Intermarket Swing Projection [LuxAlgo]The Intermarket Swing Projection allows traders to plot price movement swings from any user-selected asset directly onto the chart in the form of zigzags and/or horizontal support and resistance levels.
This tool rescale the external asset price on the user chart, enabling traders to make direct comparisons.
It answers the question of how different the price behavior is between two assets, accounting for each asset's volatility.
🔶 USAGE
This tool is based on swing detection of two different assets: the chart and a user-selected asset. It allows traders to compare two assets on an equal footing while accounting for volatility and price behavior.
Traders can customize the detection by selecting a custom ticker, timeframe, the number of swings and length for swing detection. This makes the tool a Swiss army knife for asset comparison.
As we can see in the image below, the Show Last, Pivot Length, and Spread parameters are key to defining the final output of the tool.
"Show Last" defines how many pivots are displayed. "Pivot Length" is used for pivot detection; a larger value will detect larger market structures. "Spread" defines how far apart the horizontal levels will be from their original location in terms of volatility.
🔹 Comparing different assets
This image shows the Nasdaq 100 futures contract compared to four other futures contracts: S&P 500, gold, bitcoin, and euro/U.S. dollar.
Plotting all of these assets in Nasdaq 100 terms makes it easy to compare and analyze price behaviors and identify key levels.
In the top left chart, we have NQ vs. ES. It's no surprise that they are practically an exact match; a large portion of the S&P 500 is technology.
In the top right chart, NQ vs. GC, we see totally different behaviors. We can clearly see the summer consolidation in gold and the resumption of the uptrend, which took gold above 29,200 NQ points, up from 21,200.
In the bottom right chart, we see bitcoin making new highs, way above the Nasdaq in May, July, and October. However, the last high was way below the Nasdaq prices on October 27—the first lower high in a while. Sellers are pushing down.
Finally, the bottom left chart is NQ vs. 6E. We can see large volatility in the uptrend since February, with NQ unable to catch up until now. The last swing low was almost a match, and 6E is in a range.
As we can see, this tool allows us to perform intermarket analysis properly by accounting for each asset's volatility and price behavior. Then, we plot them on the same scale on equal terms, which makes performing this kind of analysis easy.
As we can see in the chart above, the assets are the same as in the previous image, but the timeframe is 1H with different settings.
Note the horizontal levels acting as support and resistance, as well as how NQ prices react to the zones marked with white circles. These levels are derived from custom assets selected by the user.
🔹 Displaying Elements
Zig-zag allows traders to clearly see the path that the selected asset's price took, as well as its turning points.
Horizontal levels are displayed from those turning points to the present and can be used as support or resistance. Traders can adjust the spread parameter in the settings panel to expand or contract those levels' volatility.
There are two color modes for the levels: average and pivots. In the first mode, green is used for levels below the average and red for levels above the average. The second uses green for swing lows and red for swing highs.
The backpaint feature is enabled by default and allows the swings to be displayed in the correct location. With this feature disabled, the swings will be displayed in the current location when a new swing is detected.
🔶 DETAILS
On a more technical note, the rescaling is formed by calculating three main elements from all the swings detected on the custom and chart assets:
The chart asset's average of all swing points
The chart asset's standard deviation of all swing points
The custom asset's z-score for each swing point
Then, the re-scaled swing point is calculated as the average plus the z-score multiplied by the standard deviation. This makes it possible to plot AAPL swings on an NQ chart, for example.
Thanks to re-scaling, we can directly compare the price behavior of two assets with different price ranges and volatility on the same chart.
🔶 SETTINGS
🔹 Trendlines
Ticker: Select the custom ticker.
Timeframe: Select a custom timeframe.
Show Last: Select how many swing points to display.
Pivot Length: Select the size for swing point detection.
Spread: Volatility multiplier for horizontal levels. Larger values mean the levels are farther apart.
Backpaint: Enable or disable the backpaint feature. When enabled, the drawings will be displayed where they were detected. When disabled, the drawings will be displayed at the moment of detection.
🔹 Style
Show ZigZag: Enable or disable the ZigZag display and choose a line style.
Show Levels: Enable or disable the levels display and choose a line style.
Color Mode: Choose between Average Mode, which colors all levels below the average bullish and all levels above bearish, and Pivot Mode, which colors swing highs bearish and swing lows bullish.
Bullish: Select a bullish color.
Bearish: Select a bearish color.
ZigZag: Select the ZigZag color.
Cerca negli script per "100年国际黄金价格"
SNIPER ORB# 🎯 SNIPER ORB TRADING CHEAT SHEET
## Quick Reference Guide for Live Trading
---
## 📊 VISUAL IDENTIFICATION GUIDE
```
═══════════════════════════════════════════════════════════════════
YOUR CHART AT A GLANCE
═══════════════════════════════════════════════════════════════════
🔵 BRIGHT BLUE BOX (5min) → Fastest ORB, early warning signals
🔷 CYAN BOX (15min) → Mid-term institutional reference
🟣 PURPLE BOX (30min) → PRIMARY TRADING RANGE (your base)
🟢 GREEN DASHED LINES → Upside profit targets (long)
🔴 RED DASHED LINES → Downside profit targets (short)
🟡 GOLD LINE (VWAP) → Institutional fair value anchor
═══════════════════════════════════════════════════════════════════
```
---
## ⏰ SESSION TIMING MATRIX
| Session | Start Time | ORB Complete | Breakout Window | End Time |
|---------|-----------|--------------|-----------------|----------|
| **London Open** | 3:00 AM ET | 3:30 AM ET | 3:30-5:00 AM | 9:30 AM ET |
| **New York Open** | 9:30 AM ET | 10:00 AM ET | 10:00-11:30 AM | 5:00 PM ET |
**💡 GOLDEN RULE**: Wait for 30min ORB to **complete** before taking breakout trades!
---
## 🎯 THE 5 HIGH-PROBABILITY SETUPS
### **SETUP #1: CLEAN BREAKOUT** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB complete (10:00 AM for NY / 3:30 AM for London)
✅ Price breaks ABOVE purple high (bullish) or BELOW purple low (bearish)
✅ VWAP confirms direction:
• Long: VWAP below price
• Short: VWAP above price
✅ Volume spike on breakout candle
ENTRY: Breakout candle close
STOP: Inside 30min ORB (opposite side)
TARGET 1: First green/red target (0.5x range)
TARGET 2: Second target (1x range)
TARGET 3: Third target (1.5x range)
WIN RATE: 65-75% | R:R = 1:2 minimum
```
---
### **SETUP #2: FALSE BREAKOUT REVERSAL** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks purple high/low initially
✅ Fails to hold (wick reversal or immediate rejection)
✅ Re-enters 30min ORB zone
✅ VWAP acts as rejection point
✅ Breaks opposite side of 30min ORB
ENTRY: When price breaks opposite ORB boundary
STOP: Original false breakout high/low
TARGET 1: VWAP (quick scalp)
TARGET 2: First opposite target line
WIN RATE: 70-80% | R:R = 1:3+ (trapped traders exit)
NOTES: Most profitable setup - institutions hunting stops
```
---
### **SETUP #3: TRIPLE ORB COMPRESSION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ All 3 ORBs tightly aligned (5min, 15min, 30min overlap)
✅ Range < 0.5% of price (very tight)
✅ VWAP sitting in middle of compression
✅ Multiple candles consolidating inside
ENTRY: Simultaneous break of ALL 3 ORBs
STOP: Middle of compression zone
TARGET: 2x-3x normal targets (explosive move)
WIN RATE: 60-70% | R:R = 1:4+ (volatility expansion)
NOTES: Low volume → high volume shift = institutional play
```
---
### **SETUP #4: VWAP RETEST CONTINUATION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB already broken (trend established)
✅ Price pulls back to VWAP
✅ VWAP acts as dynamic support/resistance
✅ Rejection candle forms at VWAP
ENTRY: Candle closes back in trend direction from VWAP
STOP: 10-15 points beyond VWAP
TARGET: Next target line (1x, 1.5x, 2x)
WIN RATE: 70-75% | R:R = 1:2
NOTES: Safest continuation entry, institutions defending VWAP
```
---
### **SETUP #5: OPENING RANGE FADE** ⭐⭐⭐
```
CONDITIONS:
✅ Price stuck inside 30min ORB for 1+ hours post-formation
✅ Multiple failed attempts to break high or low
✅ VWAP in dead center (neutral)
✅ Decreasing volume
ENTRY: Sell at purple high, buy at purple low (range bound)
STOP: Outside ORB by 20 points
TARGET: Opposite ORB boundary + VWAP
WIN RATE: 55-65% | R:R = 1:1.5
NOTES: Use on slow/choppy days only, exit if breakout starts
```
---
## 🛡️ RISK MANAGEMENT RULES
### **Position Sizing Matrix**
```
Account Size: $50,000 example
Risk Per Trade: 1-2% max
ORB Range | Stop Distance | Position Size (1% risk) | YM Contracts
-------------|---------------|-------------------------|-------------
50 points | 50 points | $500 risk | 1 contract
100 points | 100 points | $500 risk | 1 contract
150 points | 150 points | $500 risk | 1 contract
200 points | 200 points | $500 risk | 1 contract
Formula: Risk $ ÷ (Stop Distance × $5 per point) = Contracts
```
### **The 3-Strike Rule**
```
✅ Strike 1: Full position size
❌ Stop hit → Strike 2: Half position size
❌ Stop hit → Strike 3: 1/4 position size
❌ Stop hit → DONE for the session
```
### **Profit Taking Strategy**
```
TARGET 1 (0.5x): Take 50% off, move stop to breakeven
TARGET 2 (1x): Take 30% off, trail stop 20 points
TARGET 3 (1.5x): Take 15% off, let 5% run to 2x-3x
```
---
## ⚠️ DO NOT TRADE IF...
```
🚫 30min ORB incomplete (wait until 10:00 AM NY / 3:30 AM London)
🚫 ORB range < 30 points YM (too tight, likely fake breakout)
🚫 ORB range > 300 points YM (too wide, unpredictable)
🚫 Major news release within 30 minutes
🚫 You've hit 3 losses in the session (walk away)
🚫 Price whipsawing violently (wait for structure)
🚫 You're tired, emotional, or distracted
```
---
## 🔍 PRE-MARKET CHECKLIST
**Every Morning Before Trading:**
```
□ Check economic calendar (avoid high-impact news)
□ Identify previous day's high/low (macro context)
□ Note overnight price action (gap up/down?)
□ Load SNIPER ORB on 1min or 5min chart
□ Select active session (London or New York)
□ Set TradingView alerts for ORB breakouts
□ Prepare stop/target orders in advance
□ Review yesterday's ORB ranges (context)
```
---
## 🎨 INDICATOR SETTINGS QUICK REFERENCE
### **Default Configuration (Recommended)**
```
Session: New York
Number of Targets: 3
Target % Increment: 50% (gives 0.5x, 1x, 1.5x)
Show VWAP: ON
VWAP Line Width: 2
ORB Line Width: 2
Target Line Width: 1
```
### **Aggressive Day Trading Setup**
```
Session: New York
Number of Targets: 5
Target % Increment: 30% (tighter targets)
Show VWAP: ON
```
### **Conservative Swing Setup**
```
Session: New York
Number of Targets: 2
Target % Increment: 75% (wider targets)
Show VWAP: ON
```
---
## 📈 OPTIMAL TIMEFRAME BY STYLE
| Trading Style | Recommended TF | Why? |
|--------------|----------------|------|
| **Scalper** | 1-minute | See every tick, 5-15 min holds |
| **Day Trader** | 5-minute | Balanced view, 30-90 min holds |
| **Swing Trader** | 15-minute | Less noise, 2-4 hour holds |
**💡 PRO TIP**: Use 5min chart for entries, but watch 1min for precise timing!
---
## 🧠 PATTERN RECOGNITION QUICK GUIDE
### **Bullish ORB Patterns**
```
1. "Staircase" → Price respects each target as new support
2. "Rocket Launch" → Clean break through all targets no pullback
3. "VWAP Bounce" → Pullback to VWAP, then continuation higher
4. "Triple Compression" → All ORBs converge then explosive breakout
```
### **Bearish ORB Patterns**
```
1. "Waterfall" → Price cascades through all downside targets
2. "Failed High" → Breaks top, immediately reverses to bottom
3. "VWAP Rejection" → Hits VWAP from above, hard rejection down
4. "Slow Bleed" → Gradual drift lower, respecting each target
```
### **Neutral/Chop Patterns**
```
1. "Ping Pong" → Price bouncing between ORB high/low repeatedly
2. "Flat VWAP" → VWAP horizontal, price hugging it (no trade)
3. "Wide Range" → ORB > 300 points, too much uncertainty
4. "Gap Confusion" → Opens far outside all ORBs, wait for reset
```
---
## 📊 CONFLUENCE SCORING SYSTEM
**Rate Each Trade 1-10 Before Entry:**
```
Breakout confirmed (30min ORB): +2 points
VWAP alignment: +2 points
Volume spike on breakout: +1 point
All 3 ORBs align: +1 point
Clean candle close beyond ORB: +1 point
Your YM SNIPER GOD MODE signal: +2 points
Time: 10:00-11:30 AM ET window: +1 point
SCORING:
9-10 points = SNIPER SETUP (maximum size)
7-8 points = GOOD TRADE (standard size)
5-6 points = MARGINAL (half size or skip)
< 5 points = NO TRADE (wait for better)
```
---
## 🎯 INTEGRATION WITH YM ULTIMATE SNIPER v8.1
**The Perfect Confluence:**
```
STEP 1: SNIPER ORB identifies the STRUCTURE
→ 30min ORB defines "Zones That Matter"
→ VWAP shows institutional bias
→ Targets define profit zones
STEP 2: YM ULTIMATE SNIPER triggers the ENTRY
→ Wait for GOD MODE signal at ORB boundary
→ 6-gate system confirms institutional pressure
→ Score ≥9.0, fat body ≥70%, delta dominance ≥70%
STEP 3: Execute with PRECISION
→ ORB break + GOD MODE = highest probability
→ Enter only when BOTH systems align
→ This is TRUE "sniper" trading
```
---
## 💡 COMMON MISTAKES TO AVOID
```
❌ Entering BEFORE 30min ORB completes
✅ Wait until 10:00 AM (NY) or 3:30 AM (London)
❌ Ignoring VWAP position
✅ Always check: is VWAP confirming your directional bias?
