MACD Boundary PSA - CoffeeKillerMACD Boundary PSA - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the MACD Boundary PSA indicator, a powerful market analysis tool developed by CoffeeKiller that enhances the traditional MACD with advanced boundary detection and peak signaling features.
🔔 **Warning: This Indicator Has No Signal Line or MACD Line** 🔔 This indicator is my version of the MACD, that I use in conjunction with the Rev&Line indicator.
Core Concept: Enhanced MACD Analysis
The foundation of this indicator builds upon the classic Moving Average Convergence Divergence (MACD) indicator, adding boundary tracking and peak detection systems to provide clearer signals and market insights.
Histogram Bars: Market Momentum
- Positive Green Bars: Bullish momentum
- Negative Red Bars: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Acts as dynamic boundaries that help identify strength of current moves
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Core Components
1. MACD Calculation
- Customizable fast and slow moving averages
- Signal line smoothing options
- Flexible MA type selection (SMA or EMA)
- Custom source input options
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Time Resolution Control
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
Main Features
Time Resolution Settings
- Normal mode: calculations match your chart's timeframe
- Custom resolution mode: calculations based on specified timeframe
- Helps identify stronger signals from other timeframes
Visual Elements
- Color-coded histogram bars
- Dynamic marker lines for boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction
Customization Options
- MA types and lengths
- Signal smoothing
- Color schemes
- Marker line visibility
- Peak background display options
Trading Applications
1. Trend Identification
- Histogram crossing above zero: bullish trend beginning
- Histogram crossing below zero: bearish trend beginning
- Histogram color: indicates momentum direction
- Consistent color intensity: trend strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Histogram approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Histogram breaking above previous high boundary: accelerating bullish momentum
- Histogram breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Distance from zero line: overall momentum magnitude
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. MACD Settings
- Fast Length: Shorter values (8-12) for responsiveness, longer values (20+) for smoother signals
- Slow Length: Shorter values (21-34) for more signals, longer values (72+) for major moves
- Default settings (22, 72, 9): balanced approach for most timeframes
- Consider using 8, 21, 5 for shorter timeframes and 34, 144, 5 for longer timeframes
2. MA Type Selection
- EMA: More responsive, follows price more closely
- SMA: Smoother, fewer false signals, potentially more lag
- Mix and match for oscillator and signal lines based on your preference
3. Time Resolution
- Match chart timeframe: for aligned analysis
- Use higher timeframe: for filtering signals
- Lower timeframe: for earlier entries but more noise
4. Color Customization
- Normal bullish/bearish colors: represent standard momentum
- High/low marker line colors: customize visibility
- Peak marker colors: adjust for your visual preference
- Consider chart background when selecting colors
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use custom timeframe option for higher timeframe confirmation
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Custom resolution: allows comparison across timeframes
- Consider using multiple timeframes for confirmation
3. Market Context
- Strong bullish phase: positive histogram breaking above marker line
- Strong bearish phase: negative histogram breaking below marker line
- Histogram approaching zero: potential trend change
- Peak formations: potential exhaustion points
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with oscillators for overbought/oversold conditions
- Combine with volume analysis for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when histogram breaks above previous high marker line
- Enter short when histogram breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Multi-Timeframe Strategy
- Use custom resolution for higher timeframe MACD trend
- Enter trades when both timeframes align
- Higher timeframe for trend direction
- Chart timeframe for precise entry
4. Histogram Color Strategy
- Enter long when histogram turns bright green (increasing momentum)
- Enter short when histogram turns bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Histogram crosses above zero line
- Green bars grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Histogram crosses below zero line
- Red bars grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Histogram oscillates around zero line
- Bar colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Histogram values remain small
Understanding Market Dynamics Through MACD Boundary PSA
At its core, this indicator provides a unique lens to visualize market momentum and boundaries:
1. Momentum Strength: The histogram height/depth shows the strength of current momentum, with color intensity providing additional context about acceleration or deceleration.
2. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
3. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
4. Trend Confirmation: The histogram color and intensity provide instant feedback about the current trend direction and strength, with special colors highlighting particularly significant moves.
Remember:
- Combine signals from histogram, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
在腳本中搜尋"support resistance"
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
StatPivot- Dynamic Range Analyzer - indicator [PresentTrading]Hello everyone! In the following few open scripts, I would like to share various statistical tools that benefit trading. For this time, it is a powerful indicator called StatPivot- Dynamic Range Analyzer that brings a whole new dimension to your technical analysis toolkit.
This tool goes beyond traditional pivot point analysis by providing comprehensive statistical insights about price movements, helping you identify high-probability trading opportunities based on historical data patterns rather than subjective interpretations. Whether you're a day trader, swing trader, or position trader, StatPivot's real-time percentile rankings give you a statistical edge in understanding exactly where current price action stands within historical contexts.
Welcome to share your opinions! Looking forward to sharing the next tool soon!
█ Introduction and How it is Different
StatPivot is an advanced technical analysis tool that revolutionizes retracement analysis. Unlike traditional pivot indicators that only show static support/resistance levels, StatPivot delivers dynamic statistical insights based on historical pivot patterns.
Its key innovation is real-time percentile calculation - while conventional tools require new pivot formations before updating (often too late for trading decisions), StatPivot continuously analyzes where current price stands within historical retracement distributions.
Furthermore, StatPivot provides comprehensive statistical metrics including mean, median, standard deviation, and percentile distributions of price movements, giving traders a probabilistic edge by revealing which price levels represent statistically significant zones for potential reversals or continuations. By transforming raw price data into statistical insights, StatPivot helps traders move beyond subjective price analysis to evidence-based decision making.
█ Strategy, How it Works: Detailed Explanation
🔶 Pivot Point Detection and Analysis
The core of StatPivot's functionality begins with identifying significant pivot points in the price structure. Using the parameters left and right, the indicator locates pivot highs and lows by examining a specified number of bars to the left and right of each potential pivot point:
Copyp_low = ta.pivotlow(low, left, right)
p_high = ta.pivothigh(high, left, right)
For a point to qualify as a pivot low, it must have left higher lows to its left and right higher lows to its right. Similarly, a pivot high must have left lower highs to its left and right lower highs to its right. This approach ensures that only significant turning points are recognized.
🔶 Percentage Change Calculation
Once pivot points are identified, StatPivot calculates the percentage changes between consecutive pivot points:
For drops (when a pivot low is lower than the previous pivot low):
CopydropPercent = (previous_pivot_low - current_pivot_low) / previous_pivot_low * 100
For rises (when a pivot high is higher than the previous pivot high):
CopyrisePercent = (current_pivot_high - previous_pivot_high) / previous_pivot_high * 100
These calculations quantify the magnitude of each market swing, allowing for statistical analysis of historical price movements.
🔶 Statistical Distribution Analysis
StatPivot computes comprehensive statistics on the historical distribution of drops and rises:
Average (Mean): The arithmetic mean of all recorded percentage changes
CopyavgDrop = array.avg(dropValues)
Median: The middle value when all percentage changes are arranged in order
CopymedianDrop = array.median(dropValues)
Standard Deviation: Measures the dispersion of percentage changes from the average
CopystdDevDrop = array.stdev(dropValues)
Percentiles (25th, 75th): Values below which 25% and 75% of observations fall
Copyq1 = array.get(sorted, math.floor(cnt * 0.25))
q3 = array.get(sorted, math.floor(cnt * 0.75))
VaR95: The maximum expected percentage drop with 95% confidence
Copyvar95D = array.get(sortedD, math.floor(nD * 0.95))
Coefficient of Variation (CV): Measures relative variability
CopycvD = stdDevDrop / avgDrop
These statistics provide a comprehensive view of market behavior, enabling traders to understand the typical ranges and extreme moves.
🔶 Real-time Percentile Ranking
StatPivot's most innovative feature is its real-time percentile calculation. For each current price, it calculates:
The percentage drop from the latest pivot high:
CopycurrentDropPct = (latestPivotHigh - close) / latestPivotHigh * 100
The percentage rise from the latest pivot low:
CopycurrentRisePct = (close - latestPivotLow) / latestPivotLow * 100
The percentile ranks of these values within the historical distribution:
CopyrealtimeDropRank = (count of historical drops <= currentDropPct) / total drops * 100
This calculation reveals exactly where the current price movement stands in relation to all historical movements, providing crucial context for decision-making.
🔶 Cluster Analysis
To identify the most common retracement zones, StatPivot performs a cluster analysis by dividing the range of historical drops into five equal intervals:
CopyrangeSize = maxVal - minVal
For each interval boundary:
Copyboundaries = minVal + rangeSize * i / 5
By counting the number of observations in each interval, the indicator identifies the most frequently occurring retracement zones, which often serve as significant support or resistance areas.
🔶 Expected Price Targets
Using the statistical data, StatPivot calculates expected price targets:
CopytargetBuyPrice = close * (1 - avgDrop / 100)
targetSellPrice = close * (1 + avgRise / 100)
These targets represent statistically probable price levels for potential entries and exits based on the average historical behavior of the market.
█ Trade Direction
StatPivot functions as an analytical tool rather than a direct trading signal generator, providing statistical insights that can be applied to various trading strategies. However, the data it generates can be interpreted for different trade directions:
For Long Trades:
Entry considerations: Look for price drops that reach the 70-80th percentile range in the historical distribution, suggesting a statistically significant retracement
Target setting: Use the Expected Sell price or consider the average rise percentage as a reasonable target
Risk management: Set stop losses below recent pivot lows or at a distance related to the statistical volatility (standard deviation)
For Short Trades:
Entry considerations: Look for price rises that reach the 70-80th percentile range, indicating an unusual extension
Target setting: Use the Expected Buy price or average drop percentage as a target
Risk management: Set stop losses above recent pivot highs or based on statistical measures of volatility
For Range Trading:
Use the most common drop and rise clusters to identify probable reversal zones
Trade bounces between these statistically significant levels
For Trend Following:
Confirm trend strength by analyzing consecutive higher pivot lows (uptrend) or lower pivot highs (downtrend)
Use lower percentile retracements (20-30th percentile) as entry opportunities in established trends
█ Usage
StatPivot offers multiple ways to integrate its statistical insights into your trading workflow:
Statistical Table Analysis: Review the comprehensive statistics displayed in the data table to understand the market's behavior. Pay particular attention to:
Average drop and rise percentages to set reasonable expectations
Standard deviation to gauge volatility
VaR95 for risk assessment
Real-time Percentile Monitoring: Watch the real-time percentile display to see where the current price movement stands within the historical distribution. This can help identify:
Extreme movements (90th+ percentile) that might indicate reversal opportunities
Typical retracements (40-60th percentile) that might continue further
Shallow pullbacks (10-30th percentile) that might represent continuation opportunities in trends
Support and Resistance Identification: Utilize the plotted pivot points as key support and resistance levels, especially when they align with statistically significant percentile ranges.
