Palgo Trading - Palgo🎯THE PALGO INDICATOR
The "Palgo Trading - Palgo" indicator, developed by PALGOTRADING is a sophisticated technical analysis tool designed to identify potential buy and sell signals by combining trend analysis with momentum and optional AI-driven sentiment assessment. This indicator provides a clear visual representation of potential trading opportunities directly on the price chart.
At its core, the Palgo indicator synthesizes information from well-established technical analysis concepts with statistical functions, and has optional AI Integration for social analysis of the asset using external data :
Supertrend: This indicator identifies the prevailing trend direction. A positive Supertrend value suggests an upward trend, while a negative value indicates a downward trend. The Palgo indicator utilizes a Supertrend with a customizable multiplier and a user-configurable Average True Range (ATR) length (defaulting to 21).
🛜Signal Generation Logic
The indicator generates buy and sell signals based on a calculated "final direction" value. This value is derived by combining the Supertrend direction and a modified RSI. The modification involves scaling the RSI output to a range of -0.5 to 0.5 and then further adjusting it.
The buy and sell conditions are as follows:
Buy Signal: A buy signal is triggered when the "final direction" crosses above a positive activation threshold while the current signal is not already bullish. Upon signal generation, a "Buy" label (colored green) appears below the bar, and initial Take Profit (TP) and Stop Loss (SL) levels are calculated and stored.
Sell Signal: Conversely, a sell signal is triggered when the "final direction" crosses below a negative activation threshold while the current signal is not already bearish. A "Sell" label (colored red) is plotted above the bar, and corresponding TP and SL levels are determined.
✅ Optimized Take-Profit / Stop-Loss
The Take-Profit (TP) & Stop-Loss (SL) signals are optimized with Kernel Density Estimation (KDE), the script uses KDE activated by gaussian function on previous pivot points and trains the model, then tries to estimate new pivot points early, to determine new TP / SL levels for the current signal. Kernel Density Estimation takes values of the previous confirmed pivots' RSI values, body size & more factors to determine their role. This indicator can generate up to 5 TP signals per signal.
📈 Signal Trail
Palgo also includes a "Signal Trail" that visually shows the market's momentum. This trail is like a dynamic line that follows the price.
When the market is in an uptrend and looking strong, you'll see a green trail.
When it's in a downtrend and looking weak, you'll see a red trail.
This trail helps you see if the market is currently aligned with Palgo's bullish (buy) or bearish (sell) signal. It also acts as a visual guide for potential support or resistance levels.
📊Backtesting Dashboard
The Palgo indicator includes an optional Backtesting Dashboard to help you understand its historical performance. This dashboard appears directly on your chart and provides a quick summary of how the indicator's signals have performed in the past.
Here's what you'll see on the dashboard:
Sensitivity: This shows the specific "Sensitivity" setting you've chosen for the indicator. This setting influences how often signals are generated.
Wins: This number tells you how many trades initiated by the Palgo indicator historically ended in profit (reached a Take-Profit target or closed profitably when the signal reversed).
Loss: This number indicates how many trades historically ended in a loss (hit the Stop-Loss).
Winrate: This is a very important metric, displayed as a percentage. It shows you the proportion of winning trades compared to the total number of trades (Wins / (Wins + Loss)). A higher winrate generally suggests a more effective strategy.
This dashboard is a valuable tool for reviewing the indicator's effectiveness with different settings and helping you make informed decisions about its use in your trading.
🤖AI Integration (Optional):
A unique feature of the Palgo indicator is the optional integration of Artificial Intelligence (AI) sentiment analysis. When the "Use AI" input is enabled, the indicator incorporates two additional user-defined inputs:
Impression Change %: This input represents the percentage change in overall market sentiment as assessed by an external AI.
Positivity Change: This input reflects the change in positive sentiment, also provided by an AI.
These AI inputs are combined to create an "AI Score," which then influences the "final direction" calculation. A positive AI Score amplifies the bullish signals and dampens bearish signals, while a negative AI Score has the opposite effect.
❓Why PALGO ?
All-in-One Analysis: Palgo combines trend, momentum, and advanced statistical analysis into one easy-to-use tool, giving you a complete picture without needing multiple indicators.
Dynamic Profit & Loss Management: Unlike many tools with fixed targets, Palgo's smart profit and stop-loss system adapts to the market using KDE. This helps you potentially capture more gains and limit losses effectively.
Optional AI Insights: For an extra edge, Palgo can tap into Artificial Intelligence (AI) to gauge overall market mood. If the AI sees a lot of positive buzz, it can strengthen buy signals; if it's negative, it can reinforce sell signals. This helps you trade with a better understanding of the market's pulse.
Clear and Customizable: Palgo is designed to be very visual. It changes the color of the price bars, adds clear "Buy" or "Sell" labels, and marks your profit and stop-loss points. You can also change the colors to suit your preference.
Palgo aims to be a comprehensive and adaptable trading tool, giving you clearer insights.
⚙️Visualizations and Customization
The Palgo indicator offers several visual cues to aid traders:
Bar Coloring: The price bars are colored green when the indicator identifies a bullish signal and red during a bearish signal.
Signal Labels: Clear "Buy" and "Sell" labels are plotted at the signal generation points.
Take Profit and Stop Loss Markers: Distinct shapes and labels indicate when the price reaches the calculated TP and SL levels.
Style Options: Users can customize the colors for bullish and bearish bars, text, and TP/SL markers within the indicator's settings.
Pesquisar nos scripts por "bear"
Delta Volume Profile [BigBeluga]🔵Delta Volume Profile
A dynamic volume analysis tool that builds two separate horizontal profiles: one for bullish candles and one for bearish candles. This indicator helps traders identify the true balance of buying vs. selling volume across price levels, highlighting points of control (POCs), delta dominance, and hidden volume clusters with remarkable precision.
🔵 KEY FEATURES
Split Volume Profiles (Bull vs. Bear):
The indicator separates volume based on candle direction:
If close > open , the candle’s volume is added to the bullish profile (positive volume).
If close < open , it contributes to the bearish profile (negative volume).
ATR-Based Binning:
The price range over the selected lookback is split into bins using ATR(200) as the bin height.
Each bin accumulates both bull and bear volumes to form the dual-sided profile.
Bull and Bear Volume Bars:
Bullish volumes are shown as right-facing bars on the right side, colored with a bullish gradient.
Bearish volumes appear as left-facing bars on the left side, shaded with a bearish gradient.
Each bar includes a volume label (e.g., +12.45K or -9.33K) to show exact volume at that price level.
Points of Control (POC) Highlighting:
The bin with the highest bullish volume is marked with a border in POC+ color (default: blue).
The bin with the highest bearish volume is marked with a POC− color (default: orange).
Total Volume Density Map:
A neutral gray background box is plotted behind candles showing the total volume (bull + bear) per bin.
This reveals high-interest price zones regardless of direction.
Delta and Total Volume Summary:
A Delta label appears at the top, showing net % difference between bull and bear volume.
A Total label at the bottom shows total accumulated volume across all bins.
🔵 HOW IT WORKS
The indicator captures all candles within the lookback period .
It calculates the price range and splits it into bins using ATR for adaptive resolution.
For each candle:
If price intersects a bin and close > open , volume is added to the positive profile .
If close < open , volume is added to the negative profile .
The result is two side-by-side histograms at each price level—one for buyers, one for sellers.
The bin with the highest value on each side is visually emphasized using POC highlight colors.
At the end, the script calculates:
Delta: Total % difference between bull and bear volumes.
Total: Sum of all volumes in the lookback window.
🔵 USAGE
Volume Imbalance Zones: Identify price levels where buyers or sellers were clearly dominant.
Fade or Follow Volume Clusters: Use POC+ or POC− levels for reaction trades or breakouts.
Delta Strength Filtering: Strong delta values (> ±20%) suggest momentum or exhaustion setups.
Volume-Based Anchoring: Use profile levels to mark hidden support/resistance and execution zones.
🔵 CONCLUSION
Delta Volume Profile offers a unique advantage in market reading by separating buyer and seller activity into two visual layers. This allows traders to not only spot where volume was high, but also who was more aggressive. Whether you’re analyzing trend continuations, reversals, or absorption levels, this indicator gives you the transparency needed to trade with confidence.
Lyapunov Market Instability (LMI)Lyapunov Market Instability (LMI)
What is Lyapunov Market Instability?
Lyapunov Market Instability (LMI) is a revolutionary indicator that brings chaos theory from theoretical physics into practical trading. By calculating Lyapunov exponents—a measure of how rapidly nearby trajectories diverge in phase space—LMI quantifies market sensitivity to initial conditions. This isn't another oscillator or trend indicator; it's a mathematical lens that reveals whether markets are in chaotic (trending) or stable (ranging) regimes.
Inspired by the meditative color field paintings of Mark Rothko, this indicator transforms complex chaos mathematics into an intuitive visual experience. The elegant simplicity of the visualization belies the sophisticated theory underneath—just as Rothko's seemingly simple color blocks contain profound depth.