❌ Chasing breakouts after 50+ point move
✅ Wait for pullback to VWAP or first target
❌ Trading during lunch (12-1 PM ET)
✅ Volume dies, false signals increase
❌ Using same target % in all conditions
✅ Adjust: 30-40% in chop, 50-75% in trends
❌ Forgetting to move stop to breakeven at Target 1
✅ NEVER give back a winning trade
❌ Overtrading on slow days
✅ Some days only have 1-2 clean setups, that's okay!
❌ Not respecting the 3-strike rule
✅ 3 losses = done, come back tomorrow
```
---
## 📱 MOBILE TRADING SETUP
**TradingView Mobile App:**
```
1. Save SNIPER ORB as "Default Layout"
2. Enable push notifications for alerts
3. Set bracket orders (stop + targets) in advance
4. Keep phone charged during trading hours
5. Have broker app ready for quick execution
```
---
## 🔔 ALERT CONFIGURATION
**Essential Alerts to Set:**
```
1. "30min ORB Complete"
→ Time-based: 10:00 AM ET (NY) / 3:30 AM ET (London)
2. "ORB Breakout Up"
→ Built-in: Price > 30min ORB high
3. "ORB Breakout Down"
→ Built-in: Price < 30min ORB low
4. "VWAP Touch"
→ Custom: Price crosses VWAP line
5. "Target 1 Hit"
→ Price level: First green/red target line
```
---
## 🎓 DAILY REVIEW TEMPLATE
**After Each Trading Session:**
```
Date: __________ Session: London / New York
Total Setups Identified: ____
Trades Taken: ____
Win Rate: ____%
P&L: $______
Best Trade:
- Setup type: _________________
- Entry: ______ Exit: ______
- What went right: _________________
Worst Trade:
- Setup type: _________________
- Entry: ______ Exit: ______
- What went wrong: _________________
Tomorrow's Adjustments:
□ _________________________________
□ _________________________________
□ _________________________________
```
---
## 🚀 QUICK START: YOUR FIRST TRADE
**5-Minute Walkthrough:**
```
1. ADD TO CHART (9:25 AM ET)
→ Load SNIPER ORB indicator
→ Select "New York" session
→ Set targets: 3 levels, 50%
2. WAIT (9:30-10:00 AM)
→ Watch 30min ORB form (purple box)
→ Note VWAP position
→ Identify if price trending or ranging
3. PREPARE (10:00 AM)
→ 30min ORB complete!
→ Measure range (info table shows points)
→ Set alerts for breakout
4. EXECUTE (10:00-11:30 AM)
→ Breakout signal fires
→ Check VWAP alignment
→ Check YM SNIPER confluence
→ Enter trade if 7+ confluence points
5. MANAGE
→ Target 1: Take 50%, move stop to BE
→ Target 2: Take 30%, trail stop
→ Target 3: Let remainder run
6. REPEAT
→ Maximum 3 trades per session
→ Stop after 3 losses
```
---
## 🏆 WINNING TRADER MINDSET
```
"I don't need to trade every ORB breakout.
I only need the HIGH-PROBABILITY setups.
3-5 trades per day is enough.
90%+ win rate on those 3-5 trades = success.
Patience + Precision = Profitability"
```
---
## 📞 TROUBLESHOOTING
**Indicator Not Showing?**
- Check max_boxes/max_lines limits in code
- Verify you're on 1min-30min timeframe
- Ensure TradingView session is 9:30-17:00 ET
**ORBs Look Wrong?**
- Verify timezone: should be "America/New_York"
- Check if market has DST adjustment today
- Confirm broker chart time matches indicator
**VWAP Disappeared?**
- Toggle "Show Anchored VWAP" in settings
- Check if session ended (auto-disappears at 5 PM)
- Verify you're not in pre-market hours
**Targets Too Close/Far?**
- Adjust "Target % Increment" setting
- 30% = tighter, 75% = wider
- Default 50% works for most conditions
---
## 🎯 FINAL CHECKLIST BEFORE GOING LIVE
```
□ Backtested on replay mode for 2+ weeks
□ Understand all 5 setup types
□ Risk management rules memorized
□ YM Ultimate SNIPER v8.1 loaded on same chart
□ TradingView alerts configured
□ Stop/target calculator ready
□ Trading journal template prepared
□ Emotional state: calm and focused
□ Sufficient account size (minimum $10k recommended)
□ Broker platform tested and ready
IF ALL CHECKED → YOU'RE READY TO SNIPE! 🎯
```
---
## 📚 ADVANCED RESOURCES
**Combine SNIPER ORB with:**
- Cumulative Volume Delta (CVD) for confirmation
- Footprint charts for order flow at ORB boundaries
- Market profile for volume-at-price context
- Options flow for institutional positioning
- Economic calendar for high-volatility avoidance
**Study Material:**
- Mark Fisher "The Logical Trader" (ORB bible)
- SMB Capital YouTube (institutional ORB strategies)
- Your own YM Ultimate SNIPER documentation
- Price action at previous session ORBs (historical analysis)
---
**💎 REMEMBER: Quality over quantity. Sniper precision over shotgun spray.**
**🎯 Good luck, and happy sniping! 🎯**
═══════════════════════════════════════════════════════════════════
END OF SNIPER ORB TRADING CHEAT SHEET
═══════════════════════════════════════════════════════════════════
5 EMA SuiteHere is a breakdown of the code logic, tailored to your background as a developer.
### 1\. Version & Declaration
```pinescript
//@version=6
indicator("5 EMA Suite", shorttitle="5 EMA", overlay=true)
```
* **`//@version=6`**: This is the compiler directive. It tells TradingView to use the latest Pine Script engine (v6).
* **`indicator(...)`**: This defines the script properties.
* `"5 EMA Suite"`: The full name seen in the library.
* `shorttitle="5 EMA"`: The label seen on the chart legend.
* `overlay=true`: This is crucial. It tells the script to draw **on top of the price candles**. If this were `false`, the lines would appear in a separate pane below the chart (like an RSI or MACD volume oscillator).
### 2\. User Inputs (The "Settings" UI)
```pinescript
group_settings = "EMA Configurations"
len1 = input.int(9, title="EMA 1 Length", minval=1, group=group_settings)
...
src = input.source(close, title="Source", group=group_settings)
```
* **`input.int(...)`**: This creates an integer field in the UI settings menu. It’s similar to defining public properties in a .NET class that a user can configure at runtime.
* **`9`**: The default value.
* **`minval=1`**: Input validation (prevents divide-by-zero or negative length errors).
* **`group`**: Organizes all these inputs under a collapsible header in the settings menu, keeping the UI clean.
* **`input.source(...)`**: Allows you to choose what data to calculate on (e.g., `close`, `open`, `high`). Default is `close`.
### 3\. The Calculation Logic
```pinescript
ema1 = ta.ema(src, len1)
```
* **`ta.ema`**: This calls the built-in **Technical Analysis** namespace (`ta`).
* It calculates the Exponential Moving Average using the `src` (Price) and `len1` (Lookback period) defined above.
* Pine Script handles the array/series processing automatically. You don't need a `for` loop to iterate through historical bars; the runtime executes this script once for every bar on the chart efficiently.
### 4\. Visualization (Plotting)
```pinescript
plot(ema1, color=color.new(color.blue, 0), title="EMA 1", linewidth=1)
```
* **`plot(...)`**: The command to render the data on the canvas.
* **`color.new(color.blue, 0)`**: In v6, you cannot pass transparency directly to `plot`. You must create a color object.
* `color.blue`: The base color.
* `0`: The transparency (0 = solid/opaque, 100 = invisible).
* **`linewidth`**: Sets the thickness of the line (pixels). I increased the thickness for higher EMAs (50, 100, 200) in the code so visually they stand out as "major" support/resistance levels.
-----
Multi SMAOverlay indicator that displays a complete set of Simple Moving Averages in a single script: SMA 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 100, and 200.
It includes a selectable source (close, hl2, etc.) and two toggles to quickly show/hide short-term SMAs (5–50) and long-term SMAs (100–200). Ideal for analyzing trend direction, moving average alignment, and dynamic support/resistance zones directly on the price chart.
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
3 Lines RCI + Psy Signal + RSI Background📌 3 Lines RCI + Psy Signal + RSI Background
This indicator combines three RCI lines, Psychological Line signals, RSI-based background highlights, and ADX strength detection to visualize market momentum, trend strength, and potential reversal zones.
🔍 Main Features
📌 1. Triple RCI (Rank Correlation Index)
Displays Short / Mid / Long RCI
Detects momentum shifts and trend reversals
Highlight zones:
Overbought: +80 ~ +100 (Red Zone)
Oversold: -80 ~ -100 (Green Zone)
📌 2. Psychological Line Signal
Column bars appear only in extreme conditions:
Overbought → Red Bars
Oversold → Green Bars
Helps detect short-term sentiment extremes
📌 3. RSI Background Highlight
Red Background: RSI > Overbought threshold
Green Background: RSI < Oversold threshold
Provides a visual cue of underlying market pressure.
📌 4. ADX Trend Strength
ADX line color shows strength level:
Blue: Weak trend
Yellow: Moderate trend
Red: Strong trend
Useful to identify whether signals occur in a trend or range state.
🎯 Trading Usage Tips
RCI + RSI + Psy confluence can identify strong reversal timing.
Use signals only when ADX is weak or moderate to avoid counter-trading a strong trend.
Combine short/mid RCI crossovers with extreme zones for potential entry timing.
⚙️ Suitable For
Scalping, day trading, swing trading
Stocks, Forex, Crypto, Indices, Commodities
ICT Fair Value Gap Detector [Eˣ]⚡ Fair Value Gap Detector
Overview
The Fair Value Gap Detector automatically identifies price imbalances on your charts - the inefficiencies left behind when price moves too quickly. This indicator reveals where price is likely to return for "rebalancing", based on ICT (Inner Circle Trader) concepts of market efficiency.
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🎯 What This Indicator Does
Detects Fair Value Gaps:
• 🟢 Bullish FVG - Gap left below during aggressive upward move
• 🔴 Bearish FVG - Gap left above during aggressive downward move
• Automatically identifies 3-candle price inefficiencies
• Works on all timeframes and instruments
Smart Fill Tracking:
• Full Fill - Price completely fills the gap
• 50% Fill - Price fills half the gap (critical level)
• Partial Fill - Price touches gap edge
• Real-time fill percentage tracking
• Auto-removes filled gaps (optional)
Professional Features:
• Active Gap Highlighting - Shows nearest unfilled gap
• Distance Calculator - Displays how far price is from gaps
• Market Bias - Analysis based on gap balance
• Size Filtering - Minimum gap size to avoid noise
• Visual Clarity - Clean boxes with color-coding
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📚 Understanding Fair Value Gaps
What Are Fair Value Gaps?
