Universe_Super MA [MTF & Multi-Type]**Overview**
"Universe_Super MA" is a comprehensive trend analysis tool designed to overcome indicator limits. Instead of adding 4 separate moving averages, this script allows you to monitor 4 distinct Moving Averages within a single indicator slot.
It features full **Multi-Timeframe (MTF)** capabilities, meaning you can view higher timeframe trends (e.g., Daily 200 SMA) while trading on lower timeframes (e.g., 15-minute chart).
**Default Configuration (Institutional Setup)**
The indicator comes pre-loaded with a powerful institutional trend setup:
1. **50 Period (Green):** Short-term trend and dynamic support.
2. **99 Period (Orange):** Medium-term trend filter.
3. **200 Period (Red):** The classic institutional dividing line between Bull and Bear markets.
4. **389 Period (Blue):** A long-term "Deep Trend" baseline used to identify major market cycles and heavy support/resistance levels.
**Key Features**
* **fully Customizable:** You can change the Length, Color, and Width of each line.
* **Multi-Timeframe (MTF):** Select any timeframe for any MA. (e.g., Keep MA1 on the "Chart" timeframe, but lock MA4 to the "Daily" timeframe).
* **6 MA Types:** Choose between SMA, EMA, WMA, HMA (Hull), RMA, and VWMA for each line independently.
* **Clean Interface:** Toggle any line On/Off via settings without removing the indicator.
**Usage & Interpretation**
* **Trend Identification:** The 200 (Red) and 389 (Blue) lines are designed to visualize the long-term market bias. In technical analysis, price action sustaining above these levels is generally considered a bullish context, while price below suggests a bearish context.
* **Crossover Monitoring:** The script facilitates the observation of interactions between short-term and long-term averages (e.g., the 50 crossing the 200), allowing users to easily spot common technical patterns like the "Golden Cross".
* **Dynamic Levels:** The 99 and 200-period lines act as dynamic levels that may align with technical support or resistance zones during market retracements.
**Settings**
* **Timeframe:** Leave empty to use the current chart's timeframe, or select a specific one (e.g., "1D" or "4H").
* **Type:** Select your preferred calculation method (SMA is default).
**Disclaimer**
This tool is for educational purposes and trend visualization only. Always manage your risk.
Analyse de la tendance
Risk & Order Size Calculatorhello,
this will calculate the risk and you may change the script as per your risk appetite, my advise do not risk more than 2% of your capital.
Thank you
SMAHiLO- 2 EMA/SMA can be used for trend following default value is 50 and 200
- green box and red box incorporated to chart for visual representation for Week ,Daily, H4, H2,H1
- blue line representation for opening candle, previous low and previous high and by clicking prev. close open alert at setting it will alert if prev. low or high are reach and current opening candle is breakdown or breakout
settings:
- engulfing alert it will alert bullish engulfing entry if 50 is above 200 vise versa
- harami alert it will alert bullish harami if 50 is above 200 vise versa
- pullback alert it will alert bullish pullback if 50 is above 200 or bearish pullback if 50 below 200
- mcd ob/os alert it will display green circle above candle if macd getting weaker from bearish to bullish vise versa
- spot play alert most of the time buy alert only no sell alert.
- engul/harami alert it will alert if harami or engulfing is met unlike on engulfing alert and harami alert it will follow the trend if 50 above 200 vise versa.
Liquidity Levels Pro Tool - thewallranka
Liquidity Levels Pro Tool is a market-structure and liquidity-mapping indicator designed to help discretionary futures and index traders identify statistically relevant price levels where reactions, continuations, or liquidity sweeps are more likely to occur.
This script is a decision-support tool, not a signal generator. It does not issue buy/sell alerts or predict future price movement. Instead, it organizes and scores liquidity information so traders can make their own contextual decisions.
What this indicator does
The script continuously detects and maintains liquidity zones derived from price pivots, then evaluates those zones using multiple structural and contextual factors:
Repeated price interaction (touches)
Freshness (time since last interaction)
Confluence with key reference levels
Reaction behavior after contact
Session relevance (RTH vs overnight)
Market regime (trend vs mean reversion)
Time-of-day effects (open, midday, power hour)
Only the most relevant zones—based on a dynamic scoring system—are displayed to reduce chart clutter and focus attention on levels that have historically mattered.
Core components
1. Liquidity Zones
Zones are built from pivot highs and lows and expanded into areas using a configurable tick-based padding. Nearby zones are merged to avoid redundancy.
Each zone is continuously evaluated and assigned a score (0–100) reflecting its relative importance.
2. Zone Scoring (No Lookahead)
Zone scores are based on:
Number of confirmed interactions
Recency of the last touch
Confluence with prior day/week levels, VWAP, and Opening Range
Reaction quality after touches (speed and follow-through)
Session alignment (zones that “work” in the current session are favored)
Penalties after liquidity sweeps
Zones are not forward-looking and do not rely on future data.
3. Context Engine
The script classifies the current environment using VWAP slope and distance:
Trend (up or down)
Mean reversion
Mixed/transition
Time-of-day context (Open, Midday, Power Hour) is also tracked internally and influences zone scoring.
This context is displayed in the HUD to support situational awareness, not automated decisions.
4. Liquidity Sweeps
Optional sweep detection highlights situations where price trades beyond a zone and closes back inside, indicating potential stop runs or failed breakouts.
Sweeps are rate-limited and applied conservatively to avoid visual noise.
5. Trade Planning Levels (Optional)
When enabled, the script highlights the nearest high-quality liquidity level above and below price based on score thresholds.
These are intended as reference targets, not trade entries or exits.