Theoretical Foundation (Chaos Theory & Lyapunov Exponents)
In dynamical systems, the Lyapunov exponent (λ) measures the rate of separation of infinitesimally close trajectories:
λ > 0: System is chaotic—small changes lead to dramatically different outcomes (butterfly effect)
λ < 0: System is stable—trajectories converge, perturbations die out
λ ≈ 0: Edge of chaos—transition between regimes
Phase Space Reconstruction
Using Takens' embedding theorem , we reconstruct market dynamics in higher dimensions:
Time-delay embedding: Create vectors from price at different lags
Nearest neighbor search: Find historically similar market states
Trajectory evolution: Track how these similar states diverged over time
Divergence rate: Calculate average exponential separation
Market Application
Chaotic markets (λ > threshold): Strong trends emerge, momentum dominates, use breakout strategies
Stable markets (λ < threshold): Mean reversion dominates, fade extremes, range-bound strategies work
Transition zones: Market regime about to change, reduce position size, wait for confirmation
How LMI Works
1. Phase Space Construction
Each point in time is embedded as a vector using historical prices at specific delays (τ). This reveals the market's hidden attractor structure.
2. Lyapunov Calculation
For each current state, we:
- Find similar historical states within epsilon (ε) distance
- Track how these initially similar states evolved
- Measure exponential divergence rate
- Average across multiple trajectories for robustness
3. Signal Generation
Chaos signals: When λ crosses above threshold, market enters trending regime
Stability signals: When λ crosses below threshold, market enters ranging regime
Divergence detection: Price/Lyapunov divergences signal potential reversals
4. Rothko Visualization
Color fields: Background zones represent market states with Rothko-inspired palettes
Glowing line: Lyapunov exponent with intensity reflecting market state
Minimalist design: Focus on essential information without clutter
Inputs:
📐 Lyapunov Parameters
Embedding Dimension (default: 3)
Dimensions for phase space reconstruction
2-3: Simple dynamics (crypto/forex) - captures basic momentum patterns
4-5: Complex dynamics (stocks/indices) - captures intricate market structures
Higher dimensions need exponentially more data but reveal deeper patterns
Time Delay τ (default: 1)
Lag between phase space coordinates
1: High-frequency (1m-15m charts) - captures rapid market shifts
2-3: Medium frequency (1H-4H) - balances noise and signal
4-5: Low frequency (Daily+) - focuses on major regime changes
Match to your timeframe's natural cycle
Initial Separation ε (default: 0.001)
Neighborhood size for finding similar states
0.0001-0.0005: Highly liquid markets (major forex pairs)
0.0005-0.002: Normal markets (large-cap stocks)
0.002-0.01: Volatile markets (crypto, small-caps)
Smaller = more sensitive to chaos onset
Evolution Steps (default: 10)
How far to track trajectory divergence
5-10: Fast signals for scalping - quick regime detection
10-20: Balanced for day trading - reliable signals
20-30: Slow signals for swing trading - major regime shifts only
Nearest Neighbors (default: 5)
Phase space points for averaging
3-4: Noisy/fast markets - adapts quickly
5-6: Balanced (recommended) - smooth yet responsive
7-10: Smooth/slow markets - very stable signals
📊 Signal Parameters
Chaos Threshold (default: 0.05)
Lyapunov value above which market is chaotic
0.01-0.03: Sensitive - more chaos signals, earlier detection
0.05: Balanced - optimal for most markets
0.1-0.2: Conservative - only strong trends trigger
Stability Threshold (default: -0.05)
Lyapunov value below which market is stable
-0.01 to -0.03: Sensitive - quick stability detection
-0.05: Balanced - reliable ranging signals
-0.1 to -0.2: Conservative - only deep stability
Signal Smoothing (default: 3)
EMA period for noise reduction
1-2: Raw signals for experienced traders
3-5: Balanced - recommended for most
6-10: Very smooth for position traders
🎨 Rothko Visualization
Rothko Classic: Deep reds for chaos, midnight blues for stability
Orange/Red: Warm sunset tones throughout
Blue/Black: Cool, meditative ocean depths
Purple/Grey: Subtle, sophisticated palette
Visual Options:
Market Zones : Background fields showing regime areas
Transitions: Arrows marking regime changes
Divergences: Labels for price/Lyapunov divergences
Dashboard: Real-time state and trading signals
Guide: Educational panel explaining the theory
Visual Logic & Interpretation
Main Elements
Lyapunov Line: The heart of the indicator
Above chaos threshold: Market is trending, follow momentum
Below stability threshold: Market is ranging, fade extremes
Between thresholds: Transition zone, reduce risk
Background Zones: Rothko-inspired color fields
Red zone: Chaotic regime (trending)
Gray zone: Transition (uncertain)
Blue zone: Stable regime (ranging)
Transition Markers:
Up triangle: Entering chaos - start trend following
Down triangle: Entering stability - start mean reversion
Divergence Signals:
Bullish: Price makes low but Lyapunov rising (stability breaking down)
Bearish: Price makes high but Lyapunov falling (chaos dissipating)
Dashboard Information
Market State: Current regime (Chaotic/Stable/Transitioning)
Trading Bias: Specific strategy recommendation
Lyapunov λ: Raw value for precision
Signal Strength: Confidence in current regime
Last Change: Bars since last regime shift
Action: Clear trading directive
Trading Strategies
In Chaotic Regime (λ > threshold)
Follow trends aggressively: Breakouts have high success rate
Use momentum strategies: Moving average crossovers work well
Wider stops: Expect larger swings
Pyramid into winners: Trends tend to persist
In Stable Regime (λ < threshold)
Fade extremes: Mean reversion dominates
Use oscillators: RSI, Stochastic work well
Tighter stops: Smaller expected moves
Scale out at targets: Trends don't persist
In Transition Zone
Reduce position size: Uncertainty is high
Wait for confirmation: Let regime establish
Use options: Volatility strategies may work
Monitor closely: Quick changes possible
Advanced Techniques
- Multi-Timeframe Analysis
- Higher timeframe LMI for regime context
- Lower timeframe for entry timing
- Alignment = highest probability trades
- Divergence Trading
- Most powerful at regime boundaries
- Combine with support/resistance
- Use for early reversal detection
- Volatility Correlation
- Chaos often precedes volatility expansion
- Stability often precedes volatility contraction
- Use for options strategies
Originality & Innovation
LMI represents a genuine breakthrough in applying chaos theory to markets:
True Lyapunov Calculation: Not a simplified proxy but actual phase space reconstruction and divergence measurement
Rothko Aesthetic: Transforms complex math into meditative visual experience
Regime Detection: Identifies market state changes before price makes them obvious
Practical Application: Clear, actionable signals from theoretical physics
This is not a combination of existing indicators or a visual makeover of standard tools. It's a fundamental rethinking of how we measure and visualize market dynamics.
Best Practices
Start with defaults: Parameters are optimized for broad market conditions
Match to your timeframe: Adjust tau and evolution steps
Confirm with price action: LMI shows regime, not direction
Use appropriate strategies: Chaos = trend, Stability = reversion
Respect transitions: Reduce risk during regime changes
Alerts Available
Chaos Entry: Market entering chaotic regime - prepare for trends
Stability Entry: Market entering stable regime - prepare for ranges
Bullish Divergence: Potential bottom forming
Bearish Divergence: Potential top forming
Chart Information
Script Name: Lyapunov Market Instability (LMI) Recommended Use: All markets, all timeframes Best Performance: Liquid markets with clear regimes
Academic References
Takens, F. (1981). "Detecting strange attractors in turbulence"
Wolf, A. et al. (1985). "Determining Lyapunov exponents from a time series"
Rosenstein, M. et al. (1993). "A practical method for calculating largest Lyapunov exponents"
Note: After completing this indicator, I discovered @loxx's 2022 "Lyapunov Hodrick-Prescott Oscillator w/ DSL". While both explore Lyapunov exponents, they represent independent implementations with different methodologies and applications. This indicator uses phase space reconstruction for regime detection, while his combines Lyapunov concepts with HP filtering.
Disclaimer
This indicator is for research and educational purposes only. It does not constitute financial advice or provide direct buy/sell signals. Chaos theory reveals market character, not future prices. Always use proper risk management and combine with your own analysis. Past performance does not guarantee future results.
See markets through the lens of chaos. Trade the regime, not the noise.
Bringing theoretical physics to practical trading through the meditative aesthetics of Mark Rothko
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Fractal Time GridOverview
The Fractal Time Grid is a Pine-Script v5 TradingView indicator designed to automate session-based entries, stops, and targets. It overlays on your chart, shading trading “quarters” of any chosen timezone, highlighting bullish or bearish bias zones, and marking up to N entries per quarter with on-chart signals. Optional SL/TP rays and built-in alerts make it a one-stop tool for disciplined session trading.
