Bollinger Bands MT4: Configure & Read Volatility
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Quick Overview
Bollinger Bands MT4 wrap a 20-period simple moving average with upper and lower bands set two standard deviations away, expanding and contracting as volatility changes. Inside MetaTrader 4 you can edit just three inputs—Period, Deviation and Shift—to adapt the bands to any forex timeframe without altering the maths.
Because this setup is purely mechanical, explaining it is classified as “factual information” under the FAIS Act and does not constitute advice fsca.co.za.
What You’ll Learn
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Adding Bollinger Bands in MT4 – drag-and-drop from Indicators ▶ Trend, verify default (20, 2) values.
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Tuning Period & Deviation – see how shorter periods tighten, higher deviations widen; common ranges 13-30 periods and 1.5-3 σ.
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“Squeeze” vs Expansion – identify low-volatility squeezes that often precede large moves.
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Multi-Timeframe View – why bands behave differently on M5, H1 and D1; tips to keep presets consistent.
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Saving Indicator Presets – export your custom template for quick reuse (no EA code shared).
Why It Matters
Reading volatility with Bollinger Bands MT4 helps traders judge relative price expansion and align position sizes with FSCA margin-risk guidance—again, without giving trade signals fsca.co.za.
Speaker
Brandon Lurie — professional trader, analyst and current RE 5 candidate who specialises in platform optimisation while staying inside FSCA factual-information rules. bollingerbands.com
Extra Resources
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Investopedia – Bollinger Bands explained (authoritative overview) investopedia.com
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John Bollinger’s official site – original research & FAQs bollingerbands.com
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BabyPips – guide to the “Bollinger Squeeze” concept babypips.com
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FSCA Bulletin PDF – “What constitutes advice vs factual info” fsca.co.za
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Full FSCA-Compliant Webinar Library (internal link)
Disclaimer: This webinar provides general, factual information and does not constitute financial advice as defined in the FAIS Act. Margin trading carries risk. Always consult a licensed FSP before acting on factual data presented.