Target Price Setting: Use the expected buy and sell prices calculated from historical averages as initial targets for your trades.
Risk Management: Apply the statistical measurements like standard deviation and VaR95 to set appropriate stop loss levels that account for the market's historical volatility.
Pattern Recognition: Over time, learn to recognize when certain percentile levels consistently lead to reversals or continuations in your specific market, and develop personalized strategies based on these observations.
█ Default Settings
The default settings of StatPivot have been carefully calibrated to provide reliable statistical analysis across a variety of markets and timeframes, but understanding their effects allows for optimal customization:
Left Bars (30) and Right Bars (30): These parameters determine how pivot points are identified. With both set to 30 by default:
A pivot low must be the lowest point among 30 bars to its left and 30 bars to its right
A pivot high must be the highest point among 30 bars to its left and 30 bars to its right
Effect on performance: Larger values create fewer but more significant pivot points, reducing noise but potentially missing important market structures. Smaller values generate more pivot points, capturing more nuanced movements but potentially including noise.
Table Position (Top Right): Determines where the statistical data table appears on the chart.
Effect on performance: No impact on analytical performance, purely a visual preference.
Show Distribution Histogram (False): Controls whether the distribution histogram of drop percentages is displayed.
Effect on performance: Enabling this provides visual insight into the distribution of retracements but can clutter the chart.
Show Real-time Percentile (True): Toggles the display of real-time percentile rankings.
Effect on performance: A critical setting that enables the dynamic analysis of current price movements. Disabling this removes one of the key advantages of the indicator.
Real-time Percentile Display Mode (Label): Chooses between label display or indicator line for percentile rankings.
Effect on performance: Labels provide precise information at the current price point, while indicator lines show the evolution of percentile rankings over time.
Advanced Considerations for Settings Optimization:
Timeframe Adjustment: Higher timeframes generally benefit from larger Left/Right values to identify truly significant pivots, while lower timeframes may require smaller values to capture shorter-term swings.
Volatility-Based Tuning: In highly volatile markets, consider increasing the Left/Right values to filter out noise. In less volatile conditions, lower values can help identify more potential entry and exit points.
Market-Specific Optimization: Different markets (forex, stocks, commodities) display different retracement patterns. Monitor the statistics table to see if your market typically shows larger or smaller retracements than the current settings are optimized for.
Trading Style Alignment: Adjust the settings to match your trading timeframe. Day traders might prefer settings that identify shorter-term pivots (smaller Left/Right values), while swing traders benefit from more significant pivots (larger Left/Right values).
By understanding how these settings affect the analysis and customizing them to your specific market and trading style, you can maximize the effectiveness of StatPivot as a powerful statistical tool for identifying high-probability trading opportunities.
Trapped Traders Order BlocksHow It Works
The Trapped Traders Order Blocks indicator identifies specific price action patterns that suggest large market participants ("big money") have been trapped in losing positions after significant price sweeps, creating potential opportunities for reversals. The indicator detects both "bullish trap blocks" (where bearish traders are trapped) and "bearish trap blocks" (where bullish traders are trapped). Here’s the step-by-step process for each:
Bullish Trap Block (Bears Trapped):
A bearish candle (Candle A) must sweep the high of the previous candle (Candle B), meaning its high exceeds the high of the prior candle.
This bearish candle must have a longer upper wick than its lower wick, indicating rejection of higher prices.
The candle must not be a doji (i.e., it must have a significant body, defined as the body being at least 10% of the candle's range).
The next candle (Candle C) must close above the body of the bearish candle (Candle A), suggesting that price has immediately moved against the bearish sweep, potentially trapping bearish traders who entered short positions expecting a downward move.
The body of the bearish candle (Candle A) is marked as a "bullish trap block." A box is drawn around this candle's body, and a label ("Bullish Trap") is placed below it.
Bearish Trap Block (Bulls Trapped):
A bullish candle (Candle A) must sweep the low of the previous candle (Candle B), meaning its low is below the low of the prior candle.
This bullish candle must have a longer lower wick than its upper wick, indicating rejection of lower prices.
The candle must not be a doji.
The next candle (Candle C) must close below the body of the bullish candle (Candle A), suggesting that price has immediately moved against the bullish sweep, potentially trapping bullish traders who entered long positions expecting an upward move.
The body of the bullish candle (Candle A) is marked as a "bearish trap block." A box is drawn around this candle's body, and a label ("Bearish Trap") is placed above it.
Dynamic Box Extension:
For both bullish and bearish trap blocks, the box extends dynamically to the current bar unless it exceeds a user-defined age (default is 52 bars), at which point it stops at the maximum age.
Sweep Detection:
Bullish Sweep (of any trap block, bullish or bearish):
The current candle's open is above the top of the box.
The low is below the top of the box.
The close is above the top of the box.
The lower wick is longer than the upper wick (indicating rejection of lower prices).
The close is above 50% of the candle's range (ensuring a strong bullish bias).
When a bullish sweep occurs, a label ("Bullish Sweep") is placed at the low of the candle, pointing upward, and an alert is triggered.
Bearish Sweep (of any trap block, bullish or bearish):
The current candle's open is below the bottom of the box.
The high is above the bottom of the box.
The close is below the bottom of the box.
The upper wick is longer than the lower wick (indicating rejection of higher prices).
The close is below 50% of the candle's range (ensuring a strong bearish bias).
When a bearish sweep occurs, a label ("Bearish Sweep") is placed at the high of the candle, pointing downward, and an alert is triggered.
When to Be Used
The Trapped Traders Order Blocks indicator is best used in the following scenarios:
Reversal Trading:
Use this indicator to identify potential reversal points in the market. Bullish trap blocks suggest that trapped bears may unwind their short positions, leading to a potential bullish move. Bearish trap blocks suggest that trapped bulls may unwind their long positions, leading to a potential bearish move.
Look for sweeps of these blocks as confirmation of a directional move. A bullish sweep indicates a potential upward move, while a bearish sweep indicates a potential downward move.
Range-Bound Markets:
In sideways or ranging markets, trapped blocks can highlight key levels where large players have been caught off-guard. These levels often act as support or resistance, and a sweep of the block can signal a breakout or continuation in the direction of the sweep.
Confluence with Other Indicators:
Combine the trapped blocks with other technical analysis tools, such as support/resistance levels, Fibonacci retracements, or volume analysis, to increase the probability of a successful trade. For example, a bullish trap block near a strong support level with a bullish sweep can provide a high-probability setup for a long position, while a bearish trap block near a strong resistance level with a bearish sweep can signal a short opportunity.
Timeframes:
The indicator is most effective on higher timeframes such as 1-day (1D), 1-week (1W), and 1-month (1M) charts. These timeframes are more likely to capture significant moves involving large market participants, reducing noise and false signals compared to lower timeframes. While it can be used on lower timeframes (e.g., 1-hour or 4-hour), the signals may be less reliable due to increased market noise.
Logic Behind It
The logic behind the Trapped Traders Order Blocks indicator is rooted in market psychology and the behavior of large market participants ("big money"). When a large sweep candle occurs where price spikes in one direction but then quickly reverses it often indicates that traders have entered positions in the direction of the sweep, expecting a continuation. However, if the price immediately moves against them, these traders are now trapped in losing positions.
Bullish Trap Block (Bears Trapped):
A large bearish sweep candle (spiking upward but closing lower) suggests that bearish traders (bears) have entered short positions at the top of the move, expecting a downward continuation. If the next candle closes above the bearish candle's body, these bears are trapped in losing positions.
The body of the bearish candle becomes a "bullish trap block" because the trapped bears are likely to have placed their stop-loss orders or break-even exit orders just above the high of the sweep candle or within the body of the candle. As price revisits this level in the future, these trapped traders may attempt to unwind their positions by buying back their shorts, which can drive the price higher. This unwinding process often attracts new buyers, leading to a potential bullish reversal or continuation.
The bullish sweep conditions (e.g., close > box top, longer lower wick, and close above 50% of the range) ensure that the price action at the block level shows strong bullish momentum and rejection of lower prices, confirming the potential for a move higher.
Bearish Trap Block (Bulls Trapped):
A large bullish sweep candle (spiking downward but closing higher) suggests that bullish traders (bulls) have entered long positions at the bottom of the move, expecting an upward continuation. If the next candle closes below the bullish candle's body, these bulls are trapped in losing positions.
The body of the bullish candle becomes a "bearish trap block" because the trapped bulls are likely to have placed their stop-loss orders or break-even exit orders just below the low of the sweep candle or within the body of the candle. As price revisits this level in the future, these trapped traders may attempt to unwind their positions by selling their longs, which can drive the price lower. This unwinding process often attracts new sellers, leading to a potential bearish reversal or continuation.
The bearish sweep conditions (e.g., close < box bottom, longer upper wick, and close below 50% of the range) ensure that the price action at the block level shows strong bearish momentum and rejection of higher prices, confirming the potential for a move lower.
Summary
Bullish Trap Block: Occurs when bears get trapped after a bearish sweep candle is immediately followed by a bullish candle, indicating a potential reversal as trapped bears may unwind their positions.
Bearish Trap Block: Occurs when bulls get trapped after a bullish sweep candle is immediately followed by a bearish candle, indicating a potential bearish reversal.
Use Case: Ideal for identifying reversal opportunities, especially in range-bound markets or at key support/resistance levels on higher timeframes like 1D, 1W, and 1M, and can be combined with other indicators for confluence.