1. User Inputs
All inputs appear in the indicator’s Settings panel:
Category Input Description
Trend & History Trend Source („Auto“, Bull, Bear) Auto-detects daily bias or forces Bull/Bear
History (days) (≥1) How far back (in days) to keep session shading active
Session Limits Max Entries per 6H Quarter (1–10) Caps how many signals you’ll get in each 6-hour window
Risk Management & Visuals Show Entry/SL/TP Rays (On/Off) Toggles horizontal lines and price labels
SL Method („Bar High/Low“ or „1.5× Candle“) How the stop-loss distance is calculated
Risk:Reward Ratio (e.g. 4.0) Multiplier applied to SL distance to plot TP
Ray Length (bars) (≥1) How far right SL/TP rays extend
Session Timing Timezone Offset (hours, –12 to +14) Shifts session shading to your local clock
Colors Bullish/Bearish Session BG opacity Semi-transparent fill for bias zones
Entry candle colors (Bull/Bear) Highlights actual entry bars
2. Bias Determination
Daily Close vs. Open
Fetches prior-day open/close via request.security(..., "D", …)
If close > open → bullish bias; close < open → bearish
Manual Override
“Bullish” or “Bearish” mode forces one direction
“Auto” follows daily bias
3. Time-Grid Logic
Timezone Handling
Converts UTC bar timestamps by your tzOffset input
Quarter Windows (6H each)
Q1: 23:00–05:00 local
Q2: 05:00–11:00
Q3: 11:00–17:00
Q4: 17:00–23:00
Session Shading
During Q1–Q3 (configurable days back), background colored to match bias
4. Entry Logic
Conditions:
Within an active quarter, bias must match candle direction (bullish candle in bullish quarter, etc.)
Entry count for the quarter must be below your maximum
Counters:
Automatically resets on quarter switch
Tracks how many entries you’ve taken, preventing over-trading
5. Visual Signals
Bar Coloring: Flags entry bars green/red
Shape Markers:
BUY label below bar for long entries
SELL label above bar for shorts
6. Optional SL/TP Rays
When “Show Entry/SL/TP Rays” is enabled:
Computes SL distance either from bar high/low or a multiple of candle size
TP = SL × R:R ratio
Draws three horizontal rays (entry, SL, TP) with end-of-ray price labels
7. Alerts
Pre-built alertcondition calls let you create TradingView alerts instantly:
Names: “BUY Alert” and “SELL Alert”
Messages:
arduino
Copy
Edit
BUY {{ticker}} at {{close}} – Q{{quarter}} – {{entryCount}}/{{maxEntriesQuarter}} entries
(same format for SELL)
8. Why Publish This?
Discipline Built-In: Caps over-trading per session
Timezone-Agnostic: Works equally for NY, London, Tokyo sessions
All-in-One: Bias, timing, entries, risk and alerts in one script
Fully Customizable: Colors, risk settings, time windows, and more
Malama's Candle Sniper Malama's Candle Sniper
This Pine Script is an overlay indicator crafted for TradingView to detect and highlight a variety of bullish and bearish candlestick patterns directly on the price chart. Its primary goal is to assist traders in identifying potential reversal or continuation signals by marking these patterns with labeled visual cues. The indicator is versatile, applicable across different markets (e.g., stocks, forex, cryptocurrencies) and timeframes, making it a valuable tool for enhancing technical analysis and informing trading decisions.
Originality and Usefulness
While the candlestick patterns detected by this script are well-established in technical analysis, "Malama's Candle Sniper" stands out due to its comprehensive nature. It consolidates the detection of numerous patterns—ranging from engulfing patterns to doji variations and multi-candle formations—into a single, unified indicator. This eliminates the need for traders to apply multiple individual indicators, streamlining their charting process and saving time.
The indicator’s usefulness lies in its ability to:
Provide Visual Clarity: Labels are plotted on the chart when patterns are detected, offering immediate recognition of potential trading opportunities.
Broad Pattern Coverage: It identifies both bullish and bearish patterns, accommodating various market conditions and trading strategies.
This makes it an ideal tool for traders who incorporate candlestick analysis into their decision-making, whether for spotting trend reversals or confirming ongoing momentum.
How It Works
"Malama's Candle Sniper" operates by defining helper functions in Pine Script that evaluate whether specific candlestick pattern conditions are met for the current bar. Each function returns a boolean value (true/false) based on predefined criteria involving the open, high, low, and close prices of the candles. The script then checks for transitions from false to true (i.e., a pattern newly appearing) and plots a corresponding label on the chart.
Bullish Patterns Detected
The script identifies the following bullish patterns, which typically signal potential upward price movements:
Bullish Engulfing: A small bearish candle followed by a larger bullish candle that engulfs it.
Three White Soldiers: Three consecutive bullish candles with higher closes.
Bullish Three Line Strike: Three bullish candles followed by a bearish candle that doesn’t negate the prior uptrend.
Three Inside Up: A bearish candle, a smaller bullish candle within its range, and a strong bullish confirmation candle.
Dragonfly Doji: A doji with a long lower wick and little to no upper wick, opening and closing near the high.
Piercing Line: A bearish candle followed by a bullish candle that opens below the prior low and closes above the midpoint of the prior candle.
Bullish Marubozu: A strong bullish candle with no upper or lower wicks.
Bullish Abandoned Baby: A bearish candle, a doji gapped below it, and a bullish candle gapped above the doji.
Rising Window: A gap up between two candles, with the current low above the prior high.
Hammer: A candle with a small body and a long lower wick, indicating rejection of lower prices.
Morning Star: A three-candle pattern with a bearish candle, a small-bodied middle candle, and a strong bullish candle.
Bearish Patterns Detected
The script also detects these bearish patterns, which often indicate potential downward price movements:
Bearish Engulfing: A small bullish candle followed by a larger bearish candle that engulfs it.
Three Black Crows: Three consecutive bearish candles with lower closes.
Bearish Three Line Strike: Three bearish candles followed by a bullish candle that doesn’t reverse the downtrend.
Three Inside Down: A bullish candle, a smaller bearish candle within its range, and a strong bearish confirmation candle.
Gravestone Doji: A doji with a long upper wick and little to no lower wick, opening and closing near the low.
Dark Cloud Cover: A bullish candle followed by a bearish candle that opens above the prior high and closes below the midpoint of the prior candle.
Bearish Marubozu: A strong bearish candle with no upper or lower wicks.
Bearish Abandoned Baby: A bullish candle, a doji gapped above it, and a bearish candle gapped below the doji.
Falling Window: A gap down between two candles, with the current high below the prior low.
Hanging Man: A candle with a small body and a long lower wick after an uptrend, signaling potential reversal.
Label Plotting
When a pattern is detected (i.e., its condition transitions from false to true):
Bullish Patterns: A label is plotted at the high of the bar, using a green background with white text and a downward-pointing style (e.g., "Bull Engulf" for Bullish Engulfing).
Bearish Patterns: A label is plotted at the low of the bar, using a red background with white text and an upward-pointing style (e.g., "Bear Engulf" for Bearish Engulfing).
This visual distinction helps traders quickly differentiate between bullish and bearish signals and their precise locations on the chart.
Strategy and Risk Management
Backtesting: "Malama's Candle Sniper" is strictly an indicator and does not include backtesting capabilities or automated trading signals. It does not simulate trades or provide performance statistics such as win rates or profit/loss metrics.
Risk Management: As an informational tool, it lacks built-in risk management features. Traders must independently implement strategies like stop-loss orders, take-profit levels, or position sizing to manage risk when acting on the detected patterns. For example, a trader might place a stop-loss below a Hammer pattern’s low or above a Hanging Man’s high to limit potential losses.
User Settings and Customization
Inputs: The script does not offer user-configurable inputs. All pattern detection logic is hardcoded, meaning traders cannot adjust parameters such as lookback periods or pattern sensitivity through the interface.
Customization: Advanced users with Pine Script knowledge can modify the code directly to:
Add or remove patterns.
Adjust the conditions (e.g., tweak the wick-to-body ratio for a Hammer).
Change label styles or colors.
However, the default version is fixed and ready-to-use as is.
Visualizations and Chart Setup
Plotted Elements:
Bullish Labels: Appear at the candle’s high with a green background, white text, and a downward-pointing arrow (e.g., "Hammer").
Bearish Labels: Appear at the candle’s low with a red background, white text, and an upward-pointing arrow (e.g., "Hanging Man").
Chart Setup: The indicator is configured as an overlay (overlay=true), meaning it integrates seamlessly with the price chart. Labels are displayed directly on the candlesticks, eliminating the need for a separate pane and keeping the focus on price action.
Usage Example
To use "Malama's Candle Sniper":
Add the indicator to your TradingView chart via the Indicators menu.
Observe the price chart for green (bullish) or red (bearish) labels as they appear.
Analyze the context of each pattern (e.g., trend direction, support/resistance levels) to decide on potential trades.
Apply your own entry, exit, and risk management rules based on the signals.