HUD (Heads-Up Display)
The on-chart HUD summarizes:
Key reference levels (prior day/week, Opening Range)
Nearest strong liquidity above/below price
Market regime and time-of-day context
Distance to levels (ticks or points)
The HUD is fully optional, positionable, and includes resizable modes (Small / Medium / Large) to fit different chart layouts.
How to use this tool
This indicator is best used as part of a discretionary trading process, for example:
Identifying areas where price is more likely to react or pause
Framing trades around higher-quality structure instead of arbitrary levels
Filtering setups based on session and regime context
Managing expectations near known liquidity rather than chasing price
It is intentionally designed not to provide trade signals.
Limitations and important notes
This script does not predict outcomes or guarantee reactions
High-scoring zones can still fail
Liquidity behavior is context-dependent and probabilistic
No performance claims or backtested results are provided
The indicator should not be used in isolation
Past behavior does not imply future results.
Chart and usage notes
The script is intended for standard time-based charts
Recommended for liquid futures and index products
Use a clean chart for clarity when publishing or sharing
No external indicators are required
Final note
Liquidity Levels Pro (Tool) — v6 is designed to organize complex market structure into a clear, readable framework, allowing traders to focus on execution and risk management rather than raw level detection.
This script reflects an analytical approach to intraday liquidity and structure, not an automated trading system.
MACD Signals - TradeMaster (Trend & Momentum Filter) 中文簡介
設計理念： 此指標是為了將經典的 MACD 策略「可視化」並「優化」而設計。傳統 MACD 在盤整震盪期容易出現頻繁的黃金交叉（假訊號），導致虧損。本腳本透過整合 OBV (能量潮) 與 TTM Squeeze (擠壓動能) 作為趨勢濾網，只有在動能與量能皆配合的情況下，才會標示為「✅ 有效金叉」。
核心功能與邏輯：
主圖純淨模式 (Clean Overlay)：不顯示雜亂的 MACD 線圖，直接在 K 棒上下方標示買賣訊號，保持圖表乾淨。
MAM 濾網機制 (Smart Filtering)：
OBV 趨勢：確認資金流向是否支持價格上漲。
動能擠壓 (Squeeze)：結合 Bollinger Bands 與 Keltner Channels，避開無方向的盤整區間。
訊號分類：
✅ 有效金叉 (Valid Buy)：MACD 金叉 + 通過 MAM 濾網偵測（高勝率 setup）。
❌ 無效金叉 (Fake Buy)：MACD 金叉，但動能不足或處於盤整（建議觀望）。
🔻 死叉出場 (Sell)：MACD 死叉，提示波段獲利了結或停損。
如何使用：
當出現 綠色標籤 (✅有效) 時，代表趨勢與動能共振，為潛在進場點。
當出現 灰色標籤 (❌無效) 時，代表僅是指標交叉但缺乏動能，建議忽略或謹慎操作。
當出現 紅色標籤 (🔻出場) 時，代表動能轉弱，建議離場。
English Description
Concept: This script is designed to visualize and optimize the classic MACD strategy directly on your main chart. Traditional MACD often generates false signals during consolidation periods. This indicator integrates OBV (On-Balance Volume) and Squeeze Momentum as a trend filter. It only marks a signal as a "✅ Valid Buy" when both momentum and volume confirm the trend.
Key Features & Logic:
Clean Main Chart Overlay: Instead of occupying a bottom pane with lines, this script plots actionable signals directly on the candlesticks, keeping your workspace clean.
MAM Filter Mechanism:
OBV Trend: Confirms if volume flow supports the price action.
Momentum Squeeze: Combines Bollinger Bands and Keltner Channels to filter out choppy, sideways markets.
Signal Classification:
✅ Valid Buy: MACD Golden Cross + Confirmed by MAM Filter (High probability setup).
❌ Fake Buy: MACD Golden Cross without momentum confirmation (Weak signal, usually ignored).
🔻 Sell Signal: MACD Death Cross, suggesting an exit.
How to Use:
Green Label (✅ Valid): Trend and momentum are in resonance. Potential entry.
Gray Label (❌ Fake): Crossover occurred but failed the filter test. Caution advised.
Red Label (🔻 Exit): Momentum is weakening. Suggested exit point.
免責聲明 (Disclaimer)
免責聲明
本腳本僅供教育與技術分析研究使用，不構成任何形式的金融投資建議。
過去的績效不代表未來的表現。
所有的交易訊號僅供參考，使用者應結合自身的風險管理策略（如停損設置）。
作者不對使用此腳本造成的任何盈虧負責。
Disclaimer
This script is for educational and technical analysis purposes only and does not constitute financial advice.
Past performance is not indicative of future results.
All signals are for reference only. Users should always apply their own risk management strategies (e.g., Stop Loss).
The author is not responsible for any trading losses incurred from using this script.
Smart Money Swing Strategy [All-in-One]# Pro Swing Trader 📈
A comprehensive swing trading indicator for TradingView that combines multiple confluence factors to identify high-probability trade setups with built-in risk management.
## 🎯 Overview
This indicator is designed for swing traders who want to catch momentum pullbacks with precision entries. It filters trades using multiple timeframe analysis, RSI zones, volume confirmation, and EMA trends to deliver only the highest-confidence setups.
### Key Features
✅ **Multi-Timeframe Confluence** - Confirms trades with higher timeframe analysis (Daily, 4H, etc.)