Logic: Large sweep candles followed by an immediate reversal suggest that big money has been trapped, and these traders may unwind their positions at break-even in the near future, driving price in the opposite direction of their initial trade.
This indicator provides a visual and actionable way to identify these trapped trader scenarios, with customizable settings for box display, sweep visuals, and alerts to help traders capitalize on these opportunities, particularly on higher timeframes where the signals are most reliable.
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Rev & Line - CoffeeKillerRev & Line - CoffeeKiller Indicator Guide
🔔 Warning: This Indicator Repaints 🔔 This indicator uses real-time calculations that may change based on future price action. As a result, signals (such as arrows, lines, or color changes) **can and will repaint** — meaning they may appear, disappear, or shift after a candle closes.
**Do not rely on this tool alone for live trading decisions.** Use with caution and always confirm with non-repainting tools or additional analysis.(This indicator is designed to show me the full length of the trend and because of this there can be a smaller movement inside of the trend movement)
Welcome traders! This guide will walk you through the Rev & Line indicator, a sophisticated technical analysis tool developed by CoffeeKiller that combines multiple methodologies to identify market pivots, trends, and potential reversal points.
Core Components
1. ZigZag Analysis
- Dynamic pivot detection using ATR (Average True Range)
- Customizable sensitivity through ATR Reversal Factor
- Color-coded trend lines (green for upward, red for downward)
- Optional vertical lines at pivot points
- Real-time pivot point analysis
2. Donchian Channel Integration
- Traditional upper, lower, and middle bands
- Customizable length and displacement
- Channel-based entry signals
- Dynamic market structure visualization
3. Marker Lines System
- Dynamic support/resistance level tracking
- Pivot-based reset mechanism
- Optional fill zones between markers
- Percentage position tracking within range
4. Signal Generation System
- Confluence between ZigZag pivots and Donchian channels
- Up/down arrow visualization
- Alert system
Main Features
ZigZag Settings
- ATR Reversal Factor: Controls pivot sensitivity (default 3.2)
- Customizable line appearance:
Width control (default: 3)
Color selection (green for uptrend, red for downtrend)
Vertical line options at pivot points
Maximum vertical lines display limit
- Hide repainted option for more reliable signals
Donchian Channel Configuration
- Optional channel visibility toggle
- Length parameter for lookback period (default: 20)
- Displace option for time offset
- Bubble offset for visual placement
Marker Lines System
- High/low/middle marker lines with step-line visualization
- Dotted line projections for future reference
- Pivot-based reset mechanism
- Color-coded percentage position display
Signal Generation
- Triangle markers for signals
- Combined ZigZag and Donchian confluence
- Alert system for notifications
Visual Elements
1. Pivot Lines
- Green: Upward price movements
- Red: Downward price movements
- Customizable line width
- Optional vertical pivot markers with style options:
Solid lines for confirmed pivots
Dashed lines for older pivots
Dotted lines for most recent pivots
2. Donchian Channels
- Upper band (red): Resistance level
- Lower band (green): Support level
- Middle band (yellow): Median price line
- Customizable display options
3. Marker Lines
- High marker line (magenta): Tracks highest open price
- Low marker line (cyan): Tracks lowest open price
- Middle marker line (blue): 50% level between high/low
- Dotted line extensions for future price projections
4. Position Tracking
- Percentage position display within marker range
- Real-time calculations from 0% to 100%
- Label system for visual reference
Trading Applications
1. Trend Following
- Enter on confirmed ZigZag pivot points
- Use Donchian channel boundaries as targets
- Trail stops using marker lines
- Monitor for confluence between systems
2. Counter-Trend Trading
- Trade bounces from marker lines
- Use pivot confirmation for entry timing
- Set stops based on recent pivot points
- Target the opposite marker line
3. Range Trading
- Use high/low marker lines to define range
- Trade bounces between upper and lower markers
- Consider middle marker for range midpoint
- Monitor percentage position within range
4. Breakout Trading
- Enter on breaks above/below marker lines
- Confirm with Donchian channel breakouts
- Use ZigZag pivot confirmations
- Wait for arrow signals for additional confirmation
Optimization Guide
1. ZigZag Parameters
- Higher ATR Factor: Less sensitive, major moves only
- Lower ATR Factor: More sensitive, catches minor moves
- Adjust line width for chart visibility
- Balance vertical line count for clarity
2. Donchian Channel Settings
- Longer length: Smoother channels, fewer false signals
- Shorter length: More responsive, but potentially noisier
- Displacement: Offset for historical reference
- Consider timeframe when setting parameters
3. Marker Line Configuration
- Enable/disable based on trading style
- Toggle middle line for additional reference
- Adjust colors for visual clarity
- Enable/disable labels as needed
4. Signal Generation
- Use "Hide repainted" option for more reliable signals
- Combine ZigZag and Donchian signals for confirmation
- Set alerts based on confirmed pivot points
- Balance sensitivity with reliability
Best Practices
1. Signal Confirmation
- Wait for confirmed pivot points
- Check for Donchian channel interactions
- Confirm with price action
- Look for arrow signals at pivot points
2. Risk Management
- Use recent pivot points for stop placement
- Consider marker line boundaries for targets
- Don't trade against strong trends
- Wait for clear confluence between systems
3. Setup Optimization
- Start with default settings
- Adjust based on timeframe
- Fine-tune ATR sensitivity
- Match settings to trading style
Advanced Features
1. Alert System
- Customizable arrow alerts
- Pivot point notifications
- Text message alerts with ticker information
- Once-per-bar frequency option
2. Pivot Detection Logic
The indicator uses a sophisticated state-based approach to detect pivots:
- State transitions between "uptrend," "downtrend," and "undefined"
- ATR-based reversal detection
- Minimum movement threshold for pivot confirmation
- Historical pivot tracking and labeling
3. Marker Line Reset Mechanism
- Marker lines reset based on pivot detection
- Dynamic support/resistance level adjustment
- Percentage position calculation within range
- Automatic updates as market structure changes
Remember:
- Combine multiple confirmation signals
- Use appropriate timeframe settings
- Monitor both ZigZag and Marker signals
- Pay attention to Donchian channel interactions
- Consider market volatility when trading
This indicator works best when:
- Used with proper risk management
- Combined with other technical tools
- Applied to appropriate timeframes
- Signals are confirmed by price action
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
MTF Fibonacci Pivots with Mandelbrot FractalsMTF Fibonacci Pivots with Mandelbrot Fractals: Advanced Market Structure Analysis
Overview
The MTF Fibonacci Pivots with Mandelbrot Fractals indicator represents a significant advancement in technical analysis by combining multi-timeframe Fibonacci pivot levels with sophisticated fractal pattern recognition. This powerful tool identifies key support and resistance zones while predicting potential price reversals with remarkable accuracy.
Key Capabilities
This indicator provides traders with three distinct layers of market structure analysis:
Automatic Timeframe Adaptation: The primary pivot set automatically adjusts to your chart's timeframe, ensuring relevant support and resistance levels for your specific trading horizon.
1-Year Fibonacci Pivots: The second layer displays yearly pivots that reveal long-term market cycles and institutional price levels that often act as significant reversal points.
3-Year Fibonacci Pivots: The third layer unveils major market structure zones that typically remain relevant for extended periods, offering strategic context for position trading and long-term investment decisions.
Predictive Technology
What truly distinguishes this indicator is its advanced predictive capability powered by:
Mandelbrot Fractal Pattern Recognition: The indicator implements a sophisticated fractal detection algorithm that identifies recurring price patterns across multiple timeframes. Unlike conventional fractal indicators, it incorporates noise filtering and adaptive sensitivity to market volatility.
Tesla's 3-6-9 Principle Integration: The system incorporates Nikola Tesla's mathematical principle through a cubic Mandelbrot equation (Z_{n+1} = Z_n^3 + C where Z_0 = 0), creating a unique approach to pattern recognition that aligns with natural market rhythms.
Historical Pattern Matching: When a current price pattern exhibits strong similarity to historical formations, the indicator generates predictive targets with confidence ratings. Each prediction undergoes rigorous validation against multiple parameters including trend alignment, volatility context, and mathematical coherence.
Visual Intelligence System
The indicator's visual presentation enhances trading decision-making through:
Confidence-Based Visualization: Predictions display with intuitive star ratings, percentage confidence scores, and contextual information including price movement magnitude and estimated time to target.
Adaptive Color Harmonization: The color system intelligently adjusts to provide optimal visibility while maintaining a professional appearance suitable for any chart setup.
Trend Alignment Indicators: Each prediction includes references to the broader trend context, helping traders avoid counter-trend trades unless the reversal signal carries exceptional strength.
Strategic Applications
This indicator excels in multiple trading scenarios:
Intraday Trading: Identify high-probability reversal zones with precise timing
Swing Trading: Anticipate significant market turns at key structural levels
Position Trading: Recognize major cycle shifts for strategic entry and exit
The automatic 1-year and 3-year Fibonacci pivots provide institutional-grade reference points that typically define major market movements. These longer timeframes reveal critical zones that might be invisible on shorter-term analysis, giving you a significant edge in understanding where price is likely to encounter substantial buying or selling pressure.
This innovative approach to market analysis combines classical Fibonacci mathematics with cutting-edge fractal theory to create a comprehensive market structure visualization system that illuminates both present support/resistance levels and future price targets with exceptional clarity.
