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Logo "Advanced HTF Trend Buy & Sell Trading System"
Advanced HTF Trend Buy & Sell Trading System
0.0
03/09/2025
100
Desktop

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Description:

Advance HTF Trend Buy & Sell Trading System

What is it and what is it for?
It’s a technical analysis algorithm that automatically identifies support and resistance levels πŸ“ˆ based on historical price ranges, and detects when price breaks these levels to generate trend signals πŸ’‘.


How does the logic work?

1️⃣ Range Calculation
The indicator analyzes a defined historical period (fully configurable) to find:
β€’ The highest price reached in that period πŸ“Š
β€’ The lowest price reached in that period πŸ“‰
β€’ The midpoint between both levels βš–οΈ


2️⃣ Level Establishment
Once the extremes are identified, the indicator:
β€’ Draws a red line at the maximum level (resistance)
β€’ Draws a green line at the minimum level (support)
β€’ Adds a safety buffer to each level to prevent false signals πŸ›‘οΈ


3️⃣ Breakout Detection
The system constantly monitors the price to detect:
β€’ Bullish breakout πŸš€: when the price closes above the resistance level + buffer
β€’ Bearish breakout 🐻: when the price closes below the support level - buffer


4️⃣ Confirmation System
Before generating a final signal βœ…, the indicator:
β€’ Waits for a configurable number of consecutive bars confirming the breakout ⏳
β€’ Only after confirmation does it officially change the trend


5️⃣ Dynamic Updating
Levels are recalculated automatically:
β€’ When a new period starts (daily, weekly, or monthly, depending on your settings) πŸ”„
β€’ Lines extend until new levels are set
β€’ The midpoint line changes color according to the current trend


How to Use the ?

✨ Signals:
β€’ Buy: The πŸš€ symbol appears when a bullish breakout is confirmed
β€’ Sell: The 🐻 symbol appears when a bearish breakout is confirmed

🎨 Candle Coloring:
β€’ Candles are automatically colored according to the current trend:
βœ… Green: Active bullish trend
❌ Red: Active bearish trend


Parameter Settings

πŸ”§ Lookback Period (5–200, default: 11)
What does it control?
The number of historical bars used to calculate highs and lows.

Impact when modified:
β€’ Low values (5–15):

  • More reactive and frequent levels
  • Higher number of signals
  • Best for scalping and short-term trades
  • Ideal for highly volatile markets

β€’ High values (30–50):

  • More stable and lasting levels πŸ›οΈ
  • Fewer but more reliable signals
  • Better for swing trading and medium-term positions
  • Ideal for more stable markets


πŸ“ Breakout Threshold (0.01–5.0%, default: 0.1%)
What does it control?
The extra buffer the price must exceed to confirm a breakout.

Impact when modified:
β€’ Low values (0.05–0.15%):

  • Earlier and more sensitive signals πŸ”
  • Higher risk of false breakouts
  • Ideal for Forex majors with low spreads
  • Best for high liquidity markets

β€’ High values (0.3–1.0%):

  • Later but more reliable signals πŸ›‘οΈ
  • Lower risk of market noise
  • Ideal for cryptocurrencies and volatile assets
  • Best for markets with wider spreads


⏳ Confirmation Bars (1–5, default: 1)
What does it control?
How many consecutive bars must confirm the breakout before generating a signal.

Impact when modified:
β€’ 1 bar:

  • Instant signals ⚑
  • More trading opportunities
  • Higher risk of premature signals
  • Ideal for active traders

β€’ 2–3 bars:

  • Balance between speed and reliability βš–οΈ
  • Significantly reduces false signals
  • Ideal for most strategies

β€’ 4–5 bars:

  • Very conservative signals πŸ•ŠοΈ
  • Maximum reliability
  • May miss early opportunities
  • Ideal for long-term positions


πŸ“Š Optimization by Asset Type

πŸ’± Forex Majors (EUR/USD, GBP/USD, etc.)
β€’ Lookback: 15–25
β€’ Threshold: 0.05–0.15%
β€’ Confirmation: 1–2 bars

πŸ’° Cryptocurrencies
β€’ Lookback: 10–20
β€’ Threshold: 0.2–0.8%
β€’ Confirmation: 2–3 bars

πŸ“ˆ Stock Indices
β€’ Lookback: 20–30
β€’ Threshold: 0.1–0.3%
β€’ Confirmation: 1–2 bars

🌾 Commodities
β€’ Lookback: 25–35
β€’ Threshold: 0.15–0.4%
β€’ Confirmation: 2–3 bars


Considerations
β€’ May generate late signals in very fast-moving markets πŸƒβ€β™‚οΈ
β€’ Less effective in extremely sideways markets
β€’ Requires parameter adjustments depending on asset and timeframe ⏱️

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