Niftycycles Gann Weekly Ranges

## 🎯 What This Indicator Shows You
### 1. **Weekly Price Framework**
- **Key Weekly Levels**: Automatically identifies critical support and resistance for the upcoming trading week
- **Color-Coded Zones**: Distinct visual separation between bullish, bearish, and neutral price territories
- **Range Boundaries**: Clear weekly high and low expectations based on cyclical analysis
- **Momentum Context**: Shows whether price is operating within normal weekly ranges or extending beyond them
### 2. **Weekly Range Components**
- **Primary Support/Resistance**: Main levels where price action is expected to react
- **Range Extensions**: Projections for breakout scenarios and exceptional weekly moves
- **Weekly Pivot Zone**: Central area indicating balanced price action for the week
- **Cycle-Based Boundaries**: Levels derived from Nifty's inherent cyclical patterns
### 3. **Weekly Planning Dashboard**
- **Week Identification**: Current trading week reference
- **Range Summary**: Complete weekly range at a glance
- **Status Indicators**: Visual cues for range breakouts and confirmations
- **Clean Weekly Overlay**: Non-intrusive display that respects chart analysis space
## 🎮 How to Use This Indicator
### Step 1: Apply to Your Chart
1. Best used on daily and intra week timeframes for context
2. Levels automatically generate for each new trading week
### Step 2: Understand Weekly Setup
1. **Automatic Weekly Detection**: Indicator identifies week start/end automatically
2. **Range Calculation**: Weekly levels calculated based on cyclical patterns
3. **Visual Setup**: All weekly levels appear each Monday (or chart restart)
### Step 3: Configure Display Options
1. **Range Detail Control**: Choose which levels to display (primary, extensions, pivots)
2. **Alert Settings**: Set alerts for key level breaches
3. **Visual Preferences**: Adjust colors and line styles for different range components
### Step 4: Weekly Monitoring
1. **Opening Gaps**: Note where weekly open occurs relative to calculated ranges
2. **Level Interactions**: Monitor price behavior at each weekly level
3. **Range Adjustments**: Watch for early-week range expansions or contractions
## 📊 What You'll See on Your Chart
### Visual Elements:
1. **Weekly Container**: Visual band showing the primary expected weekly range
2. **Key Level Lines**: Horizontal lines at critical support/resistance points
3. **Extension Zones**: Areas beyond normal weekly expectations
4. **Information Panel**: Compact display showing range statistics and status
### How to Interpret:
**At Week Start:**
- Primary range gives expected high-low boundaries for the week
- Pivot zone indicates balanced price action area
- Extension levels show potential breakout targets if momentum develops
**During the Week:**
- Price holding within primary range suggests normal weekly behavior
- Repeated tests of range boundaries indicate potential breakouts
- Closing beyond extension levels signals exceptionally strong weekly momentum
**Range Applications:**
- **Primary Range**: Normal weekly trading zone, ideal for range strategies
- **Pivot Zone**: Decision area for weekly bias formation
- **Extensions**: Profit targets for breakout trades, stop-loss placement zones
## ⚠️ Critical Understanding
### What This Indicator Provides:
- ✅ **Weekly Roadmap**: Expected price boundaries for the coming week
- ✅ **Level Precision**: Specific price levels for planning entries and exits
- ✅ **Cyclical Context**: Range expectations based on Nifty's historical patterns
- ✅ **Visual Framework**: Clean overlay for weekly trade planning
### What This Indicator Does NOT Do:
- ❌ **Doesn't guarantee price will respect the calculated ranges**
- ❌ **Not a replacement for entry timing or trade management**
## 🔍 Professional Usage Tips
### Best Practices:
1. **Weekly Review**: Analyze ranges each Sunday/Monday before market open
2. **Multi-Timeframe Confirmation**: Check ranges against daily and monthly levels
3. **Market Context**: Consider economic events and news flow for the week
4. **Flexibility**: Be prepared to adjust if early-week price action invalidates ranges
### Practical Applications:
**For Position Traders:**
- **Weekly Entry Planning**: Identify optimal zones to initiate weekly positions
- **Profit Targets**: Set weekly objectives based on range boundaries
- **Risk Management**: Place stops beyond extension levels for protection
**For Swing Traders:**
- **Level Awareness**: Know weekly boundaries for swing trade planning
- **Breakout Confirmation**: Use extension breaks as momentum confirmation
- **Range Fading**: Trade reversals at weekly extremes with tight risk
**For Institutional Context:**
- **Weekly Allocation**: Plan weekly position sizing around range expectations
- **Hedging Levels**: Identify key levels for option hedging strategies
- **Portfolio Rebalancing**: Time adjustments around weekly pivotal zones
## 🎨 Customization Options
- **Range Visibility**: Toggle between different range components
- **Alert Configuration**: Set price alerts for key weekly levels
- **Color Schemes**: Customize for different market conditions or personal preference
- **Information Display**: Control how much data appears on chart
- **Historical Comparison**: Option to show previous week's ranges for context
## 📈 Real-World Strategy Integration
### Combine With Weekly Analysis:
- **Market Structure**: Confluence with monthly support/resistance
- **Option Chain Data**: Match ranges with high Open Interest levels
- **Sector Rotation**: Consider sector performance within weekly context
- **Global Correlations**: Account for international market influences
### Trading Approaches:
**Conservative Weekly Approach:**
1. Wait for price to establish within primary range
2. Trade bounces from range boundaries toward pivot zone
3. Take profits at opposite boundary or pivot
4. Use extensions for stop placement
**Momentum Weekly Approach:**
1. Wait for confirmed break of primary range
2. Enter in direction of break with extension as target
3. Trail stops using the breached range boundary
4. Consider partial profits at each extension level
**Expiry Week Strategy:**
1. Note weekly ranges in context of monthly expiry
2. Watch for range compression as expiry approaches
3. Be aware of pinning effects at range boundaries
4. Adjust expectations for increased volatility
## ⚙️ Key Features
- **Cycle-Based Accuracy**: Ranges derived from proven cyclical patterns
- **Clean Integration**: Works alongside other indicators without clutter
- **Forward-Looking**: Provides framework for entire week ahead
## 📝 Important Notes
- **Weekly Nature**: Designed for weekly planning, not intraday signals
- **Market Phases**: Effectiveness varies in trending vs. ranging markets
- **External Factors**: Major news/events can override cyclical patterns
- **Confirmation Required**: Always verify with price action at levels
- **Historical Reference**: Past performance of ranges provides context, not guarantees
---
**Final Advice:** This is your **weekly trading roadmap**. Use it each week to establish WHERE price is likely to find significance, then employ your preferred timing methods to determine WHEN to execute. The most successful weekly traders use these ranges to set their weekly bias, plan their trade locations, and manage risk around clear boundaries.
Invite-only script
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact NiftyCycles directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
Author's instructions
Disclaimer
Invite-only script
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact NiftyCycles directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.