Setting Up MTF Fibonacci Pivots with Mandelbrot Fractals
Initial Setup
Adding this indicator to your TradingView charts is straightforward:
Navigate to the "Indicators" button on your chart toolbar
Search for "MTF Fibonacci Pivots with Mandelbrot Fractals"
Select the indicator to add it to your chart
A configuration panel will appear with various setting categories
Recommended Settings
The indicator comes pre-configured with optimal default settings, but you may want to adjust them based on your trading style:
For Day Trading (Timeframes 1-minute to 1-hour)
Pivots Timeframe 1: Auto (automatically adapts to your chart)
Pivots Timeframe 2: Daily
Pivots Timeframe 3: Weekly
Fractal Sensitivity: 2-3
Fractal Lookback Period: 20
Prediction Strength: 2
Color Theme: High Contrast or Dark Mode
For Swing Trading (Timeframes 4-hour to Daily)
Pivots Timeframe 1: Daily
Pivots Timeframe 2: Weekly
Pivots Timeframe 3: Monthly
Fractal Sensitivity: 1-2
Fractal Lookback Period: 30
Prediction Strength: 2-3
Color Theme: Default or Dimmed
For Position Trading (Timeframes Daily to Weekly)
Pivots Timeframe 1: Weekly
Pivots Timeframe 2: Monthly
Pivots Timeframe 3: Quarterly
Fractal Sensitivity: 1
Fractal Lookback Period: 50
Prediction Strength: 1
Color Theme: Monochrome or Pastel
Restoring Default Settings
If you've adjusted settings and wish to return to the defaults:
Right-click on the indicator name on your chart
Select "Settings" from the context menu
In the settings dialog, look for the "Reset All" button at the bottom
Confirm the reset when prompted
Alternatively, you can remove the indicator and add it again for a fresh start with default settings.
Advanced Settings Guidance
Visual Appearance
Use Gradient Colors: Enable for better visual differentiation between pivot levels
Color Transparency: 15% provides an optimal balance between visibility and chart clutter
Line Width: 1-2 for cleaner charts, 3+ for enhanced visibility
Fractal Analysis
Enable Fractal Analysis: Keep enabled for prediction capabilities
Fractal Box Spacing: Higher values (5-10) for cleaner displays, lower values (1-3) for more signals
Maximum Forecast Bars: 20 is optimal for most timeframes, adjust higher for longer predictions
Performance Considerations
Enable Self-Optimization: Keep enabled to maintain smooth chart performance
Resource Priority: Use "Balanced" for most computers, "Performance" for older systems
Force Pivot Display: Enable only when checking specific historical periods
Common Setup Mistakes to Avoid
Setting all timeframes too close together (e.g., Daily, Daily, Weekly) reduces the multi-timeframe advantage
Using high fractal sensitivity (4+) on noisy markets creates excessive signals
Setting fractal box spacing too low causes cluttered prediction boxes
Disabling self-optimization may cause performance issues on complex charts
Using incompatible color themes for your chart background reduces visibility
The indicator's power comes from its default 1-year and 3-year Fibonacci pivot settings, which highlight institutional levels while the auto-timeframe setting adapts to your trading horizon. These carefully balanced defaults provide an excellent starting point for most traders.
For optimal results, I recommend making minimal adjustments at first, then gradually customizing settings as you become familiar with the indicator's behavior in your specific markets and timeframes.
Screenshots:
Adaptive Regression Channel [MissouriTim]The Adaptive Regression Channel (ARC) is a technical indicator designed to empower traders with a clear, adaptable, and precise view of market trends and price boundaries. By blending advanced statistical techniques with real-time market data, ARC delivers a comprehensive tool that dynamically adjusts to price action, volatility, volume, and momentum. Whether you’re navigating the fast-paced world of cryptocurrencies, the steady trends of stocks, or the intricate movements of FOREX pairs, ARC provides a robust framework for identifying opportunities and managing risk.
Core Components
1. Color-Coded Regression Line
ARC’s centerpiece is a linear regression line derived from a Weighted Moving Average (WMA) of closing prices. This line adapts its calculation period based on market volatility (via ATR) and is capped between a minimum of 20 bars and a maximum of 1.5 times the user-defined base length (default 100). Visually, it shifts colors to reflect trend direction: green for an upward slope (bullish) and red for a downward slope (bearish), offering an instant snapshot of market sentiment.
2. Dynamic Residual Channels
Surrounding the regression line are upper (red) and lower (green) channels, calculated using the standard deviation of residuals—the difference between actual closing prices and the regression line. This approach ensures the channels precisely track how closely prices follow the trend, rather than relying solely on overall price volatility. The channel width is dynamically adjusted by a multiplier that factors in:
Volatility: Measured through the Average True Range (ATR), widening channels during turbulent markets.
Trend Strength: Based on the regression slope, expanding channels in strong trends and contracting them in consolidation phases.
3. Volume-Weighted Moving Average (VWMA)
Plotted in orange, the VWMA overlays a volume-weighted price trend, emphasizing movements backed by significant trading activity. This complements the regression line, providing additional confirmation of trend validity and potential breakout strength.
4. Scaled RSI Overlay
ARC features a Relative Strength Index (RSI) overlay, plotted in purple and scaled to hover closely around the regression line. This compact display reflects momentum shifts within the trend’s context, keeping RSI visible on the price chart without excessive swings. User-defined overbought (default 70) and oversold (default 30) levels offer reference points for momentum analysis."
Technical Highlights
ARC leverages a volatility-adjusted lookback period, residual-based channel construction, and multi-indicator integration to achieve high accuracy. Its parameters—such as base length, channel width, ATR period, and RSI length—are fully customizable, allowing traders to tailor it to their specific needs.
Why Choose ARC?
ARC stands out for its adaptability and precision. The residual-based channels offer tighter, more relevant support and resistance levels compared to standard volatility measures, while the dynamic adjustments ensure it performs well in both trending and ranging markets. The inclusion of VWMA and scaled RSI adds depth, merging trend, volume, and momentum into a single, cohesive overlay. For traders seeking a versatile, all-in-one indicator, ARC delivers actionable insights with minimal noise.
Best Ways to Use the Adaptive Regression Channel (ARC)
The Adaptive Regression Channel (ARC) is a flexible tool that supports a variety of trading strategies, from trend-following to breakout detection. Below are the most effective ways to use ARC, along with practical tips for maximizing its potential. Adjustments to its settings may be necessary depending on the timeframe (e.g., intraday vs. daily) and the asset being traded (e.g., stocks, FOREX, cryptocurrencies), as each market exhibits unique volatility and behavior.
1. Trend Following
• How to Use: Rely on the regression line’s color to guide your trades. A green line (upward slope) signals a bullish trend—consider entering or holding long positions. A red line (downward slope) indicates a bearish trend—look to short or exit longs.
• Best Practice: Confirm the trend with the VWMA (orange line). Price above the VWMA in a green uptrend strengthens the bullish case; price below in a red downtrend reinforces bearish momentum.
• Adjustment: For short timeframes like 15-minute crypto charts, lower the Base Regression Length (e.g., to 50) for quicker trend detection. For weekly stock charts, increase it (e.g., to 200) to capture broader movements.
2. Channel-Based Trades
• How to Use: Use the upper channel (red) as resistance and the lower channel (green) as support. Buy when the price bounces off the lower channel in an uptrend, and sell or short when it rejects the upper channel in a downtrend.
• Best Practice: Check the scaled RSI (purple line) for momentum cues. A low RSI (e.g., near 30) at the lower channel suggests a stronger buy signal; a high RSI (e.g., near 70) at the upper channel supports a sell.
• Adjustment: In volatile crypto markets, widen the Base Channel Width Coefficient (e.g., to 2.5) to reduce false signals. For stable FOREX pairs (e.g., EUR/USD), a narrower width (e.g., 1.5) may work better.
3. Breakout Detection
• How to Use: Watch for price breaking above the upper channel (bullish breakout) or below the lower channel (bearish breakout). These moves often signal strong momentum shifts.
• Best Practice: Validate breakouts with VWMA position—price above VWMA for bullish breaks, below for bearish—and ensure the regression line’s slope aligns (green for up, red for down).
• Adjustment: For fast-moving assets like crypto on 1-hour charts, shorten ATR Length (e.g., to 7) to make channels more reactive. For stocks on daily charts, keep it at 14 or higher for reliability.
4. Momentum Analysis
• How to Use: The scaled RSI overlay shows momentum relative to the regression line. Rising RSI in a green uptrend confirms bullish strength; falling RSI in a red downtrend supports bearish pressure.
• Best Practice: Look for RSI divergences—e.g., price hitting new highs at the upper channel while RSI flattens or drops could signal an impending reversal.
• Adjustment: Reduce RSI Length (e.g., to 7) for intraday trading in FOREX or crypto to catch short-term momentum shifts. Increase it (e.g., to 21) for longer-term stock trades.
5. Range Trading
• How to Use: When the regression line’s slope is near zero (flat) and channels are tight, ARC indicates a ranging market. Buy near the lower channel and sell near the upper channel, targeting the regression line as the mean price.
• Best Practice: Ensure VWMA hovers close to the regression line to confirm the range-bound state.
• Adjustment: For low-volatility stocks on daily charts, use a moderate Base Regression Length (e.g., 100) and tight Base Channel Width (e.g., 1.5). For choppy crypto markets, test shorter settings.
Optimization Strategies
• Timeframe Customization: Adjust ARC’s parameters to match your trading horizon. Short timeframes (e.g., 1-minute to 1-hour) benefit from lower Base Regression Length (20–50) and ATR Length (7–10) for agility, while longer timeframes (e.g., daily, weekly) favor higher values (100–200 and 14–21) for stability.
• Asset-Specific Tuning:
○ Stocks: Use longer lengths (e.g., 100–200) and moderate widths (e.g., 1.8) for stable equities; tweak ATR Length based on sector volatility (shorter for tech, longer for utilities).
○ FOREX: Set Base Regression Length to 50–100 and Base Channel Width to 1.5–2.0 for smoother trends; adjust RSI Length (e.g., 10–14) based on pair volatility.
○ Crypto: Opt for shorter lengths (e.g., 20–50) and wider widths (e.g., 2.0–3.0) to handle rapid price swings; use a shorter ATR Length (e.g., 7) for quick adaptation.
• Backtesting: Test ARC on historical data for your asset and timeframe to optimize settings. Evaluate how often price respects channels and whether breakouts yield profitable trades.
• Enhancements: Pair ARC with volume surges, key support/resistance levels, or candlestick patterns (e.g., doji at channel edges) for higher-probability setups.
Practical Considerations
ARC’s adaptability makes it suitable for diverse markets, but its performance hinges on proper calibration. Cryptocurrencies, with their high volatility, may require shorter, wider settings to capture rapid moves, while stocks on longer timeframes benefit from broader, smoother configurations. FOREX pairs often fall in between, depending on their inherent volatility. Experiment with the adjustable parameters to align ARC with your trading style and market conditions, ensuring it delivers the precision and reliability you need.