For instance, spotting a "Morning Star" label during a downtrend near a support level might prompt a trader to consider a long position, while a "Dark Cloud Cover" at resistance could signal a short opportunity.
Sentival | QuantEdgeBIntroducing Sentival by QuantEdgeB.
An Adaptive Multi-Factor Indicator for Market Valuation & Trend Strength
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Overview
The Sentival Valuation System is a medium-term, multi-factor valuation tool designed to assess market conditions using a combination of momentum, mean reversion, and risk-adjusted metrics. It provides traders and investors with a dynamic score reflecting market valuation, ranging from strongly oversold to strongly overbought conditions.
This system leverages a diverse range of technical indicators, including momentum oscillators, volatility measures, risk ratios, and mean-reversion metrics, providing a holistic view of market conditions.
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1. Key Features
🛠 Multi-Factor Valuation Model
Sentival aggregates nine different indicators, normalizing and rescaling them into a standardized z-score-based valuation system. The final output represents an average of the selected indicators, allowing for flexible customization based on the user’s preference.
📊 Customizable Indicator Selection
Users can enable or disable any of the nine valuation factors, ensuring the system adapts to different market environments, trading styles, and assets.
🔄 Multi-Timeframe Adaptability
Sentival can be used across different time horizons, making it suitable for short-term mean reversion, medium-term traders, or long-term valuation analysis by simply adjusting the timeframe and indicator settings. This flexibility allows traders to adapt Sentival to various market conditions and trading objectives.
🎨 Intuitive Dashboard & Color Coding
- Dynamic Heatmap & Dashboard: Displays valuation strength across multiple factors.
- Gradient-Based Overbought/Oversold Signals: Clear color-coded signals for easy interpretation.
- Background Highlighting: Optional oversold/overbought background zones.
🏆 Statistical & Risk-Based Insights
- Standardized Rescaling & Z-Score Analysis to prevent bias from individual indicators.
- Risk-Adjusted Metrics such as Sharpe, Sortino, and Omega Ratios help assess the overall market risk appetite.
- Trend Following Mode (TF Display): Users can enable the "Trend Following" option to display the trend direction, helping to align valuation signals with the broader market trend.
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2. How It Works
Sentival is a multi-factor trend and momentum analysis system, designed to track market cycle shifts using a combination of volatility, momentum, risk assessment, and valuation mechanisms. Instead of focusing on one dimension of the market, Sentival integrates multiple methodologies to cross-validate signals and reduce noise. Each indicator in Sentival plays a specific role, ensuring confirmation across different market conditions.
How Each Component Works Together
1️⃣ Chande Momentum Oscillator (CMO)
• A momentum-based measure that determines whether price action is dominated by upward or downward forces.
• Works well in combination with volatility measures to confirm whether a move is sustainable.
2️⃣ Disparity Index
• Measures the distance between price and its moving average, acting as an overextension filter.
• Ensures that trend-following signals are not driven by short-term spikes but sustained trends.
3️⃣ Bollinger Bands % (BB%)
• A volatility measure that indicates how far price is from the statistical mean.
• Helps identify trend exhaustion points where price moves become unstable.
4️⃣ Relative Strength Index (RSI)
• A trend confirmation layer, ensuring that momentum strength aligns with price movement.
• Adds an additional check to prevent false breakouts.
5️⃣ Rate of Change (RoC)
• Captures the speed of price movement, ensuring that the market has enough momentum for trend continuation.
• Works well with risk indicators to filter weaker moves.
6️⃣ Price Z-Score
• A statistical tool to measure how far price is from its long-term equilibrium.
• Helps prevent entering overstretched trends too late.
7️⃣ Risk Ratios (Sharpe, Sortino, Omega)
• This is the risk-adjusted performance component, ensuring that trends have a healthy risk-reward balance.
• Helps determine when a trend has structurally strong backing rather than speculative movement.
8️⃣ Hurst Cycle Analysis
• Measures the persistence of trends by analyzing price fractals.
• Ensures that the market regime is either trending or mean-reverting, improving trade confidence.
9️⃣ Commodity Channel Index (CCI)
• Helps identify strong trend conditions, adding another layer of momentum confirmation.
• Works well with other oscillators to prevent misreading counter-trends.
🔗 Why These Components Work Well Together
• Momentum + Volatility + Risk → Instead of relying on a single category, Sentival merges multiple dimensions of market behavior into a cohesive signal.
• Filters Out False Signals → Combining momentum oscillators, volatility measures, and risk-adjusted metrics ensures high-confidence entries.
• Adaptability Across Market Regimes → Whether the market is trending, consolidating, or volatile, the system adjusts dynamically.
• Cross-Validation for Trend Strength → If multiple components align, it increases certainty that a trend is real and sustainable.
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3. Sentival Scanner - table breakdown
The dashboard-style table generated is designed to give traders a holistic market view at a glance. It processes a variety of technical signals and distills them into readable labels, visual strength bars, and actionable trend states. Here's a breakdown of what each section means:
1. Direction
This section analyzes whether the average Z-score (a composite of several indicators) is increasing, decreasing, or neutral over time. It does this using a smoothed trend of the Z-score, comparing recent values to older ones.
2. Momentum
Momentum is derived from the rate of change (RoC) of the average Z-score. It evaluates how strong the current move is. If momentum is above a certain positive threshold, it’s considered positive, if below a negative threshold, it’s negative, otherwise it’s neutral.
3. Impulse
Impulse reflects the velocity of momentum — in other words, is the market speeding up or slowing down? High positive values suggest strong acceleration (strong impulse), while negative values show deceleration or stalling.
4. Drive
This metric combines momentum and velocity to create a descriptive phrase that captures the market’s behavior. For example:
• “Strong Upside” means strong momentum with acceleration.
• “Fading Downside” means bearish momentum losing steam.
• “Neutral” appears when momentum is indecisive.
5. Deviation Distance
This represents how far the market price is from fair value in terms of standard deviation units (σ). It’s calculated using Z-scores and classified as:
• +1σ, +2σ, etc., for overvalued regions.
• −1σ, −2σ, etc., for undervalued areas.
• “At Fair Value” if close to the mean.
6. Bull and Bear Strength Bars
The system computes both bullish and bearish strength, using distance from fair value, the rate of change, and the velocity. These strengths are displayed as progress bars, giving a quick visual cue of conviction. The table labels them as:
• “Bull Conviction” if there's a long bias.
• “Bull Potential” if bullish but undecided.
• “Bear Conviction” or “Bear Potential” for short-side equivalents.
7. Trend Signal
This is a simple label that tells you if the scanner recommends a Long, Short, or Cash (neutral) stance based on threshold logic. It is based on whether the average Z-score crosses above a long threshold or below a short one.
8. Stage
The “Stage” label summarizes the valuation environment based on the composite Z-score:
• Strong Undervalued
• Moderately Undervalued
• Fair Value
• Overvalued, etc.
This stage helps traders know whether they are operating in cheap or expensive territory statistically.
Summary
Overall, this table merges advanced technical signals like momentum, volatility, valuation, and risk into a digestible format that updates dynamically with each bar. The goal is to provide traders with a 360° perspective on market conditions, tailored for both trend-following and mean-reversion strategies.
___________
4. Sentival Valuation Score & Interpretation
🔹 Sentival Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note: Past valuations and buy/sell signals generated by Sentival do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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5. Use Cases & Applications
🔹 📊 Market Rotation & Asset Allocation
- Used as a valuation model to determine if a market or asset is undervalued or overvalued.
- Rotational strategies can benefit from the valuation score by switching exposure between assets.
🔹 📈 Medium-Term Trend Identification
- Detects overbought and oversold conditions while filtering out short-term noise.
- Can be combined with other trend-following indicators for confluence-based strategies.
🔹 🔄 Mean Reversion & Momentum Trading
- Provides statistical validation for momentum breakouts or mean reversion signals.
- Useful for long-short trading strategies, determining optimal entry & exit points.
____
Conclusion
Sentival is a powerful universal valuation system for traders and investors seeking a data-driven, multi-factor approach to market valuation. With its combination of momentum, trend, risk-adjusted, and mean-reversion indicators, it provides a robust, adaptable, and statistically sound framework for making informed market decisions.
🔹 Who Should Use Sentival?
✅ Swing Traders & Medium-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
0x278's Swing-Failure-Pattern (SFP)0x278's Swing-Failure-Pattern (SFP) ‑ Confirmed Short
Table of Contents
Introduction
Core Concept – What Is an SFP?
How the Indicator Works
Visual Elements & Their Meaning
Input Parameters Explained
Step-by-Step Trading Playbook
Example Workflow (Daily BTC-USDT)
Alerts & Automation
Tips, Tricks & Best Practices
FAQ
Advanced Configuration & Asset-Class Playbook
1. Introduction
The Swing-Failure-Pattern (SFP) – Confirmed Short indicator spots and tracks bearish SFPs on any market and timeframe, with defaults tuned for Daily charts.