✅ **Smart Entry Signals** - Detects pullback-to-EMA reclaim patterns
✅ **Automatic Risk Management** - Calculates stops, targets, and R-multiples
✅ **Dynamic Stop Loss** - ATR trailing stop + break-even automation
✅ **Real-Time HUD Dashboard** - Live confluence scoring and trade metrics
✅ **Comprehensive Alerts** - Entry, TP1, TP2, and stop-loss notifications
✅ **Visual Trade Levels** - Clear on-chart stop-loss and take-profit lines
---
## 📊 How It Works
### Signal Logic
The indicator identifies two types of signals:
**Base Signals** (Small triangles):
- Price pulls back between Fast EMA and Slow EMA
- RSI is in the swing zone (40-60 by default)
- Price reclaims the Fast EMA with momentum
- Optional: Volume spike confirmation
**High-Confidence Signals** (Large triangles):
- All base signal criteria met
- Higher timeframe confirms the trend direction
- HTF RSI and slope alignment
- These are your primary trade signals
### Entry Conditions
#### Long Entry (🟢 HC L)
1. Fast EMA > Slow EMA (uptrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses above and closes above Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price above EMA50, RSI > 50, positive slope
6. Optional: Volume > 1.5x 20-bar average
#### Short Entry (🔻 HC S)
1. Fast EMA < Slow EMA (downtrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses below and closes below Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price below EMA50, RSI < 50, negative slope
6. Optional: Volume > 1.5x 20-bar average
---
## 🎛️ Settings & Parameters
### Trend Parameters
- **Fast EMA**: Default 20 - Quick trend detection
- **Slow EMA**: Default 50 - Major trend filter
- **Swing Lookback**: Default 10 - Bars to find swing high/low for stops
### RSI Settings
- **RSI Length**: Default 14
- **RSI Min**: Default 40 - Lower bound of swing zone
- **RSI Max**: Default 60 - Upper bound of swing zone
### Risk Management
- **Final TP Risk-Reward (R)**: Default 2.0 - Main profit target multiplier
- **TP1 R Multiple**: Default 1.0 - Partial profit target
- **Use Break-even Stop**: Move stop to entry after 1R profit
- **ATR Trailing Stop**: Dynamic stop based on ATR(14) x 2.0
### Filters
- **Require Volume Spike**: Optional volume confirmation filter
- **Use Higher TF Confirmation**: Enable multi-timeframe analysis
- **Higher TF**: Default "D" (Daily) - Can use 240 (4H), W (Weekly), etc.
---
## 📈 Dashboard (HUD)
The top-center dashboard shows real-time confluence status:
| Column | Meaning |
|--------|---------|
| **Trend** | Current trend direction (UP/DOWN/Flat) |
| **HTF** | Higher timeframe alignment (Bull/Bear/Flat) |
| **RSI Zone** | Is RSI in swing zone? (YES/NO) |
| **Volume** | Volume spike detected? (YES/NO) |
| **Signal** | Active signal type (HC LONG/HC SHORT/None) |
| **R Risk** | Current profit in R-multiples |
| **Stop** | Current stop-loss level |
| **TP1** | Partial take-profit status |
| **TP2** | Final take-profit status |
| **Conf %** | Overall confluence score (0-100%) |
### Confidence Score Breakdown
- **20%** - Trend present (up or down)
- **30%** - HTF confirmation aligned (or 15% if HTF off)
- **20%** - RSI in swing zone
- **10%** - Volume spike
- **20%** - High-confidence signal triggered
**Scoring**:
- 🟢 70%+ = High probability setup
- 🟡 40-69% = Moderate setup
- 🔴 <40% = Low probability
---
## 🔔 Alert Setup
The indicator includes 8 alert conditions:
### Entry Alerts
- **HC LONG ENTRY** - High-confidence long signal triggered
- **HC SHORT ENTRY** - High-confidence short signal triggered
### Profit Target Alerts
- **LONG TP1 Reached** - Hit partial profit (1R by default)
- **LONG Final TP Reached** - Hit final target (2R by default)
- **SHORT TP1 Reached** - Hit partial profit
- **SHORT Final TP Reached** - Hit final target
### Stop Loss Alerts
- **LONG Stop/BE/Trail Level Hit** - Long position stopped out
- **SHORT Stop/BE/Trail Level Hit** - Short position stopped out
### How to Set Up Alerts
1. Click "Add Alert" on TradingView
2. Choose this indicator from the dropdown
3. Select desired alert condition
4. Set alert to trigger "Once Per Bar Close"
5. Customize notification method (popup/email/webhook)
---
## 📋 Trading Workflow
### 1. Wait for High-Confidence Signal
Look for the large **HC L** or **HC S** triangle on chart close.
### 2. Verify Confluence
Check the HUD dashboard:
- Confidence score should be 70%+
- HTF status should show alignment
- RSI Zone should be "YES"
### 3. Entry
Enter the trade at market or on next candle open.
### 4. Set Stop Loss
Use the **initial stop** shown in the HUD (red line on chart):
- **Longs**: Below the swing low (10-bar lookback)
- **Shorts**: Above the swing high (10-bar lookback)
### 5. Set Take Profits
- **TP1**: 1R (50% position close) - Yellow line
- **TP2**: 2R (remaining 50% close) - Green line
### 6. Manage the Trade
- Monitor the **R Risk** column to track profit
- Stop moves to break-even automatically after 1R (if enabled)
- ATR trailing stop engages dynamically (red line adjusts)
- Exit if price hits dynamic stop level
---
## 🎨 Visual Guide
### On-Chart Elements
**Triangles**:
- Small lime/red triangles = Base signals (lower confidence)
- Large lime/red triangles = High-confidence signals (trade these!)