Geometric Momentum Breakout with Monte CarloOverview
This experimental indicator uses geometric trendline analysis combined with momentum and Monte Carlo simulation techniques to help visualize potential breakout areas. It calculates support, resistance, and an aggregated trendline using a custom Geo library (by kaigouthro). The indicator also tracks breakout signals in a way that a new buy signal is triggered only after a sell signal (and vice versa), ensuring no repeated signals in the same direction.
Important:
This script is provided for educational purposes only. It is experimental and should not be used for live trading without proper testing and validation.
Key Features
Trendline Calculation:
Uses the Geo library to compute support and resistance trendlines based on historical high and low prices. The midpoint of these trendlines forms an aggregated trendline.
Momentum Analysis:
Computes the Rate of Change (ROC) to determine momentum. Breakout conditions are met only if the price and momentum exceed a user-defined threshold.
Monte Carlo Simulation:
Simulates future price movements to estimate the probability of bullish or bearish breakouts over a specified horizon.
Signal Tracking:
A persistent variable ensures that once a buy (or sell) signal is triggered, it won’t repeat until the opposite signal occurs.
Geometric Enhancements:
Calculates an aggregated trend angle and channel width (distance between support and resistance), and draws a perpendicular “breakout zone” line.
Table Display:
A built-in table displays key metrics including:
Bullish probability
Bearish probability
Aggregated trend angle (in degrees)
Channel width
Alerts:
Configurable alerts notify when a new buy or sell breakout signal occurs.
Inputs
Resistance Lookback & Support Lookback:
Number of bars to look back for determining resistance and support points.
Momentum Length & Threshold:
Period for ROC calculation and the minimum percentage change required for a breakout confirmation.
Monte Carlo Simulation Parameters:
Simulation Horizon: Number of future bars to simulate.
Simulation Iterations: Number of simulation runs.
Table Position & Text Size:
Customize where the table is displayed on the chart and the size of the text.
How to Use
Add the Script to Your Chart:
Copy the code into the Pine Script editor on TradingView and add it to your chart.
Adjust Settings:
Customize the inputs (e.g., lookback periods, momentum threshold, simulation parameters) to fit your analysis or educational requirements.
Interpret Signals:
A buy signal is plotted as a green triangle below the bar when conditions are met and the state transitions from neutral or sell.
A sell signal is plotted as a red triangle above the bar when conditions are met and the state transitions from neutral or buy.
Alerts are triggered only on the bar where a new signal is generated.
Examine the Table:
The table displays key metrics (breakout probabilities, aggregated trend angle, and channel width) to help evaluate current market conditions.
Disclaimer
This indicator is experimental and provided for educational purposes only. It is not intended as a trading signal or financial advice. Use this script at your own risk, and always perform your own research and testing before using any experimental tools in live trading.
Credit
This indicator uses the Geo library by kaigouthro. Special thanks to Cryptonerds and @Hazzantazzan for their contributions and insights.
Pivot Point Calculator PPC V2 by [KhedrFx]📈 Trade Smarter with the Pivot Point Calculator (PPC) by KhedrFx
Want to spot key price levels and make better trading decisions? The Pivot Point Calculator (PPC) by KhedrFx is your go-to TradingView tool for identifying potential support and resistance zones. Whether you’re a Scalper trader, day trader, swing trader, or long-term investor, this script helps you plan precise entries and exits with confidence.
🔹 How to Use Pivot Points in Trading
📊 Step 1: Identify Key Levels
The PPC automatically plots:
Pivot Point (P): The main level where sentiment shifts between bullish and bearish.
Support Levels (S1, S2, S3): Areas where price may bounce higher.
Resistance Levels (R1, R2, R3): Areas where price may face selling pressure.
These levels act as dynamic price zones, helping you anticipate potential market movements.
🔥 Step 2: Choose Your Trading Strategy
1️⃣ Breakout Trading
Buy when the price breaks above the pivot point (P) with strong momentum.
Sell when the price drops below the pivot point (P) with strong momentum.
Use R1, R2, or R3 as profit targets in an uptrend and S1, S2, or S3 in a downtrend.
2️⃣ Reversal (Bounce) Trading
Buy when the price pulls back to S1, S2, or S3 and shows bullish confirmation (e.g., candlestick patterns like a bullish engulfing or hammer).
Sell when the price rallies to R1, R2, or R3 and shows bearish confirmation (e.g., rejection wicks or a bearish engulfing pattern).
🎯 Step 3: Set Smart Stop-Loss & Take-Profit Levels
Stop-Loss: Place it slightly below support (for buy trades) or above resistance (for sell trades).
Take-Profit: Use the next pivot level as a target.
Extreme Zones: R3 and S3 often signal strong reversals or breakouts—watch them closely!
🚀 How to Get Started
1️⃣ Add the PPC script to your TradingView chart.
2️⃣ Choose a timeframe that fits your strategy (5m, 15m, 30m, 1H, 4H, Daily, or Weekly).
3️⃣ Use the pivot points and support/resistance levels to fine-tune your trade entries, exits, and risk management.
⚠️ Trade Responsibly
This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
💡 Ready to take your trading to the next level? Try the Pivot Point Calculator (PPC) by KhedrFx and start trading with confidence today! 🚀
Rally Base Drop SND Pivots Strategy [LuxAlgo X PineIndicators]This strategy is based on the Rally Base Drop (RBD) SND Pivots indicator developed by LuxAlgo. Full credit for the concept and original indicator goes to LuxAlgo.
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand trading system that detects pivot points based on Rally, Base, and Drop (RBD) candles. This strategy automatically identifies key market structure levels, allowing traders to:
Identify pivot-based supply and demand (SND) zones.
Use fixed criteria for trend continuation or reversals.
Filter out market noise by requiring structured price formations.
Enter trades based on breakouts of key SND pivot levels.
How the Rally Base Drop SND Pivots Strategy Works
1. Pivot Point Detection Using RBD Candles
The strategy follows a rigid market structure methodology, where pivots are detected only when:
A Rally (R) consists of multiple consecutive bullish candles.
A Drop (D) consists of multiple consecutive bearish candles.
A Base (B) is identified as a transition between Rallies and Drops, acting as a pivot point.
The pivot level is confirmed when the formation is complete.
Unlike traditional fractal-based pivots, RBD Pivots enforce stricter structural rules, ensuring that each pivot:
Has a well-defined bullish or bearish price movement.
Reduces false signals caused by single-bar fluctuations.
Provides clear supply and demand levels based on structured price movements.
These pivot levels are drawn on the chart using color-coded boxes:
Green zones represent bullish pivot levels (Rally Base formations).
Red zones represent bearish pivot levels (Drop Base formations).
Once a pivot is confirmed, the high or low of the base candle is used as the reference level for future trades.
2. Trade Entry Conditions
The strategy allows traders to select from three trading modes:
Long Only – Only takes long trades when bullish pivot breakouts occur.
Short Only – Only takes short trades when bearish pivot breakouts occur.
Long & Short – Trades in both directions based on pivot breakouts.
Trade entry signals are triggered when price breaks through a confirmed pivot level:
Long Entry:
A bullish pivot level is formed.
Price breaks above the bullish pivot level.
The strategy enters a long position.
Short Entry:
A bearish pivot level is formed.
Price breaks below the bearish pivot level.
The strategy enters a short position.
The strategy includes an optional mode to reverse long and short conditions, allowing traders to experiment with contrarian entries.
3. Exit Conditions Using ATR-Based Risk Management
This strategy uses the Average True Range (ATR) to calculate dynamic stop-loss and take-profit levels:
Stop-Loss (SL): Placed 1 ATR below entry for long trades and 1 ATR above entry for short trades.
Take-Profit (TP): Set using a Risk-Reward Ratio (RR) multiplier (default = 6x ATR).
When a trade is opened:
The entry price is recorded.
ATR is calculated at the time of entry to determine stop-loss and take-profit levels.
Trades exit automatically when either SL or TP is reached.
If reverse conditions mode is enabled, stop-loss and take-profit placements are flipped.
Visualization & Dynamic Support/Resistance Levels
1. Pivot Boxes for Market Structure
Each pivot is marked with a colored box:
Green boxes indicate bullish demand zones.
Red boxes indicate bearish supply zones.
These boxes remain on the chart to act as dynamic support and resistance levels, helping traders identify key price reaction zones.
2. Horizontal Entry, Stop-Loss, and Take-Profit Lines
When a trade is active, the strategy plots:
White line → Entry price.
Red line → Stop-loss level.
Green line → Take-profit level.
Labels display the exact entry, SL, and TP values, updating dynamically as price moves.
Customization Options
This strategy offers multiple adjustable settings to optimize performance for different market conditions:
Trade Mode Selection → Choose between Long Only, Short Only, or Long & Short.
Pivot Length → Defines the number of required Rally & Drop candles for a pivot.
ATR Exit Multiplier → Adjusts stop-loss distance based on ATR.
Risk-Reward Ratio (RR) → Modifies take-profit level relative to risk.
Historical Lookback → Limits how far back pivot zones are displayed.
Color Settings → Customize pivot box colors for bullish and bearish setups.
Considerations & Limitations
Pivot Breakouts Do Not Guarantee Reversals. Some pivot breaks may lead to continuation moves instead of trend reversals.
Not Optimized for Low Volatility Conditions. This strategy works best in trending markets with strong momentum.
ATR-Based Stop-Loss & Take-Profit May Require Optimization. Different assets may require different ATR multipliers and RR settings.
Market Noise May Still Influence Pivots. While this method filters some noise, fake breakouts can still occur.
Conclusion
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand system that combines:
Pivot-based market structure analysis (using Rally, Base, and Drop candles).
Breakout-based trade entries at confirmed SND levels.
ATR-based dynamic risk management for stop-loss and take-profit calculation.
This strategy helps traders:
Identify high-probability supply and demand levels.
Trade based on structured market pivots.
Use a systematic approach to price action analysis.
Automatically manage risk with ATR-based exits.
The strict pivot detection rules and built-in breakout validation make this strategy ideal for traders looking to:
Trade based on market structure.
Use defined support & resistance levels.
Reduce noise compared to traditional fractals.
