Creator: Fran Bolufer
Comunity: SQX Traders
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If you build algorithmic strategies in StrategyQuant X, you already know the hard part isn’t generating candidates — it’s deciding which ones are real. A backtest can look spectacular In-Sample and quietly fall apart Out-of-Sample. エッジ減衰アナライザー is a free custom Results plugin for SQX 144+ that gives you an objective, configurable answer: a single 0–100 score with an A–F grade, plus the breakdown to back it up.
The plugin installs as a new tab inside the 結果 section of every strategy. Select a strategy, open the tab, and it measures the quality of the edge and — crucially — how much that edge degrades from In-Sample to Out-of-Sample.
Use it to:
Just as important is what it doesn’t claim to do. It’s not a replacement for the Monkey Test, Walk Forward Matrix, or Monte Carlo. It won’t promise live profitability — only demo and forward testing can. And it’s 100% read-only: it reads data via the PostMessage API, never writes to your databanks, never touches your strategies.
The total score is a weighted sum of four pillars (default “Strategy” mode weights):
| Pillar | Weight | What it measures |
|---|---|---|
| Pro適合性 | 25% | Profit Factor, Net Profit, Avg Trade — all OOS |
| 一貫性 | 30% | Stability, PF decay IS→OOS, Win Rate — the highest weight, because persistence is the best predictor of future success |
| Risk Management | 25% | Return/DD, Max DD%, Sharpe Ratio |
| Entry Quality | 20% | Median XS (MFE/MAE) — pure entry-signal quality |
Each metric uses a transparent linear threshold system (0 / 50 / 100-point anchors with interpolation between them), so you always know why a strategy scored what it did.
Grade scale:
| Score | Grade | Verdict |
|---|---|---|
| 85–100 | A | Excellent edge. Very likely to persist OOS |
| 70–84 | B | Good edge, manageable decay. Advance to robustness tests |
| 55–69 | C | Reasonable but degrading. Validate carefully |
| 40–54 | D | Weak edge, significant decay. Probably overfit |
| <40 | F | Edge collapses OOS. Not recommended |
This is one of the most useful touches. If you’re evaluating a raw signal — Exit After Bars only, no SL/TP, fixed lot size — Edge mode relaxes the risk metrics (drawdown is naturally larger without a stop) and reweights toward Consistency and Entry Quality, so you measure the signal without trade-management noise. For complete systems with SL/TP/trailing, Strategy mode validates the whole thing with standard weights.
Requirements: SQX 144+ and a Pro license (3 plugins max) or Ultimate (unlimited). Starter licenses don’t support custom plugins.
Languages: English and Spanish, auto-detected from your SQX settings.
Uninstalling is just as clean — close SQX, delete the folder, reopen. No residue, no core modifications.
The plugin sticks to four principles: transparency over guesswork (if data can’t be computed correctly, it warns you — it never invents numbers), configurability (thresholds adapt to asset and strategy type), complementary not substitute (it’s a fast filter, not a replacement for full robustness testing), and a focus on consistency (because the persistence of the edge from IS to OOS is what actually predicts the future).
Think of Edge Decay Analyzer as the first gate in your pipeline: a fast, objective way to decide which strategies are worth the expensive robustness tests — and which ones to drop before they waste your time.
Edge Decay Analyzer v1.0 · for StrategyQuant X 144+
Credits:
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I’m trying this plugin, but when I try to analyze a strategy, I get this message. What can I do? >>>> No Out-of-Sample period detected for this strategy.
ありがとう
What is happening is that, for this plugin to work, the strategy needs to have been previously backtested on data that includes both IS and OOS, since the Edge Score is created based on the strategy’s behavior in those areas.