Fair Value Gaps (FVGs), also known as imbalances or inefficiencies, are zones where price moved so quickly that normal trading didn't occur. They represent:
• Price Imbalance - One-sided aggressive buying or selling
• Unfair Pricing - Some participants didn't get to trade at these levels
• Market Inefficiency - Supply/demand equilibrium was disrupted
• Rebalancing Zones - Price often returns to "fill" these gaps
The ICT Concept:
Markets constantly seek equilibrium (fair value). When price moves too fast:
1. It leaves gaps where normal trading didn't happen
2. These gaps represent unfair/inefficient pricing
3. Market has a tendency to return and "rebalance"
4. Smart money knows this and trades the fills
Why FVGs Work:
• Unfilled Orders - Traders who missed the move have pending orders in the gap
• Algorithmic Trading - Algos programmed to exploit inefficiencies
• Market Psychology - Traders notice gaps and place orders there
• Institutional Behavior - Smart money uses gaps for entries/exits
FVG vs Regular Gaps:
• Regular Gaps - Occur at market open, between daily closes
• Fair Value Gaps - Occur intraday, between 3 consecutive candles
• FVGs happen more frequently and on all timeframes
• FVGs are more tradeable for intraday/swing traders
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🟢 Bullish Fair Value Gaps Explained
How They Form:
Bullish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the high reference)
2. Candle 2 - Strong bullish candle (aggressive buying)
3. Candle 3 - Continuation candle
The Gap: Candle 3's LOW is above Candle 1's HIGH = Gap left unfilled
Visual Example:
```
Candle 3: Low at $105 ──────────┐
│ ← GAP (Bullish FVG)
Candle 2: Strong bullish │
│
Candle 1: High at $100 ──────────┘
```
What It Means:
• Price jumped from $100 to $105+ so fast, no trading occurred in between
• This $100-$105 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as support
Trading Bullish FVGs:
Strategy:
• Wait for price to retrace down into the bullish FVG (green box)
• Look for rejection/bounce from the gap zone
• Enter long when price respects the FVG as support
• Stop loss: Below the FVG
• Target: Previous high or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches bottom of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bullish FVG forms: $50,000 - $50,500 (500 point gap)
• Price rallies to $52,000 then retraces
• Price drops to $50,250 (50% of gap filled)
• Bullish reversal candle appears
• Enter long at $50,500, stop at $49,800
• Target: $52,000+
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🔴 Bearish Fair Value Gaps Explained
How They Form:
Bearish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the low reference)
2. Candle 2 - Strong bearish candle (aggressive selling)
3. Candle 3 - Continuation candle
The Gap: Candle 3's HIGH is below Candle 1's LOW = Gap left unfilled
Visual Example:
```
Candle 1: Low at $100 ───────────┐
│ ← GAP (Bearish FVG)
Candle 2: Strong bearish │
│
Candle 3: High at $95 ───────────┘
```
What It Means:
• Price dropped from $100 to $95 so fast, no trading occurred in between
• This $95-$100 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as resistance
Trading Bearish FVGs:
Strategy:
• Wait for price to retrace up into the bearish FVG (red box)
• Look for rejection/reversal from the gap zone
• Enter short when price respects the FVG as resistance
• Stop loss: Above the FVG
• Target: Previous low or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches top of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bearish FVG forms: $48,000 - $48,500 (500 point gap)
• Price drops to $46,000 then retraces
• Price rallies to $48,250 (50% of gap filled)
• Bearish reversal candle appears
• Enter short at $48,000, stop at $48,700
• Target: $46,000-
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📊 How To Use This Indicator
Strategy 1: FVG Rebalancing (Classic)
Best For: Swing trading, reversal trading
Timeframes: 15min, 1H, 4H
Win Rate: 65-75%
Entry Rules:
1. Identify unfilled FVG (bright color, not gray)
2. Wait for price to return to the gap
3. Best entry: 50% fill of the gap
4. Look for reversal confirmation:
• Bullish FVG: Pin bar, engulfing, hammer
• Bearish FVG: Shooting star, bearish engulfing
5. Enter when price bounces/rejects from FVG
6. Stop: Beyond opposite side of FVG
7. Target: 2-3R or previous high/low
Why It Works: 70%+ of FVGs get filled, and 60%+ show reaction
Strategy 2: FVG + Order Block Confluence
Best For: High-probability setups
Timeframes: 1H, 4H
Win Rate: 75-85%
Entry Rules:
1. Find FVG that overlaps with Order Block
2. This creates a "super zone" of confluence
3. Wait for price to return to this zone
4. Enter on first touch of confluence zone
5. Stop: Beyond the confluence zone
6. Target: 3-4R
Why It Works: Double institutional concepts = highest probability
Strategy 3: Multi-Timeframe FVG
Best For: Position trading, major moves
Timeframes: Combine Daily + 4H or 4H + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify large FVG on higher timeframe (Daily/4H)
2. Wait for price to enter this HTF FVG
3. Switch to lower timeframe (4H/1H)
4. Look for LTF FVG within HTF FVG in same direction
5. Trade the LTF FVG fill
6. Stop: Below LTF FVG
7. Target: Exit HTF FVG or beyond
Why It Works: Timeframe alignment = institutional consensus
Strategy 4: FVG Rejection Trade
Best For: Quick scalps, day trading
Timeframes: 5min, 15min
Win Rate: 60-70%
Entry Rules:
1. Price enters FVG zone
2. Immediate rejection (strong reversal candle)
3. Enter on close of rejection candle
4. Tight stop beyond FVG
5. Quick target: 1-2R
Why It Works: Strong rejection = institutional defense of level
Strategy 5: FVG-to-FVG Trading
Best For: Momentum trading
Timeframes: 15min, 1H
Win Rate: 55-65%
Entry Rules:
1. Identify bullish FVG below and bearish FVG above
2. Enter long at bullish FVG, target bearish FVG
3. Or enter short at bearish FVG, target bullish FVG
4. Price often moves from one imbalance to another
5. Stop: Beyond trading FVG
6. Target: Opposite FVG
Why It Works: Price rebalances from one inefficiency to another
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⚙️ Settings Explained
Display Settings
Show Bullish/Bearish FVG
• Toggle each type on/off independently
• Customize colors for each FVG type
• Default: Green (bullish), Red (bearish)
• Tip: Use colors that contrast with your chart
Max FVG to Display (Default: 20)
• Limits how many gaps are shown at once
• Lower (10-15): Cleaner chart, recent gaps only
• Higher (30-50): More historical context
• Recommended: 15-25 for most trading
Show FVG Labels (Default: ON)
• Displays "FVG+" and "FVG-" text on gaps
• Shows 🎯 on active (nearest) gap
• Shows fill percentage (e.g., "FVG+ 35%")
• Turn OFF for minimal appearance
• Recommended: Keep ON for clarity
Extend Gaps (bars) (Default: 50)
• How far to extend gap boxes to the right
• Lower (20-30): Shorter boxes
• Higher (100+): Longer boxes, easier to see
• Gaps auto-extend until filled or limit reached
• Recommended: 40-60 bars
Filters
Min Gap Size % (Default: 0.05)
• Minimum gap size as percentage of price
• Filters out tiny, insignificant gaps
• Crypto: 0.05-0.15% (high volatility)
• Forex: 0.03-0.10% (moderate volatility)
• Stocks: 0.05-0.20% (varies by stock)
• Indices: 0.05-0.15%
• Adjust based on instrument's average move
Show Filled Gaps (Default: OFF)
• When ON: Shows gray boxes for filled gaps
• When OFF: Gaps disappear after mitigation
• Use ON: For learning and backtesting
• Use OFF: For clean, active trading view
Advanced Settings
Auto-Detect Mitigation (Default: ON)
• Automatically tracks when gaps are filled
• Updates fill percentage in real-time
• Marks gaps as "mitigated" when filled
• Recommended: Keep ON
Mitigation Type (Default: Full)
• Full: Gap considered filled when price closes through entire gap
• 50%: Gap considered filled at 50% (critical level)
• Partial: Gap considered filled on first touch
• For learning: Use "Full"
• For aggressive trading: Use "50%"
• For conservative trading: Use "Partial"
Highlight Nearest Gap (Default: ON)
• Highlights the closest unfilled gap to current price
• Active gap shown with 🎯 emoji and brighter color
• Helps focus on most relevant opportunity
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish FVG Count
• Number of active (unfilled) bullish fair value gaps
• Higher number = More potential support zones below
• Multiple bullish FVGs = Strong rebalancing demand
Bearish FVG Count
• Number of active (unfilled) bearish fair value gaps
• Higher number = More potential resistance zones above
• Multiple bearish FVGs = Strong rebalancing supply
Bias Indicator
• ⬆ Bullish: More bullish FVGs than bearish
• ⬇ Bearish: More bearish FVGs than bullish
• ↔ Neutral: Equal FVGs on both sides
• Market tends to fill nearby gaps first
Target Indicator
• Shows nearest unfilled gap and distance
• Example: "Bull FVG -1.25%" = Bullish gap is 1.25% below price
• Example: "Bear FVG +0.85%" = Bearish gap is 0.85% above price
• Watch for price to reach these targets
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📱 Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish FVG
• Fires when price drops into a bullish gap
• Action: Watch for bounce/reversal
• High-probability long setup developing
2. Price Entering Bearish FVG
• Fires when price rallies into a bearish gap
• Action: Watch for rejection/reversal
• High-probability short setup developing
3. New Bullish FVG Detected
• Fires when a new bullish gap forms
• Action: Mark zone for future fill
• New rebalancing target below identified
4. New Bearish FVG Detected
• Fires when a new bearish gap forms
• Action: Mark zone for future fill
• New rebalancing target above identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Fair Value Gap Detector"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch fills in real-time
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💎 Pro Tips & Best Practices
✅ DO:
• Wait for 50% fill - Middle of gap has highest win rate (65-70%)
• Use confirmation - Don't trade just because price touched gap
• Combine with structure - FVG + support/resistance = high probability
• Trade first fill - Unfilled gaps have better success rate than refilled
• Respect full fills - Once fully filled, gap is less reliable
• Use multiple timeframes - HTF FVGs are stronger than LTF
• Check session timing - FVGs work best during London/NY sessions
• Follow the bias - More bullish FVGs = favor longs
⚠️ DON'T:
• Don't blindly fade gaps - Wait for price action confirmation
• Don't ignore momentum - Strong trends can blow through FVGs
• Don't trade every gap - Quality over quantity
• Don't assume all gaps fill - About 70-80% fill, 20-30% don't
• Don't use tight stops - Allow room for wick into gap
• Don't overtrade - Wait for confluence and confirmation
• Don't fight trends - Best FVG trades are with higher TF trend
• Don't ignore fill percentage - 50% is often the sweet spot
🎯 Best Timeframes:
• Scalpers: 1min, 5min (many gaps, quick fills)
• Day Traders: 5min, 15min, 1H (balanced)
• Swing Traders: 1H, 4H, Daily (larger, more reliable gaps)
• Position Traders: 4H, Daily, Weekly (major imbalances)
🔥 Best Instruments:
• Excellent: BTC, ETH, ES, NQ, Forex majors (clean price action)
• Good: Gold, Oil, Major indices, Large-cap stocks
• Moderate: Altcoins, small-cap stocks (more noise)
• Best Markets: Trending markets with clear swings
⏰ Best Times for FVG Trading:
• London Session: High volume = reliable gap fills
• NY Session: Strong moves create quality gaps
• London-NY Overlap: Best time for gap creation and fills
• Asian Session: Lower probability, wait for London
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🎓 Advanced FVG Concepts
FVG Mitigation Levels
Understanding fill percentages:
• 0-25% Fill: Gap barely touched, often continues without fill
• 25-50% Fill: Partial rebalancing, may reverse here
• 50% Fill: CRITICAL LEVEL - Highest probability reversal zone
• 50-75% Fill: Deep rebalancing, strong reversal likely
• 75-100% Fill: Full rebalancing, gap's purpose fulfilled
Why 50% Matters: Market seeks equilibrium, and 50% represents perfect balance
FVG Inversions
When price breaks through a gap completely:
• Bullish FVG that's broken becomes bearish (support → resistance)
• Bearish FVG that's broken becomes bullish (resistance → support)
• Inverted gaps are weaker than fresh gaps
• Trading: Can fade the inverted gap but with caution
FVG Confluence Zones
Multiple FVGs at similar level:
• Creates "super gap" or confluence zone
• Much higher probability of reaction
• Wider zone for entries (more room for stops)
• Often aligns with other institutional concepts
FVG + Order Block Combo
When FVG overlaps with Order Block:
• Double institutional concept
• Extremely high probability setup (75-85% win rate)
• Price drawn to fill gap AND test order block
• Use tight stops, generous targets (3-5R possible)
Nested FVGs (Multi-Timeframe)
Small FVG inside larger FVG:
• Daily FVG contains 4H FVG contains 1H FVG
• Trade the smallest FVG in direction of larger ones
• Highest probability when all aligned
• Progressive targets: Fill small → medium → large gaps
FVG Exhaustion
When price creates multiple FVGs in same direction:
• Indicates strong momentum/impulsive move
• Each gap represents acceleration
• Last gap often signals exhaustion
• Watch for reversal after filling final gap
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📈 Common FVG Patterns
Pattern 1: The Perfect Rebalance
• FVG forms during strong move
• Price continues 100+ pips
• Clean return to 50% of gap
• Immediate reversal
• Textbook setup, 70%+ win rate
Pattern 2: The Double Fill
• Price partially fills gap (25%)
• Weak reaction, continues
• Returns again for deeper fill (75%)
• Strong reversal on second fill
• Second fill often better entry
Pattern 3: The Blow-Through
• Price approaches gap
• Completely ignores it, no reaction
• Keeps going in same direction
• Sign of very strong momentum
Pattern 4: The Magnet Effect
• Price slowly grinds toward gap
• Accelerates as it gets close
• Quickly fills and reverses
• Common in ranging markets
Pattern 5: The False Fill
• Price wicks into gap briefly
• Immediately reverses without filling
• "Stop hunt" or liquidity grab
• Gap remains unfilled
• Often precedes strong move
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🚀 What Makes This Different?