Implement a structured supply & demand trading model.
This strategy is fully customizable, allowing traders to adjust parameters to fit their market and trading style.
Full credit for the original concept and indicator goes to LuxAlgo.
Liquidity Sweep Filter Strategy [AlgoAlpha X PineIndicators]This strategy is based on the Liquidity Sweep Filter developed by AlgoAlpha. Full credit for the concept and original indicator goes to AlgoAlpha.
The Liquidity Sweep Filter Strategy is a non-repainting trading system designed to identify liquidity sweeps, trend shifts, and high-impact price levels. It incorporates volume-based liquidation analysis, trend confirmation, and dynamic support/resistance detection to optimize trade entries and exits.
This strategy helps traders:
Detect liquidity sweeps where major market participants trigger stop losses and liquidations.
Identify trend shifts using a volatility-based moving average system.
Analyze volume distribution with a built-in volume profile visualization.
Filter noise by differentiating between major and minor liquidity sweeps.
How the Liquidity Sweep Filter Strategy Works
1. Trend Detection Using Volatility-Based Filtering
The strategy applies a volatility-adjusted moving average system to determine trend direction:
A central trend line is calculated using an EMA smoothed over a user-defined length.
Upper and lower deviation bands are created based on the average price deviation over multiple periods.
If price closes above the upper band, the strategy signals an uptrend.
If price closes below the lower band, the strategy signals a downtrend.
This approach ensures that trend shifts are confirmed only when price significantly moves beyond normal market fluctuations.
2. Liquidity Sweep Detection
Liquidity sweeps occur when price temporarily breaks key levels, triggering stop-loss liquidations or margin call events. The strategy tracks swing highs and lows, marking potential liquidity grabs:
Bearish Liquidity Sweeps – Price breaks a recent high, then reverses downward.
Bullish Liquidity Sweeps – Price breaks a recent low, then reverses upward.
Volume Integration – The strategy analyzes trading volume at each sweep to differentiate between major and minor sweeps.
Key levels where liquidity sweeps occur are plotted as color-coded horizontal lines:
Red lines indicate bearish liquidity sweeps.
Green lines indicate bullish liquidity sweeps.
Labels are displayed at each sweep, showing the volume of liquidated positions at that level.
3. Volume Profile Analysis
The strategy includes an optional volume profile visualization, displaying how trading volume is distributed across different price levels.
Features of the volume profile:
Point of Control (POC) – The price level with the highest traded volume is marked as a key area of interest.
Bounding Box – The profile is enclosed within a transparent box, helping traders visualize the price range of high trading activity.
Customizable Resolution & Scale – Traders can adjust the granularity of the profile to match their preferred time frame.
The volume profile helps identify zones of strong support and resistance, making it easier to anticipate price reactions at key levels.
Trade Entry & Exit Conditions
The strategy allows traders to configure trade direction:
Long Only – Only takes long trades.
Short Only – Only takes short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish trend shift is confirmed.
A bullish liquidity sweep occurs (price sweeps below a key level and reverses).
The trade direction setting allows long trades.
Short Entry:
A bearish trend shift is confirmed.
A bearish liquidity sweep occurs (price sweeps above a key level and reverses).
The trade direction setting allows short trades.
Exit Conditions
Closing a Long Position:
A bearish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Closing a Short Position:
A bullish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Customization Options
The strategy offers multiple adjustable settings:
Trade Mode: Choose between Long Only, Short Only, or Long & Short.
Trend Calculation Length & Multiplier: Adjust how trend signals are calculated.
Liquidity Sweep Sensitivity: Customize how aggressively the strategy identifies sweeps.
Volume Profile Display: Enable or disable the volume profile visualization.
Bounding Box & Scaling: Control the size and position of the volume profile.
Color Customization: Adjust colors for bullish and bearish signals.
Considerations & Limitations
Liquidity sweeps do not always result in reversals. Some price sweeps may continue in the same direction.
Works best in volatile markets. In low-volatility environments, liquidity sweeps may be less reliable.
Trend confirmation adds a slight delay. The strategy ensures valid signals, but this may result in slightly later entries.
Large volume imbalances may distort the volume profile. Adjusting the scale settings can help improve visualization.
Conclusion
The Liquidity Sweep Filter Strategy is a volume-integrated trading system that combines liquidity sweeps, trend analysis, and volume profile data to optimize trade execution.
By identifying key price levels where liquidations occur, this strategy provides valuable insight into market behavior, helping traders make better-informed trading decisions.
Key use cases for this strategy:
Liquidity-Based Trading – Capturing moves triggered by stop hunts and liquidations.
Volume Analysis – Using volume profile data to confirm high-activity price zones.
Trend Following – Entering trades based on confirmed trend shifts.
Support & Resistance Trading – Using liquidity sweep levels as dynamic price zones.
This strategy is fully customizable, allowing traders to adapt it to different market conditions, timeframes, and risk preferences.
Full credit for the original concept and indicator goes to AlgoAlpha.
Trend Zone Moving Averages📈 Trend Zone Moving Averages
The Trend Zone Moving Averages indicator helps traders quickly identify market trends using the 50SMA, 100SMA, and 200SMA. With dynamic background colors, customizable settings, and real-time alerts, this tool provides a clear view of bullish, bearish, and extreme trend conditions.
🔹 Features:
Trend Zones with Dynamic Background Colors
Green → Bullish Trend (50SMA > 100SMA > 200SMA, price above 50SMA)
Red → Bearish Trend (50SMA < 100SMA < 200SMA, price below 50SMA)
Yellow → Neutral Trend (Mixed signals)
Dark Green → Extreme Bullish (Price above all three SMAs)
Dark Red → Extreme Bearish (Price below all three SMAs)
Customizable Moving Averages
Toggle 50SMA, 100SMA, and 200SMA on/off from the settings.
Perfect for traders who prefer a cleaner chart.
Real-Time Trend Alerts
Get instant notifications when the trend changes:
🟢 Bullish Zone Alert – When price enters a bullish trend.
🔴 Bearish Zone Alert – When price enters a bearish trend.
🟡 Neutral Zone Alert – When trend shifts to neutral.
🌟 Extreme Bullish Alert – When price moves above all SMAs.
⚠️ Extreme Bearish Alert – When price drops below all SMAs.
✅ Perfect for Any Market
Works on stocks, forex, crypto, and commodities.
Adaptable for day traders, swing traders, and investors.
⚙️ How to Use: Trend Zone Moving Averages Strategy
This strategy helps traders identify and trade with the trend using the Trend Zone Moving Averages indicator. It works across stocks, forex, crypto, and commodities.
🟢 Bullish Trend Strategy (Green Background)
Objective: Look for buying opportunities when the market is in an uptrend.
Entry Conditions:
✅ Background is Green (Bullish Zone).
✅ Price is above the 50SMA (confirming strength).
✅ Price pulls back to the 50SMA and bounces OR breaks above a key resistance level.
Stop Loss:
🔹 Place below the most recent swing low or just under the 50SMA.
Take Profit:
🔹 First target at the next resistance level or recent swing high.
🔹 Second target if price continues higher—trail stops to lock in profits.
🔴 Bearish Trend Strategy (Red Background)
Objective: Look for shorting opportunities when the market is in a downtrend.
Entry Conditions:
✅ Background is Red (Bearish Zone).
✅ Price is below the 50SMA (confirming weakness).
✅ Price pulls back to the 50SMA and rejects OR breaks below a key support level.
Stop Loss:
🔹 Place above the most recent swing high or just above the 50SMA.
Take Profit:
🔹 First target at the next support level or recent swing low.
🔹 Second target if price keeps falling—trail stops to secure profits.
🌟 Extreme Trend Strategy (Dark Green / Dark Red Background)
Objective: Trade with momentum when the market is in a strong trend.
Entry Conditions:
✅ Dark Green Background → Extreme Bullish: Price is above all three SMAs (strong uptrend).
✅ Dark Red Background → Extreme Bearish: Price is below all three SMAs (strong downtrend).
Trade Execution:
🔹 For longs (Dark Green): Look for breakout entries above resistance or pullbacks to the 50SMA.
🔹 For shorts (Dark Red): Look for breakdown entries below support or rejections at the 50SMA.
Risk Management:
🔹 Use tighter stop losses and trail profits aggressively to maximize gains.
🟡 Neutral Trend Strategy (Yellow Background)
Objective: Avoid trading or wait for a breakout.
What to Do:
🔹 Avoid trading in this zone—price is indecisive.
🔹 Wait for confirmation (background turns green/red) before taking a trade.
🔹 Use alerts to notify you when the trend resumes.
📌 Final Tips
Use this strategy with price action for extra confirmation.
Combine with support/resistance levels to improve accuracy.
Set alerts for trend changes so you never miss an opportunity.
Enjoy!
Auto Draw ToolAuto Draw Tool for TradingView – Trend, Support/Resistance & Fibonacci Indicator ( HIMANSHU AGNIHOTRY)
The Auto Draw Tool is a powerful TradingView indicator that automatically detects trend lines, support & resistance levels, and Fibonacci retracement zones. It helps traders identify key price levels and market trends without manual effort.
🔹 Features
✔ Automatic Support & Resistance Detection – Finds the strongest price levels based on past highs and lows
✔ Trend Line Auto-Plotting – Detects market trends using swing highs and lows
✔ Fibonacci Retracement Levels – Highlights key retracement points for potential reversals
✔ Candlestick Pattern Detection – Identifies bullish and bearish engulfing patterns
✔ Background Alerts for Patterns – Highlights candlestick patterns with color-coded backgrounds
✔ Works on Any Timeframe – Suitable for scalping, swing trading, and long-term investing
🛠 How It Works?
Support & Resistance Levels: The script calculates the highest and lowest price levels within a given lookback period.
Trend Line Identification: It detects swing highs and swing lows to draw automatic trend lines.
Fibonacci Retracement: The script marks important Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) for potential entry and exit points.
Engulfing Candlestick Patterns: It recognizes bullish engulfing and bearish engulfing patterns, which indicate strong buying or selling pressure.
Alerts & Background Highlighting: When an engulfing pattern is detected, the background color changes (green for bullish, red for bearish).
