Smart Trend Lines [The_lurker]
Smart Trend Lines
A multi-level trend classifier that detects bullish and bearish conditions using a methodology based on drawing trend lines—main, intermediate, and short-term—by identifying peaks and troughs. The tool highlights trend strength by applying filters such as the Average Directional Index (ADX) (A), Relative Strength Index (RSI) (R), and Volume (V), making it easier to interpret trend strength. The filter markers (V, A, R) in the Smart Trend Lines indicator are powerful tools for assessing the reliability of breakouts. Breakouts containing are the most reliable, as they indicate strong volume support, trend strength, and favorable momentum. Breakouts with partial filters (such as or ) require additional confirmation, while breakouts without filters ( ) should be avoided unless supported by other strong signals. By understanding the meaning of each filter and the market context.
Core Functionality
1. Trend Line Types
The indicator generates three distinct trend line categories, each serving a specific analytical purpose:
Main Trend Lines: These are long-term trend lines designed to capture significant market trends. They are calculated based on pivot points over a user-defined period (default: 50 bars). Main trend lines are ideal for identifying macro-level support and resistance zones.
Mid Trend Lines: These are medium-term trend lines (default: 21 bars) that focus on intermediate price movements. They provide a balance between short-term fluctuations and long-term trends, suitable for swing trading strategies.
Short Trend Lines: These are short-term trend lines (default: 9 bars) that track rapid price changes. They are particularly useful for scalping or day trading, highlighting immediate support and resistance levels.
Each trend line type can be independently enabled or disabled, allowing traders to tailor the indicator to their preferred timeframes.
2. Breakout Detection
The indicator employs a robust breakout detection system that identifies when the price crosses a trend line, signaling a potential trend reversal or continuation. Breakouts are validated using the following filters:
ADX Filter: The Average Directional Index (ADX) measures trend strength. A user-defined threshold (default: 20) ensures that breakouts occur during strong trends, reducing false signals in range-bound markets.
RSI Filter: The Relative Strength Index (RSI) identifies overbought or oversold conditions. Breakouts are filtered based on RSI thresholds (default: 65 for overbought, 35 for oversold) to avoid signals in extreme market conditions.
Volume Filter: Breakouts are confirmed only when trading volume exceeds a moving average (default: 20 bars) and aligns with the breakout direction (e.g., higher volume on bullish breakouts when the candle closes higher).
Breakout events are marked with labels on the chart, indicating the type of trend line broken (Main, Mid, or Short) and the filters satisfied (Volume, ADX, RSI). Alerts are triggered for each breakout, providing real-time notifications.
3. Customization Options
The indicator offers extensive customization through input settings, organized into logical groups for ease of use:
Main Trend Line Settings
Length: Defines the number of bars used to calculate pivot points (default: 50).
Bullish Color: Color for upward-sloping (bullish) main trend lines (default: green).
Bearish Color: Color for downward-sloping (bearish) main trend lines (default: red).
Style: Line style options include solid, dashed, or dotted (default: solid).
Mid Trend Line Settings
Length: Number of bars for mid-term pivot points (default: 21).
Show/Hide: Toggle visibility of mid trend lines (default: enabled).
Bullish Color: Color for bullish mid trend lines (default: lime).
Bearish Color: Color for bearish mid trend lines (default: maroon).
Style: Line style (default: dashed).
Short Trend Line Settings
Length: Number of bars for short-term pivot points (default: 9).
Show/Hide: Toggle visibility of short trend lines (default: enabled).
Bullish Color: Color for bullish short trend lines (default: teal).
Bearish Color: Color for bearish short trend lines (default: purple).
Style: Line style (default: dotted).
General Display Settings
Break Check Price: Selects the price type for breakout detection (Close, High, or Low; default: Close).
Show Previous Trendlines: Option to display historical main trend lines (default: disabled).
Label Size: Size of breakout labels (Tiny, Small, Normal, Large, Huge; default: Small).
Filter Settings
ADX Threshold: Minimum ADX value for trend strength confirmation (default: 25).
Volume MA Period: Period for the volume moving average (default: 20).
RSI Filter: Enable/disable RSI filtering (default: enabled).
RSI Upper Threshold: Upper RSI limit for overbought conditions (default: 65).
RSI Lower Threshold: Lower RSI limit for oversold conditions (default: 35).
4. Technical Calculations
The indicator relies on several technical calculations to ensure accuracy:
Pivot Points: Pivot highs and lows are detected using the ta.pivothigh and ta.pivotlow functions, with separate lengths for Main, Mid, and Short trend lines.
Slope Calculation: The slope of each trend line is calculated as the change in price divided by the change in bar index between two pivot points.
ADX Calculation: ADX is computed using a 14-period Directional Movement Index (DMI), with smoothing over 14 bars.
RSI Calculation: RSI is calculated over a 14-period lookback using the ta.rsi function.
Volume Moving Average: A simple moving average (SMA) of volume is used to determine if current volume exceeds the average.
5. Strict Mode Validation
To ensure the reliability of trend lines, the indicator employs a strict mode check:
For bearish trend lines, all prices between pivot points must remain below the projected trend line.
For bullish trend lines, all prices must remain above the projected trend line.
Post-pivot break checks ensure that no breakouts occur between pivot points, enhancing the validity of the trend line.
6. Trend Line Extension
Trend lines are dynamically extended forward until a breakout occurs. The extension logic:
Projects the trend line using the calculated slope.
Continuously validates the extension using strict mode checks.
Stops extension upon a breakout, fixing the trend line at the breakout point.
7. Alerts and Labels
Labels: Breakout labels are placed above (for bearish breakouts) or below (for bullish breakouts) the price bar. Labels include:
A prefix indicating the trend line type (B for Main, M for Mid, S for Short).
A suffix showing satisfied filters (e.g., for Volume, ADX, and RSI).
Alerts: Each breakout triggers a one-time alert per bar close, with a descriptive message indicating the trend line type and filters met.
Detailed Code Breakdown
1. Initialization and Inputs
The script begins by defining the indicator with indicator('Smart Trend Lines ', overlay = true), ensuring it overlays on the price chart. Input settings are grouped into categories (Main, Mid, Short, General Display, Filters) for user convenience. Each input includes a tooltip in both English and Arabic, enhancing accessibility.
2. Technical Indicator Calculations
Volume MA: Calculated using ta.sma(volume, volPeriod) to compare current volume against the average.
ADX: Computed using custom dirmov and adx functions, which calculate the Directional Movement Index and smooth it over 14 periods.
RSI: Calculated with ta.rsi(close, rsiPeriod) over 14 periods.
Price Selection: The priceToCheck function selects the price type (Close, High, or Low) for breakout detection.
3. Pivot Detection
Pivot points are detected using ta.pivothigh and ta.pivotlow for each trend line type. The lookback period is set to the respective trend line length (e.g., 50 for Main, 21 for Mid, 9 for Short).
4. Trend Line Logic
For each trend line type (Main, Mid, Short):
Bearish Trend Lines: Identified when two consecutive pivot highs form a downward slope. The script validates the trend line using strict mode and post-pivot break checks.
Bullish Trend Lines: Identified when two consecutive pivot lows form an upward slope, with similar validation.
Trend lines are drawn using line.new, with separate lines for the initial segment (between pivots) and the extended segment (from the second pivot forward).
5. Breakout Detection and Labeling
Breakouts are detected when the selected price crosses the trend line level. The script checks:
Volume conditions (above average and aligned with candle direction).
ADX condition (above threshold).
RSI condition (within thresholds if enabled). Labels are created with label.new, and alerts are triggered with alert.
6. Trend Line Extension
The extendTrendline function dynamically updates the trend line’s endpoint unless a breakout occurs. It uses strict mode checks to ensure the trend line remains valid.
