Trading Edge
Check indicator settings, trading rules, and the evidence behind a signal before using it.
About this section and its research approachResearch Library
Latest Trading Edge Analysis
Technical signals, backtest failures, execution costs, market timing rules, and evidence that survives hindsight.
Jun 1, 2026
TradingView Settings for Investors: RSI and MACD Mistakes
A practical RSI and MACD setup for portfolio reviews, with daily-versus-weekly RSI charts, saved-alert guidance, and two rules that turn the same RSI into different holding and cash periods.
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May 25, 2026
Portfolio Tracker Sync Delay: Live Prices, Stale Holdings?
Live prices can sit on top of stale holdings. Compare share counts, calculate the display difference, and see why a recent trade may still be missing.
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May 22, 2026
Does Volume Precede Price? What the Research Actually Shows
Trading volume can add information, but a larger bar is not a universal directional signal. Compare momentum and OBV evidence, then test whether your volume filter adds value.
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May 19, 2026
Does the Bollinger Squeeze Work? Evidence and Trading Rules
A Bollinger Squeeze identifies volatility contraction. Examine direct research and a complete hypothetical rule before trusting a claimed trading win rate.
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May 16, 2026
Does MACD Work? What the 12/26/9 Evidence Shows
Check what the 12/26/9 MACD evidence shows. Compare five-market research and a disclosed SPY test, including costs, drawdowns and limits, before acting on a signal.
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May 13, 2026
RSI Overbought Signal: Why 70 Is Not an Automatic Sell
An RSI reading above 70 is not an automatic sell. Check position limits, predefined exits and re-entry rules, with a disclosed SPY example and research limits.
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May 11, 2026
Golden Cross Win Rate: What Winning Trades Leave Out
A high golden cross win rate can still mean lower returns. Compare gains, losses, cash, and costs, then explore two return paths with a scenario calculator.
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May 8, 2026
SMA vs EMA Crossover: Which Should You Use?
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.
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May 6, 2026
Trendline Survivorship Bias: Why a Line That Worked Can Mislead You
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.
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May 4, 2026
Support and Resistance at Round Numbers: What the Evidence Shows
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.
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Trading EdgeTest the Rule Before You Trade It
A trading signal is only useful after it survives the parts most backtests avoid.
We test technical rules against data-snooping, transaction costs, taxes, and out-of-sample evidence.
Backtest Evidence
Trading Costs
Out-of-Sample Tests
The Survival Test
How We Test a Claimed Trading Edge
A profitable chart in hindsight is not enough. The analysis has to show that the rule was defined before the result, survives realistic execution costs, and continues to work outside the sample that produced it.
01 · Signal
Was the rule defined clearly?
We separate testable entry and exit rules from visual pattern recognition that changes after the chart is already known.
02 · Friction
Does the edge survive implementation?
Turnover, spreads, slippage, taxes, and missed market exposure are included before a gross backtest is called investable.
03 · Survival
Does it work beyond the original sample?
We look for multiple-testing corrections, regime robustness, and out-of-sample evidence rather than rewarding one attractive historical period.
Backtest analysis for education and further research, not a recommendation to trade any signal or security.