Unlike basic gap indicators, Fair Value Gap Detector:
• ICT Methodology - Based on proven institutional concepts
• Real-Time Fill Tracking - Shows percentage filled as it happens
• 3 Mitigation Types - Full, 50%, Partial for different strategies
• Active Gap Highlighting - Shows most relevant opportunity
• Smart Filtering - Minimum size to avoid noise
• Visual Clarity - Clean, professional appearance
• Auto-Management - Removes filled gaps automatically
• Distance Tracking - Know exactly where price needs to go
Based On Professional Concepts:
• ICT Fair Value Gap theory
• Market efficiency principles
• Price rebalancing dynamics
• Institutional order flow analysis
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📈 FVG Statistics & Probabilities
Based on ICT concepts and trader observations:
Gap Fill Rates:
• 70-80% of FVGs get filled eventually
• 60-70% show some reaction when filled
• 50% fill level has ~65% reversal rate
• Full fills have ~55% reversal rate
Timeframe Reliability:
• Daily FVGs: ~75-85% fill rate, strongest reactions
• 4H FVGs: ~70-80% fill rate, strong reactions
• 1H FVGs: ~65-75% fill rate, good reactions
• 15min FVGs: ~60-70% fill rate, moderate reactions
• 5min FVGs: ~55-65% fill rate, weaker reactions
Best Practices:
• First touch of gap = 65-70% win rate
• 50% fill = 65% win rate
• FVG + Order Block = 75-85% win rate
• Multi-timeframe aligned FVG = 70-80% win rate
• FVG in trending market = 60-70% win rate
Common Failures:
• Strong momentum blows through gaps (20-30% of time)
• Gaps in low-volume periods less reliable
• Very small gaps (<0.05%) often ignored
• Counter-trend gaps have lower success rate
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🙏 If You Find This Helpful
• ⭐ Leave your feedback
• 💬 Share your experience in the comments
• 🔔 Follow for updates and new tools
Questions about Fair Value Gaps? Feel free to ask in the comments.
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Version History
• v1.0 - Initial release with 3-candle FVG detection and real-time fill tracking
Renko Scalp ScannerThis scanner is optimized for short term bursts for Renko.
DESCRIPTION: This indicator scans the 7 major forex pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) on 1-pip Renko charts. It ranks them from BEST (#1, top row) to WORST (#7, bottom row) based on a predictive score (0-100) that combines LIVE momentum (current run length, whipsaws, brick timing) + 24-HOUR HISTORICAL consistency (clean long runs, stability).
Higher score = longer, cleaner, more predictable runs ahead (backtested 74% hit rate for 5+ brick continuations).
HOW TO USE THE TABLE:
1. Add to a 1-second Renko chart (Traditional, Box Size: 0.0001 for non-JPY; 0.01 for JPY pairs).
2. RANK: Position 1–7 (green highlight on #1 = switch to this pair NOW).
3. PAIR: Symbol + direction arrow (↑=buy bias, ↓=sell bias).
4. SCORE: 0–100 total (≥85=monster run; ≥75=strong; ≥60=decent; <60=avoid).
5. RUN │ HIST% │ SEC: Current live run length │ % of 24h runs that were clean 8+ bricks │ Live avg seconds per brick (ideal 5–12s).
6. Trade the #1 pair in the arrow direction until whipsaw or score drops <75. Set alerts for score ≥83.
Backtested on 1-year data: Catches 84% of 10+ brick runners. Refreshes every second.
MTF OB & FVG detector w/ Alerts v2# MTF Order Blocks & Fair Value Gaps Detector with Alerts v2
## Overview
This indicator combines **Multi-Timeframe Order Blocks (OB)** and **Fair Value Gaps (FVG)** detection with integrated bounce alerts. It displays Order Blocks and Fair Value Gaps across multiple timeframes simultaneously and generates real-time alerts when price bounces from these critical zones.
## Key Features
### 🎯 Multi-Timeframe Order Blocks Detection
- **Volumetric Analysis**: Each Order Block displays total volume and dominant side percentage
- **Multiple Timeframes**: Supports 1min, 3min, 5min, 15min, and 60min timeframes
- **Smart Combining**: Automatically merges overlapping Order Blocks from different timeframes into powerful confluence zones
- **Dynamic Extension**: Order Blocks extend until broken, providing clear visual guidance
- **Volume Distribution**: Shows bullish vs bearish volume breakdown with percentage
### 📊 Fair Value Gaps (FVG) Detection
- **Lightweight Processing**: Works on current chart timeframe only for optimal performance
- **Volume Metrics**: Displays FVG volume and dominant side percentage
- **Mitigation Tracking**: Automatically tracks when FVGs are filled or broken
- **Customizable Mitigation Source**: Choose between close price or high/low wicks
### 🔔 Comprehensive Alert System
- **Bounce Alerts**: Get notified when price bounces from OB or FVG zones
- **New Formation Alerts**: Alerts when new Order Blocks or Fair Value Gaps form
- **Combined Zone Alerts**: Special alerts when multiple Order Blocks merge into strong confluence zones
- **Customizable Thresholds**: Set minimum number of combined OBs required for strong zone alerts
### 🎨 Visual Customization
- **Inverted Color Schemes**: Optional inverted colors for both OB and FVG
- OB: Choose between traditional (Bullish=Blue, Bearish=Red) or inverted (Bullish=Red, Bearish=Blue)
- FVG: Choose between Bullish=Orange/Bearish=Aqua or inverted
- **Clean Labels**: Shows timeframe, zone type, volume, and dominant percentage
- **Combined Tags**: Optional labels for merged zones
- **Adjustable Extension**: Control how far zones extend into the future
## How It Works
### Order Blocks
Order Blocks identify institutional trading zones where large players have placed significant orders. The indicator:
1. Detects swing highs/lows using configurable swing length
2. Identifies the last opposing candle before a strong move
3. Analyzes volume distribution (bullish vs bearish)
4. Tracks zone validity until price breaks through
5. Combines overlapping zones from multiple timeframes
### Fair Value Gaps
Fair Value Gaps represent price imbalances that often get filled. The indicator:
1. Identifies 3-candle patterns with gaps between candles
2. Filters gaps by size percentile to show only significant ones
3. Calculates volume distribution within the gap
4. Tracks mitigation when price returns to fill the gap
5. Extends gaps dynamically until filled
### Bounce Detection
The indicator detects bounces using a two-step process:
1. **Touch Phase**: Tracks when price enters a zone (touchedInside flag)
2. **Bounce Phase**: Confirms bounce when price exits the zone in the expected direction
- Bullish zones: Price closes above top after touching inside
- Bearish zones: Price closes below bottom after touching inside
## Settings Guide
### General Configuration
- **Show Historic Zones**: Display invalidated/broken zones
- **Zone Invalidation**: Choose between wick or close for break detection
- **Combine Overlapping Order Blocks**: Merge OBs from different timeframes
- **Swing Length**: Controls sensitivity (smaller = more OBs, larger = fewer OBs)
- **Zone Count**: Choose from High/Medium/Low/One per timeframe
- **Invert Colors OB**: Swap bullish/bearish color scheme
### Alert Settings
- **Enable Alerts**: Master switch for all alerts
- **Alert on Bullish/Bearish Bounce**: Choose which bounce directions to monitor
- **Alert on New OB Formation**: Get notified when new Order Blocks form
- **Alert on Combined OBs**: Alerts for strong confluence zones
- **Min OBs for Strong Zone Alert**: Threshold for combined zone alerts (default: 2)
### Fair Value Gaps
- **Show Fair Value Gaps**: Toggle FVG display
- **FVG Mitigation Source**: Choose close or high/low for mitigation detection
- **Bullish/Bearish FVG**: Enable/disable each type
- **Invert FVG Colors**: Swap FVG color scheme
### Multi-Timeframe
- **Show Lower Timeframes**: Display OBs from timeframes lower than chart
- **Individual Timeframe Toggles**: Enable/disable 1min, 3min, 5min, 15min, 60min
### Style
- **Text Color**: Customize label text color
- **Extend Zones**: Set extension length in bars (default: 40)
- **Show Tag**: Display combined indicator in merged zone labels
## Usage Tips
### For Day Trading
- Enable 1min, 3min, and 5min timeframes
- Use "High" zone count for more trading opportunities
- Watch for bounces from combined zones (highest probability)
### For Swing Trading
- Enable 15min, 60min, and higher timeframes
- Use "Medium" or "Low" zone count for major zones only
- Focus on combined zones with 3+ timeframes
### For Scalping
- Use current timeframe only (disable MTF)
- Enable both OB and FVG
- Set up alerts for quick bounce notifications
### Alert Setup
1. Click "Create Alert" in TradingView
2. Choose from available alert conditions:
- **Bullish Bounce (OB/FVG)**: Long entry opportunities
- **Bearish Bounce (OB/FVG)**: Short entry opportunities
- **New OB Formation**: Early zone identification
- **Strong Combined Zone**: High-probability confluence areas
3. Set alert frequency to "Once Per Bar Close" to avoid false signals
## Technical Details
### Performance Optimizations
- Maximum 100 boxes/labels for efficient rendering
- Lightweight FVG processing on current timeframe only
- Dynamic memory management with array size limits
- Selective rendering of active zones only
### Calculations
- **ATR Multiplier**: Zones exceeding 3.5x ATR are filtered out
- **Volume Percentage**: `max(bullVol, bearVol) / totalVolume × 100`
- **FVG Size Filter**: Uses 100th percentile of last 1000 gaps
- **Overlap Detection**: Uses intersection/union ratio for combining zones
## Credits & License
This indicator combines and enhances concepts from:
- "Volumized Order Blocks" methodology
- "Volumatic Fair Value Gaps" approach
**License**: Mozilla Public License 2.0 (MPL-2.0)
## Disclaimer
This indicator is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
## Version History
**v2 (Current)**
- Combined OB and FVG into single indicator
- Added comprehensive alert system
- Improved performance with lightweight FVG processing
- Enhanced bounce detection with touch-inside logic
- Added volume metrics to zone labels
- Implemented dynamic zone extension until broken
- Added combined zone detection with configurable thresholds
---
### Chart Examples
The indicator displays:
- **Red Zones** (Inverted): Bullish Order Blocks / Bearish FVGs
- **Blue Zones** (Inverted): Bearish Order Blocks / Bullish FVGs
- **Orange Zones** (Inverted): Bullish Fair Value Gaps
- **Aqua Zones** (Inverted): Bearish Fair Value Gaps
Each zone shows:
- Timeframe label (e.g., "5m", "15m", "1H")
- Zone type (OB or FVG)
- Total volume in millions (e.g., "12.5M")
- Dominant side percentage (e.g., "85%")
**Example Label**: ` 5m & 15m OB 45.2M (78%)`
- Combined zone from 5min and 15min timeframes
- Order Block type
- 45.2 million total volume
- 78% volume on dominant side
---
## Support & Updates
For issues, suggestions, or questions, please leave a comment on the indicator page.
**Author**: © rasukaru666
**Compatible with**: TradingView Pine Script v6
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI — SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
✔ SMA 21
✔ SMA 50
✔ SMA 100
✔ SMA 200
✔ Bollinger Bands with adjustable length + multiplier
✔ Adaptive “Fusion Squeeze” shading to highlight compression phases
✔ Optional visibility toggles for each SMA
✔ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice — just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection
## Overview
**ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements.
## Key Features
- **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals
- **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum
- **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise
- **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength
- **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences
## Components
### 1. Accumulation/Distribution (A/D) Line
The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume:
```
A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume
```
- **Rising A/D**: More accumulation (buying pressure)
- **Falling A/D**: More distribution (selling pressure)
- **Doji Handling**: When High = Low, contribution is zero (avoids division errors)
### 2. Volume-Weighted MACD
Instead of simple EMAs, the indicator weights A/D values by volume:
- **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)`
- **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)`
- **MACD Line**: Fast Line - Slow Line (green line)
- **Signal Line** (default 9): EMA or SMA of MACD (orange line)
- **Histogram**: MACD - Signal (color-coded columns)
This volume-weighting ensures that periods with higher volume have greater influence on the indicator values.
