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Advanced HTF Trend Buy & Sell Trading System
Logo de "Advanced HTF Trend Buy & Sell Trading System"
03/09/2025
143
Desktop
Since 03/10/2024
Ventes
102
Free installs
14909
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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 📈 based on historical price ranges, and detects when price breaks these levels to generate trend signals 💡.


How does the logic work?

1️⃣ Range Calculation
The indicator analyzes a defined historical period (fully configurable) to find:
• The highest price reached in that period 📊
• The lowest price reached in that period 📉
• The midpoint between both levels ⚖️


2️⃣ Level Establishment
Once the extremes are identified, the indicator:
• Draws a red line at the maximum level (resistance)
• Draws a green line at the minimum level (support)
• Adds a safety buffer to each level to prevent false signals 🛡️


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


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


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


How to Use the ?

Signals:
Buy: The 🚀 symbol appears when a bullish breakout is confirmed
Sell: The 🐻 symbol appears when a bearish breakout is confirmed

🎨 Candle Coloring:
• Candles are automatically colored according to the current trend:
✅ Green: Active bullish trend
❌ Red: Active bearish trend


Parameter Settings

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

Impact when modified:
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

High values (30–50):

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


📏 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:
Low values (0.05–0.15%):

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

High values (0.3–1.0%):

  • Later but more reliable signals 🛡️
  • 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:
1 bar:

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

2–3 bars:

  • Balance between speed and reliability ⚖️
  • Significantly reduces false signals
  • Ideal for most strategies

4–5 bars:

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


📊 Optimization by Asset Type

💱 Forex Majors (EUR/USD, GBP/USD, etc.)
• Lookback: 15–25
• Threshold: 0.05–0.15%
• Confirmation: 1–2 bars

💰 Cryptocurrencies
• Lookback: 10–20
• Threshold: 0.2–0.8%
• Confirmation: 2–3 bars

📈 Stock Indices
• Lookback: 20–30
• Threshold: 0.1–0.3%
• Confirmation: 1–2 bars

🌾 Commodities
• Lookback: 25–35
• Threshold: 0.15–0.4%
• Confirmation: 2–3 bars


Considerations
• May generate late signals in very fast-moving markets 🏃‍♂️
• Less effective in extremely sideways markets
• Requires parameter adjustments depending on asset and timeframe ⏱️

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