A bearish SFP occurs when price sweeps a prior swing high (liquidity grab) and then decisively rejects lower , signalling a possible trend reversal or sharp pullback.
This script automatically:
Identifies the liquidity sweep & rejection (‐"SFP-SHORT" label)
Confirms directional intent via a structure-breaking close below the setup low
Paints a preferred sell-on-retest zone and tracks its validity
Identifies optimal entry opportunities when price retests the zone
Generates optional retest and entry alerts when trading conditions appear
Self-cleans after a configurable number of bars – keeping your chart tidy
Default Timeframe : Daily
Default Market : Crypto / FX majors
Works On : All symbols + timeframes – simply adjust parameters.
2. Core Concept – What Is an SFP?
Sweep (Liquidity Grab) – Price trades above a meaningful swing high, triggering stops & inducing breakout buyers.
Rejection – The same bar (or the next) closes back below the swept high, invalidating the breakout.
Structure Break – Bears confirm intent by closing below the "setup low" (the most recent pivot low before the sweep).
Retest – Price retraces to the sweep zone. Traders seek entries inside the upper half of that zone with invalidation just above the swing high.
The indicator encodes these four steps so you can spot high-quality bearish reversals without manual bar-by-bar analysis.
3. How the Indicator Works
Phase: Sweep & Rejection
Script Logic: high > lastSwingHigh and close < lastSwingHigh
Visual Cue: Red SFP-SHORT label above candle
Phase: Structure Break
Script Logic: Close < setupLow while pattern locked
Visual Cue: Zone (red line-box) plotted; SFP-SHORT label stays
Phase: Retest Tracking
Script Logic: Zone stays active for retestExpiry bars or until tapped
Visual Cue: Orange SFP-RETEST label when hit
Phase: Entry Signal
Script Logic: Price rejection within retest zone
Visual Cue: Green ENTRY label at optimal entry point
Phase: Expiry / Cleanup
Script Logic: Zone deleted after expiry
Visual Cue: Labels fade but remain visible for reference
All calculations reset after each completed/expired pattern ensuring fresh, uncluttered signals.
4. Visual Elements & Their Meaning
SFP-SHORT (red) – Bar that swept a prior high and closed below it.
Red Box / Line – Preferred sell zone between the swing high (upper bound) and dynamic lower bound (see sizing methods). Extends right until filled/expired.
SFP-RETEST (orange) – Bar that first tags the zone after confirmation.
ENTRY (green) – Appears when a high-probability entry signal occurs within the retest zone.
EXPIRED (gray) – Appears when the retest zone expires without being hit.
Visual Persistence – Labels fade but remain visible after expiry for reference and historical analysis.
5. Input Parameters Explained
Pivot Detection
Pivot left / right : Bars left/right of the pivot that must stay below/above it. Tip : Symmetrical values (3/3) work best for clean structure.
Retest Management
Retest expiry (bars) : Lifespan of a retest zone before it is considered stale. Default: 14 bars on Daily . Tip : Shorten for intraday, lengthen for swing trading.
Retest Zone Sizing
Sizing method : Select Static %, ATR-based or Hybrid logic for the lower boundary. Tip : Hybrid balances tight stops with realistic fills.
Static % : Fixed fraction of sweep range when Static/Hybrid is selected. Tip : Higher % deepens zone & widens stop.
ATR period : Look-back length for ATR when volatility sizing is used. Tip : Increase to smooth choppy markets.
ATR multiplier : Multiplier applied to ATR in ATR-based/Hybrid mode. Tip : Higher value widens zone during volatility.
Visual – Retest Zone
Show retest zone box : Toggles drawing of the semi-transparent sell zone box. Tip : Disable for ultra-clean look.
Retest box color : Fill colour of the box (alpha = transparency). Tip : Match your chart theme.
Max retest boxes : How many historical boxes remain visible (0 = unlimited). Tip : Lower to boost performance.
Only show active boxes : Automatically deletes a box once it's hit. Tip : Reduces clutter during back-testing.
Visual – General
Minimal mode : Hides most visuals apart from critical labels. Tip : Ideal for screenshots.
Show retest zone line : Draws a vertical line linking upper/lower boundaries. Tip : Acts as a quick depth guide.
Show ENTRY labels : Plots 'ENTRY' on optimal candles. Tip : Turn off for manual confirmation.
Labels
Label size : Overall size of all labels. Tip : tiny / small / normal.
Use simple label style : Switches to pixel text style for labels. Tip : Faster rendering on low-spec machines.
Advanced
minPct / maxPct (hard-coded) : Internal floor/cap for Hybrid logic. Tip : Exposed in code for power-users only.
Zone-Sizing Methods
Static – Lower bound = sweepRange × staticPct.
ATR-based – Lower bound = ATR × multiplier, normalised to the sweepRange.
Hybrid – Uses the greater of Static and ATR-based (capped by an internal safety ceiling).
6. Step-by-Step Trading Playbook
Identify Context – Prefer setups against extended moves into obvious highs (e.g., daily swing highs, prior week high, round numbers).
Wait for SFP Confirmation – The indicator will label an SFP-SHORT only after the candle closes. Do not front-run.
Structure-Break Close – A close below setupLow turns the zone live. This is your go signal – prepare sell orders.
Place Orders in the Zone
Entry : Limit order anywhere between retestLower and the swing high.
Stop : 1-2 ticks/pips above the swing high.
Risk Management
Size position so risk per trade ≤ account risk % (common: 0.5-1%).
If no retest before retestExpiry bars → cancel order .
Targets
Conservative: First liquidity pocket / FVG below.
Aggressive: 2-3× risk or next HTF support.
Trail or Partial – Consider trailing stop once 1R is achieved or partial profit at 1R.
7. Example Workflow (Daily BTC-USDT)
BTC trades to a fresh one-month high at $31 050 sweeping prior highs.
Candle closes at $30 420 – below the swept high – SFP-SHORT label appears.
Two days later, candle closes below setupLow at $29 880 – confirmation & zone plotted (upper = $31 050, lower ≈ $30 550).
Five days later price retests the zone hitting $30 750 – SFP-RETEST alert fires, trade filled.
Stop placed @ $31 120 (70$ risk). 1R target = $29 680 reached four days later.
8. Alerts & Automation
SFP Short confirmed
Fires When: Structure-break close below setupLow.
Suggested Action: Prepare/submit sell-limit order in the zone.
SFP Short retest
Fires When: Price enters the retest zone.
Suggested Action: Monitor for entry signals or prepare for manual entry.
SFP Short Entry Signal
Fires When: Optimal entry conditions detected within retest zone.
Suggested Action: Execute short trade with defined risk parameters.
Use TradingView's Webhook URL to forward alerts to a trade-execution bot (e.g., PineConnector) for automated order placement.
9. Tips, Tricks & Best Practices
Combine with HTF Bias – Only take bearish SFPs in bearish weekly trend.
Watch Volume – High volume on the sweep bar adds conviction.
Time Window – SFPs during NY session FX / US session crypto tend to be stronger.
Cluster Zones – Multiple overlapping SFP zones increase probability; treat the cluster as one larger supply.
Avoid News – Skip SFPs forming minutes before high-impact macro news.
10. FAQ
Q: Can I use this on lower timeframes?
A: Yes – reduce retestExpiry (e.g., 15 bars on 15-minute) and test ATR-based sizing.
Q: Does it work for longs?
A: This script focuses on bearish SFPs. Clone & invert conditions for longs.
Q: Why did a zone disappear?
A: Either it expired (retestExpiry) without a retest or the cleanup routine removed old visuals to stay within Pine limits (500 objects per type).
Q: What's the difference between the "SFP-RETEST" and "ENTRY" signals?
A: "SFP-RETEST" indicates price has entered the zone, while "ENTRY" signals an optimal entry opportunity based on price rejection within the zone.
Q: How do I customize the label appearance?
A: Use the "Label size" and "Use simple label style" settings to adjust all labels to your preferred visual style.
Happy trading & trade safe!
11. Advanced Configuration & Asset-Class Playbook
Why does the retest box feel "too high" and how do I actually get filled? Use the quick tweaks below or the power-user code snippet to shape the zone to your personality and instrument.
11.1 Why the default box is shallow
The Static 25 % / ATR-Hybrid logic keeps stops small. Around 50 % of Daily BTC SFPs never look back – that's the cost of tight risk. If you need higher fill-rates, deepen the zone (11.2).
11.2 Three slider moves – no coding required
Retest zone sizing method – switch Static → Hybrid or ATR-based
Static % – raise from 0.25 → 0.45-0.60
ATR multiplier – raise from 1.0 → 1.5-2.0
Each turn pulls the lower edge of the box deeper while keeping the invalidation at the swing high.
11.3 One-liner for coders
To allow >60 % of the sweep range edit the source:
Old code:
minPct = 0.05
maxPct = 0.60
New code:
minPct = 0.05
maxPct = input.float(0.60, "Max retest % of sweep", step = 0.05, minval = 0.10, maxval = 0.95)
Then dial the cap up to ~0.80-0.90 from the settings panel.