7. Previous Trend Lines
If enabled, previous main trend lines are stored in arrays (previousBearishStartLines, previousBullishTrendLines, etc.) and displayed on the chart, providing historical context.
Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Centered Oscillators
[blackcat] L3 Market Pulse InsightOVERVIEW
The L3 Market Pulse Insight provides comprehensive analytics by evaluating key price metrics to reveal critical market sentiment and potential trade opportunities 📊🔍. This advanced indicator leverages proprietary calculations involving Simple Moving Averages (SMAs), Exponential Moving Averages (EMAs), and custom thresholds to deliver detailed insights into current market dynamics 🚀✨.
By plotting various lines representing core fundamentals and directional cues, traders gain visibility into underlying trends and shifts within the market pulse. The visual aids simplify complex data interpretation, making it easier for users to make strategic decisions based on clear, actionable information ✅⛈️.
FEATURES
Advanced Calculation Techniques:
Employs sophisticated formulas integrating SMAs and EMAs for precise trend analysis.
Incorporates fundamental lines and confirmations based on recent price extremes.
Comprehensive Visualization:
Plots multiple informational lines: Fundamental Line, Thresholds, Institutional Directions, etc., each reflecting unique aspects of price behavior.
Uses distinct colors for easy differentiation between bearish and bullish indications.
Customizable Alerts:
Generates "Buy" and "Sell" labels at pivotal moments, highlighting entry/exit points visually.
Offers flexibility to modify alert styles and positions according to user preferences.
Dynamic Adaptability:
Continuously updates plots and alerts based on incoming real-time data for timely responses.
Provides dynamic support/resistance levels adapting to evolving market conditions.
HOW TO USE
Installing the Indicator:
To start using the L3 Market Pulse Insight, add it via the Pine Editor on TradingView:
Open the editor from the bottom panel.
Copy-paste the provided script code.
Click “Add to Chart” after pasting.
Understanding Key Lines:
Familiarize yourself with what each plotted line signifies:
Fundamental Line: Represents core price movements adjusted through SMA transformations.
Low Confirmation & Warnings: Provide early signals about potential reversals or continuation scenarios.
Threshold B: Acts as a significant barrier indicating overbought/sold conditions.
Institutional Directions: Offer insights into larger player activities and intentions.
Interpreting Signals:
Pay close attention to generated "Buy" and "Sell" labels appearing directly on your chart:
"Buy" Label: Indicates favorable momentum crossing from below the confirmation level upwards.
"Sell" Label: Suggests bearish transitions when moving beneath set thresholds.
Adjusting Parameters:
While this version primarily uses default settings derived from optimal testing ranges, feel free to experiment:
Modify lookback periods in SMA/EMA functions if different timeframes align better with your strategy.
Customize plot colors/styles for enhanced readability and personal taste.
Integrating with Other Tools:
Enhance the reliability of signals produced by combining them with complementary indicators like RSI, MACD, or volume profiles for thorough validation.
Continuous Monitoring:
Regularly review performance and refine strategies incorporating insights gathered from L3 Market Pulse Insight across varying markets and assets.
LIMITATIONS
Data Dependency: Performance heavily relies on accurate historical data without anomalies.
Market Conditions Variability: Effectiveness may vary during extreme volatility or thin liquidity environments.
Parameter Fine-Tuning: Optimal configuration might differ significantly across instruments; continuous adjustments are necessary.
No Guarantees: Like any tool, this doesn't ensure profits and should be part of a broader analytical framework.
NOTES
Ensure solid grounding in technical analysis principles before deploying solely upon these insights.
Utilize backtesting rigorously under diverse market cycles to assess robustness thoroughly.
Consider external factors such as economic reports, geopolitical events influencing asset prices beyond purely statistical models.
Maintain discipline adhering predefined risk management protocols regardless of signal strength displayed here.
THANKS
We appreciate every member's contributions who have engaged actively throughout our development journey, offering constructive feedback driving improvements continually 🙏. Together we strive toward creating ever-more robust tools empowering traders worldwide!
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
[blackcat] L1 Swing Reversal IndexOVERVIEW
The indicator is crafted to assist traders in identifying potential swing reversal points within various markets 📈✨. This sophisticated tool combines elements from price deviations, smoothed moving averages, and relative strength indices (RSIs) to generate actionable trade signals, making it easier for users to spot lucrative entry/exit opportunities. By visualizing key market conditions through customizable plots and labels, this indicator simplifies complex analyses into straightforward decisions.
Ideal for day traders or swing traders looking to capitalize on short-to-medium-term trends, the offers invaluable insights into market sentiment changes enabling precise timing of trades.
FEATURES
Dynamic Price Deviation Calculation: Computes adaptive price deviations considering both typical prices and volatility metrics.
Smoothed Deviations: Utilizes dual-smoothing techniques ensuring accurate reflection of underlying trends without excessive noise interference.
Enhanced RSI Integration: Includes a modified version of Relative Strength Index providing clearer overbought/oversold conditions.
Visual Signal Representation:
Colored columns indicating bullish/bearish pressure levels directly on the chart.
Dynamic labels marking specific buy/sell conditions enhancing clarity.
Customizable Parameters: Allows tweaking smoothing, volatility, and RSI periods according to user preferences facilitating tailored usage.
Alert Notifications: Supports real-time alerts via TradingView’s integrated system keeping traders informed promptly ✅🔔.
HOW TO USE
Script Setup:
Save the provided code under Indicators > Add Custom Indicator in your TradingView workspace.
Name appropriately and activate across desired charts.
Parameter Adjustments:
Configure Smoothing, Volatility, and RSI periods based on preferred trading styles or asset characteristics:
Shorter durations suit fast-paced environments while longer ones align better with slower-moving assets.
Experiment iteratively optimizing settings maximizing accuracy for specific needs.
Interpreting Plots/Labels:
Observe colored columns representing current market sentiment:
Green columns signify bullish momentum suggesting possible buying opportunities.
Red columns indicate bearish tendencies hinting at selling chances.
Note dynamic "BUY" & "SELL" labels triggered under predefined criteria guiding timely actions.
Incorporating Signals:
Integrate these generated cues within broader strategies leveraging support/resistance lines, volume data, etc., ensuring robust validation before executing trades.
Cross-reference alongside other complementary tools (e.g., MACD, Bollinger Bands) for added confirmation bolstering decision-making confidence.
Setting Up Alerts:
Enable alert notifications corresponding to crucial conditions ensuring timely updates via TradingView’s notification infrastructure.
Fine-tune alert messages reflecting personal requirements maintaining seamless workflow integration.
Testing & Validation:
Conduct thorough backtesting employing historical datasets verifying effectiveness amidst varying market scenarios.
Continuously refine parameter configurations enhancing overall performance mitigating false positives/negatives.
EXAMPLE SCENARIOS
Short-Term Trades: Capitalize on fleeting reversals by focusing primarily on shorter-period RSIs combined with swift price deviation movements.
Swing Strategies: Utilize medium-range settings identifying intermediate trend shifts maximizing profit potentials while minimizing risks.
LIMITATIONS
Accuracy relies heavily upon correctly configured inputs; hence regular re-evaluation aligning evolving dynamics proves imperative.
Excessive dependence solely on this metric might lead to missed opportunities during sideways/choppy phases necessitating additional confirmatory indicators.
Always complement outputs with fundamental analyses securing comprehensive perspectives effectively managing associated risks.
NOTES
Educational Insights: Gain deeper understanding exploring underlying principles behind price deviations and their role in technical analysis fostering better comprehension.
Risk Management Protocols: Employ strict risk management practices encompassing stop-loss/profit targets preserving capital integrity amid unpredictable market fluctuations.