**Lines**:
- 🟢 Green line = Fast EMA (20)
- 🟠 Orange line = Slow EMA (50)
- 🔴 Red line = Dynamic stop-loss level
- 🟡 Yellow line = TP1 level
- 🟢 Green line = TP2 (final target)
**HUD Colors**:
- 🟢 Green = Bullish/Active/Good
- 🔴 Red = Bearish/Inactive/Warning
- 🟡 Yellow = Neutral/Caution
- 🔵 Blue = Informational
- ⚫ Gray = Disabled/Off
---
## 💡 Strategy Tips
### Best Practices
1. **Only trade High-Confidence signals** - Ignore base signals unless very experienced
2. **Respect the HTF** - Don't fight the higher timeframe trend
3. **Use proper position sizing** - Risk 1-2% of account per trade
4. **Partial profits work** - Take 50% off at TP1, let rest run to TP2
5. **Let winners run** - Trailing stop helps capture extended moves
6. **Be patient** - Quality over quantity; wait for 70%+ confluence
### Optimal Timeframes
- **Primary Chart**: 1H, 4H, Daily (swing trading)
- **HTF Setting**: One level higher than your chart
- If trading 1H → Set HTF to 4H or D
- If trading 4H → Set HTF to D or W
- If trading Daily → Set HTF to W
### Market Conditions
**Best Performance**:
- Trending markets with healthy pullbacks
- Clear support/resistance zones
- Moderate volatility
**Avoid Trading**:
- Extremely choppy/sideways markets
- Major news events (unless experienced)
- Low confidence scores (<40%)
---
## ⚙️ Advanced Customization
### Aggressive Setup (More Signals)
```
Fast EMA: 12
Slow EMA: 26
RSI Min: 35
RSI Max: 65
Use HTF Confirmation: OFF
Require Volume Spike: OFF
```
### Conservative Setup (Fewer, Higher Quality)
```
Fast EMA: 20
Slow EMA: 50
RSI Min: 45
RSI Max: 55
Use HTF Confirmation: ON
Require Volume Spike: ON
Final TP R: 3.0
```
### Scalping Adaptation (Not Recommended)
```
Fast EMA: 9
Slow EMA: 21
Swing Lookback: 5
TP1 R: 0.5
Final TP R: 1.0
```
---
## ⚠️ Risk Disclaimer
**IMPORTANT**: This indicator is for educational and informational purposes only.
- Past performance does not guarantee future results
- No indicator is 100% accurate
- Always use proper risk management
- Never risk more than you can afford to lose
- Consider using a demo account first
- Seek professional financial advice if needed
Trading involves substantial risk of loss and is not suitable for all investors.
---
## 🔧 Troubleshooting
### "No signals appearing"
- Check if HTF confirmation is enabled but market isn't aligned
- Verify RSI zone isn't too restrictive
- Ensure volume spike isn't filtering out all setups
- Try adjusting EMA lengths for your asset
### "Too many false signals"
- Enable HTF confirmation
- Tighten RSI zone (e.g., 45-55)
- Enable volume spike requirement
- Only trade 70%+ confidence setups
### "Stops too tight/wide"
- Adjust Swing Lookback length
- Modify ATR multiplier for trailing stop
- Consider the asset's volatility
### "Alerts not working"
- Ensure alert is set to "Once Per Bar Close"
- Check indicator is added to the chart
- Verify TradingView notification settings
---
## 📚 Version History
**v1.0 (Current)**
- Initial release
- Multi-timeframe confluence system
- Dynamic risk management
- Real-time HUD dashboard
- Comprehensive alert system
- ATR trailing stops
- Break-even automation
---
## 🤝 Support & Feedback
If you find this indicator helpful:
- ⭐ Star the script on TradingView
- 💬 Share your results and feedback
- 🐛 Report bugs or suggest improvements
- 📖 Share with other traders
---
## 📖 Additional Resources
### Recommended Reading
- "The New Trading for a Living" by Dr. Alexander Elder
- "Swing Trading Using Multiple Timeframes" - Educational articles
- Risk management and position sizing guides
### Learn More About
- Multiple timeframe analysis
- EMA crossover strategies
- RSI divergence and zones
- ATR-based stops
- R-multiple profit management
---
## 📝 License
This indicator is provided as-is for personal trading use.
**Usage Rights**:
- ✅ Use for personal trading
- ✅ Modify for personal use
- ❌ Resell or redistribute
- ❌ Claim as original work
---
## 🎓 Quick Start Checklist
- Add indicator to TradingView chart
- Set your preferred timeframe (1H/4H/Daily)
- Configure HTF setting (one level higher)
- Review default parameters
- Set up entry alerts (HC LONG/SHORT)
- Set up TP and SL alerts
- Test on historical data
- Paper trade first
- Start with small position sizes
- Track your results
---
**Happy Trading! 📊💰**
*Remember: Discipline, patience, and risk management are the keys to long-term success.*
Wisenode QuantThis indicator uses a combination of DMI, ADX and ATR% to give quick easy visual representation of trend strength, trend direction and price action volatility.
This helps to quickly visually identify market environment for trade execution using quantifiable data.
Direction
Red LED = Bearish Market conditions
Green LED = Bullish Market conditions
Trend (Strength)
Red = 0-20 on the ADX (Ranging)
Green = 20-30 on the ADX (Emerging)
Green = 30-50 on the ADX (Momentum)
Volatility
Uses ATR% on a dynamic scale from top to bottom is low to high intensity. Colour will transition from green to red as the bar moves higher.
Trade Execution
Integration of a custom Murray math values to build entry, stop loss protection and take profit zones.
This is still a working progress to fine tune default settings but can be used for market environment identification for any sort of discretionary trading
Hitjo Swing IndicatorTL;DR – READ THIS FIRST
This is a TWO-INDICATOR SYSTEM. Both indicators must be used together.
Hitjo Zones TF = WHERE you are allowed to trade
Hitjo Swing Trend = WHEN you are allowed to trade
Rules:
Only take BUY signals from Hitjo Swing Trend inside DEMAND zones from Hitjo Zones TF
Only take SELL signals from Hitjo Swing Trend inside SUPPLY zones from Hitjo Zones TF
Ignore signals when structure and timing do not align
Recommended setup: 1H chart with 4H or Daily zones.