11.4 If price never comes back…
No-retest partial – take 25-40 % size on the confirmation candle, stop above the high.
Lower-TF confirmation – drop to 4 h / 1 h and hunt an internal SFP or bearish FVG inside the sweep.
ATR trail – if price dumps immediately, trail the stop above each new lower-high.
11.5 Asset-Class Cheat-Sheet
Crypto – Daily : Static %: 0.20-0.35, ATR mult: 1.0, Retest Expiry: 12-20 . Notes : High volatility; sweeps expand fast.
FX Majors – 4 h/D : Static %: 0.25-0.40, ATR mult: 1.2, Retest Expiry: 15-25 . Notes : ATR handles session compression.
Index Futures – 1 h : Static %: 0.30-0.50, ATR mult: 1.5, Retest Expiry: 10-20 . Notes : Hybrid recommended; gaps tighten sweeps.
US Equities – 30 m : Static %: 0.35-0.55, ATR mult: 1.5-2.0, Retest Expiry: 10-14 . Notes : Consider no-retest entry on earnings spikes.
Always forward-test on your own symbol & timeframe ✔️
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
Volume-Weighted Price MovementThe Volume-Weighted Price Movement (VWPM) indicator is an easy to read technical analysis tool that analyses how volume and price movement work together to drive market momentum.
How It Works
The VWPM indicator tracks two primary components:
Bullish Movement (green line): Measures the upward price movement weighted by volume. When price closes above the open, this component calculates how much buying pressure exists by multiplying the price change (close - open) by the volume of that period.
Bearish Movement (red line): Measures the downward price movement weighted by volume. When price closes below the open, this component calculates how much selling pressure exists by multiplying the price change (open - close) by the volume of that period.
Bull-Bear Difference (lime/orange line): Shows the net momentum by subtracting bearish movement from bullish movement, providing an at-a-glance view of which force is dominant.
The VWPM integrates volume data to identify whether price movements are backed by significant participation. A large price move with low volume carries less weight than the same move with high volume, providing a more accurate reflection of market strength.
A shorter lookback period makes the indicator more responsive to recent price action, while a longer period smooths out market noise for trend identification.
Interpretation
Bullish Signals
When the green line (bull movement) rises and stays above the red line
When the Bull-Bear Difference line crosses above zero and maintains positive momentum
Divergence between price making lower lows but the bull line making higher lows (hidden strength)
Bearish Signals
When the red line (bear movement) rises and stays above the green line
When the Bull-Bear Difference line crosses below zero and maintains negative momentum
Divergence between price making higher highs but the bull line making lower highs (hidden weakness)
open source, if anyone makes the script better please let me know :)
Trend Finder Using Pull Back Method {Darkoexe}This indicator predicts trends using pull backs structure to predict the trend direction. It builds off the flag pattern concept but it uses precise precise measurements to determine trend direction.
A pull back occurs every time the price direction switches then closes either below or above the open of the previous candle depending on the type of pull back, bullish or bearish.
For an up trend to be a defined, when a bullish pull back occurs and does not go below the previous low, if the price then passes above the start of the pull back, an up trend signal will be printed. Only bullish pull backs will be displayed during an up trend.
For a down trend to be defined, when a bearish pull back occurs and does not go above the previous high, if the price then passes below the start of the pull back, a down trend signal will be printed. Only bearish pull backs will be displayed during a down trend.
If the conditions for an up trend or down trend are not met, no trend will be printed. Both bearish and bullish pull backs will be displayed during a no trend.
All the labels colors can be changed.
//Darkoexe
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview
The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter.
Core Calculation Mechanism
Linear Regression Core :
-A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period.
-The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise.
-The slope of this regression line is continuously calculated to determine the current trend direction and strength.
Volatility Channel :
-Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode.
-The width of these bands is determined by market volatility, using one of three user-selectable modes:
ATR Mode : Bandwidth is a multiple of the Average True Range (ATR).
Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data.
Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel.
The channel helps identify dynamic support and resistance levels and assess market volatility.
Future Projection :
The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics.
Candle Heatmap Coloring :
-Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands.
-Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope.
Background Volatility Pulse :
The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility.
Trend Strength Meter :
An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends.
Key Features & Components
-Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring.
-Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width.
-Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread.
-Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths.
-Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint.
-Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility.
-On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength.
-Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements.
-Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding.
Visual Elements Explained
Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions.
Volatility Channel :
Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels.
Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band.
Band Borders : The lines outlining the upper and lower bands, with customizable color and width.
Future Projection Lines & Fill :
Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed).
Projected Channel Bands : Extensions of the upper and lower volatility bands.
Projected Area Fill : A semi-transparent fill between the projected upper and lower bands.
Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders.
Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime.
Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend.
Configuration Options
Users can tailor the indicator extensively via the settings panel, with options logically grouped:
Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line.
Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness.
Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills.
Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas.
Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint.
Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation.
Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size.
Interpretation Notes
-The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight.
-The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation.
Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist.
Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel.
The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness.
This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system.
Risk Disclaimer
Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
Stop Cascade Detector Stop Cascade Detector (DAFE)
Unlock the Hidden Triggers of Market Momentum!
The Stop Cascade Detector (Bull & Bear, Info Bubble) is a next-generation tool designed for traders who want to see what the crowd can’t: the precise moments when clusters of stop orders are being triggered, unleashing explosive moves in either direction. The reason for this is traders taking there position too early. We on the other hand will take our positions once the less informed traders have been liquidated.
What Makes This Indicator Unique?
Not Just Another Volatility Tool:
This script doesn’t just measure volatility or volume. It detects the chain reactions that occur when price and volume spikes combine to trigger stop-loss clusters—events that often precede the most powerful surges and reversals in any market.
Directional Intelligence:
Unlike generic “spike” detectors, this tool distinguishes between bullish stop cascades (green, above the bar) and bearish stop cascades (red, below the bar), giving you instant clarity on which side of the market is being liquidated.
Visual Precision:
Each event is marked with a color-coded info bubble and a triangle, clearly separated from the price bars for maximum readability. No more guessing where the action is—see it, trade it, and stay ahead.
Universal Application:
Works on any asset, any timeframe, and in any market—futures, stocks, crypto, forex. If there are stops, this indicator will find the cascade.
What makes it work?
Momentum + Volume Spike:
The detector identifies bars where both price momentum and volume are simultaneously extreme (using Z-scores). This combination is a classic signature of stop runs and forced liquidations.
Bull & Bear Detection:
Bull Stop Cascade : Price plunges downward with a volume spike—likely longs getting stopped out.
Bear Stop Cascade: Price surges upward with a volume spike—likely shorts getting stopped out.
Info Bubbles:
Each event is labeled with the exact Z-scores for momentum and volume, so you can gauge the intensity of the cascade at a glance.
What will it do for you?
Front-Run the Crowd:
Most traders react after the move. This tool helps you spot the cause of the move—giving you a tactical edge to fade exhaustion, ride momentum, or avoid getting trapped.
Perfect for Scalpers, Day Traders, and Swing Traders:
Whether you’re looking for high-probability reversals or want to ride the wave, knowing when stops are being triggered is a game-changer.
No More Blind Spots:
Stop cascades are the hidden fuel behind many of the market’s biggest moves. Now you can see them in real time.
How to Use
Red Bubble Above Bar: Bear stop cascade detected—watch for possible trend acceleration or reversal.
Green Bubble Below Bar: Bull stop cascade detected—watch for possible trend acceleration or reversal.
Combine with Your Strategy : Use as a confirmation tool, a reversal signal, or a filter for high-volatility environments. Level up your trading. See the market’s hidden triggers.
Stop Cascade Detector: Because the real edge is knowing what sets the market on fire.
For educational purposes only. Not financial advice. Always use proper risk management.
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
NeuroFlow Pro IndicatorThe **NeuroFlow Pro Indicator** is a comprehensive technical analysis tool designed for traders on the TradingView platform. It provides actionable buy and sell signals by combining multiple technical indicators, including Moving Averages, MACD, RSI, Stochastic RSI, SuperTrend, Ichimoku Cloud, Bollinger Bands, and Volume analysis. The indicator generates a **Composite Score** (0–100) that reflects market conditions, with low scores indicating bullish opportunities and high scores suggesting bearish conditions. It also identifies key trend reversal points and significant EMA crossovers (Golden Cross and Death Cross) to help traders make informed decisions.
**Key Features**:
- **Composite Score**: Aggregates signals from multiple indicators to provide a single, easy-to-read metric.
- **Buy/Sell Signals**: Generates clear signals for potential long (buy) and short (sell) opportunities.
- **Golden/Death Cross**: Marks EMA 50 crossing above (🚀) or below (💀) EMA 200, indicating major trend shifts.
- **Dashboard**: Displays real-time metrics like trend direction, momentum, volume, and signal confidence.