Continuous Learning: Stay abreast exploring emerging financial landscapes incorporating innovative methodologies augmenting script utility and relevance.
THANKS
Thanks go out to everyone contributing towards refining and improving this script. Your valuable feedback fuels ongoing enhancements propelling superior trading experiences!
Forex Fire Sling Shot with Trade ManagementForex Fire Sling Shot Indicator with Trade Management
Description
The Forex Fire Sling Shot Indicator is a comprehensive trading system designed specifically for forex markets. It combines trend analysis, momentum confirmation, and advanced trade management features to help traders identify high-probability trading opportunities.
This indicator provides clear entry signals based on multiple EMA crossovers with MACD confirmation, while incorporating professional trade management tools including automatic stop loss calculation, take profit targets, and breakeven management.
Key Features
Triple EMA Trend Analysis: Uses 15, 50, and 200 EMAs to identify trend direction and entry points
MACD Confirmation: Optional MACD filter for enhanced signal reliability
Premium Signals: Strict entry criteria combining EMA crossover with MACD crossover
Automatic Trade Management: Calculates entry, stop loss, and take profit levels
Breakeven Management: Automatically adjusts stop loss to breakeven at predetermined profit levels
Visual Trade Setup: Displays trade management levels with clear labels
Status Dashboard: Real-time display of current market conditions
Alert System: Built-in alerts for premium trading signals
How to Use
Setup
Add the indicator to any forex chart (recommended timeframes: 1H, 4H, Daily)
Ensure your chart is clean without overlapping indicators
Configure input parameters according to your trading style
Signal Identification
Premium Buy Signal (Diamond Below Bar)
15 EMA crosses above 50 EMA
Price is above 200 EMA (bullish trend)
MACD line crosses above signal line
Green diamond appears below candle
Premium Sell Signal (Diamond Above Bar)
15 EMA crosses below 50 EMA
Price is below 200 EMA (bearish trend)
MACD line crosses below signal line
Fuchsia diamond appears above candle
Trade Execution
When a premium signal appears:
Entry:
Buy: Place order above the signal candle's high
Sell: Place order below the signal candle's low
Stop Loss:
Buy: Lowest low of the past 5 candles (adjustable)
Sell: Highest high of the past 5 candles (adjustable)
Take Profit:
Automatically calculated based on your Risk-Reward ratio (default 1:1.5)
Breakeven Management:
Stop loss moves to breakeven when trade reaches 50% of target (adjustable)
Input Parameters
EMA Settings
Short EMA Period (default: 15)
Long EMA Period (default: 50)
Trend EMA Period (default: 200)
MACD Settings
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Require MACD Confirmation (default: true)
Trade Management
Risk-Reward Ratio (default: 1.5)
Stop Loss Lookback Candles (default: 5)
Move SL to Breakeven at % of TP (default: 0.5)
Show Trade Management Labels (default: true)
Alert Settings
Enable Premium Signal Alerts (default: true)
Status Dashboard
The top-right dashboard displays:
MACD Signal status (Bullish/Bearish/Cross)
Overall Trend direction
Current Signal status
Trade Setup details (if active)
Risk-Reward information
Breakeven status
Visual Elements
Green Line: 15 EMA (Fast)
Red Line: 50 EMA (Medium)
Black Line: 200 EMA (Trend)
Yellow Lines: Entry levels
Red Lines: Stop loss levels
Green Lines: Take profit levels
Blue Lines: Breakeven levels
Purple Lines: Breakeven trigger levels
Trading Tips
Only trade premium signals in the direction of the trend (above/below 200 EMA)
Wait for candle close before entering trades
Use higher timeframes for better signal reliability (4H, Daily)
Consider market sessions and major news events
Always use proper position sizing based on your account risk
Risk Disclaimer
This indicator is for educational and informational purposes only. Trading forex involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and risk management.
Updates and Support
The indicator includes built-in alerts for premium signals. To set up alerts:
Right-click on the chart
Select "Add Alert"
Choose "Forex Fire Sling Shot with Trade Management"
Select either "Premium Fire Sling Shot Buy" or "Premium Fire Bear Sling Sell"
For questions or support, please use the comments section below the indicator.
Adaptive Momentum Oscillator [LuxAlgo]The Adaptive Momentum Oscillator tool allows traders to measure the current relative momentum over a given period using the maximum delta in price.
It features a histogram with gradient color, divergences, and an adaptive moving average that allows traders to clearly see the smoothed trend direction.
🔶 USAGE
This unbounded oscillator has positive momentum when values are above 0 and negative momentum when values are below 0. The adaptive moving average is used as a minimum lag smoothing tool over the momentum histogram.
🔹 Signal Line
There are two main uses for the signal line drawn on the chart above.
Momentum crosses above or below the signal line: acceleration in momentum.
Signal line crosses the 0 value: positive or negative momentum.
🔹 Data Length
On the chart above, we can compare different length sizes and how the tool values change, allowing traders to get a shorter or longer-term view of current market strength.
🔹 Smoothing Length
In the previous figure, we can compare how different Smoothing Length values affect the oscillator output.
🔹 Divergences
The divergence detector is disabled by default. Traders can enable it and adjust the divergence length from the settings panel.
As we can see in the chart above, by changing the length of the divergences, traders can fine-tune their detection, a small number will detect smaller divergences, and use a larger number for larger divergences.
🔶 SETTINGS
Data: Select data source, close price by default
Data Length: Select the length for data gathering
Smoothing Length: Select the length for data smoothing
Divergences: Enable/Disable divergences detection and length
Triple Zero Lag MACD📊 Triple Zero Lag MACD Indicator
This advanced indicator plots three customizable Zero Lag MACDs on a single panel, offering enhanced precision and responsiveness compared to traditional MACDs. Each MACD uses Zero Lag EMAs to reduce signal lag, improving the timeliness of trend and momentum detection.
🔍 Key Features:
Three Independent Zero Lag MACDs on one axis.
Customizable Fast EMA, Slow EMA, and Signal Line periods for each MACD.
Clear color-coded histograms for bullish and bearish momentum shifts.
Custom line and histogram colors for each MACD set.
Central zero line for easy interpretation of trend direction.
📈 Use Cases:
Detect momentum shifts faster with Zero Lag smoothing.
Compare short-, medium-, and long-term momentum in one view.
Ideal for advanced traders who want multi-layer confirmation in trend trading, scalping, or swing setups.
Boolean RSI Trend Indicator (Turn + 50 Filter)Indicates when there is an alignment on multi RSI, i.e. 3, 7, 14, 21 and 50.
Multi RSI (3,7,14,21,50)Gives multi RSI on the same indicator. Very visual to determine weather in up or down trend.
[blackcat] L2 Trend Guard OscillatorOVERVIEW
📊 The L2 Trend Guard Oscillator is a comprehensive technical analysis framework designed specifically to identify market trend reversals using adaptive filtering algorithms that combine price action dynamics with statistical measures of volatility and momentum.