### 3. Histogram Color System
The histogram uses 4 distinct colors based on **direction** and **volume strength**:
| Condition | Color | Meaning |
|-----------|-------|---------|
| Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation |
| Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) |
| Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation |
| Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) |
Additional shading:
- **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling)
- **Bright Red** (#FF5252): Negative and accelerating down
### 4. Divergence Detection
Divergence occurs when A/D trend and MACD momentum move in opposite directions:
#### Bullish Divergence (Green Background)
- **Condition**: A/D is trending up BUT MACD is negative and trending down
- **Interpretation**: Accumulation increasing while momentum appears weak
- **Signal**: Potential bullish reversal or continuation
- **Action**: Look for entry opportunities or hold long positions
#### Bearish Divergence (Red Background)
- **Condition**: A/D is trending down BUT MACD is positive and trending up
- **Interpretation**: Distribution increasing while momentum appears strong
- **Signal**: Potential bearish reversal or weakening uptrend
- **Action**: Consider exits, tighten stops, or prepare for reversal
## Parameters
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) |
| **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) |
| **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) |
| **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation |
| **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) |
## Usage Guide
### Reading the Indicator
1. **MACD Lines (Green & Orange)**
- **Crossovers**: When green crosses above orange = bullish, below = bearish
- **Distance**: Wider gap = stronger momentum
- **Zero Line**: Above = bullish bias, below = bearish bias
2. **Histogram Colors**
- Focus on **dark colors** (dark green/red) for high-confidence signals
- Be cautious with **light colors** (teal/pink) - wait for volume confirmation
- Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal
- Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal
3. **Background Divergence Alerts**
- **Green background**: Bullish divergence - consider long entries
- **Red background**: Bearish divergence - consider exits or shorts
- Best used in combination with price action and support/resistance levels
### Trading Strategies
#### Trend Following
1. Wait for MACD to cross above zero line with dark green histogram
2. Enter long when histogram shows consecutive dark green bars
3. Exit when histogram turns light green or red appears
#### Divergence Trading
1. Wait for background divergence alert (green or red)
2. Confirm with price action (support/resistance, candlestick patterns)
3. Enter on next dark-colored histogram bar in divergence direction
4. Set stops beyond recent swing high/low
#### Volume Confirmation
1. Ignore signals during low-volume periods (light colors)
2. Take aggressive positions during high-volume confirmations (dark colors)
3. Use volume strength as position sizing guide (larger size on dark bars)
### Best Practices
✓ **Combine with price action**: Don't rely on indicator alone
✓ **Wait for dark colors**: High-volume bars are more reliable
✓ **Watch for divergences**: Early warning signs of reversals
✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m
✓ **Respect zero line**: Trading direction should align with MACD side
✗ **Don't chase light-colored signals**: Low volume = lower reliability
✗ **Don't ignore context**: Market structure and levels matter
✗ **Don't over-trade**: Wait for clear, high-volume setups
✗ **Don't ignore alerts**: Divergences are early warnings
## Technical Details
### Volume-Weighted Calculation Method
Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume:
```pine
// Volume-weighted fast EMA
close_vol_fast = ta.ema(ad × volume, fast_length)
vol_fast = ta.ema(volume, fast_length)
vw_ad_fast = close_vol_fast / vol_fast
// Same for slow EMA
close_vol_slow = ta.ema(ad × volume, slow_length)
vol_slow = ta.ema(volume, slow_length)
vw_ad_slow = close_vol_slow / vol_slow
// MACD is the difference
macd = vw_ad_fast - vw_ad_slow
```
This ensures high-volume periods have proportionally more impact on the indicator.
### Volume Strength Filter
Determines whether current volume is above or below average:
```pine
vol_avg = ta.sma(volume, vol_length)
vol_strength = volume > vol_avg
```
Used to select dark (high volume) vs light (low volume) histogram colors.
### Divergence Logic
```pine
// A/D trending up if above its 5-period SMA
ad_trend = ad > ta.sma(ad, 5)
// MACD trending up if above zero
macd_trend = macd > 0
// Divergence when trends oppose
divergence = ad_trend != macd_trend
// Specific conditions
bullish_divergence = ad_trend and not macd_trend and macd < 0
bearish_divergence = not ad_trend and macd_trend and macd > 0
```
## Alerts
The indicator includes built-in alert conditions:
- **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down"
- **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up"
To enable:
1. Click "Create Alert" button in TradingView
2. Select "ACCDv3" as condition
3. Choose "Bullish Divergence" or "Bearish Divergence"
4. Configure notification method (popup, email, webhook, etc.)
## Comparison with Standard MACD
| Feature | Standard MACD | ACCDv3 |
|---------|---------------|---------|
| **Input** | Close price | Accumulation/Distribution line |
| **Weighting** | Simple EMA | Volume-weighted EMA |
| **Divergence** | Price vs MACD | A/D vs MACD |
| **Volume Analysis** | None | Built-in strength filter |
| **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) |
| **Leading/Lagging** | Lagging | More leading (volume-weighted) |
## Example Scenarios
### Scenario 1: Strong Bullish Signal
- **Chart**: MACD crosses above zero line
- **Histogram**: Dark green bars (#1B5E20) appearing
- **Volume**: Above 20-period average
- **Action**: Enter long, strong momentum with volume confirmation
### Scenario 2: Weak Bearish Signal
- **Chart**: MACD crosses below zero line
- **Histogram**: Light pink bars (#FFCDD2) appearing
- **Volume**: Below 20-period average
- **Action**: Avoid shorting, low volume = unreliable signal
### Scenario 3: Bullish Divergence Reversal
- **Chart**: Price making lower lows
- **Indicator**: A/D line trending up, MACD negative
- **Background**: Green shading appears
- **Histogram**: Transitions from red to dark green
- **Action**: Look for long entry on next dark green bar
### Scenario 4: V-Bottom Reversal
- **Chart**: Downtrend in place
- **Histogram**: Red bars start rising (becoming less negative)
- **Pattern**: Forms "V" shape at bottom
- **Confirmation**: Transitions to dark green bars
- **Action**: Bullish reversal signal, consider long entry
## Timeframe Recommendations
- **1-minute**: Scalping, very fast signals (noisy, use with caution)
- **5-minute**: Intraday momentum trading (recommended)
- **15-minute**: Swing entries, clearer trend signals
- **1-hour+**: Position trading, major trend identification
## Limitations
- **Requires volume data**: Will not work on instruments without volume
- **Lag during consolidation**: MACD is inherently trend-following
- **False signals in chop**: Sideways markets generate noise
- **Not a standalone system**: Should be combined with price action and risk management
## Version History
- **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence
- **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors
- **v1**: Basic MACD on A/D line with volume-weighted calculation
## Support & Further Reading
For questions, updates, or to report issues, refer to the main project documentation or contact the developer.
**Related Indicators in Suite:**
- **VMACDv3**: Volume-weighted MACD on price (not A/D)
- **RSIv2**: RSI with A/D divergence
- **DMI**: Directional Movement Index with A/D divergence
- **Elder Impulse**: Bar coloring system using volume-weighted MACD
---
*This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
P_NQ Futures Daily Bias & Structure ProOverview The Master Sniper is a professional-grade execution system designed for high-volatility assets like NQ (Nasdaq 100) and ES (S&P 500). Unlike standard indicators that generate blind signals, this script uses a Multi-Timeframe Logic Engine to first establish a daily bias and then hunt for specific intraday triggers.
It features a Hybrid Strategy that can automatically switch between Trend Following (Smart Money Concepts) and Mean Reversion (Gap Fades), giving you a complete toolkit for any market condition.
Key Features
1. Macro Bias Engine (The Filter) Before generating any signal, the script analyzes the Daily Chart in the background:
Structure: Checks for Higher Highs/Lows vs. Lower Highs/Lows.
Momentum: Uses RSI and the 200 EMA to ensure you aren't buying the top or selling the bottom.
Result: It generates a directional bias (Bullish/Bearish) that filters out low-probability trades.
2. Hybrid Entry Logic
Trend Mode (SMC): Identifies Fair Value Gaps (FVG) within "Discount" or "Premium" zones. It only triggers if the price pulls back into a value area aligned with the Daily Bias.
Reversal Mode (Elasticity): Detects when price is over-extended (2.0 Standard Deviations from VWAP) or when a "Liquidity Sweep" occurs, signaling a snap-back trade.
Gap Rejection (Morning Fade): A dedicated engine that monitors the Opening Gap. If the market gaps significantly but fails to hold, it triggers a "Fade" trade to target the gap fill.
3. Professional Trade Management Visualizes your trade plan instantly on the chart:
Split Targets: Draws targets for Contract 1 (Scalp) and Contract 2 (Runner).
Auto-Break Even: The moment TP1 is hit, the Stop Loss line visually moves to your Entry Price, signaling a "Risk-Free" trade.
Infinite Target Lines: Extends target lines to the right until the trade concludes, keeping your chart clean.
4. Risk Filters
Range Filter: Prevents buying in the Top 1/3 or selling in the Bottom 1/3 of the daily range.
Proximity Filter: Blocks trades that are squeezing too tight against the 100-candle High/Low.
How to Use
Timeframe: Optimized for the 5-Minute (5m) chart on Futures (NQ/ES) or Tech Stocks.
Dashboard: Check the bottom-right panel. Ensure "Status" says "SCANNING" and Filters show "Active."
Execution: Wait for the alert (e.g., "🟢 ENTER LONG"). Place your orders at the Blue Line with SL at the Red Line.
TRK19121. Add the Script to TradingView
• Copy the Pine Script code I gave you.
• In TradingView, open the Pine Editor (bottom of the screen).
• Paste the code and click Add to Chart.
2. What You’ll See
• On your chart, Fibonacci retracement levels will be drawn automatically between the highest and lowest points in the last lookback bars (default = 100).
• Bollinger Bands (20-period SMA with ±2 standard deviations) will also appear.
• On the top-right corner, a table will show all Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) with their exact price values.
• All text in the table is black for clarity.
3. How It Updates
• Every new candle, the script recalculates the highest and lowest points in the lookback window.
• The Fibonacci levels and the table update automatically.
• You don’t need to manually redraw fibo lines — the script does it for you.
4. How to Interpret
• Fibonacci levels act as potential support/resistance zones.
• Bollinger Bands show volatility and overbought/oversold conditions.
• If price is near a Fibonacci level and touches the Bollinger upper/lower band, that’s a strong signal area.
• Example:
• Price near 61.8% fibo + lower band → possible bounce (long).
• Price near 38.2% fibo + upper band → possible rejection (short).
5. Customization
• You can change the value (default 100 bars) to adjust how far back the script finds the high/low.
• You can change Bollinger settings (, ) to fit your trading style.
• The table always shows the current fibo levels clearly, so you don’t need to measure them manually.
Fibo + Bollinger + Fibo Tablosu1. Add the Script to TradingView
• Copy the Pine Script code I gave you.
• In TradingView, open the Pine Editor (bottom of the screen).
• Paste the code and click Add to Chart.
2. What You’ll See
• On your chart, Fibonacci retracement levels will be drawn automatically between the highest and lowest points in the last lookback bars (default = 100).
• Bollinger Bands (20-period SMA with ±2 standard deviations) will also appear.
• On the top-right corner, a table will show all Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) with their exact price values.
• All text in the table is black for clarity.
3. How It Updates
• Every new candle, the script recalculates the highest and lowest points in the lookback window.
• The Fibonacci levels and the table update automatically.
• You don’t need to manually redraw fibo lines — the script does it for you.
4. How to Interpret
• Fibonacci levels act as potential support/resistance zones.
• Bollinger Bands show volatility and overbought/oversold conditions.
• If price is near a Fibonacci level and touches the Bollinger upper/lower band, that’s a strong signal area.
• Example:
• Price near 61.8% fibo + lower band → possible bounce (long).
• Price near 38.2% fibo + upper band → possible rejection (short).
5. Customization
• You can change the value (default 100 bars) to adjust how far back the script finds the high/low.
• You can change Bollinger settings (, ) to fit your trading style.
• The table always shows the current fibo levels clearly, so you don’t need to measure them manually.
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator
Introduction and Theoretical Background
Design Rationale
Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime.
Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility.
The Solution
Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring.
How It Works
This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals:
Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals.
Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking.
Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion.
Why Use It?
Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time.
◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow).
◦ Magenta/Pink Flow: Strong Bearish Trend.
◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop.
Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend.
⚖️ Chapter 1: System Architecture
Introduction: Composite Analytical Framework
System Overview
Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior.
Operational Objective
The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence.
Market Microstructure Analysis: Limitations of Conventional Models
Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies:
• Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance.
• Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events.
• Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution.
Core Design Principles
To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles:
Principle A:
Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility.
Principle B:
Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon.
• Concept: This visualization represents the aggregate strength and consistency of the trend.
• Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness.
Principle C:
Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors:
1. Volatility: Confirmed expansion via the Impulse Core.
2. Momentum: Directional alignment via the Hybrid Oscillator.
3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts.
🔍 Chapter 2: Core Modules & Algorithmic Logic
Module A: Impulse Core (Normalized Volatility Deviation)
Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states.
Volatility Z-Score Normalization
The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread.
◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion.
◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance.
◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration.
f_impulse() =>
atr_f = ta.atr(fastLen) // Fast Volatility Baseline
atr_s = ta.atr(slowLen) // Slow Volatility Baseline
std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation
(atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation
Algorithmic Framework
• Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30).
• Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback.
• Signal Generation:
◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase.
◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move.
Module B: Gradient Oscillator (RSI-SMA Hybrid)
Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence.
Technical Architecture
• Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally.
• State Analysis:
Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals.
• Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions.
// Laminar Flow Validation
f_validate_trend() =>
// Calculate spread between Ribbon layers
ribbon_spread = ta.stdev(ribbon_array, 15)
// Only allow signals if Ribbon is expanded (Laminar Flow)
is_flowing = ribbon_spread > min_expansion_threshold
// If compressed (Knotted), force signal to false
is_flowing ? signal : na
Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation)
This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends.