- **Customizable Alerts**: Notifies users of buy/sell signals, divergences, and EMA crossovers via TradingView’s alert system.
- **Multi-Timeframe Analysis**: Incorporates higher timeframe trends for enhanced signal reliability.
- **Candlestick Patterns**: Optionally includes patterns like Hammer, Engulfing, or Morning Star for signal confirmation.
This indicator is ideal for traders seeking a robust, all-in-one tool to identify trading opportunities across various markets (e.g., crypto, stocks, forex) and timeframes (e.g., 1H, 4H, daily).
User Guide for NeuroFlow Pro Indicator
Understanding the Indicator
- **Dashboard**:
- Located on the chart (left or right, configurable), it shows real-time metrics:
- **Comp Score**: Composite Score (0–100); low (<30) is bullish, high (>70) is bearish.
- **Trend**: Bullish, Bearish, or Neutral
- **MTF Trend**: Trend from a higher timeframe (e.g., 60m or 240m).
- **Momentum**: RSI and Stochastic RSI-based momentum (Bullish, Bearish, Neutral).
- **MFI**: Money Flow Index (Inflow, Outflow, Neutral).
- **Volatility**: High or Low based on ATR and Bollinger Bands.
- **Volume**: High, Low, or Neutral relative to volume MA.
- **Ichimoku**: Bullish, Bearish, or Neutral based on cloud position.
- **ADX Strength**: Strong or Weak trend based on ADX.
- **Divergence**: Bullish, Bearish, or Neutral for RSI/MACD divergences.
- **Reversal**: Bullish or Bearish reversal potential with confidence percentage.
- **Signal Status**: Long (buy), Short (sell), or None.
- **Signal Confid**: Confidence percentage for the current signal.
- **Chart Visuals**:
- **EMA 50 (White)**: Fast-moving average for short-term trends.
- **EMA 200 (Blue)**: Long-moving average for long-term trends.
- **Golden Cross (🚀)**: Green rocket emoji when EMA 50 crosses above EMA 200 (bullish).
- **Death Cross (💀)**: Red skull emoji when EMA 50 crosses below EMA 200 (bearish).
- **Alerts**:
- Configurable for Buy/Sell Signals, Golden/Death Cross, and Bullish/Bearish Divergences.
Configuring Settings
1. **Open Settings**:
- Right-click the indicator’s name on the chart and select “Settings,” or double-click the indicator in the chart’s indicator list.
2. **Key Settings to Customize**:
- **Strategy Settings**:
- **Max ATR Multiplier**: Adjusts sensitivity to volatility (default: 3.0).
- **Main Settings**:
- **Candlestick Pattern**: Choose Hammer, Engulfing, Morning Star, or Custom (default: Hammer).
- **Multi-Timeframe Period**: Set higher timeframe for trend analysis (e.g., 60m, 240m, Daily; default: 60m).
- **Higher Timeframe**: Secondary timeframe for confirmation (default: 240m).
- **Use Candlestick Patterns**: Enable/disable pattern-based signals (default: off).
- **Use Volume Filter**: Require high volume for signals (default: on).
- **Use ADX Filter**: Require strong trend for signals (default: on).
- **Momentum Settings**:
- **RSI/Stochastic/MFI Lengths**: Adjust periods for RSI, Stochastic RSI, and MFI (defaults: 14, 14, 60).
- **EMA Lengths**: Fast (50), Slow (100), Long (200) for trend and crossovers.
- **ATR/ADX Lengths**: Volatility and trend strength periods (default: 14).
- **SuperTrend/Bollinger/Ichimoku Settings**:
- Customize periods and multipliers (defaults: SuperTrend 10/3.0, Bollinger 20/2.0, Ichimoku 9/26/52).
- **MACD Settings**:
- **MACD Preset**: Auto (timeframe-based), 1H (3-10-16), 4H (5-34-21), D (5-15-9), or Custom (default: Auto).
- **Custom MACD Lengths**: Fast (12), Slow (26), Signal (9) for Custom preset.
- **Weights Settings**:
- Adjust weights for trend, momentum, volatility, etc., to prioritize certain indicators (defaults: Trend 1.0, Momentum 0.3, etc.).
- **Threshold Settings**:
- **Bullish/Bearish Reversal Thresholds**: Set score thresholds for reversals (default: 30/70).
- **ADX Threshold**: Minimum ADX for trend strength (default: 20).
- **Signal Thresholds**: Base (70) and alert (80) thresholds for signals.
- **Dashboard Settings**:
- **Position**: Left or Right (default: Right).
- **Show/Hide Metrics**: Enable/disable dashboard rows (e.g., Comp Score, Trend, MFI; all enabled by default except Volatility and Volume MA).
3. **Save Changes**:
- Click “OK” to apply settings. The dashboard and plots update instantly.
Using the Indicator
1. **Interpreting Signals**:
- **Buy Signal (Long)**: Appears when Composite Score is low (≤30), with at least two bullish confirmations . Shown as “Long” in Signal Status with confidence percentage.
- **Sell Signal (Short)**: Appears when Composite Score is high (≥70), with at least two bearish confirmations. Shown as “Short” in Signal Status.
- **Golden Cross (🚀)**: Indicates a bullish trend when EMA 50 crosses above EMA 200. Look for confirmation from Composite Score and Signal Status.
- **Death Cross (💀)**: Indicates a bearish trend when EMA 50 crosses below EMA 200. Confirm with dashboard metrics.
- **Reversal Signals**: Dashboard shows “Bullish” or “Bearish” with a percentage when reversal conditions are met .
2. **Monitoring the Dashboard**:
- Use the dashboard to assess market conditions in real-time.
- Green (bullish), red (bearish), or gray (neutral) colors highlight key metrics.
- Check “Signal Confid” for confidence in buy/sell signals (higher is better, e.g., >60%).
3. **Trading Decisions**:
- Combine signals with your own analysis (e.g., support/resistance, news).
- Use Golden/Death Cross for long-term trend confirmation.
- Avoid trading in high volatility (dashboard: “Volatility: High”) unless experienced
Best Practices
- **Timeframe Selection**:
- Use higher timeframes (e.g., 4H, Daily) for more reliable signals, especially for Golden/Death Cross.
- Lower timeframes (e.g., 5m, 15m) may produce more signals but with higher noise.
- **Confirm Signals**:
- Cross-check buy/sell signals with dashboard metrics (e.g., Trend, MFI, ADX).
- Use Golden/Death Cross as a trend filter rather than a standalone signal.
- **Risk Management**:
- Always use stop-losses and position sizing based on your risk tolerance.
- Avoid trading during high volatility unless part of your strategy.
- **Regular Updates**:
- Monitor TradingView for script updates from the author (KoKalito) to access new features or bug fixes.
Troubleshooting
- **No Signals**:
- Ensure the chart timeframe matches your settings (e.g., 60m for MTF Period).
- Check if filters (Volume, ADX) are too strict; try disabling them.
- **Dashboard Missing**:
- Verify “Dashboard Position” is set to Left or Right.
- Ensure dashboard metrics are enabled (e.g., Show Comp Score).
- **Alerts Not Triggering**:
- Confirm the alert condition is set to “NeuroFlow Pro Indicator” and the correct option (e.g., “Golden Cross Alert”).
- Check TradingView’s “Alerts” panel for errors or expired alerts.
- Reapply the indicator to the chart if it was recently updated.
- **EMA Crosses Not Showing**:
- Zoom in on the chart to see 🚀 (Golden Cross) or 💀 (Death Cross) symbols.
- Ensure EMA 50 and EMA 200 lengths are not identical (defaults: 50, 200).
Support
- **Author**: KoKalito (check TradingView profile for updates or contact info).
- **TradingView Community**: Post questions in the TradingView Pine Script community or forums.
- **Documentation**: Refer to TradingView’s Pine Script v5 documentation for advanced customization.
- **Risk Warning**: Trading involves risk. Use the indicator as a tool, not a guarantee of profits. Always conduct your own analysis and manage risk appropriately.
Happy trading with **NeuroFlow Pro Indicator**! 🚀
[blackcat] L1 Rhythm OscillatorOVERVIEW 📊💡
The L1 Rhythm Oscillator is an advanced oscillator designed to identify potential entry points in financial markets using a combination of Williams %R indicators and Time-Varying Moving Averages (TVMAs). This script provides traders with clear buy and sell signals that help them capitalize on trends while minimizing risk.
FEATURES 💡🌟
Williams %R Analysis:
Base Indicator (WR0): Measures overbought/oversold conditions within a specified period.
Smoothed Indicators (WR1 & WR2): Further refined versions of WR0 to filter out noise and highlight significant trends.
Dynamic Bands:
Bull Band: Shaded area between WR0 and the bullish threshold when WR0 falls below the defined level.
Bear Band: Shaded area between WR0 and the bearish threshold when WR0 exceeds the defined level.
Trading Signals:
Buy Signal: Generated when WR1 crosses above WR2, indicating a potential upward trend reversal.