Key Purpose:
Generate reliable early warning signals before major trend changes occur
Provide clear directional bias indicators aligned with institutional investor behavior patterns
Offer risk-managed entry/exit opportunities suitable for various timeframes
TECHNICAL FOUNDATION EXPLAINED
🎓 Core Mechanism Breakdown:
→ Advanced smoothing technique emphasizing recent data points more heavily than older ones
↓ Reduces lag while maintaining signal integrity compared to traditional MA approaches
• Short-term Momentum Assessment:
🔶 Relative strength between closing prices vs lower bounds
• Long-term Directional Bias Analysis:
📈 Extended timeframe comparison generating structural context
• Defense Level Generation:
➜ Protective boundary calculation incorporating EMAs for stability enhancement
PARAMETER CONFIGURATION GUIDE
🔧 Adjustable Settings Explained In Detail:
Timeframe Selection:**
↔ Controls lookback period sensitivity affecting responsiveness
↕ Adjusts reaction speed vs accuracy trade-off dynamically
Weight Factor Specification:**
⚡ Influences emphasis on newer versus historical observations
🎯 Defines key decision-making thresholds clearly
ALGORITHM EXECUTION FLOW
💻 Processing Sequence Overview:
:
→ Gather raw pricing inputs across required periods
↓ Normalize values preparing them for subsequent processing stages
:
✔ Calculate relative strength positions against established ranges
❌ Filter outliers maintaining signal integrity consistently
⟶ Apply dual-pass filtering reducing false signals effectively
➡ Generate actionable trading opportunities systematically
VISUALIZATION ARCHITECTURE
🎨 Display Elements Designated Purpose:
🔵 Primary Indicator Traces:
→ Aqua Trace: Buy/Sell Signal Progression
↑ Red Line: Opposing Force Boundary
🟥 Gray Dashed: Zero Reference Point
🏷️ Label System For Critical Events:
✅ BUY: Bullish Opportunity Markers
❌ SELL: Bearish Setup Validations
STRATEGIC IMPLEMENTATION FRAMEWORK
📋 Practical Deployment Steps:
Initial Integration Protocol:
• Select appropriate timeframe matching strategy objectives
• Configure input parameters aligning with target asset behavior traits
• Conduct thorough backtesting under simulated environments initially
Active Monitoring Procedures:
→ Regular observation of labeled event placements versus actual movements
↓ Track confirmation patterns leading up to signaled opportunities carefully
↑ Evaluate overall framework reliability across different regime types regularly
Execution Guidelines Formulation:
✔ Enter positions only after achieving minimum number of confirming inputs
❌ Avoid isolated occurrences lacking adequate supporting evidence always
➞ Look for convergent factors strengthening conviction before acting decisively
PERFORMANCE OPTIMIZATION TECHNIQUES
🚀 Continuous Improvement Strategies:
Parameter Calibration Approach:
✓ Start testing default suggested configurations thoroughly
↕ Gradually adjust individual components observing outcome changes methodically
✨ Document findings building personalized version profile incrementally
Context Adaptability Methods:
🔄 Add supplementary indicators enhancing overall reliability when needed
🔧 Remove unnecessary complexity layers avoiding confusion/distracted decisions
💫 Incorporate custom rules adapting specific security behaviors effectively
Efficiency Improvement Tactics:
⚙️ Streamline redundant computational routines wherever possible efficiently
♻️ Leverage shared data streams minimizing resource utilization significantly
⏳ Optimize refresh frequencies balancing update speed vs overhead properly
[blackcat] L3 Smart Money FlowCOMPREHENSIVE ANALYSIS OF THE L3 SMART MONEY FLOW INDICATOR
🌐 OVERVIEW:
The L3 Smart Money Flow indicator represents a sophisticated multi-dimensional analytics tool combining traditional momentum measurements with advanced institutional investor tracking capabilities. It's particularly effective at identifying large-scale capital movement dynamics that often precede significant price shifts.
Core Objectives:
• Detect subtle but meaningful price action anomalies indicating major player involvement
• Provide clear entry/exit markers based on multiple validated criteria
• Offer risk-managed positioning strategies suitable for various account sizes
• Maintain operational efficiency even during high volatility regimes
THEORETICAL BACKDROP AND METHODOLOGY
🎓 Conceptual Foundation Principles:
Utilizes Time-Varying Moving Averages (TVMA) responding adaptively to changing market states
Implements Extended Smoothing Algorithm (XSA) providing enhanced filtration characteristics
Employs asymmetric weight distribution favoring recent price observations over historical ones
→ Analyzes price-weighted closing prices incorporating volume influence indirectly
← Applies Asymmetric Local Maximum (ALMA) filters generating institution-specific trends
⟸ Combines multiple temporal perspectives producing robust directional assessments
✓ Calculates normalized momentum ratios comparing current state against extended range extremes
✗ Filters out insignificant fluctuations via double-stage verification process
⤾ Generates actionable alerts upon exceeding predefined significance boundaries
CONFIGURABLE PARAMETERS IN DEPTH
⚙️ Input Customization Options Detailed Explanation:
Temporal Resolution Control:
→ TVMA Length Setting:
Minimum value constraint ensuring mathematical validity
Higher numbers increase smoothing effect reducing reaction velocity
Lower intervals enhance responsiveness potentially increasing noise exposure
Validation Threshold Definition:
↓ Bull-Bear Boundary Level:
Establishes fundamental acceptance/rejection zones
Typically set near extreme values reflecting rare occurrence probability
Can be adjusted per instrument liquidity profiles if necessary
ADVANCED ALGORITHMIC PROCEDURES BREAKDOWN
💻 Internal Operation Architecture:
Base Calculations Infrastructure:
☑ Raw Data Preparation and Normalization
☐ High/Low/Closing Aggregation Processes
☒ Range Estimation Algorithms
Intermediate Transform Engine:
📈 Momentum Ratio Computation Workflow
↔ First Pass XSA Application Details
➖ Second Stage Refinement Mechanics
Final Output Synthesis Framework:
➢ Composite Reading Compilation Logic
➣ Validation Status Determination Process
➤ Alert Trigger Decision Making Structure
INTERACTIVE VISUAL INTERFACE COMPONENTS
🎨 User Experience Interface Elements:
🔵 Plotting Series Hierarchy:
→ Primary FundFlow Signal: White trace marking core oscillator progression
↑ Secondary Confirmation Overlay: Orange/Yellow highlighting validation status
🟥 Risk/Reward Boundaries: Aqua line delineating strategic areas requiring attention
🏷️ Interactive Marker System:
✔ "BUY": Green upward-pointing labels denoting confirmed long entries
❌ "SELL": Red downward-facing badges signaling short setups
PRACTICAL APPLICATION STRATEGY GUIDE
📋 Operational Deployment Instructions:
Strategic Planning Initiatives:
• Define precise profit targets considering realistic reward/risk scenarios
→ Set maximum acceptable loss thresholds protecting available resources adequately
↓ Develop contingency plans addressing unexpected adverse developments promptly
Live Trading Engagement Protocols:
→ Maintaining vigilant monitoring of label placement activities continuously
↓ Tracking order fill success rates across implemented grids regularly
↑ Evaluating system effectiveness compared alternative methodologies periodically
Performance Optimization Techniques:
✔ Implement incremental improvements iteratively throughout lifecycle
❌ Eliminate ineffective component variations systematically
⟹ Ensure proportional growth capability matching user needs appropriately
EFFICIENCY ENHANCEMENT APPROACHES
🚀 Ongoing Development Strategy:
Resource Management Focus Areas:
→ Minimizing redundant computation cycles through intelligent caching mechanisms
↓ Leveraging parallel processing capabilities where feasible efficiently
↑ Optimizing storage access patterns improving response times substantially
Scalability Consideration Factors:
✔ Adapting to varying account sizes/market capitalizations seamlessly
❌ Preventing bottlenecks limiting concurrent operation capacity
⟹ Ensuring balanced growth capability matching evolving requirements accurately
Maintenance Routine Establishment:
✓ Regular codebase updates incorporation keeping functionality current
↓ Periodic performance audits conducting verifying continued effectiveness
↑ Documentation refinement updating explaining any material modifications made
SYSTEMATIC RISK CONTROL MECHANISMS
🛡️ Comprehensive Protection Systems:
Position Sizing Governance:
∅ Never exceed predetermined exposure limitations strictly observed
± Scale entries proportionally according to available resources carefully
× Include slippage allowances within planning stages realistically
Emergency Response Procedures:
↩ Well-defined exit strategies including trailing stops activation logic
🌀 Contingency plan formulation covering worst-case scenario contingencies
⇄ Recovery procedure documentation outlining restoration steps methodically
MomentumBreak AI SwiftEdgeMomentumbreak AI SwiftEdge
Overview
This indicator combines two powerful concepts: Pivot Trendlines by HoanGhetti and the Squeeze Momentum Oscillator by AlgoAlpha. The goal of this mashup is to provide traders with a tool that identifies key trendline breakouts while simultaneously gauging market momentum through a dynamic gradient overlay. By integrating these two elements, the indicator offers a unique perspective on price action, helping traders spot high-probability breakout opportunities that align with momentum shifts.