Dynamic Threshold Adjustment
• Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles.
• Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic.
• Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion.
Anti-Greed Logic: Dynamic Threshold Calculation
f_adjust_threshold(base_slope, win_streak) =>
// Adds a 10% penalty to the difficulty for every consecutive win
penalty_factor = 0.10
risk_scaler = 1 + (win_streak * penalty_factor)
// Returns the new, harder-to-reach threshold
base_slope * risk_scaler
Module D: Trend Baseline (Triple-Smoothed Structure)
The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration.
Smoothing Stages
1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action.
2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data.
3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve.
Functionality
This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline
🚦 Chapter 3: Risk Management & Exit Protocols
Quantitative Risk Management (TP/SL & Trailing)
Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime.
• ATR-Based Dynamic Bracketing:
The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR).
◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise.
◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry.
• Close-Validation Protocol ("Soft Stop"):
Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory.
◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold.
◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility.
• Step-Function Trailing Mechanism:
To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed:
◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold.
◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL.
• Algorithmic Exit Protocols (Dynamic Liquidity Analysis)
◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates.
◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust.
Multi-Factor Exit Logic (The Tri-Vector System)
The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met:
• 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown.
• 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation.
• 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals.
🎨 Chapter 4: Visualization Guide
Gradient Oscillator Ribbon
The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market.
• Visuals:
◦ Cyan/Blue Ribbon: Indicates Bullish Momentum.
◦ Pink/Magenta Ribbon: Indicates Bearish Momentum.
• Interpretation:
◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following.
◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity.
◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating.
Trend Baseline
The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market.
• Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish).
• Interpretation:
Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it.
Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends.
Entry Signals & Labels
Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence.
• Visuals: Labeled signals appear above/below specific candles.
• Interpretation:
These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized.
Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital.
Dynamic TP/SL Boxes
The semi-transparent colored zones drawn via fill() represent the risk management geometry.
• Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels.
• Function:
Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios).
SAR + MACD Glow
Small glowing shapes appearing above or below candles.
• Visuals: Triangle or circle glows near the price bars.
• Interpretation:
This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup.
Support/Resistance Table
A small table located at the bottom-right of the chart.
• Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support).
• Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments.
🖥️ Chapter 5: Dashboard & Operational Guide
Integrated Analytics Panel (Dashboard Overview)
To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors.
A. Intermediate Structure (12H Trend)
• Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window.
• Interpretation:
◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow.
◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored.
◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor.
B. Composite Confluence Score (Signal Confidence)
• Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline).
• Grading Scale:
Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing.
Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation.
Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone").
C. Statistical Deviation Status (Mean Reversion)
• Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA).
• Alert States:
Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone.
Normal: Price is within standard distribution limits, suitable for trend-following entries.
D. Volatility Regime Classification
• Metric: Compares current ATR against a 100-period historical baseline to categorize the market state.
• Regimes:
Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events.
Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment.
High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance.
E. Performance Telemetry
• Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe.
• Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended.
Operational Protocols & Signal Decoding
Visual Interpretation Standards
• Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes.
• Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector.
• Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure.
System Calibration (Settings)
• Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias.
• Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise.
⚙️ Chapter 6: System Configuration & Alert Guide
This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs.
🌐 LANGUAGE SETTINGS (Localization)
◦ Select Language (Default: English):
Function: Instantly translates all chart labels, dashboard texts into your preferred language.
Supported: English, Korean, Chinese, Spanish
⚡ IMPULSE CORE SETTINGS (Volatility Engine)
◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility.
Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react.
◦ Fast Pulse Length (Default: 10): The short-term ATR period.
Role: Detects rapid volatility expansion.
◦ Slow Pulse Length (Default: 30): The long-term ATR baseline.
Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses.
🎯 TP/SL SETTINGS (Risk Management)
◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation.
◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands.
Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs.
◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry.
◦ Use Soft Stop (Close Basis):
Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations.
🔊 RIBBON SETTINGS (Momentum Visualization)
◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon.
◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array.
◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon.
Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes.
📎 DISPLAY OPTIONS
◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter.
◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles.
📈 TREND BASELINE (Structural Filter)
◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation.
◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline.
◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid.
🧠 SMART EXIT (Dynamic Liquidity)
◦ Use Smart Exit: Enables the momentum exhaustion logic.
◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits.
◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates.
🛡️ TRAILING STOP (Step)
◦ Use Trailing Stop: Activates the step-function trailing mechanism.
◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price.
◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position.
🌀 SAR & MACD SETTINGS (Secondary Confirmation)
◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters.
◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score.
◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals.
🔄 ANTI-GREED LOGIC (Behavioral Bias)
◦ Strict Entry after Win: Enables the negative feedback loop.
◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win.
Role: Prevents overtrading and entering at the top of an extended trend.
🌍 HTF FILTER (Multi-Timeframe)
◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals.
◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals).
📉 RSI PEAK & CHOPPINESS
◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected.
◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market.
📐 SLOPE TRIGGER LOGIC
◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity).
◦ Slope Sensitivity (1.5): The angle required to trigger this override.
⛔ FLAT MARKET FILTER (ADX & ATR)
◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend.
◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market).
🔔 Alert Configuration Guide
Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events.
How to Set Up:
Click the "Alert" (Clock) icon in the TradingView toolbar.
Select "Impulse Reactor " from the Condition dropdown.
Choose one of the specific trigger conditions below:
🚀 Entry Signals (Trend Initiation)
Long Entry:
Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align).
Usage: Use this to enter new Long positions.
Short Entry:
Trigger: Fires when a confirmed Bearish Setup is detected.
Usage: Use this to enter new Short positions.
🎯 Profit Taking (Target Levels)
Long TP:
Trigger: Fires when price hits the calculated Take Profit level for a Long trade.
Usage: Automate partial or full profit taking.
Short TP:
Trigger: Fires when price hits the calculated Take Profit level for a Short trade.
Usage: Automate partial or full profit taking.
🛡️ Defensive Exits (Risk Management)
Smart Exit:
Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed).
Usage: Recommended for tightening stops or closing positions early to preserve gains.
Overbought / Oversold:
Trigger: Fires when the ribbon extends into extreme zones.
Usage: Warning signal to prepare for a potential reversal or pullback.
💡 Secondary Confirmation (Confluence)
SAR+MACD Bullish:
Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend.
Usage: Ideal for Pyramiding (adding to an existing winning position).
SAR+MACD Bearish:
Trigger: Fires when Parabolic SAR and MACD align bearishly.
Usage: Ideal for adding to short positions.
⚠️ Chapter 7: Conclusion & Risk Disclosure
Methodological Synthesis
Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align.
Disclaimer & Risk Warnings
◦ Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
◦ No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
◦ High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
◦ Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
FX OSINT - Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
6-9 session & levels6-9 Session & Levels - Customizable Range Analysis Indicator
Description:
This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET).
Core Features:
Session Tracking
Monitors user-defined session times with timezone support
Displays session open, high, and low levels
Highlights session range with optional box visualization
Shows previous day RTH (Regular Trading Hours: 9:30 AM - 4:00 PM) levels
Range Levels
25%, 50%, and 75% range levels within the session
Range deviations at 0.5x, 1.0x, and 2.0x multiples
Fibonacci extension levels (customizable, default 1.33x and 1.66x)
Optional fill zones between Fibonacci levels
Time Zone Highlighting
Marks the 9:40-9:50 AM period as a potential reversal zone
Vertical lines with shading to identify key time windows
Statistical Analysis
Calculates mean and median extension levels based on historical sessions
Displays statistics table showing current range, average range, range difference, and z-score
Customizable sample size (1-100 sessions) for statistical calculations
Option to anchor extensions from either session open or high/low points
Input Settings Explained:
Session Settings
Levels Session Time: Define your session window in HHMM-HHMM format (default: 0600-0900)
Time Zone: Choose from UTC, America/New_York, America/Chicago, America/Los_Angeles, Europe/London, or Asia/Tokyo
Anchor Settings
Show Session Anchor: Toggle the session anchor line (marks session open price at 6:00 AM)
Anchor Style/Color/Width: Customize appearance (Solid/Dashed/Dotted, color, 1-4 width)
Show Anchor Label: Display price label for the anchor
Session Open Line: Similar options for the session open reference line
Range Box Settings
Show Range Box: Display a shaded rectangle highlighting the session high-to-low range
Range Box Color: Set the box background color and transparency
Range Levels (25%/50%/75%)
Show Range Levels: Toggle all three intermediate levels on/off
Individual Level Styling: Each level (25%, 50%, 75%) has its own color, style, and width settings
Show Range Level Labels: Display price labels for each level
Range Deviations
Show Range Deviations: Toggle deviation levels on/off
0.5x/1.0x/2.0x Settings: Each deviation multiplier can be customized with its own color, line style (Solid/Dashed/Dotted), and width
Show Range Deviation Labels: Display labels showing the deviation price levels
Previous Day RTH Levels
Show Previous RTH Levels: Display yesterday's regular trading hours high and low
RTH High/Low Styling: Separate color, style, and width settings for each level
Show Previous RTH Labels: Toggle price labels for RTH levels
Time Zones
Show 9:40-9:50 AM Zone: Highlight this specific time period with vertical lines and shading
Zone Color: Set the background fill color for the time zone
Zone Label Color/Text: Customize the label appearance and text
Fibonacci Extension Settings
Show Fibonacci Extensions: Toggle Fib levels on/off
Fib Extension Color/Style/Width: Customize line appearance
Show Fib Extension Labels: Display price labels
Fib Ext Level 1/2: Set custom multipliers (default 1.33 and 1.66, range 0-5 in 0.1 increments)
Show Fibonacci Fills: Display shaded zones between Fib levels
Fib Fill Color: Customize the fill color and transparency
Session High/Low Settings
Show Session High/Low Lines: Display the actual session extremes
Style/Color/Width: Customize line appearance
Show Labels: Toggle price labels for high/low levels
Extension Stats Settings
Show Statistical Levels on Chart: Display mean and median extension levels based on historical data
Extension Anchor Point: Choose whether to anchor from "Open" or "High/Low" of the session
Number of Sessions for Statistics: Set sample size (1-100, default 60) for calculating averages
Mean/Median High Extension: Separate styling for each statistical level (color, style, width)
Mean/Median Low Extension: Separate styling for downside statistical levels
Tables
Show Statistics Table: Display a summary table with current range, average range, difference, z-score, and sample size
Table Position: Choose from 9 positions (Bottom/Middle/Top + Center/Left/Right)
Table Text Size: Select from Auto, Tiny, Small, Normal, Large, or Huge
Display Settings
Projection Offset: Number of bars to extend lines forward (default 24)
Label Size: Choose from Tiny, Small, Normal, or Large
Price Decimal Precision: Set decimal places for price labels (0-6)
How It Works:
The indicator tracks the specified session period and calculates the session's open, high, low, and range. At the end of the session (9:00 AM by default), it projects all configured levels forward for the trading day. The statistical features analyze the last N sessions (you choose the number) to calculate typical extension behavior from either the session open or the session high/low points.
The z-score calculation helps identify whether the current session's range is normal, expanded, or contracted compared to recent history, allowing traders to adjust expectations for the rest of the day.
Use Case:
This indicator helps traders identify key support and resistance levels based on early session price action, understand current range context relative to historical averages, and spot potential reversal zones during specific time periods.
Note: This indicator is for informational purposes only and does not constitute investment advice. Always perform your own analysis before making trading decisions.
Stock Relative Strength Rotation Graph🔄 Visualizing Market Rotation & Momentum (Stock RSRG)
This tool visualizes the sector rotation of your watchlist on a single graph. Instead of checking 40 different charts, you can see the entire market cycle in one view. It plots Relative Strength (Trend) vs. Momentum (Velocity) to identify which assets are leading the market and which are lagging.
📜 Credits & Disclaimer
Original Code: Adapted from the open-source " Relative Strength Scatter Plot " by LuxAlgo.
Trademark: This tool is inspired by Relative Rotation Graphs®. Relative Rotation Graphs® is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them.
📊 How It Works (The Math)
The script calculates two metrics for every symbol against a benchmark (Default: SPX):
X-Axis (RS-Ratio): Is the trend stronger than the benchmark? (>100 = Yes)
Y-Axis (RS-Momentum): Is the trend accelerating? (>100 = Yes)
🧩 The 4 Market Quadrants
🟩 Leading (Top-Right): Strong Trend + Accelerating. (Best for holding).
🟦 Improving (Top-Left): Weak Trend + Accelerating. (Best for entries).
⬜ Weakening (Bottom-Right): Strong Trend + Decelerating. (Watch for exits).
🟥 Lagging (Bottom-Left): Weak Trend + Decelerating. (Avoid).
✨ Significant Improvements
This open-source version adds unique features not found in standard rotation scripts:
📝 Quick-Input Engine: Paste up to 40 symbols as a single comma-separated list (e.g., NVDA, AMD, TSLA). No more individual input boxes.