Hitjo Swing Trading System
(Hitjo Zones TF + Hitjo Swing Trend)
This TradingView system combines higher-timeframe Supply & Demand zones with momentum-based swing entries to create a clean, rule-based swing trading framework.
It is designed for traders who want fewer but higher-quality trades, clear market structure, objective entry timing, and reduced overtrading.
Required Indicators
Hitjo Zones TF (Structure)
Automatically draws Supply & Demand zones using a selectable higher timeframe.
Displays SUPPLY and DEMAND labels when price enters key zones.
Defines where trades are allowed.
Do not trade based on zones alone.
Hitjo Swing Trend (Timing)
Displays BUY and SELL labels using EMA structure, momentum, and higher-timeframe trend.
Plots ATR-based stop loss and target levels.
Defines when to enter trades.
Do not take BUY or SELL signals outside zones.
Core Concept
Hitjo Zones TF tells you WHERE to trade.
Hitjo Swing Trend tells you WHEN to trade.
If both are not aligned, there is no trade.
Trading Rules
Long Trades
Take a BUY only when all conditions are true:
Price is inside or just above a DEMAND zone from Hitjo Zones TF
Higher-timeframe trend is bullish
A BUY label appears from Hitjo Swing Trend
There is room to target without immediately hitting resistance
Short Trades
Take a SELL only when all conditions are true:
Price is inside or just below a SUPPLY zone from Hitjo Zones TF
Higher-timeframe trend is bearish
A SELL label appears from Hitjo Swing Trend
There is room to target without immediately hitting support
Common Mistakes to Avoid
Buying just because DEMAND appears
Selling just because SUPPLY appears
Taking BUY or SELL signals in the middle of the chart
Counter-trend trading
Forcing trades on every signal
Stops and Targets
Hitjo Swing Trend plots:
Stop Loss using ATR (red)
Target using ATR (green)
These are visual guides only, not broker orders.
Recommended Setup
Chart timeframe: 1H
Zone timeframe (Hitjo Zones TF): 4H or Daily
Fast / Slow EMA: 8 / 21
ATR Stop / Target: 1.5 / 3.0
Remember This
DEMAND does not mean BUY
SUPPLY does not mean SELL
DEMAND + BUY = Long
SUPPLY + SELL = Short
Disclaimer
This system does not predict tops or bottoms and does not guarantee profits.
It is designed to help traders wait for alignment, reduce low-quality trades, and trade with structure.
Always manage risk appropriately.
TradingView Search Keywords
Supply Demand
Swing Trading
EMA Strategy
Multi Timeframe
Trend Following
Support Resistance
Momentum Trading
ATR Stop Loss
Crypto Trading
Stock Trading
Hitjo Zones TFTL;DR – READ THIS FIRST
This is a TWO-INDICATOR SYSTEM. Both indicators must be used together.
Hitjo Zones TF = WHERE you are allowed to trade
Hitjo Swing Trend = WHEN you are allowed to trade
Rules:
Only take BUY signals from Hitjo Swing Trend inside DEMAND zones from Hitjo Zones TF
Only take SELL signals from Hitjo Swing Trend inside SUPPLY zones from Hitjo Zones TF
Ignore signals when structure and timing do not align
Recommended setup: 1H chart with 4H or Daily zones.
Hitjo Swing Trading System
(Hitjo Zones TF + Hitjo Swing Trend)
This TradingView system combines higher-timeframe Supply & Demand zones with momentum-based swing entries to create a clean, rule-based swing trading framework.
It is designed for traders who want fewer but higher-quality trades, clear market structure, objective entry timing, and reduced overtrading.
Required Indicators
Hitjo Zones TF (Structure)
Automatically draws Supply & Demand zones using a selectable higher timeframe.
Displays SUPPLY and DEMAND labels when price enters key zones.
Defines where trades are allowed.
Do not trade based on zones alone.
Hitjo Swing Trend (Timing)
Displays BUY and SELL labels using EMA structure, momentum, and higher-timeframe trend.
Plots ATR-based stop loss and target levels.
Defines when to enter trades.
Do not take BUY or SELL signals outside zones.
Core Concept
Hitjo Zones TF tells you WHERE to trade.
Hitjo Swing Trend tells you WHEN to trade.
If both are not aligned, there is no trade.
Trading Rules
Long Trades
Take a BUY only when all conditions are true:
Price is inside or just above a DEMAND zone from Hitjo Zones TF
Higher-timeframe trend is bullish
A BUY label appears from Hitjo Swing Trend
There is room to target without immediately hitting resistance
Short Trades
Take a SELL only when all conditions are true:
Price is inside or just below a SUPPLY zone from Hitjo Zones TF
Higher-timeframe trend is bearish
A SELL label appears from Hitjo Swing Trend
There is room to target without immediately hitting support
Common Mistakes to Avoid
Buying just because DEMAND appears
Selling just because SUPPLY appears
Taking BUY or SELL signals in the middle of the chart
Counter-trend trading
Forcing trades on every signal
Stops and Targets
Hitjo Swing Trend plots:
Stop Loss using ATR (red)
Target using ATR (green)
These are visual guides only, not broker orders.
Recommended Setup
Chart timeframe: 1H
Zone timeframe (Hitjo Zones TF): 4H or Daily
Fast / Slow EMA: 8 / 21
ATR Stop / Target: 1.5 / 3.0
Remember This
DEMAND does not mean BUY
SUPPLY does not mean SELL
DEMAND + BUY = Long
SUPPLY + SELL = Short
Disclaimer
This system does not predict tops or bottoms and does not guarantee profits.