How It Works
Pivot Trendlines:
The indicator uses HoanGhetti's Pivot Trendlines to identify pivot highs and lows based on user-defined settings (Pivot Length and Pivot Type).
Trendlines are drawn between these pivots, and breakouts are detected when the price crosses above (bullish) or below (bearish) the trendline.
Breakouts are visually highlighted with gradient boxes and an "AI: BREAK ⚡" label for clarity.
Squeeze Momentum Oscillator:
The Squeeze Momentum Oscillator calculates market momentum using a combination of volatility and price movement.
A dynamic midline (price_mid) is plotted, with its color indicating squeeze conditions (yellow for hypersqueeze, orange for normal squeeze, gray otherwise).
A gradient overlay is added above or below the midline to reflect momentum:
Green gradient for bullish momentum (vf > 0), placed below candles in an uptrend (close > price_mid) or above in a downtrend (close < price_mid).
Red gradient for bearish momentum (vf < 0), placed above candles in an uptrend or below in a downtrend.
The gradient's intensity increases as the price moves further from the midline, visually emphasizing momentum strength.
Breakout Confirmation:
Breakout signals are only generated when the momentum aligns with the breakout direction:
Bullish breakouts require bullish momentum (vf > 0).
Bearish breakouts require bearish momentum (vf < 0).
This alignment ensures that breakouts are more reliable and reduces false signals.
Default Settings
Pivot Length: 20 (determines the lookback period for identifying pivot points)
Pivot Type: Normal (can be set to "Fast" for more frequent pivots)
Repainting: True (trendlines may repaint as new pivots form; can be disabled)
Target Levels: False (optional horizontal levels at pivot points; can be enabled)
Extend: None (trendline extension; options: none, right, left, both)
Trendline Style: Dotted (options: dotted, dashed, solid)
Underlying Momentum Oscillator Length: 10
Swing Momentum Oscillator Length: 20
Squeeze Calculation Period: 14
Squeeze Smoothing Length: 7
Squeeze Detection Length: 14
Hyper Squeeze Detection Length: 5
Usage
This indicator is ideal for traders who want to combine trendline breakouts with momentum analysis:
Trendline Breakouts: Look for gradient boxes and "AI: BREAK ⚡" labels to identify confirmed breakouts. Bullish breakouts are marked with green boxes, and bearish breakouts with red boxes.
Momentum Confirmation: The gradient overlay (green for bullish, red for bearish) helps confirm the strength of the trend. Stronger gradients (less transparent) indicate stronger momentum.
Midline Crosses: Small triangles below (bullish) or above (bearish) candles indicate when the price crosses the dynamic midline, providing additional entry/exit signals.
Why This Combination?
The integration of Pivot Trendlines and Squeeze Momentum Oscillator creates a synergy that enhances trade decision-making:
Pivot Trendlines identify key structural levels in the market, making breakouts significant events.
The Squeeze Momentum Oscillator adds a momentum filter, ensuring that breakouts are supported by underlying market strength.
Together, they provide a more holistic view of price action, filtering out low-probability breakouts and highlighting opportunities where trendline breaks align with strong momentum.
Notes
This indicator does not use request.security() or barmerge.lookahead_on, so there is no risk of lookahead bias.
The script is designed to provide clear visual cues without making unrealistic claims about performance. It is intended as a tool for analysis, not a guaranteed trading system.
CoffeeShopCrypto Supply Demand PPO AdvancedCoffeeShopCrypto PPO Advanced is a structure-aware momentum oscillator and price-trend overlay designed to help traders interpret momentum strength, exhaustion, and continuation across evolving market conditions. It’s not a “buy/sell” signal tool — it's a momentum context tool that helps confirm trend intent.
Original Code derived from the Price Oscillator Indicators (PPO) found in the TradingView Technical Indicators categories. You can view the info and calculation for the original PPO here
www.tradingview.com
Much like the MACD, the PPO uses a couple lagging indicators to present Momentum as a percentage. But it lacks context to market structure.
What It’s Based On
This tool is based on a dual-moving-average PPO oscillator structure (Percentage Price Oscillator) enhanced by:
Oscillator pivot structure: detection of Lower Highs (LH) and Higher Lows (HL) inside the oscillator.
Detection of Supply and Demand Trends via Market Absorption
Ability to transfer its average plots to price action
Detection of Trend Exhaustion
Real-time price-based exhaustion levels: projecting potential future supply and demand using trendlines from weakening momentum.
Integrated fast and slow Moving Averages on price using the same inputs as the oscillator, to visualize alignment between short- and long-term trends.
These elements combine momentum context with price action in a visual, intuitive system.
How It Works
1. Oscillator Structure
LHs (above zero): momentum weakening in uptrends.
HLs (below zero): momentum strengthening in downtrends.
Only valid pivots are shown (e.g., an LH must be preceded by a valid LL).
2. Exhaustion Levels
Green demand lines: price is making new lows, but oscillator prints HL → potential exhaustion.
Red supply lines: price is making new highs, but oscillator prints LH → potential exhaustion.
These lines are future-facing, projecting likely reaction zones based on momentum weakening.
3. Moving Averages on Price
Two MAs are drawn on the price chart:
Fast MA (same length as PPO short input)
Slow MA (same length as PPO long input)
These are not signal lines — they're visual guides for trend alignment.
MA crossover = PO crosses zero. This indicates short- and long-term momentum are syncing — a powerful signal of trend conviction.
When price is above both MAs, and the PO is rising above zero, bullish momentum is dominant.
When price is below both MAs, and the PO is falling below zero, bearish momentum dominates.
How Traders Can Use It
✅ Spot Trend Initiation
Wait for clear trend confirmation in price.
Use PPO Momentum+ to confirm momentum structure is aligned (e.g., HH/HL in oscillator + price above both MAs).
🔁 Track Continuations
In uptrends, look for oscillator HH and HL sequences with price holding above both MAs.
In downtrends, seek LL and LH sequences with price below both MAs.
⚠️ Watch for Exhaustion
Price breaking below red (supply) lines after oscillator LH = bearish exhaustion signal.
Price breaking above green (demand) lines after oscillator HL = bullish exhaustion signal.
These levels act like pre-mapped S/R zones, showing where momentum previously failed and price may react.
Why This Is Different
Momentum tools often lag or mislead when used blindly. This tool visualizes structural failure in momentum and maps potential outcomes. The integration of oscillator and price-based tools ensures traders are always reading context, not just raw signals.
Demand Trendlines
Demand trendlines show us Wykoff's law of "Absorbed Supply Reversal" In real time.
When aggressive selling pressure is persistently absorbed by passive buying interest without significant downward price continuation, and supply becomes exhausted, the market structure shifts as demand regains control—resulting in a directional reversal to the upside.
This commonly happens in a 3 phase interaction of price.
1. Selling pressure is absorbed quickly by buyers.
This PPO tool will calculate the trend of this absorption process
2. After there is a notable Bearish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive buyers will want to step in at lower prices.
