
Free — the complete institutional quant pipeline: RMT spectral filtering, Ledoit-Wolf shrinkage, risk parity (ERC/HRP), HMM regime detection, Half-Kelly sizing under CVaR, and anti-p-hacking audits (DSR, CPCV).
Clean backtesting in Python
Python
Clean backtesting in Python
Avoid look-ahead bias, handle costs and slippage, and produce trustworthy returns.
Risk management & position sizing
Portefeuille
Risk management & position sizing
From fractional Kelly to stops: sizing without blowing up on an estimation error.
From backtest to real capital
Finance
From backtest to real capital
The bridge from a nice backtest to live execution: paper trading, drift, and operational discipline.
Statistics for traders (no useless math)
Finance
Statistics for traders (no useless math)
The concepts that truly matter: return distributions, significance, confidence intervals.