🔔 Alerts & Signals
🚀 Bullish Engulfing Detected: Green background & buy signal alert
🚀 Bearish Engulfing Detected: Red background & sell signal alert
🎯 Who Can Use It?
✅ Day Traders & Scalpers – Quickly identify key price action levels
✅ Swing Traders – Find strong support/resistance and Fibonacci retracement areas
✅ Trend Followers – Confirm trend direction with auto-drawn trend lines
✅ Price Action Traders – Get real-time candlestick pattern alerts
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
OmegaTools - Enhancing Market Clarity with Precision Indicators
OrangeCandle 4EMA 55 + Fib Bands + SignalsThe script is a TradingView indicator that combines three popular technical analysis tools: Exponential Moving Averages (EMAs), Fibonacci bands, and buy/sell signals based on these indicators. Here’s a breakdown of its features:
1. EMA Settings and Calculation:
The script calculates and plots several Exponential Moving Averages (EMAs) on the chart with different lengths:
Short-term EMAs: EMA 9, EMA 13, EMA 21, and EMA 55 (used for tracking short-term price trends).
Long-term EMAs: EMA 100 and EMA 200 (used to analyze longer-term trends).
These EMAs are plotted with different colors to visually distinguish between the short-term and long-term trends.
2. Fibonacci Bands:
The script calculates Fibonacci Bands based on the Average True Range (ATR) and a Simple Moving Average (SMA).
Fibonacci factors (1.618, 2.618, 4.236, 6.854, and 11.090) are used to determine the upper and lower bounds of five Fibonacci bands.
Upper Fibonacci Bands (e.g., fib1u, fib2u) represent resistance levels.
Lower Fibonacci Bands (e.g., fib1l, fib2l) represent support levels.
These bands are plotted with different colors for each level, helping traders identify potential price reversal zones.
3. Buy and Sell Signals:
Long Condition: A buy signal occurs when the price crosses above the EMA 55 (long-term trend indicator) and is above the lower Fibonacci band (support zone).
Short Condition: A sell signal occurs when the price crosses below the EMA 55 and is below the upper Fibonacci band (resistance zone).
These conditions trigger visual signals on the chart (green arrow for long, red arrow for short).
4. Alerts:
The script includes alert conditions to notify the trader when a long or short signal is triggered based on the crossover of price and EMA 55 near the Fibonacci support or resistance levels.
Long Entry Alert: Triggers when the price crosses above the EMA 55 and is near a Fibonacci support level.
Short Entry Alert: Triggers when the price crosses below the EMA 55 and is near a Fibonacci resistance level.
5. Visualization:
EMAs are plotted with distinct colors:
EMA 9 is aqua,
EMA 13 is purple,
EMA 21 is orange,
EMA 55 is blue (with thicker line width for emphasis),
EMA 100 is gray,
EMA 200 is black.
Fibonacci bands are plotted with different colors for each level:
Fib Band 1 (upper and lower) in white,
Fib Band 2 in green (upper) and red (lower),
Fib Band 3 in green (upper) and red (lower),
Fib Band 4 in blue (upper) and orange (lower),
Fib Band 5 in purple (upper) and yellow (lower).
Summary:
This script provides a comprehensive strategy for analyzing the market with multiple EMAs for trend detection, Fibonacci bands for support/resistance, and signals based on price action in relation to these indicators. The combination of these tools can assist traders in making more informed decisions by providing potential entry and exit points on the chart.
GRID EXTENSIONGRID EXTENSION
Overview
The GRID EXTENSION is a simple grid-based indicator for TradingView, built with Pine Script v6. It plots horizontal price levels starting from a user-defined anchor price, with spacing set by a tick increment. Use it to identify key support, resistance, or price zones on charts for Crypto, Forex, or Futures.
Key Features
Custom Grid Levels: Plot up to 22 levels (e.g., 0, 0.25, 1.25, -2.50) with options to show/hide, set values, and choose colors.
Market-Specific Tick Increments: Select your asset type (Crypto, Forex, Futures) and choose from a range of tick increments tailored for each market:
Crypto: 1 to 5000 ticks (e.g., 100 ticks = $0.001 on ADA/USD, 5000 ticks = $50 on BTC/USD).
Forex: 5 to 5000 ticks (e.g., 100 ticks = 1 pip on EUR/USD, 5000 ticks = 50 pips).
Futures: 1 to 2500 ticks (e.g., 25 ticks = 6.25 points on E-mini S&P 500, $312.50 per contract).
Visual Options:
Extend lines to the right.
Show price and level labels (as values or percentages).
Place labels on the left or right.
Adjust background transparency for filled areas between levels.
How to Use
Set Asset Type: Choose "Crypto," "Forex," or "Futures" to match your chart.
Set Anchor Price: Enter a starting price for the grid.
Pick Tick Increment: Select a tick increment from the dropdown, following the guidance for your asset type (see Key Features).
Customize Levels: Turn levels on/off, set values, and pick colors.
Add to Chart: Apply the indicator to see the grid on your chart.
Tips
Use levels to mark support/resistance zones for entries or exits.
Extend lines to project future price zones.
Choose smaller increments (e.g., 5 ticks) for scalping, or larger ones (e.g., 1000 ticks) for swing trading.
Combine with indicators like moving averages for better signals.
Settings
Asset Type: Select "Crypto," "Forex," or "Futures" (default: "Crypto").
Anchor Price: Starting price for the grid (default: 0.0).
Tick Increment: Space between levels (options: 1, 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000). Choose based on asset type.
Extend Right: Extend lines to the right (default: true).
Show Prices: Show price labels (default: true).
Show Levels: Show level values or percentages (default: true).
Format: Display levels as "Values" or "Percent" (default: "Values").
Labels Position: Place labels on "Left" or "Right" (default: "Left").
Background Transparency: Set transparency for filled areas (default: 100, range 0-100).
Level Options: Enable/disable levels, set values, and choose colors.
Notes
Set the anchor price to a key level (like a recent high or low) for best results.
Check the tick increment tooltip to ensure the spacing suits your market type.
Works on any chart, best for clear price trends or ranges.
Acknowledgments
Made with Pine Script v6 for TradingView. This is v1.0—feedback welcome for future updates!
PriorRange v0.3 [OmarxQQQ/dc_77]PriorRangeLevels is a versatile indicator that plots key price levels based on prior period ranges across multiple timeframes. This tool helps traders identify potential support, resistance, and breakout zones by displaying the High, Low, 75%, 50% (EQ), and 25% levels from the previous period.
Key Features:
- Multi-timeframe analysis from 1-minute to Monthly charts
- Time zone flexibility with options for major global markets (NYC, London, Tokyo, etc.)
- Customizable display for each level (High, Low, 75%, EQ, 25%, Open)
- Clean, organized settings interface with grouped options
- Anchor line marking the start of prior periods
- Current period open price reference
How It Works:
The indicator detects new periods based on your selected timeframe and calculates the range of the previous period. It then plots horizontal lines at the High, Low, and three internal levels (75%, 50%, 25%) extending forward by your specified number of bars. These levels serve as potential support/resistance zones and decision points for your trading strategy.
Trading Applications:
- Use High/Low levels as potential breakout targets or reversal zones
- Monitor price reaction to the EQ (50%) level to gauge trend strength
- Identify intraday support/resistance based on previous period ranges
- Plan entries and exits around established market structure
Each component can be individually customized with different line styles, colors, and widths to match your chart preferences and analytical needs.
Originally created by @dc_77 with enhanced organization, multi-timeframe capabilities, and improved user interface. As Requested by many people.
populi a populo pro populo
GLGT
Order Blocks-[B.Balaei]Order Blocks -
**Description:**
The Order Blocks - indicator is a powerful tool designed to identify and visualize Order Blocks on your chart. Order Blocks are key levels where significant buying or selling activity has occurred, often acting as support or resistance zones. This indicator supports multiple timeframes (MTF), allowing you to analyze Order Blocks from higher timeframes directly on your current chart.
**Key Features:**
1. **Multi-Timeframe Support**: Choose any timeframe (e.g., Daily, Weekly) to display Order Blocks from higher timeframes.
2. **Customizable Sensitivity**: Adjust the sensitivity to detect more or fewer Order Blocks based on market conditions.
3. **Bullish & Bearish Order Blocks**: Clearly distinguishes between bullish (green) and bearish (red) Order Blocks.
4. **Alerts**: Get notified when price enters a Bullish or Bearish Order Block zone.
5. **Customizable Colors**: Personalize the appearance of Order Blocks to match your chart style.
**How to Use:**
1. Add the indicator to your chart.
2. Select your desired timeframe from the "Multi-Timeframe" settings.
3. Adjust the sensitivity and colors as needed.
4. Watch for Order Blocks to form and use them as potential support/resistance levels.
**Ideal For:**
- Swing traders and position traders looking for key levels.
- Traders who use multi-timeframe analysis.
- Anyone interested in understanding market structure through Order Blocks.
**Note:**
This indicator is for educational and informational purposes only. Always conduct your own analysis before making trading decisions.
**Enjoy trading with Order Blocks - !**
Supertrend and Fast and Slow EMA StrategyThis strategy combines Exponential Moving Averages (EMAs) and Average True Range (ATR) to create a simple, yet effective, trend-following approach. The strategy filters out fake or sideways signals by incorporating the ATR as a volatility filter, ensuring that trades are only taken during trending conditions. The key idea is to buy when the short-term trend (Fast EMA) aligns with the long-term trend (Slow EMA), and to avoid trades during low volatility periods.
How It Works:
EMA Crossover:
1). Buy Signal: When the Fast EMA (shorter-term, e.g., 20-period) crosses above the Slow EMA (longer-term, e.g., 50-period), this indicates a potential uptrend.
2). Sell Signal: When the Fast EMA crosses below the Slow EMA, this indicates a potential downtrend.
ATR Filter:
1). The ATR (Average True Range) is used to measure market volatility.
2). Trending Market: If the ATR is above a certain threshold, it indicates high volatility and a trending market. Only when ATR is above the threshold will the strategy generate buy/sell signals.
3). Sideways Market: If ATR is low (sideways or choppy market), the strategy will suppress signals to avoid entering during non-trending conditions.