3. After higher lows are defined in the oscillator, you'll see prices react in a strong bullish pattern at this trendline where aggressive buyers stepped in to reverse price action to the upside.
Supply Trendlines
Supply trendlines show us Wykoff's law of "Absorbed Demand Reversal" In real time.
When aggressive buying pressure is persistently absorbed by passive selling interest without significant downward price continuation, and demand becomes exhausted, the market structure shifts as supply regains control—resulting in a directional reversal to the downside.
This commonly happens in a 3 phase interaction of price.
1. Buying pressure is absorbed quickly by sellers.
This PPO tool will calculate the trend of this absorption process.
2. After there is a notable Bullish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive sellers will want to step in at higher prices.
3. After lower highs are defined in the oscillator, you'll see prices react in a strong bearish pattern at this trendline where aggressive sellers stepped in to reverse price action to the downside.
Lower High and Higher Low Signals
When the oscillator signals Lower Highs or High Lows its only noting that momentum in that trend direction is slowing. THis indicates a coming pause in the market and the proceeding longs of an uptrend or shorts of a downtrend should be taken with caution.
**These LH and HL markers are not reading as divergences in price vs momentum.**
They are simply registering against the highs and lows of itself..
Moving Averages on Price Action
The Oscillator will cross over its ZERO level the same time your Short and Long MAs cross each other. This will indicate that the short term average trend is moving ahead of the long term.
Crossovers are not an entry signal. It's a method in determining you current timeframe trend strength. Always observe price action as it passes through each of your moving averages and compare it to the positioning and direction of the oscillator.
If price dips in between the moving averages while the oscillator still shows a strong trend strength, you can wait for price to move ahead of your fast moving average.
Bar Colors and Signal Line for Trend Strength
Good Bullish Trend = Oscillator above zero + Signal rising below Oscillator
Weak Bullish Trend = Oscillator above zero + Signal above Oscillator
Good Bearish Trend = Oscillator below zero + Signal falling above Oscillator
Weak Bearish Trend = Oscillator below zero + Signal below Oscillator
Bar Colors
Bars are colored to match Oscillator Momentum Strength. Colors are set by user.
Why alter the known PPO (Percentage Price Oscillator) in this manner?
The PPO tool is great for measuring the strength as percentage of price action over and average amount of candles however, with these changes,
you know have the ability to correlate:
Wycoff theory of supply and demand,
Measure the depth of reversals and pullback by price positioning against moving averages,
Project potential reversal and exhaustion pricing,
Visibly note the structure of momentum much like you would note market structure,
Its not enough to know there is momentum. Its better to know
A) Is it enough
B) Is there something in the way which will cause price to push back
C) Does this momentum correlate to the prevailing trend
Parameter Free RSI [InvestorUnknown]The Parameter Free RSI (PF-RSI) is an innovative adaptation of the traditional Relative Strength Index (RSI), a widely used momentum oscillator that measures the speed and change of price movements. Unlike the standard RSI, which relies on a fixed lookback period (typically 14), the PF-RSI dynamically adjusts its calculation length based on real-time market conditions. By incorporating volatility and the RSI's deviation from its midpoint (50), this indicator aims to provide a more responsive and adaptable tool for identifying overbought/oversold conditions, trend shifts, and momentum changes. This adaptability makes it particularly valuable for traders navigating diverse market environments, from trending to ranging conditions.
PF-RSI offers a suite of customizable features, including dynamic length variants, smoothing options, visualization tools, and alert conditions.
Key Features
1. Dynamic RSI Length Calculation
The cornerstone of the PF-RSI is its ability to adjust the RSI calculation period dynamically, eliminating the need for a static parameter. The length is computed using two primary factors:
Volatility: Measured via the standard deviation of past RSI values.
Distance from Midpoint: The absolute deviation of the RSI from 50, reflecting the strength of bullish or bearish momentum.
The indicator offers three variants for calculating this dynamic length, allowing users to tailor its responsiveness:
Variant I (Aggressive): Increases the length dramatically based on volatility and a nonlinear scaling of the distance from 50. Ideal for traders seeking highly sensitive signals in fast-moving markets.
Variant II (Moderate): Combines volatility with a scaled distance from 50, using a less aggressive adjustment. Strikes a balance between responsiveness and stability, suitable for most trading scenarios.
Variant III (Conservative): Applies a linear combination of volatility and raw distance from 50. Offers a stable, less reactive length adjustment for traders prioritizing consistency.
// Function that returns a dynamic RSI length based on past RSI values
// The idea is to make the RSI length adaptive using volatility (stdev) and distance from the RSI midpoint (50)
// Different "variant" options control how aggressively the length changes
parameter_free_length(free_rsi, variant) =>
len = switch variant
// Variant I: Most aggressive adaptation
// Uses standard deviation scaled by a nonlinear factor of distance from 50
// Also adds another distance-based term to increase length more dramatically
"I" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) *
math.pow(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100), 2)
) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
// Variant II: Moderate adaptation
// Adds the standard deviation and a distance-based scaling term (less nonlinear)
"II" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
)
// Variant III: Least aggressive adaptation
// Simply adds standard deviation and raw distance from 50 (linear scaling)
"III" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
math.ceil(math.abs(free_rsi - 50))
)
2. Smoothing Options
To refine the dynamic RSI and reduce noise, the PF-RSI provides smoothing capabilities:
Smoothing Toggle: Enable or disable smoothing of the dynamic length used for RSI.
Smoothing MA Type for RSI MA: Choose between SMA and EMA
Smoothing Length Options for RSI MA:
Full: Uses the entire calculated dynamic length.
Half: Applies half of the dynamic length for smoother output.
SQRT: Uses the square root of the dynamic length, offering a compromise between responsiveness and smoothness.
The smoothed RSI is complemented by a separate moving average (MA) of the RSI itself, further enhancing signal clarity.
3. Visualization Tools
The PF-RSI includes visualization options to help traders interpret market conditions at a glance.
Plots:
Dynamic RSI: Displayed as a white line, showing the adaptive RSI value.
RSI Moving Average: Plotted in yellow, providing a smoothed reference for trend and momentum analysis.
Dynamic Length: A secondary plot (in faint white) showing how the calculation period evolves over time.
Histogram: Represents the RSI’s position relative to 50, with color gradients.
Fill Area: The space between the RSI and its MA is filled with a gradient (green for RSI > MA, red for RSI < MA), highlighting momentum shifts.
Customizable bar colors on the price chart reflect trend and momentum:
Trend (Raw RSI): Green (RSI > 50), Red (RSI < 50).
Trend (RSI MA): Green (MA > 50), Red (MA < 50).
Trend (Raw RSI) + Momentum: Adds momentum shading (lighter green/red when RSI and MA diverge).
Trend (RSI MA) + Momentum: Similar, but based on the MA’s trend.
Momentum: Green (RSI > MA), Red (RSI < MA).
Off: Disables bar coloring.
Intrabar Updating: Optional real-time updates within each bar for enhanced responsiveness.
4. Alerts
The PF-RSI supports customizable alerts to keep traders informed of key events.
Trend Alerts:
Raw RSI: Triggers when the RSI crosses above (uptrend) or below (downtrend) 50.
RSI MA: Triggers when the moving average crosses 50.
Off: Disables trend alerts.
Momentum Alerts:
Triggers when the RSI crosses its moving average, indicating rising (RSI > MA) or declining (RSI < MA) momentum.
Alerts are fired once per bar close, with descriptive messages including the ticker symbol (e.g., " Uptrend on: AAPL").
How It Works
The PF-RSI operates in a multi-step process:
Initialization
On the first run, it calculates a standard RSI with a 14-period length to seed the dynamic calculation.
Dynamic Length Computation
Once seeded, the indicator switches to a dynamic length based on the selected variant, factoring in volatility and distance from 50.