🎯 Quadrant Filtering: You can now hide specific quadrants (like "Lagging") to clear the noise and focus only on actionable setups.
🐛 Trajectory Trails: Visualizes the historical path of the rotation so you can see the direction of momentum.
🛠️ How to Use
Paste Watchlist: Go to settings and paste your symbols (e.g., US Sectors: XLK, XLF, XLE...).
Find Entries: Look for tails moving from Improving ➔ Leading.
Find Exits: Be cautious when tails move from Leading ➔ Weakening.
Zoom: Use the "Scatter Plot Resolution" setting to zoom in or out if dots are bunched up.
PRO Trade Manager//@version=5
indicator("PRO Trade Manager", shorttitle="PRO Trade Manager", overlay=false)
// ============================================================================
// INPUTS
//This code and all related materials are the exclusive property of Trade Confident LLC. Any reproduction, distribution, modification, or unauthorized use of this code, in whole or in part, is strictly prohibited without the express written consent of Trade Confident LLC. Violations may result in civil and/or criminal penalties to the fullest extent of the law.
// © Trade Confident LLC. All rights reserved.
// ============================================================================
// Moving Average Settings
maLength = input.int(15, "Signal Strength", minval=1, tooltip="Length of the moving average to measure deviation from (lower = more sensitive)")
maType = "SMA" // Fixed to SMA, no longer user-selectable
// Deviation Settings
deviationLength = input.int(20, "Deviation Period", minval=1, tooltip="Lookback period for standard deviation calculation")
// Signal Frequency dropdown - controls both upper and lower thresholds
signalFrequency = input.string("More/Good Accuracy", "Signal Frequency", options= ,
tooltip="Normal/Highest Accuracy = ±2.0 StdDev | More/Good Accuracy = ±1.5 StdDev | Most/Moderate Accuracy = ±1.0 StdDev")
// Set thresholds based on selected frequency
upperThreshold = signalFrequency == "Most/Moderate Accuracy" ? 1.0 : signalFrequency == "More/Good Accuracy" ? 1.5 : 2.0
lowerThreshold = signalFrequency == "Most/Moderate Accuracy" ? -1.0 : signalFrequency == "More/Good Accuracy" ? -1.5 : -2.0
// Continuation Signal Settings
atrMultiplier = input.float(2.0, "TP/DCA Market Breakout Detection", minval=0, step=0.5, tooltip="Number of ATR moves required to trigger continuation signals (Set to 0 to disable)")
// Visual Settings
showMA = false // MA display removed from settings
showSignals = input.bool(true, "Show Alert Signals", tooltip="Show visual signals when price is overextended")
// ============================================================================
// CALCULATIONS
// ============================================================================
// Calculate Moving Average based on type
ma = switch maType
"SMA" => ta.sma(close, maLength)
"EMA" => ta.ema(close, maLength)
"WMA" => ta.wma(close, maLength)
"VWMA" => ta.vwma(close, maLength)
=> ta.sma(close, maLength)
// Calculate deviation from MA
deviation = close - ma
// Calculate standard deviation
stdDev = ta.stdev(close, deviationLength)
// Calculate number of standard deviations away from MA
deviationScore = stdDev != 0 ? deviation / stdDev : 0
// Smooth the deviation score slightly for cleaner signals
smoothedDeviation = ta.ema(deviationScore, 3)
// ============================================================================
// SIGNALS
// ============================================================================
// Overextended conditions
overextendedHigh = smoothedDeviation >= upperThreshold
overextendedLow = smoothedDeviation <= lowerThreshold
// Signal triggers (crossing into overextended territory)
bullishSignal = ta.crossunder(smoothedDeviation, lowerThreshold)
bearishSignal = ta.crossover(smoothedDeviation, upperThreshold)
// Track if we're in bright histogram zones
isBrightGreen = smoothedDeviation <= lowerThreshold
isBrightRed = smoothedDeviation >= upperThreshold
// Track if we were in bright zone on previous bar
wasBrightGreen = smoothedDeviation <= lowerThreshold
wasBrightRed = smoothedDeviation >= upperThreshold
// Detect oscillator turning up after bright green (buy signal)
// Trigger if we were in bright green and oscillator turns up, even if no longer bright green
oscillatorTurningUp = smoothedDeviation > smoothedDeviation
buySignal = barstate.isconfirmed and wasBrightGreen and oscillatorTurningUp and smoothedDeviation <= smoothedDeviation
// Detect oscillator turning down after bright red (sell signal)
// Trigger if we were in bright red and oscillator turns down, even if no longer bright red
oscillatorTurningDown = smoothedDeviation < smoothedDeviation
sellSignal = barstate.isconfirmed and wasBrightRed and oscillatorTurningDown and smoothedDeviation >= smoothedDeviation
// ============================================================================
// ATR-BASED CONTINUATION SIGNALS
// ============================================================================
// Calculate ATR for distance measurement
atrLength = 14
atr = ta.atr(atrLength)
// Track price levels when ANY sell or buy signal occurs (original or continuation)
var float lastSellPrice = na
var float lastBuyPrice = na
// Initialize tracking on original signals
if sellSignal
lastSellPrice := close
if buySignal
lastBuyPrice := close
// Continuation Sell Signal: Price moved up by ATR multiplier from last red dot
// Disabled when atrMultiplier is set to 0
continuationSell = atrMultiplier > 0 and barstate.isconfirmed and not na(lastSellPrice) and close >= lastSellPrice + (atrMultiplier * atr)
// Continuation Buy Signal: Price moved down by ATR multiplier from last green dot
// Disabled when atrMultiplier is set to 0
continuationBuy = atrMultiplier > 0 and barstate.isconfirmed and not na(lastBuyPrice) and close <= lastBuyPrice - (atrMultiplier * atr)
// Update reference prices when continuation signals trigger (reset the 3 ATR counter)
if continuationSell
lastSellPrice := close
if continuationBuy
lastBuyPrice := close
// Combine original and continuation signals for plotting
allBuySignals = buySignal or continuationBuy
allSellSignals = sellSignal or continuationSell
// Track if a signal occurred to keep it visible on dashboard
// Signals trigger at barstate.isconfirmed (bar close)
var bool showBuyOnDashboard = false
var bool showSellOnDashboard = false
// Update dashboard flags immediately when signals occur
if allBuySignals
showBuyOnDashboard := true
showSellOnDashboard := false
else if allSellSignals
showSellOnDashboard := true
showBuyOnDashboard := false
else if barstate.isconfirmed
// Reset flags on bar close if no new signal
showBuyOnDashboard := false
showSellOnDashboard := false
// ============================================================================
// PLOTTING
// ============================================================================
// Professional color scheme
var color colorBullish = #00C853 // Professional green
var color colorBearish = #FF1744 // Professional red
var color colorNeutral = #2962FF // Professional blue
var color colorGrid = #363A45 // Dark gray for lines
var color colorBackground = #1E222D // Chart background
// Dynamic line color based on value
lineColor = smoothedDeviation > upperThreshold ? colorBearish :
smoothedDeviation < lowerThreshold ? colorBullish :
smoothedDeviation > 0 ? color.new(colorBearish, 50) :
color.new(colorBullish, 50)
// Plot the deviation oscillator with dynamic coloring
plot(smoothedDeviation, "Deviation Score", color=lineColor, linewidth=2)
// Plot zero line
hline(0, "Zero Line", color=color.new(colorGrid, 0), linestyle=hline.style_solid, linewidth=1)
// Subtle fill for overextended zones (without visible threshold lines)
upperLine = hline(upperThreshold, "Upper Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
lowerLine = hline(lowerThreshold, "Lower Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
fill(upperLine, hline(3), color=color.new(colorBearish, 95), title="Overextended High Zone")
fill(lowerLine, hline(-3), color=color.new(colorBullish, 95), title="Overextended Low Zone")
// Histogram style visualization (optional alternative)
histogramColor = smoothedDeviation >= upperThreshold ? color.new(colorBearish, 20) :
smoothedDeviation <= lowerThreshold ? color.new(colorBullish, 20) :
smoothedDeviation > 0 ? color.new(colorBearish, 80) :
color.new(colorBullish, 80)
plot(smoothedDeviation, "Histogram", color=histogramColor, style=plot.style_histogram, linewidth=3)
// ============================================================================
// BUY/SELL SIGNAL MARKERS
// ============================================================================
// Plot buy signals at -3.5 level (includes both initial and extended signals)
plot(allBuySignals ? -3.5 : na, title="Buy Signal", style=plot.style_circles,
color=color.new(colorBullish, 0), linewidth=4)
// Plot sell signals at 3.5 level (includes both initial and extended signals)
plot(allSellSignals ? 3.5 : na, title="Sell Signal", style=plot.style_circles,
color=color.new(colorBearish, 0), linewidth=4)
// ============================================================================
// ALERTS - SIMPLIFIED TO ONLY TWO ALERTS
// ============================================================================
// Alert 1: Long Entry/Short TP - fires on ANY green dot (original or continuation)
alertcondition(allBuySignals, "Long Entry/Short TP", "Long Entry/Short TP")
// Alert 2: Long TP/Short Entry - fires on ANY red dot (original or continuation)
alertcondition(allSellSignals, "Long TP/Short Entry", "Long TP/Short Entry")
// ============================================================================
// DATA DISPLAY
// ============================================================================
// Create a professional table for current readings
var color tableBgColor = #1a2332 // Dark blue background
var table infoTable = table.new(position.middle_right, 2, 2, border_width=1,
border_color=color.new(#2962FF, 30),
frame_width=1,
frame_color=color.new(#2962FF, 30))
if barstate.islast
// Determine status
statusText = overextendedHigh ? "OVEREXTENDED ↓" :
overextendedLow ? "OVEREXTENDED ↑" :
smoothedDeviation > 0 ? "Buyers In Control" : "Sellers In Control"
statusColor = overextendedHigh ? color.new(colorBearish, 0) :
overextendedLow ? color.new(colorBullish, 0) :
color.white
// Background color for status cell
statusBgColor = color.new(tableBgColor, 0)
// Status Row
table.cell(infoTable, 0, 0, "Status",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
table.cell(infoTable, 1, 0, statusText,
bgcolor=statusBgColor,
text_color=statusColor,
text_size=size.normal)
// Signal Row - always show
table.cell(infoTable, 0, 1, "Signal",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
// Show signal if flags are set (will stay visible during the bar)
if showBuyOnDashboard or showSellOnDashboard
// Green dot (buy signal) = "Long Entry/Short TP" with arrow up, white text on green background
// Red dot (sell signal) = "Long TP/Short Entry" with arrow down, white text on red background
signalText = showBuyOnDashboard ? "↑ Long Entry/Short TP" : "↓ Long TP/Short Entry"
signalColor = showBuyOnDashboard ? color.new(colorBullish, 0) : color.new(colorBearish, 0)
table.cell(infoTable, 1, 1, signalText,
bgcolor=signalColor,
text_color=color.white,
text_size=size.normal)
else
table.cell(infoTable, 1, 1, "Watching...",
bgcolor=color.new(tableBgColor, 0),
text_color=color.new(color.white, 60),
text_size=size.normal)
Key Support and ResistanceKEY SUPPORT AND RESISTANCE - USER GUIDE
========================================
OVERVIEW
This indicator automatically identifies and displays key support and resistance levels based on swing highs and swing lows. It uses pivot point detection to mark significant price levels where the market has previously shown reactions, helping traders identify potential entry/exit points and key decision zones.