When to Buy:
1). Condition 1: The Fast EMA crosses above the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, indicating that the market is trending (not sideways or choppy).
When to Sell:
1). Condition 1: The Fast EMA crosses below the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, confirming that the market is in a downtrend.
When Not to Enter the Trade:
1). Sideways Market: If the ATR is below the threshold, signaling low volatility and sideways or choppy market conditions, the strategy will not trigger any buy or sell signals.
2). False Crossovers: In low volatility conditions, price action tends to be noisy, which could lead to false signals. Therefore, avoiding trades during these periods reduces the risk of false breakouts.
Additional Factors to Consider Adding:
=> RSI (Relative Strength Index): Adding an RSI filter can help confirm overbought or oversold conditions to avoid buying into overextended moves or selling too low.
1). RSI Buy Filter: Only take buy signals when RSI is below 70 (avoiding overbought conditions).
2). RSI Sell Filter: Only take sell signals when RSI is above 30 (avoiding oversold conditions).
=> MACD (Moving Average Convergence Divergence): Using MACD can help validate the strength of the trend.
1). Buy when the MACD histogram is above the zero line and the Fast EMA crosses above the Slow EMA.
2). Sell when the MACD histogram is below the zero line and the Fast EMA crosses below the Slow EMA.
=> Support/Resistance Levels: Adding support and resistance levels can help you understand market structure and decide whether to enter or exit a trade.
1). Buy when price breaks above a significant resistance level (after a valid buy signal).
2). Sell when price breaks below a major support level (after a valid sell signal).
=> Volume: Consider adding a volume filter to ensure that buy/sell signals are supported by strong market participation. You could only take signals if the volume is above the moving average of volume over a certain period.
=> Trailing Stop Loss: Instead of a fixed stop loss, use a trailing stop based on a percentage or ATR to lock in profits as the trade moves in your favor.
=> Exit Signals: Besides the EMA crossover, consider adding Take Profit or Stop Loss levels, or even using a secondary indicator like RSI to signal an overbought/oversold condition and exit the trade.
Example Usage:
=> Buy Example:
1). Fast EMA (20-period) crosses above the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is below 70, the buy signal is further confirmed as not being overbought.
=> Sell Example:
1). Fast EMA (20-period) crosses below the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is above 30, the sell signal is further confirmed as not being oversold.
Conclusion:
This strategy helps to identify trending markets and filters out sideways or choppy market conditions. By using Fast and Slow EMAs combined with the ATR volatility filter, it provides a reliable approach to catching trending moves while avoiding false signals during low-volatility, sideways markets.
NFP High/Low Levels PlusNFP High/Low Levels Plus
Description:
This indicator stores the 12 most recent NFP (Non-Farm-Payroll) days and their values.
Values are captured from 0830 (NFP Release) until close of market
The High and Low values for each NFP month are drawn on the chart with horizontal lines.
- Labels indicating the month's high or low line are placed after the line
- Optionally the high/low price can be displayed additionally
Support and Resistance boxes can be drawn at the closest NFP level above and below the
current price.
- Boxes will automatically update as prices cross the NFP value
Macro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Macro Indicator can be used to judge the potential direction for the current month
- Macro direction is calculated by the following:
- UP: If two consecutive days both open and close above the most recent NFP High level
- DOWN: If two consecutive days both open and close below the most recent NFP Low level
Micro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Micro Indicator can be used to judge the potential direction for low timeframes 1H or
lower
- Micro direction is calculated by the following:
- UP: If two consecutive 10m candles close above the 20EMA
- DOWN: If two consecutive 10m candles close below the 20EMA
NFP Session Bars
- This feature draws an arrow at the bottom of the chart for each candle that falls within the
NFP session day
- This is useful for identifying NFP Days
Support / Resistance Table
- This displays a table bottom center showing the nearest high and low NFP line level
What is an NFP Day and why is it useful to add to my chart?
- NFP Days are one of the most important data releases monthly
- NFP (Non-Farm-Payroll) is the official release of 80% of the US workforce employed in
manufacturing, construction, and goods
- It does not include those who work on farms, private households, non-profit and
government workers
- Historically these high/low levels for the day create strong support and resistance levels
- Having them displayed on the chart can help identify potential strong levels and pivot points
Full Indicator with all options enabled and identified
Easily update NFP Release Days in the indicator settings
Modify various options: Show/Hide lines, labels, directional indicator tables, values tables
Adjust line width, offsets, colors, font sizes, box widths
Enable individual Directional Indicators and modify colors
Example of full indicator enabled
You can find a list of the NFP Release Schedule on the official US Bureau of Labor Statistics website. This is useful for updating the indicator settings with the correct dates
Heatmap Suite [PhenLabs]📊 Heatmap Suite
Version: PineScript™ v6
📌 Description
The Heatmap Suite is an advanced technical analysis tool that combines multiple density calculation methods with dynamic visualization to identify significant price levels and trading activity zones. It features a sophisticated analysis system that processes price and volume data through various kernel methods, providing traders with insights into market structure, support/resistance zones, and potential price reaction areas.
🚀 Points of Innovation:
Multi-method density calculation incorporating three distinct approaches
Adaptive visualization system with dynamic color gradients
Real-time dashboard with key market metrics
Significant level detection with automatic threshold adjustment
🚨 Important🚨
🔸Comprehensive tooltips included in the PhenLabs dashboard for in depth guidance
🔧 Core Components
Density Analysis: Multiple calculation methods for price distribution assessment
Heat Mapping: Dynamic visualization of price congestion zones
Level Detection: Automatic identification of significant price levels
Dashboard System: Real-time market metrics and analysis
🔥 Key Features
The indicator provides comprehensive analysis through:
Kernel Density: Traditional balanced view of price distribution
Exponential Kernel: Time-weighted analysis emphasizing recent price action
Volume-Weighted: Focus on high-volume price areas
Significant Levels: Automatic detection of important price zones
Heat Distribution: Color-coded visualization of price congestion
🎨 Visualization
Heat Zones: Shows intensity of price activity
Significant Lines: Key level indicators
Color Gradients: Indicates density strength
Dashboard Display: Real-time metrics
Dynamic Opacity: Reflects density intensity
📖 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Calculation Method: Choose between three density calculation approaches
Lookback Period: Analysis timeframe adjustment
Zone Count: Price range division granularity
Heat Sensitivity: Contrast adjustment for visualization
🎛️ Visual Settings:
Dashboard Size: Text size customization
Position: Dashboard placement options
Color Scheme: Heat map gradient visualization
Level Display: Significant price zone indicators
✅ Best Use Cases:
Identify strong support/resistance zones through high-density areas
Spot potential price reversal zones at significant levels
Analyze price congestion patterns
Monitor real-time changes in market structure
⚠️ Limitations
Requires sufficient historical data
Computational intensity increases with longer lookback periods
Heat sensitivity needs adjustment based on market conditions
Dashboard placement may need adjustment based on price action
💡 What Makes This Unique
Multi-method Analysis: Three distinct calculation approaches
Adaptive Visualization: Dynamic color gradient system
Real-time Metrics: Comprehensive dashboard display
Automatic Level Detection: Significant price zone identification
Memory-efficient Design: Optimized calculation methods
🔬 How It Works
The indicator processes market data through four main components:
1. Density Calculation:
Processes price and volume data
Applies selected kernel method
Generates density distribution
2. Heat Mapping:
Converts density values to color gradients
Updates visualization in real-time
Displays price congestion zones
3. Level Detection:
Identifies significant price levels
Applies threshold filtering
Marks important zones
4. Dashboard Updates:
Calculates real-time metrics
Updates display components
Provides market context
💡Note:
The indicator performs best with adequate historical data and proper sensitivity settings. Its sophisticated density analysis provides valuable insights into market structure beyond traditional support/resistance indicators.
Gradient Trend Filter [ChartPrime]The Gradient Trend Filter is a dynamic trend analysis tool that combines a noise-filtered trend detection system with a color-gradient cloud. It provides traders with a visual representation of trend strength, momentum shifts, and potential reversals.
⯁ KEY FEATURES
Trend Noise Filtering
Uses an advanced smoothing function to filter market noise and produce a more reliable trend representation.
// Noise filter function
noise_filter(src, length) =>
alpha = 2 / (length + 1)
nf_1 = 0.0
nf_2 = 0.0
nf_3 = 0.0
nf_1 := (alpha * src) + ((1 - alpha) * nz(nf_1 ))
nf_2 := (alpha * nf_1) + ((1 - alpha) * nz(nf_2 ))
nf_3 := (alpha * nf_2) + ((1 - alpha) * nz(nf_3 ))
nf_3 // Final output with three-stage smoothing
Color-Based Trend Visualization
The mid-line changes color based on trend direction—green for uptrends and red for downtrends—making it easy to identify trends at a glance.
Orange diamond markers appear when a trend shift is confirmed, providing actionable signals for traders.
Gradient Color Trend Cloud
A cloud around the base trend line that dynamically changes color, often signaling trend shifts ahead of the main trend line.
When in a downtrend, if the cloud starts turning green, it suggests weakening bearish momentum or an upcoming bullish reversal. Conversely, when in an uptrend, a red cloud indicates potential trend weakening or a bearish reversal.
Multi-Layered Trend Bands
The cloud consists of multiple bands, offering a range of support and resistance zones that traders can use for confluence in decision-making.
⯁ HOW TO USE
Identify Trend Strength & Reversals
Use the mid-line and cloud color changes to assess the strength of a trend and spot early signs of reversals.
Monitor Momentum Shifts
Watch for gradient cloud color shifts before the trend line changes color, as this can indicate early weakening or strengthening of momentum.
Act on Trend Shift Markers
Use the orange diamonds as confirmation of trend shifts and potential trade entry or exit points.
Utilize Cloud Bands as Support/Resistance
The outer bands of the cloud act as dynamic support and resistance, helping traders refine their stop-loss and take-profit placements.
⯁ CONCLUSION
The Gradient Trend Filter is an advanced trend detection tool designed for traders looking to anticipate trend shifts with greater precision. By integrating a noise-filtered trend line with a gradient-based trend cloud, this indicator enhances traders' ability to navigate market trends effectively.
