A 78 percent golden cross win rate is a frequency claim, not a wealth claim. QuantifiedStrategies’ 33-signal S&P 500 backtest from 1960 through 2026 logs the 78 percent figure alongside a 40 basis point annualized drag.
Golden Cross Win Rate: What Winning Trades Leave Out Read More »
Compare SMA and EMA crossover rules on the same SPY data. See how trading costs, EMA settings and drawdowns affect the results before choosing a rule.
SMA vs EMA Crossover: Which Should You Use? Read More »
A trendline can look predictive when its anchors were chosen after the result. Learn when a line becomes usable and apply four checks before it affects a trade.
Trendline Survivorship Bias: Why a Line That Worked Can Mislead You Read More »
Round prices attract measurable trading attention, but the evidence does not show that they reliably hold or reverse. This guide separates clustering from prediction and gives a practical order-decision framework.
Support and Resistance at Round Numbers: What the Evidence Shows Read More »
Candlestick patterns can mark reversals without proving a tradable edge. Separate reversal rate from trade win rate, then test payoff, costs, sample size, and out-of-sample results.
Do Candlestick Patterns Work? What Win Rates Miss Read More »
Audit a technical trading rule before risking capital. Check its search history, realistic costs and untouched-data results with a worked backtest and worksheet.
Does Technical Analysis Work? A Backtest Audit Before You Trade Read More »
A practical decision-based workflow for reading a 10-K, comparing the filing with the prior year, reconciling MD&A with the statements and notes, and escalating audit or control concerns.
How to Read a 10-K Without Missing What Matters Read More »
Use five SEC filing checks to separate a persuasive CEO story from evidence that deserves more diligence.
CEO Red Flags: 5 SEC Filing Checks Before You Buy Read More »
An economic moat can identify a durable business, but it cannot tell you whether the stock or ETF is worth buying. This guide separates rating, evidence, valuation, and portfolio fit.
Economic Moat: Why a Great Business Can Still Be a Bad Buy Read More »
EV/EBITDA vs P/E: a 128.7% distortion, a $214,285 30-year gap, benchmarked against a 12.8x median APAC deal multiple.
EV/EBITDA vs P/E: Which Valuation Multiple Fits the Decision? Read More »
