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Screeners and scans
Build transparent conditions, choose the right universe and test repeatable market scans.
11 guides
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- 1 Choose the right screener universe A screener universe is the exact set of listings tested before any conditions are applied. It answers ‘which instruments were eligible?’ and is separate from the rule that decides which eligible rows match. 2 min read Beginner
- 2 Build and read screener conditions A screener condition compares one available field with a value or another supported state. Conditions joined by AND must all be true; a categorical field such as Supertrend Bullish uses its documented state rather than an assumed numerical ranking. 2 min read Beginner
- 3 Create a combination scan A combination scan joins two or more existing scan definitions into one transparent rule. XMarketRadar uses AND logic: every selected scan must match the same listing. It does not average scores, rank favourites or relax rules to force results. 2 min read Beginner
- 4 Backtests and historical observations A backtest walks an explicit technical rule through stored historical bars and summarizes what happened under stated entry, exit and cost assumptions. It is a historical observation, not predictive accuracy or a promise that the pattern will repeat. 2 min read Intermediate
- 5 Use Scan Center Scan Center runs named deterministic scans over a selected exchange and eligible universe with disclosed inputs. 2 min read Beginner
- 6 Use Strategy Lab Strategy Lab combines explicit conditions and historical observation settings without converting them into a recommendation. 2 min read Beginner
- 7 Test Threshold Sensitivity Threshold Sensitivity tests whether an RSI-below rule chosen on training history remains stable on later held-out sessions. It sweeps a declared threshold grid with purged walk-forward folds, an embargo and a seeded permutation comparison. It does not choose or recommend a trading threshold. 3 min read Advanced
- 8 Evaluate Multi-Timeframe Indicator Matrices The multi-timeframe matrix shows, for each NSE listing in a chosen universe, the state of an indicator on the 5-minute, 15-minute, 30-minute, 1-hour and daily timeframes side by side. 2 min read Intermediate
- 9 Build a screener dashboard A screener dashboard pins up to six of your saved screeners as cards and re-runs them together, so several rule sets can be monitored on one screen against stored market data. 3 min read Intermediate
- 10 Explore theme screens Theme screens list the listings that belong to an investment theme on the selected exchange — for example semiconductors, EV and new-age automotive, railways PSU, defence or rare earths — and rank them by one metric you choose. Membership always comes from one disclosed source per exchange. 3 min read Beginner
- 11 Use the AI & ML screener presets The AI & ML presets are eight ready-made screens built on stored model outputs: 20-session outperformance probability, edge over the base rate, volatility-expansion probability, three-year compounding probability, unusual-activity percentile, the market regime and the quant factor composite. 3 min read Advanced