Legacy Lancelot indi
- Göstergeler
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Jiri Cetkovsky
I have been trading for over ten years and building tools in MQL5 since 2022.
Most of that decade taught me one thing that has nothing to do with entries:
accounts are not lost on a bad signal, they are lost on unmanaged risk. - Sürüm: 1.0
A modern take on the classic SuperTrend. Instead of a fixed band, it adapts to market volatility and rates every signal by CONVICTION — combining trend strength and volume so you instantly see which moves are worth your attention. All wrapped in a clean on-chart HUD panel.
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✨ KEY FEATURES
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🎯 Adaptive SuperTrend Engine ATR-based trend bands with a Z-Score adaptive multiplier: the band widens when price is statistically extended (volatile) and tightens in calm conditions — fewer whipsaws, cleaner trends.
🔬 Confluence Conviction Score (ADX + Volume) Every state is scored 0–2: +1 when ADX confirms a real trend regime, +1 when volume confirms participation (a volume spike). The trend line thickens and turns solid on high conviction, and thins to a dotted line in choppy / low-conviction conditions — signal quality visible at a glance.
🏷️ Clear BUY / SELL Tags On-chart tags mark each trend flip, with a ★ on confirmed signals.
🖥️ Redesigned HUD Panel A compact panel in the chart corner showing, in real time:
Trend state + how long the trend has lasted (bars)
ADX strength with a live meter
Volume ratio vs its average
Z-Score (how extended price is)
Conviction dots (●●)
Active SuperTrend stop level + distance to it (in points)
Multi-timeframe snapshot as colored squares
📡 Multi-Timeframe Scanner Reads the trend across your chosen timeframes (e.g. M15, M30, H1, H4, D1) and summarizes alignment at a glance.
🎨 Auto Chart Theme (optional) On load, the indicator can apply a clean dark chart theme — and it restores your original chart colors automatically when removed. One switch to enable/disable; all colors configurable.
📱 Multi-Channel Alerts Popup, push-to-mobile, and email alerts on new signals.
⚙️ Fully Configurable ATR period, base multiplier, adaptive on/off, statistical window, volume period & spike threshold, ADX period & strength threshold, panel position, colors, and more.
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📊 HOW IT WORKS
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Builds an ATR SuperTrend whose multiplier adapts to a Z-Score of recent closes (volatility-aware).
Flips the trend when price closes beyond the active band.
Scores conviction from ADX (is it really trending?) and volume (is there genuine participation?).
Styles the trend line + tags by conviction and surfaces every metric in the HUD panel and the multi-timeframe snapshot.
Signals settle on the close of each candle: once a candle has closed, its trend assessment is locked and does not change retroactively.
This is a PATIENT, structure-first tool — it highlights quality trend shifts rather than spamming arrows on every wiggle.
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🎯 WHO IS IT FOR?
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✓ Manual traders who want a clear trend + confluence read
✓ Traders using it as a confirmation filter for their own strategy
✓ Works on Forex, metals, indices and crypto CFDs
✓ Recommended on M15 and higher timeframes
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⚙️ REQUIREMENTS
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MetaTrader 5
Any broker (no restrictions)
Demo or live account
One chart / one indicator instance per symbol
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🎁 FREE DEMO
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A free demo is available and runs UNLIMITED in the MetaTrader 5 Strategy Tester.
How to try it for free:
Click "Free Demo" on this product page
Open MetaTrader 5 Strategy Tester (Ctrl+R)
Select the indicator, choose any symbol / timeframe / period
Run on historical data to evaluate signals, the panel and the multi-timeframe snapshot
Please note: as with all MQL5 Market products, the demo works in the Strategy Tester only — it does not run on live or demo charts.
The full version runs on live + demo + Strategy Tester, activates with one click after purchase, and is tied to your MQL5 account.
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⚠️ DISCLAIMER
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Legacy Lancelot is a signal / analysis tool, not an automated trading system and not financial advice. Trading Forex and CFDs carries substantial risk. Past performance does not indicate future results. Always test on a demo account first and trade responsibly.
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📞 SUPPORT
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For questions, bug reports or feature requests, please use the Comments section of this product page. Response within 24–48 hours.
