Omega Ratio Explained: Formula, Worked Example, and the Omega Curve
The Omega ratio explained: the gains-over-losses formula, a plain-number worked example, how to read the Omega curve, and why it catches skew that Sharpe misses.
9 min readThe Omega ratio explained: the gains-over-losses formula, a plain-number worked example, how to read the Omega curve, and why it catches skew that Sharpe misses.
9 min readThe historical volatility formula explained: log returns, standard deviation, annualizing with √252, a plain-number worked example, EWMA and range estimators.
8 min readVolatility targeting explained: the exposure formula, how to estimate realized vol, a plain-number worked example, what the research says, and where the rule breaks.
7 min readAlpha decay explained: why trading edges erode, and a rolling-expectancy and drawdown test for deciding when a strategy has stopped working.
9 min readThe Sortino ratio explained: the downside-deviation formula, a plain-number worked example, how it differs from the Sharpe ratio, and the mistakes that make it lie.
9 min readWhat market inefficiency really means, why mispricings persist despite arbitrage, and how traders find and test an exploitable inefficiency step by step.
8 min readBetting against beta explained: why low-beta stocks beat CAPM's forecast, how the BAB factor is built, and how to test the anomaly in your own backtests.
9 min readWhat walk-forward analysis is, how to set up rolling optimization and test windows, and how walk-forward efficiency separates robust strategies from curve fits.
8 min readWhat out-of-sample testing is, how to split your data without fooling yourself, and a worked example showing how it exposes curve-fit trading strategies.
8 min readThe trade expectancy formula tells you what your average trade is worth. How to calculate it from your log, what counts as good, and why win rate misleads.
7 min readWhat profit factor measures in trading, how to calculate it from gross wins and losses, what counts as a good number, and the traps that inflate it in backtests.
8 min readWhat look-ahead bias is, the five ways it sneaks into backtests — restated data, same-bar fills, full-sample statistics — and how to detect and prevent it.
9 min readWhat the Calmar ratio measures, how to calculate it from CAGR and maximum drawdown, and why the 3-year window can hide risk — with plain-number examples.
8 min readA buy-the-dip backtest on every S&P 500 drawdown since 1990: win rates by dip depth, what −5% vs −20% dips returned, and the full dataset to download.
7 min readSmart beta ETFs promise factor premiums at index-fund prices. How the weighting rules work, where returns get diluted, and how to vet a fund before buying.
8 min readFactor investing targets the traits that explain stock returns — value, momentum, size, quality, low volatility. How the premiums work and how to use them.
8 min readThe risk-reward ratio weighs what you can gain against what you risk on a trade. Learn to calculate it, pair it with win rate, and avoid the classic traps.
8 min readA trading journal turns a pile of trades into data you can act on. Learn what to log, a worked example, and the mistakes that make most journals useless.
7 min readPosition sizing in trading decides how much you risk per trade — the lever that controls survival. Learn the fixed-fractional method with worked numbers.
7 min readLearn how to backtest a trading strategy properly: clean data, realistic costs, out-of-sample testing, and the metrics that separate edge from luck.
8 min read