If smoothing is enabled, the length is further refined using an SMA.
RSI Calculation
The adaptive RSI is computed using the dynamic length, ensuring it reflects current market conditions.
Moving Average
A separate MA (SMA or EMA) is applied to the RSI, with a length derived from the dynamic length (Full, Half, or SQRT).
Visualization and Alerts
The results are plotted, and alerts are triggered based on user settings.
This adaptive approach minimizes lag in fast markets and reduces false signals in choppy conditions, offering a significant edge over fixed-period RSI implementations.
Why Use PF-RSI?
The Parameter Free RSI stands out by eliminating the guesswork of selecting an RSI period. Its dynamic length adjusts to market volatility and momentum, providing timely signals without manual tweaking.
MACD+RSI Cross Alert – Clean Signal by TFGMACD + RSI Cross Alert (Lightweight & Clean Visuals)
This script highlights potential momentum shifts using MACD line crossovers with RSI confirmation.
Clean, minimal ▲▼ markers make it suitable for any chart setup.
▲ Upward Marker: When MACD line crosses above signal line and RSI is above 50
▼ Downward Marker: When MACD line crosses below signal line and RSI is below 50
Signals are semi-transparent and offset for visual clarity
Compatible with any timeframe and symbol
🔰 For beginners:
These markers may suggest trend initiation or a momentum shift.
They can serve as timing references when used with support/resistance zones or moving averages.
MACD＋RSIクロス マーカー（軽量・視認性重視）
このスクリプトは、MACDのクロスとRSIの方向をもとに、勢いの変化を示すマーカーを表示します。
チャートを邪魔しない小さな▲▼のみ表示され、シンプルで軽量な構成です。
▲ 上向きマーカー：MACDがシグナルを上抜け、かつRSIが50より上の場合
▼ 下向きマーカー：MACDがシグナルを下抜け、かつRSIが50より下の場合
半透明かつオフセット配置で視認性を確保
すべての時間足・銘柄に対応
🔰 初心者向け補足：
このマーカーは、トレンドの始まりや勢いの変化の可能性を示します。
サポートライン・移動平均などと組み合わせて、タイミングの参考として活用できます。
Liquid Pulse Liquid Pulse by Dskyz (DAFE) Trading Systems
Liquid Pulse is a trading algo built by Dskyz (DAFE) Trading Systems for futures markets like NQ1!, designed to snag high-probability trades with tight risk control. it fuses a confluence system—VWAP, MACD, ADX, volume, and liquidity sweeps—with a trade scoring setup, daily limits, and VIX pauses to dodge wild volatility. visuals include simple signals, VWAP bands, and a dashboard with stats.
Core Components for Liquid Pulse
Volume Sensitivity (volumeSensitivity) controls how much volume spikes matter for entries. options: 'Low', 'Medium', 'High' default: 'High' (catches small spikes, good for active markets) tweak it: 'Low' for calm markets, 'High' for chaos.
MACD Speed (macdSpeed) sets the MACD’s pace for momentum. options: 'Fast', 'Medium', 'Slow' default: 'Medium' (solid balance) tweak it: 'Fast' for scalping, 'Slow' for swings.
Daily Trade Limit (dailyTradeLimit) caps trades per day to keep risk in check. range: 1 to 30 default: 20 tweak it: 5-10 for safety, 20-30 for action.
Number of Contracts (numContracts) sets position size. range: 1 to 20 default: 4 tweak it: up for big accounts, down for small.
VIX Pause Level (vixPauseLevel) stops trading if VIX gets too hot. range: 10 to 80 default: 39.0 tweak it: 30 to avoid volatility, 50 to ride it.
Min Confluence Conditions (minConditions) sets how many signals must align. range: 1 to 5 default: 2 tweak it: 3-4 for strict, 1-2 for more trades.
Min Trade Score (Longs/Shorts) (minTradeScoreLongs/minTradeScoreShorts) filters trade quality. longs range: 0 to 100 default: 73 shorts range: 0 to 100 default: 75 tweak it: 80-90 for quality, 60-70 for volume.
Liquidity Sweep Strength (sweepStrength) gauges breakouts. range: 0.1 to 1.0 default: 0.5 tweak it: 0.7-1.0 for strong moves, 0.3-0.5 for small.
ADX Trend Threshold (adxTrendThreshold) confirms trends. range: 10 to 100 default: 41 tweak it: 40-50 for trends, 30-35 for weak ones.
ADX Chop Threshold (adxChopThreshold) avoids chop. range: 5 to 50 default: 20 tweak it: 15-20 to dodge chop, 25-30 to loosen.
VWAP Timeframe (vwapTimeframe) sets VWAP period. options: '15', '30', '60', '240', 'D' default: '60' (1-hour) tweak it: 60 for day, 240 for swing, D for long.
Take Profit Ticks (Longs/Shorts) (takeProfitTicksLongs/takeProfitTicksShorts) sets profit targets. longs range: 5 to 100 default: 25.0 shorts range: 5 to 100 default: 20.0 tweak it: 30-50 for trends, 10-20 for chop.
Max Profit Ticks (maxProfitTicks) caps max gain. range: 10 to 200 default: 60.0 tweak it: 80-100 for big moves, 40-60 for tight.
Min Profit Ticks to Trail (minProfitTicksTrail) triggers trailing. range: 1 to 50 default: 7.0 tweak it: 10-15 for big gains, 5-7 for quick locks.
Trailing Stop Ticks (trailTicks) sets trail distance. range: 1 to 50 default: 5.0 tweak it: 8-10 for room, 3-5 for fast locks.
Trailing Offset Ticks (trailOffsetTicks) sets trail offset. range: 1 to 20 default: 2.0 tweak it: 1-2 for tight, 5-10 for loose.
ATR Period (atrPeriod) measures volatility. range: 5 to 50 default: 9 tweak it: 14-20 for smooth, 5-9 for reactive.
Hardcoded Settings volLookback: 30 ('Low'), 20 ('Medium'), 11 ('High') volThreshold: 1.5 ('Low'), 1.8 ('Medium'), 2 ('High') swingLen: 5
Execution Logic Overview trades trigger when confluence conditions align, entering long or short with set position sizes. exits use dynamic take-profits, trailing stops after a profit threshold, hard stops via ATR, and a time stop after 100 bars.
Features Multi-Signal Confluence: needs VWAP, MACD, volume, sweeps, and ADX to line up.
Risk Control: ATR-based stops (capped 15 ticks), take-profits (scaled by volatility), and trails.
Market Filters: VIX pause, ADX trend/chop checks, volatility gates. Dashboard: shows scores, VIX, ADX, P/L, win %, streak.
Visuals Simple signals (green up triangles for longs, red down for shorts) and VWAP bands with glow. info table (bottom right) with MACD momentum. dashboard (top right) with stats.
Chart and Backtest:
NQ1! futures, 5-minute chart. works best in trending, volatile conditions. tweak inputs for other markets—test thoroughly.
Backtesting: NQ1! Frame: Jan 19, 2025, 09:00 — May 02, 2025, 16:00 Slippage: 3 Commission: $4.60
Fee Typical Range (per side, per contract)
CME Exchange $1.14 – $1.20
Clearing $0.10 – $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 – $0.80 (retail prop)
TOTAL $1.60 – $2.30 per side
Round Turn: (enter+exit) = $3.20 – $4.60 per contract
Disclaimer this is for education only. past results don’t predict future wins. trading’s risky—only use money you can lose. backtest and validate before going live. (expect moderators to nitpick some random chart symbol rule—i’ll fix and repost if they pull it.)