It is designed to help traders wait for alignment, reduce low-quality trades, and trade with structure.
Always manage risk appropriately.
TradingView Search Keywords
Supply Demand
Swing Trading
EMA Strategy
Multi Timeframe
Trend Following
Support Resistance
Momentum Trading
ATR Stop Loss
Crypto Trading
Stock Trading
Trend FilterTrend Filter
Summary
Trend Filter is a multi-factor trend-confidence indicator that produces a simple, actionable output: Direction (Up / Down / Ranging) and a normalized Confidence %. It is intended as a decision-support overlay to help traders quickly identify whether a market is trending or rangebound, and how strong that directional bias is.
What it shows
A single line in the on-chart table: Direction (Up / Down / Ranging).
A Confidence % (0–100) that combines multiple normalized market signals into a single score.
Optional notification row when a manually-selected reference timeframe does not match the chart timeframe.
Alert conditions when direction changes to Up, Down, or Ranging.
How the indicator works (concise, non-proprietary explanation)
Trend Filter computes a weighted confidence score from several complementary components, each normalized to a 0–100 scale and combined into a single confidence value. The components and their roles are:
EMA structure & spread (trend breadth)
-Uses three EMAs (fast / mid / slow) computed at lengths that scale with the selected/reference timeframe. The EMA spread (fast vs slow) quantifies directional separation.
HH/HL structure and streaks (price structure)
-Counts higher highs/higher lows (and the reverse) across a scaled lookback to measure whether price structure is predominantly bullish, bearish or mixed.
EMA slope (momentum of trend)
-A robust slope approximation (smoothed) measures whether the short EMA is rising/falling relative to its own smoothed history.
ADX / DMI (trend strength)
-Uses a standard ADX-style component to capture directional persistence and dampen the confidence score when the ADX is weak.
ATR (volatility context)
-ATR expressed as a percentage of price helps detect abnormal volatility regimes which affect the validity of trend signals.
Volume context
-Simple volume vs a short SMA gives a participation signal that increases confidence when moves occur with higher volume.
Each component is capped to avoid outsized influence. Components are scaled by a set of weights (configurable in code) and then combined. The final confidence is lightly smoothed before being used to determine direction and to feed alert conditions.
Important implementation & safety design choices (why it’s not a simple mashup)
Adaptive timeframe scaling: EMA lengths and lookbacks are proportionally scaled based on the chosen reference timeframe (Auto or manual). This preserves relative indicator behavior across 1-minute → Daily timeframes without manual retuning of each parameter.
HH/HL structure plus streaks: Instead of relying solely on moving averages or ADX, the script explicitly measures price structure (HH/HL counts and streaks) and blends that with slope/ADX. This reduces false trending signals on noisy price action.
Normalized, weighted combination with caps: Each component is normalized (0–100) and combined by predefined weights; cap thresholds prevent extreme component values from dominating the result. This is a design intended to produce interpretable confidence % rather than opaque binary outputs.
History and loop safety: The code enforces a cap and protects loop lengths against available historical bars to avoid runtime errors and to ensure the script remains stable on short data series.
Practical guardrails: The script includes notification behavior to highlight manual timeframe mismatches and avoids dynamic indexing patterns that can cause unreliable results on small bar histories.
These design decisions — adaptive scaling, structural HH/HL scoring, capped normalization and explicit safety limits — are the elements that distinguish Trend Filter from simple, single-indicator overlays (EMA-only, ADX-only, etc.) and form the basis for why closed-source protection is reasonable for commercial/invite-only publication.
User controls & recommended usage
Reference Timeframe: Auto (uses chart TF) or choose a manual reference TF (1min → D). When manual TF is selected, the table shows a mismatch warning if the chart TF differs.
Table placement & colors: Positioning and appearance of the on-chart table are configurable.
Confidence thresholds: The indicator uses internal thresholds to mark high/medium/low confidence. Users can interpret the Confidence % relative to those ranges.
Alerts: Built-in alerts fire only on direction changes (to Up, Down, or Ranging). Use alerts as a signal to review the chart rather than an instruction to trade automatically.
How traders typically use it
Add Trend Filter as an overlay to your chart.
Confirm that the recommended reference timeframe is appropriate (Auto will adjust automatically).
Use Direction and Confidence % together: high Confidence + Up (or Down) suggests staying with trend; Ranging suggests avoiding trend-following entries.
Combine this filter with your entry/exit rules (price structure, support/resistance, or your preferred signal generator).
Disclaimers & limitations
This is a decision-support indicator, not an automated execution strategy. It does not place orders and does not provide P/L or backtesting statistics.
Confidence % is an aggregated measure — treat it as context, not a guarantee.
Results vary across symbols and timeframes; use appropriate position sizing and risk controls.
The code intentionally includes history and loop safeguards; on very short histories the indicator may display conservative results.
Heikin Ashi + Real Price OverlayHeikin-Ashi + Real Price Overlay
This indicator combines the smooth trend visualization of Heikin-Ashi candles with the true market price for precise execution.
Features:
Heikin-Ashi Candles: Provides a clear, smoothed view of market trends and momentum.
Real Close Price Overlay: Plots the actual closing price as a line on top of HA candles, ensuring accurate entry, exit, and stop placement.
Trend-Based Coloring: The real price line is colored according to HA trend (green for bullish, red for bearish), making trend bias instantly visible.
Lightweight and ideal for scalping, day trading, or any strategy where trend bias + exact price matters.
Use Case:
Use HA candles to identify market bias and momentum.
Use the real price line for precise entries, exits, and stop levels.
Perfect for traders who want the clarity of HA without sacrificing real price accuracy.