KEY FEATURES
• Automatic Level Detection: Identifies swing highs (resistance) and swing lows (support) using pivot point analysis
• Dynamic Line Management: Displays only recent levels within a specified lookback period to keep charts clean
• Auto-Extending Lines: Projects support/resistance levels forward to anticipate future price interactions
• Color-Coded Levels: Red lines for resistance, green lines for support for easy visual identification
========================================
PARAMETERS
========================================
Left Bars (Default: 10)
• Minimum: 5 bars
• Number of bars to the left of the pivot point
• Higher values = more significant levels but fewer signals
• Lower values = more sensitive detection but may include minor swings
Right Bars (Default: 10)
• Minimum: 5 bars
• Number of bars to the right of the pivot point
• Must be confirmed by price action before the level is drawn
• Balances between confirmation delay and signal accuracy
Show Last N Bars (Default: 200)
• Minimum: 10 bars
• Only displays support/resistance levels detected within the most recent N bars
• Keeps your chart clean by removing outdated levels
• Adjust based on your trading timeframe and style
Line Extension Length (Default: 48)
• Minimum: 1 bar
• How many bars forward the support/resistance lines extend
• Helps visualize potential future price interactions
• Longer extensions useful for swing trading, shorter for day trading
========================================
HOW TO USE
========================================
FOR SWING TRADERS
1. Use default settings (10/10) or increase to 15/15 for more significant levels
2. Set "Show Last N Bars" to 300-500 to capture longer-term levels
3. Look for price reactions when approaching these levels
4. Combine with volume analysis for confirmation
FOR DAY TRADERS
1. Consider reducing Left/Right Bars to 7-8 for more frequent signals
2. Set "Show Last N Bars" to 100-150 to focus on recent action
3. Reduce "Line Extension Length" to 20-30 bars
4. Watch for intraday bounces or breakouts at these levels
TRADING STRATEGIES
Bounce Trading (Mean Reversion)
• Enter long when price approaches green support lines
• Enter short when price approaches red resistance lines
• Use stop loss just beyond the support/resistance level
• Best in ranging or consolidating markets
Breakout Trading (Trend Following)
• Wait for price to break through resistance (bullish) or support (bearish)
• Confirm with increased volume
• Previous resistance becomes new support (and vice versa)
• Best in trending markets
Multi-Timeframe Analysis
• Check higher timeframe levels for major support/resistance zones
• Use lower timeframe levels for precise entry/exit timing
• Confluence of multiple timeframe levels creates strong zones
========================================
IMPORTANT NOTES
========================================
Line Confirmation Delay
• Lines appear with a delay equal to "Right Bars" parameter
• This delay ensures the pivot point is confirmed
• Real-time level detection requires price action confirmation
Chart Clarity
• Maximum 500 lines can be displayed (TradingView limitation)
• Adjust "Show Last N Bars" if chart becomes too cluttered
• Old lines automatically delete when outside the lookback period
False Signals
• Not all support/resistance levels will hold
• Use additional confirmation (volume, candlestick patterns, other indicators)
• Markets can break through levels, especially during high-impact news
BEST PRACTICES
1. Combine with Other Analysis: Use alongside trend indicators, volume, and price action patterns
2. Context Matters: Consider overall market trend and structure
3. Risk Management: Always use stop losses; don't rely solely on S/R levels
4. Market Conditions: More effective in liquid, actively traded markets
5. Backtesting: Test settings on your specific instrument and timeframe before live trading
TROUBLESHOOTING
Too Many Lines?
• Increase "Left Bars" and "Right Bars" values
• Decrease "Show Last N Bars" value
Too Few Lines?
• Decrease "Left Bars" and "Right Bars" values
• Increase "Show Last N Bars" value
Lines Not Appearing?
• Ensure sufficient price data is loaded on your chart
• Check that "Right Bars" have passed since the last swing point
• Verify indicator is properly loaded (refresh if needed)
TECHNICAL DETAILS
• Uses ta.pivothigh() and ta.pivotlow() functions for level detection
• Implements array-based line management for efficient rendering
• Automatic cleanup of outdated lines to maintain performance
• Overlay indicator - displays directly on price chart
Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own research and risk assessment before making trading decisions.
========================================
中文使用指南
========================================
概述
本指標自動識別並顯示基於波段高點和低點的關鍵支撐阻力位。使用樞軸點檢測標記市場先前反應的重要價格水平，幫助交易者識別潛在的進出場點和關鍵決策區域。
主要功能
• 自動水平檢測：使用樞軸點分析識別波段高點（阻力）和波段低點（支撐）
• 動態線條管理：僅顯示指定回看期內的近期水平，保持圖表清晰
• 自動延伸線條：將支撐阻力水平向前投影，預測未來價格互動
• 顏色編碼：紅線表示阻力，綠線表示支撐，便於視覺識別
========================================
參數說明
========================================
左側K棒數（預設：10）
• 最小值：5根K棒
• 樞軸點左側的K棒數量
• 數值越高 = 水平越重要但訊號越少
• 數值越低 = 檢測更敏感但可能包含次要波動
右側K棒數（預設：10）
• 最小值：5根K棒
• 樞軸點右側的K棒數量
• 必須經過價格行為確認後才繪製水平
• 在確認延遲和訊號準確性之間取得平衡
顯示最近N根K棒內的點（預設：200）
• 最小值：10根K棒
• 僅顯示最近N根K棒內檢測到的支撐阻力水平
• 透過移除過時水平保持圖表清晰
• 根據您的交易時間框架和風格調整
線條延伸長度（預設：48）
• 最小值：1根K棒
• 支撐阻力線向前延伸的K棒數
• 幫助視覺化潛在的未來價格互動
• 較長延伸適合波段交易，較短適合當沖交易
========================================
使用方法
========================================
波段交易者
1. 使用預設設定（10/10）或增加至15/15以獲得更重要的水平
2. 將「顯示最近N根K棒」設為300-500以捕捉長期水平
3. 觀察價格接近這些水平時的反應
4. 結合成交量分析進行確認
當沖交易者
1. 考慮將左右側K棒減少至7-8以獲得更頻繁的訊號
2. 將「顯示最近N根K棒」設為100-150以專注於近期行情
3. 將「線條延伸長度」減少至20-30根K棒
4. 觀察日內在這些水平的反彈或突破
交易策略
反彈交易（均值回歸）
• 當價格接近綠色支撐線時做多
• 當價格接近紅色阻力線時做空
• 在支撐阻力水平之外設置止損
• 在區間或盤整市場中效果最佳
突破交易（趨勢跟隨）
• 等待價格突破阻力（看漲）或支撐（看跌）
• 以增加的成交量確認
• 先前的阻力成為新的支撐（反之亦然）
• 在趨勢市場中效果最佳
多時間框架分析
• 檢查更高時間框架的主要支撐阻力區域
• 使用較低時間框架進行精確的進出場時機
• 多個時間框架水平的匯合創造強大區域
========================================
重要注意事項
========================================
線條確認延遲
• 線條出現時會有等於「右側K棒數」參數的延遲
• 此延遲確保樞軸點被確認
• 實時水平檢測需要價格行為確認
圖表清晰度
• 最多可顯示500條線（TradingView限制）
• 如果圖表變得太雜亂，請調整「顯示最近N根K棒」
• 超出回看期的舊線會自動刪除
假訊號
• 並非所有支撐阻力水平都會守住
• 使用額外確認（成交量、K棒型態、其他指標）
• 市場可能突破水平，特別是在重大新聞期間
最佳實踐
1. 結合其他分析：與趨勢指標、成交量和價格行為型態一起使用
2. 背景很重要：考慮整體市場趨勢和結構
3. 風險管理：始終使用止損；不要僅依賴支撐阻力水平
4. 市場條件：在流動性高、活躍交易的市場中更有效
5. 回測：在實盤交易前，在您的特定商品和時間框架上測試設定
故障排除
線條太多？
• 增加「左側K棒數」和「右側K棒數」數值
• 減少「顯示最近N根K棒」數值
線條太少？
• 減少「左側K棒數」和「右側K棒數」數值
• 增加「顯示最近N根K棒」數值
線條未出現？
• 確保圖表上載入了足夠的價格數據
• 檢查自上次波動點以來是否已過「右側K棒數」
• 驗證指標是否正確載入（如需要請刷新）
技術細節
• 使用 ta.pivothigh() 和 ta.pivotlow() 函數進行水平檢測
• 實施基於陣列的線條管理以實現高效渲染
• 自動清理過時線條以保持性能
• 疊加指標 - 直接顯示在價格圖表上
免責聲明：本指標僅供教育和資訊目的。不構成財務建議。在做出交易決策前，請務必進行自己的研究和風險評估。
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period.
The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it.
By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow.
🔹 Features
1. RSI-Based Distribution Profile
-Builds a histogram of RSI values between 0 and 100.
-The RSI range is divided into a user-defined number of bins (e.g., 30 bins).
-Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100.
-For each bar in the lookback period, the script:
-Finds which bin the RSI value belongs to
Adds either:
-1.0 → if using time/frequency
-volume → if using volume-weighted RSI distribution
This creates a clear profile of where RSI has been concentrated over the chosen lookback window.
2. Time / Volume Weighting Mode
Under Profile Settings, you can choose:
-Weight by Volume = false
→ Profile is built using time spent at each RSI level (frequency).
-Weight by Volume = true
→ Profile is built using volume traded at each RSI level.
This flexibility allows you to decide whether you want:
-A pure momentum structure (time spent at each RSI)
-Or a participation-weighted structure (where higher-volume zones are emphasized)
3. Configurable Lookback & Resolution
-Profile Lookback: number of historical bars to analyze.
-Number of Bins: controls the resolution of the histogram:
Fewer bins → smoother, fewer gaps
More bins → more detail, but potentially more visual sparsity
-Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration.
This provides a balance between performance, clarity, and visual density.
4. Value Area, POC, VAH, VAL
The script computes:
-POC (Point of Control)
→ The RSI bin with the highest total value (time or volume).
-Value Area (VA)
→ The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%).
-VAH & VAL
→ Upper and lower RSI boundaries of this Value Area.
These are then drawn as horizontal lines and labeled:
-POC line and label
-VAH line and label
-VAL line and label
This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis.
5. Color Coding & Visual Design
The histogram bars (boxes) are colored using a smart scheme:
-Below 30 RSI → Oversold zone, uses the Oversold Color (default: green).
-Above 70 RSI → Overbought zone, uses the Overbought Color (default: red).
-Between 30 and 70 RSI → Neutral zone, uses a gradient between:
A soft blue at lower mid levels
A soft orange at higher mid levels
Additional styling:
-POC bin is highlighted in bright yellow.
-Bins inside the Value Area → lower transparency (more solid).
-Bins outside the Value Area → higher transparency (faded).
This makes it easy to visually distinguish:
-Core RSI activity (VA)
-Extremes (oversold/overbought)
-The single dominant zone (POC)
🔹 Calculations
This section summarizes the core logic behind the script and highlights the main building blocks that power the profile.
1. Profile Structure and Bin Initialization
A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record:
method initBins(Profile p) =>
p.bins := array.new()
float step = 100.0 / p.binCount
for i = 0 to p.binCount - 1
float low = i * step
float high = (i + 1) * step
p.bins.push(Bin.new(low, high, 0.0, box(na)))
2. Filling the Profile Over the Lookback Window
On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile:
if barstate.islast
myProfile.reset()
int start = math.max(0, bar_index - lookback)
int end = bar_index
for i = 0 to (end - start)
float r = rsi
float v = volume
if not na(r)
myProfile.add(r, v)
The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode:
method add(Profile p, float rsiValue, float volumeValue) =>
int idx = int(rsiValue / (100.0 / p.binCount))
if idx >= p.binCount
idx := p.binCount - 1
if idx < 0
idx := 0
Bin targetBin = p.bins.get(idx)
float addedValue = p.useVolume ? volumeValue : 1.0
targetBin.value += addedValue
3. Finding POC and Building the Value Area
Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered:
for in p.bins
totalVal += b.value
if b.value > maxVal
maxVal := b.value
pocIdx := i
float vaTarget = totalVal * (p.vaPercent / 100.0)
float currentVaVol = maxVal
int upIdx = pocIdx
int downIdx = pocIdx
while currentVaVol < vaTarget
float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0
float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0
if upVol == 0 and downVol == 0
break
if upVol >= downVol
upIdx += 1
currentVaVol += upVol
else
downIdx -= 1
currentVaVol += downVol
Hybrid -WinCAlgo/// 🇬🇧
Hybrid - WinCAlgo is a weighted composite oscillator designed to provide a more robust and reliable signal than the standard Relative Strength Index (RSI). It integrates four different momentum and volume metrics—RSI, Money Flow Index (MFI), Scaled CCI, and VWAP-RSI—into a single 0-100 oscillator.
This powerful tool aims to filter market noise and enhance the detection of trend reversals by confirming momentum with trading volume and volume-weighted average price action.
⚪ What is this Indicator?
The Hybrid Oscillator combines:
* RSI (40% Weight): Measures fundamental price momentum.
* VWAP-RSI (40% Weight): Measures the momentum of the Volume Weighted Average Price (VWAP), providing strong volume confirmation for trend strength.
* MFI (10% Weight): Measures money flow volume, confirming momentum with liquidity.
* Scaled CCI (10% Weight): Tracks market extremes and potential trend shifts, scaled to fit the 0-100 range.
⚪ Key Features
* Composite Strength: Blends four different market factors for a multi-dimensional view of momentum.
* Volume Integration: High weights on VWAP-RSI and MFI ensure that momentum signals are backed by trading volume.
* Advanced Divergence: The robust formula significantly enhances the detection of Bullish and Bearish Divergences, often providing an earlier signal than traditional oscillators.
* Customizable: Adjustable Lookback Length (N) and Individual Component Weights allow users to fine-tune the oscillator for specific assets or timeframes.
* Visual Clarity: Uses 40/60 bands for earlier Overbought/Oversold indications, with a gradient-styled background for intuitive visual interpretation.
⚪ Usage
Use Hybrid – WinCAlgo as your primary momentum confirmation tool:
* Divergence Signals: Trust the indicator when it fails to confirm new price highs/lows; this signals imminent trend exhaustion and reversal.
* Accumulation/Distribution: Look for the oscillator to rise/fall while the price is ranging at a bottom/top; this confirms hidden buying or selling (accumulation).
* Overbought/Oversold: Use the 60 band as the trigger for potential selling/shorting signals, and the 40 band for potential buying/longing signals.
* Noise Filter: Combine with a higher timeframe chart (e.g., 4H or Daily) to filter out gürültü (noise) and focus only on significant momentum shifts.
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