About the Author Dskyz (DAFE) Trading Systems crafts killer trading algos. Liquid Pulse is pure research and grit, built for smart, bold trading. Use it with discipline. Use it with clarity. Trade smarter. I’ll keep dropping badass strategies ‘til i build a brand or someone signs me up.
2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
UltraAlgoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for UltraGuppy specs for Scott's Zone Traders Algoguy++ (courtesy Anthony Algoguy's updated specs)
bands are:
short term: 10-120 ema in 2 step increments
long term: 150-300 ema in 2 step increments
the oscillator shows:
trend strength in the distance away from the 0 line
compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation
band cross over
buy and sell signals
Sine Swing OscillatorThe Sine Swing Oscillator (SSO) is a custom momentum indicator that transforms price movement into a sine-based oscillator ranging from -1 to +1. It does this by measuring the deviation of the current price from a reference price, which is updated at fixed bar intervals. The price deviation is normalized using the Average True Range (ATR) over the same interval, then mapped through a sine transformation to create a bounded oscillator. This transformation helps identify cyclical price behavior in a consistent range.
The resulting sine values are smoothed using a Simple Moving Average (SMA), and a signal line is derived by applying an Exponential Moving Average (EMA) to the smoothed oscillator. Traders can use signal line crossovers, or moves through the zero line, to help identify potential entry or exit signals based on cyclical momentum shifts.
The oscillator and signal line are plotted in a separate pane, with user-configurable smoothing lengths and colors. The zero line is also included for reference.
MACD-V with Volatility Normalisation [DCD]MACD-V with Volatility Normalisation
This indicator is a modified version of the traditional MACD, designed to account for market volatility by normalizing the MACD line using the Average True Range (ATR). It provides a more adaptive approach to identifying momentum shifts and potential trend reversals. This indicator was developed by Alex Spiroglou in this paper:
Spiroglou, Alex, MACD-V: Volatility Normalised Momentum (May 3, 2022).
Features:
Volatility Normalization: The MACD line is adjusted using ATR to standardize its values across different market conditions.
Customizable Parameters: Users can adjust the MACD fast length, slow length, signal line smoothing, and ATR length to suit their trading style.
Histogram Visualization: The histogram highlights the difference between the MACD and signal lines, with customizable colors for positive and negative momentum.
Crossover Signals: Green and red dots indicate bullish and bearish crossovers between the MACD and signal lines.
Background Highlighting: The chart background changes to green when the MACD is above 0 and red when it is below 0, providing a clear visual cue for bullish and bearish conditions.
Horizontal Levels: Dotted horizontal lines are plotted at key levels for better visualization of MACD values.
How to Use:
Look for crossovers between the MACD and signal lines to identify potential buy or sell signals.
Use the histogram to gauge the strength of momentum.
Pay attention to the background color for quick identification of bullish (green) or bearish (red) conditions.
This indicator is ideal for traders who want a more dynamic MACD that adapts to market volatility. Customize the settings to align with your trading strategy and timeframe.
Parabolic RSI Strategy + MA Filter + TP/SL 【PakunFX】🧠 Parabolic RSI Strategy + MA Filter + TP/SL【PakunFX】
This strategy combines a **custom Parabolic SAR applied to the RSI** (momentum-based trend reversal detection) with a **price-based moving average filter** to create a clear and responsive trend-following system.
Additionally, it **automatically draws Take Profit (TP) and Stop Loss (SL) levels** on the chart based on a fixed risk-reward ratio, providing visual risk clarity and supporting consistent trade planning.
---
## 🔍 What This Script Does
**RSI-Based Trend Detection:**
A custom Parabolic SAR is applied to RSI rather than price, enabling detection of **momentum reversals** instead of just price swings.
**MA Directional Filter:**
Entries are filtered by a moving average (EMA or SMA). The strategy only allows trades **in the direction of the trend**—longs above the MA, shorts below.
**Auto-Drawn TP/SL Levels:**
Each trade includes auto-calculated TP and SL lines using a configurable risk-reward ratio (e.g., 2.0), helping traders maintain consistency and discipline.
**Clear Entry Triggers:**
Positions are opened **when the RSI-based Parabolic SAR flips direction**, but only if the price is on the correct side of the MA filter.
→ This ensures trades are made **at the moment of momentum shift**, but only **in the direction of the dominant trend**.
---
## 🧮 Core Logic Breakdown
✅ Entry Conditions
**Long Entry:**
RSI-based SAR flips below the RSI (bullish signal) **and** price is **above** the moving average.
**Short Entry:**
RSI-based SAR flips above the RSI (bearish signal) **and** price is **below** the moving average.
✅ Exit Conditions (Position Reversal)
When an opposite signal occurs, the current position is **closed immediately**, and a new one is **opened in the opposite direction**.
✅ TP / SL Setup
- SL is placed at a **virtual buffer distance** (e.g., 100 pips from entry).
- TP is calculated using the **risk-reward ratio** (e.g., 2.0 → TP at 200 pips if SL = 100).
→ Delivers consistent, risk-defined trades.
---
## 💰 Risk Management Parameters
**Asset / Timeframe:** Any (Backtested on 10-minute chart)
**Account Size (Virtual):** $3,000
**Commission:** 0.02% per trade
**Slippage Buffer:** Equivalent to 100 pips
**Risk Per Trade:** Approximately 5% of account balance
**Number of Trades (Backtest Period):** 125 trades
---
## 📈 Recommended Usage
**Timeframes:** 5m to 30m (scalping to intraday)
**Market Conditions:** Best in trending markets; responsive even in mild ranges
**Assets:** Forex pairs, Gold, WTI Crude, Indexes with volatility
**Discretionary Support:** Visual TP/SL allows for **pre-planned trades** and avoids impulsive decisions
---
## ⚠️ Notes & Considerations
Positions are reversed on opposite signals (no simultaneous longs & shorts).
Backtests do not include broker-specific execution factors—adjust for slippage and spreads if needed.
Strategy is **originally developed**, inspired by “ChartPrime's RSI Parabolic SAR” idea, but fully standalone.
---
## 🖼 Chart Visuals & Features
**MA Line (orange):** Shows trend direction
**TP Line (green dashed):** Take Profit visualization
**SL Line (red dashed):** Stop Loss boundary
**RSI-SAR Flip Points:** Highlight entry timing visually
---
## ✅ Summary
Parabolic RSI Strategy + MA Filter + TP/SL【PakunFX】 is a
“Momentum Detection × Trend Filtering × Exit Visualization” strategy designed for consistent, visually guided decision-making.
With clearly structured logic and visual aids, it serves both discretionary and systematic traders looking for a **momentum-aligned, risk-controlled approach**.
New Momentum H/LNew Momentum H/L shows when momentum, defined as the rate of price change over time, exceeds the highest or lowest values observed over a user-defined period. These events shows points where momentum reaches new extremes relative to that period, and the indicator plots a column to mark each occurrence.
Increase in momentum could indicate the start of a trend phase from a low volatile or balanced state. However in developed trends, extreme momentum could also mark potential climaxes which can lead to trend termination. This reflects the dual nature of the component.
This indicator is based on the MACD calculated as the difference between a 3-period and a 10-period simple moving average. New highs are indicated when this value exceeds all previous values within the lookback window; new lows when it drops below all previous values. The default lookback period is set to 40 bars, which corresponds with two months on a daily chart.
The indicator also computes a z-score of the MACD line over the past 100 bars. This standardization helps compare momentum across different periods and normalizes the values of current moves relative to recent history.
In practice, use the indicator to confirm presence of momentum at the start of a move from a balanced state (often following a volatility expansion), track how momentum develops inside of a trend structure and locate potential climactic events.
Momentum should in preference be interpreted from price movement. However, to measure and standardize provides structure and helps build more consistent models. This should be used in context of price structure and broader market conditions; as all other tools.