Live Ichimoku BOXThis indicator offers a unique "Visual" approach to the Ichimoku Kinko Hyo system. Instead of just plotting lines, it visualizes the mathematical logic behind the Tenkan-sen (9), Kijun-sen (26), and Span B (52) in real-time.
Core Concept: Ichimoku lines represent the equilibrium (50% level) of the High-Low range over a specific period. This tool draws Equilibrium Boxes to show exactly where these Highs and Lows are located relative to the current price.
Key Features:
Live Equilibrium Boxes: Visualizes the 9, 26, and 52-period ranges on the current live candle.
Mid-Lines: Clearly marks the equilibrium points (Tenkan, Kijun, Span B) within each box.
Vector Lines: Diagonal lines connecting the High and Low of each box to visualize momentum direction.
Fractals & Signals: Marks major pivots with Stars (*) and secondary pivots with Arrows.
Time Counters: Displays the candle count from the pivot to the current bar.
Future & Past: Visualizes the Chikou Span (lagging) and Future Cloud levels (leading) using dash lines.
Split-Color Background: distinct transparency for the upper and lower halves of the boxes for better trend identification.
How to Use: Use this tool to understand the market structure behind the Ichimoku lines. If the price is above the box's mid-line, the trend is bullish for that period. Aligned mid-lines indicate strong support/resistance levels.
این اندیکاتور یک دیدگاه کاملاً جدید و "بصری" (Visual) به سیستم ایچیموکو کینکو هیو (Ichimoku Kinko Hyo) ارائه میدهد. برخلاف اندیکاتورهای کلاسیک که فقط خطوط را رسم میکنند، این ابزار منطق محاسباتی پشت خطوط تنکانسن (۹)، کیجونسن (۲۶) و اسپن بی (۵۲) را در لحظه حال (Live) به تصویر میکشد.
فلسفه عملکرد: در ایچیموکو، خطوط بر اساس میانگینِ بالاترین قیمت (High) و پایینترین قیمت (Low) در یک دوره خاص محاسبه میشوند. این اندیکاتور با رسم باکسهای تعادلی (Equilibrium Boxes)، دقیقاً نشان میدهد که این سقف و کفها کجا هستند و قیمت در حال حاضر نسبت به "ناحیه تعادل" (۵۰٪ باکس) چه وضعیتی دارد.
ویژگیهای کلیدی:
🟥 باکسهای ۹، ۲۶ و ۵۲ دوره: نمایش محدوده نوسان قیمت در دورههای زمانی استاندارد ایچیموکو بر روی کندل زنده.
➖ خطوط میانی (Mid-Lines): نمایش دقیق محل تنکانسن، کیجونسن و اسپن بی به صورت خطوط دش یا ضخیم در وسط باکسها.
📐 بردارهای حرکتی (Vectors): رسم خطوط مورب داخل باکس که جهت و شتاب حرکت از High به Low (یا برعکس) را نشان میدهند.
✨ نقاط چرخش (Pivots): نمایش سقفها و کفهای ماژور با علامت ستاره (*) و نقاط برگشت فرعی با فلش (Arrows).
🔢 شمارشگر زمانی: نمایش تعداد کندلهای گذشته از سقف یا کف باکس تا لحظه حال.
🔮 آینده و گذشته: نمایش وضعیت چیکو اسپن (۲۵ کندل عقبتر) و ابرهای آینده (۲۵ کندل جلوتر) به صورت خطوط راهنما.
🎨 طراحی دو رنگ (Split Color): ناحیه بالای تعادل و پایین تعادل با شفافیتهای متفاوت نمایش داده میشوند تا تشخیص روند صعودی/نزولی در یک نگاه ساده باشد.
نحوه استفاده: این ابزار برای کسانی طراحی شده که میخواهند "چرایی" حرکت قیمت را درک کنند. وقتی قیمت بالای خط میانی باکس قرار دارد، خریداران در آن بازه زمانی کنترل را در دست دارند و برعکس. همپوشانی باکسها و خطوط میانی، نواحی قدرتمند حمایت و مقاومت را نشان میدهد.
Buy Sell Signal (Improved Simple)Buy Sell Signal (Improved Simple) es un indicador mejorado del original
Hicham XAUUSD Key Levels PRO (1H / 4H + Psychological)🔑 XAUUSD Key Levels PRO | 1H / 4H Structure + Psychological Levels
This indicator is designed specifically for Gold (XAUUSD) traders who want clean, institutional-grade key levels without chart clutter.
It combines market structure levels with true psychological price levels used by institutions, making it ideal for scalping, intraday, and swing trading.
📌 Features
🔹 Market Structure Key Levels
Automatic 1H & 4H High / Low detection
Based on swing pivots (configurable strength)
Solid lines for clear structure visibility
🔹 Gold Psychological Levels (XAUUSD)
Major levels: every 500$ (strong institutional zones)
Medium levels: every 250$
Minor levels: every 10$
Dynamic levels around current price
No line spam, optimized performance
🔹 Visual Clarity
Solid / dashed / dotted line styles
Custom colors & line thickness
Optional price labels
Works perfectly on M1 → H4
🎯 Best Use Cases
Liquidity sweeps & reactions
Premium / discount zones
Stop-loss & take-profit placement
Confluence with BOS / CHoCH
London & New York sessions
⚙️ Fully Customizable
Toggle 1H / 4H levels
Adjust psychological level spacing
Enable / disable labels
Clean & lightweight (no lag)
⚠️ Notes
Optimized for XAUUSD (Gold)
Best results when combined with price action & structure
Not a trading signal indicator
If you want:
Session-based levels
Alerts on key levels
Smart Money Concepts integration
Feel free to comment or DM 👊
Happy trading 💛📈
DisruptNEX Edge SystemDisruptNEX Edge System is an analytical overlay indicator designed to visualize market direction, trend maturity, exhaustion conditions, and impulse activity within a single, coherent framework.
The system is built as a structured analytical model rather than a collection of independent tools.
All visual elements are derived from a shared internal reference, ensuring consistency between trend context, exhaustion states, impulse activity, and higher-timeframe structure.
1. Market Regime & Trend Visualization
Illustration 1: Market regime visualization through candle coloring.
At the foundation of the system lies a price-centered baseline, computed as a windowed mid-range estimator with optional adaptive smoothing.
This baseline defines the current market regime:
Price above the baseline represents bullish directional pressure.
Price below the baseline represents bearish directional pressure.
The regime is expressed directly through candle coloring, allowing traders to visually identify the active trend without relying on additional overlays or separate panels.
This regime context acts as the primary reference for all subsequent components of the system.
2. Exhaustion Zones on the Price Chart
Illustration 2: Overbought / Oversold ribbons visualized directly on price.
DisruptNEX Edge System identifies potential exhaustion using a persistence-based evaluation of how consistently price holds above or below a volatility-adjusted reference.
Unlike oscillators displayed in a separate pane, exhaustion is visualized directly on the price chart using bounded ribbons.
Key characteristics of the exhaustion logic:
Overbought and Oversold states are detected as discrete state transitions.
Zones are marked at their initial appearance.
Visual persistence reflects state continuity rather than momentary fluctuations.
This approach helps traders assess when price reaches statistically stretched conditions relative to the active regime, often corresponding to areas where pullbacks or pauses may develop.
3. Candlestick Pattern Context
Illustration 3: Candlestick patterns displayed within the active trend context.
The system includes optional candlestick pattern detection displayed directly on the price chart as contextual information.
Patterns are evaluated relative to the active market regime and are commonly associated with short-term pauses, pullbacks, or localized price reactions within an existing trend.
Patterns are not interpreted as standalone reversal signals and do not provide trade instructions.
Their role is to complement trend context by highlighting moments where traders may choose to observe price behavior more closely.
4. Spark Impulses & Structural Reference Zones
Illustration 4: Spark impulses and dynamic structural reference zones.
Spark impulses highlight moments when directional pressure increases within the active market regime.
They are derived from a volatility-normalized measure of price displacement relative to the internal baseline and evaluated across multiple smoothing horizons.
This allows the system to identify shifts in directional activity rather than isolated price fluctuations.
Spark impulses commonly appear after consolidation, pullbacks, or localized hesitation and act as analytical confirmation that market activity is resuming in a given direction.
Alongside impulse visualization, the system derives dynamic structural reference levels based on recent price behavior and volatility.
These levels are updated only on the most recent bar and represent contextual support and resistance zones.
Structural reference levels are not predictive targets.
They serve as spatial guides, helping traders evaluate price positioning relative to recent structure and impulse activity.
5. Trend Power & Multi-Timeframe HUD
Illustration 5: Right-side HUD summarizing multiple timeframes.
The indicator includes a compact HUD panel that aggregates key structural information across multiple timeframes:
Overbought / Oversold state
Trend Power level
Trend direction
Trend Power quantifies how extended the current regime is by measuring price progression since the last confirmed regime change, normalized by volatility and mapped to a bounded scale.
This allows traders to distinguish between developing, established, and extended trends, while the multi-timeframe layout helps assess alignment between the current chart and higher-level market structure.
How to Read the Indicator
Start by observing candle coloring to identify the active market regime.
Use exhaustion ribbons to recognize areas where price may pause or pull back relative to the regime.
Treat candlestick patterns as contextual signals highlighting potential short-term reactions.
Look for Spark impulses as confirmation of renewed directional activity.
Use structural reference zones as orientation points when evaluating price location.
Consult the HUD to check trend direction, maturity, and exhaustion across higher timeframes.
Alerts & Usage Notes
Alerts are event-based and triggered only on confirmed state changes, including:
Regime transitions
Exhaustion state entries
Candlestick pattern detection
Spark impulse events
Important Notes
DisruptNEX Edge System is not an automated trading system.
It does not execute trades or provide trade instructions.
All outputs are analytical and visual in nature and are intended to support discretionary decision-making.
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite —
It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%).
How to read:
When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets).
When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment).
Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged.
Features on-chart table, regime background colors, and crossover alerts.
Great contextual tool for macro traders IMO.
Educational only — not financial advice.
Use at your own risk.
By @frank_vergaram
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided.
This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies).
Here is how it works step-by-step:
###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed:
* **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output.
* **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift.
* **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness.
* **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges.
###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**:
For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise.
###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression.
In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used:
* **Level 1:** Convolution every **1** candle.
* **Level 2:** Convolution every **2** candles (skipping one in between).
* **Level 3:** Convolution every **4** candles.
* **Level 4:** Convolution every **8** candles.
Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context).
###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately:
1. Filters the **Open** series.
2. Filters the **High** series.
3. Filters the **Low** series.
4. Filters the **Close** series.
This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`.
###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`).
The code includes a repair section:
```pinescript
real_high = math.max(w_high, w_low)
real_high := math.max(real_high, math.max(w_open, w_close))
// Same logic for Low (math.min)
```
This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point.
---
###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**.
* If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish.
* If it is **red**, the energy is bearish.
* The wicks show volatility that exists within the bounds of the selected decomposition level.
Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach.
---
###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor.
**Differences and Philosophy:**
A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend).
* **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks.
* **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly.
###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently.
**Differences and Philosophy:**
Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly.
The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction.
* **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation.
* **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly.
###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price.
**Differences and Philosophy:**
Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart.
The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays").
* **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies.
* **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market.
###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