Sell Signal: Triggered when WR1 crosses below WR2, suggesting a downward trend shift.
Thresholds:
Bull Threshold (default 60%): Marks levels where the asset is considered relatively undervalued.
Bear Threshold (default 40%): Indicates regions where the asset might be overvalued.
Visual Enhancements:
Colored Bands: Clearly distinguish between bullish and bearish areas.
Horizontal Lines: Provide quick reference points for overbought/oversold levels.
Labels: Display "BUY" and "SELL" markers at key signal locations.
HOW TO USE ⚙️📈
Add the Indicator to Your Chart:
Open your preferred asset's chart on TradingView.
Click on “Indicators” and search for “ L1 Rhythm Oscillator.”
Add the indicator to your chart.
Customize Parameters:
Adjust these inputs according to your trading strategy:
WR Period: Sets the lookback window for calculating Williams %R.
Bull Threshold: Defines the upper limit for bullish territory.
Bear Threshold: Establishes the lower boundary for bearish territory.
TVMA Length: Controls the sensitivity of the moving average used in calculations.
Interpret Visual Elements:
Yellow Line (WR1): The first smoothed version of the base Williams %R.
Fuchsia Line (WR2): The second smoothed line derived from WR1 via TVMA.
Lime-Shaded Area: Represents Bull Band where prices are potentially undervalued.
Red-Shaded Area: Symbolizes Bear Band indicating possible overvaluation.
Horizontal Lines:
Value 0% represents perfect overbought condition.
Value 100% indicates extreme oversold state.
Bull/Bear thresholds provide additional context for interpreting market sentiment.
Act on Crossovers:
Look for instances where WR1 crosses through WR2:
When WR1 moves above WR2 → Potential BUY opportunity.
When WR1 dips below WR2 → Likely SELL scenario.
Consider Contextual Factors:
Combine the oscillator signals with other technical indicators like MACD, RSI, or volume analysis for more robust decision-making.
Be aware of broader market trends and news events that could impact price movements.
Manage Risk:
Always use proper stop-loss orders to protect against adverse price movements.
Consider position sizing based on available capital and risk tolerance.
LIMITATIONS ⚠️🔍
Historical Data Dependency: Like most oscillators, this tool relies on past data patterns which may not always predict future behavior accurately.
False Signals: No single indicator can guarantee correct predictions; false positives/negatives can arise during volatile periods.
Overfitting Risks: Customized settings might work well historically but fail under different market conditions without careful validation.
Complexity: Multiple layers of smoothing and crossover logic require understanding to interpret correctly.
NOTES 🔍📝
Parameter Optimization: Experiment with various combinations of WR Period, Bull/Bear Thresholds, and TVMA Length to find what works best for specific assets and timeframes.
Regular Review: Continuously monitor the performance of the indicator versus actual outcomes, adjusting parameters as needed.
Educational Resources: Deepen your knowledge about oscillator strategies, particularly focusing on how they detect reversals and momentum shifts.
Consistency Key: For successful implementation, maintain consistent rules regarding trade entries/exits regardless of short-term fluctuations.
Multi-Timeframe Engulfing Box, Malaysian SNRMulti-Timeframe Engulfing Box Indicator Documentation
Overview
The Multi-Timeframe Engulfing Box Indicator is a powerful tool for identifying and visualizing bullish and bearish engulfing patterns across multiple timeframes. It creates boxes that extend to the right, highlighting potential support and resistance zones created by these high-probability reversal patterns.
Key Features
Detects both bullish and bearish engulfing patterns
Supports analysis across three timeframes simultaneously (current chart timeframe plus two additional user-defined timeframes)
Displays visual boxes that extend to the right, making it easy to identify potential support and resistance areas
Option to mark failed engulfing patterns with dotted borders
Customizable box appearance with labels showing the timeframe
Configurable maximum number of displayed patterns per timeframe
Highlights bars with engulfing patterns using customizable colors
Input Parameters
General Settings
Label Position: Determines where the timeframe label appears within each box (Center, Top, Bottom, Top Left Corner, Top Right Corner, Bottom Left Corner, Bottom Right Corner)
Mark Failed Engulf: When enabled, the indicator will mark engulfing patterns that have failed by changing their border style to dotted
Current Timeframe Settings
Enable/Disable: Toggle detection of engulfing patterns on the current chart timeframe
Maximum Bull/Bear Patterns: Set how many bull and bear engulfing patterns to display on the current timeframe
Show Label: Option to display the timeframe label inside each box
Box Fill Style: Choose between "None" (transparent), "Solid", or "Semi-Transparent" box fills
Bull/Bear Colors: Customize the colors for bullish and bearish engulfing pattern boxes
Higher Timeframe Settings (TF1 and TF2)
For each of the two additional timeframes, you can configure:
Enable/Disable: Toggle detection of engulfing patterns on this timeframe
Timeframe Selection: Choose which higher timeframe to analyze (e.g., 4h, Daily)
Box Fill Style: Set the transparency of the boxes
Maximum Bull/Bear Patterns: Control how many patterns to display for this timeframe
Show Label: Option to display the timeframe label inside each box
Bull/Bear Colors: Customize the colors for the boxes
Trading Applications
The Multi-Timeframe Engulfing Box Indicator can be used to:
Identify potential reversal zones: Engulfing patterns often signal the end of a trend and the beginning of a reversal.
Spot multi-timeframe confluence: When engulfing patterns align across multiple timeframes, it increases the probability of a significant reversal.
Define support and resistance levels: The boxes extend to the right, creating visual support/resistance zones based on significant price action.
Filter false signals: By marking failed patterns, traders can avoid taking trades based on invalidated setups.
Enhance trade management: The boxes provide visual guidance for stop loss and take profit levels.
Best Practices
Focus on engulfing patterns that align across multiple timeframes for higher probability trades
Pay attention to the size of the engulfing candles - larger engulfing candles generally indicate stronger reversals
Use in conjunction with other indicators or price action analysis for confirmation
Consider the overall market context and trend when interpreting the signals
Filter signals by noting which patterns have failed (dotted border) vs. which remain valid
Support BandsSupport Bands – Discount Zones for Bitcoin
⚡Overview:
-The Support Bands indicator identifies one of the most tested and respected support zones for Bitcoin using moving averages from higher timeframes.
-These zones are visualized through colored bands (blue, white, and violet), simplifying the decision making process especially for less experienced traders who seek high-probability areas to accumulate Bitcoin during retracements.
-Band levels are based on manual backtesting and real-world price behavior throughout Bitcoin’s history.
-Each zone reflects a different degree of support strength, from temporary pullback zones to historical bottoms.
⚡️ Key Characteristics:
-Highlights discount zones where Bitcoin has historically shown strong reactions.
-Uses 3 different levels of supports based on EMA/SMA combinations.
-Offers a clean, non-intrusive overlay that reduces chart clutter.
⚡ How to Use:
-Open your chart on the 1W timeframe and select the BTC Bitstamp or BLX symbol, as they provide the most complete historical data, ensuring optimal performance of the indicator.
-Use the bands as reference zones for support and potential pullbacks.
- Level 3 (violet band) historically marks the bottom of Bitcoin bear markets and is ideal for long-term entries during deep corrections.
- Level 2 (white band) often signals macro reaccumulation zones but usually requires 1–3 months of consolidation before a breakout. If the price closes below and then retests this level as resistance for 1–2 weekly candles, it often marks the start of a macro downtrend.
-Level 1 (blue band) acts as short-term support during strong bullish moves, typically after a successful rebound from Level 2.
⚡ What Makes It Unique:
- This script merges moving averages per level into three simplified bands for clearer analysis.
-Reduces chart noise by avoiding multiple overlapping lines, helping you make faster and cleaner decisions.
- Built from manual market study based on recurring Bitcoin behavior, not just random code.
-Historically backtested:
-Level 3 (violet band) until today has always marked the bitcoin bearmarket bottom.
- Level 2 (white band) is the strongest support during bull markets; losing it often signals a macro trend reversal.
- Level 1 is frequently retested during impulsive rallies and can act as short-term support or resistance.
⚡ Disclaimer:
-This script is a visual tool to assist with market analysis.
-It does not generate buy or sell signals, nor does it predict future movements.
-Historical performance is not indicative of future results.
-Always use independent judgment and proper risk management.
⚡ Why Use Support Bands:
-Ideal for traders who want clarity without dozens of lines on their charts.
- Helps identify logical zones for entry or reaccumulation.
- Based on actual market behavior rather than hypothetical setups.
-If the blue band (Level 1) doesn't hold as support, the price often moves to the white band (Level 2), and if that fails too, the violet band (Level 3) is typically the last strong support. By dividing your capital into three planned entries, one at each level,you can manage risk more effectively compared to entering blindly without this structure.
ADX and DI - Trader FelipeADX and DI - Trader Felipe
This indicator combines the Average Directional Index (ADX) and the Directional Indicators (DI+ and DI-) to help traders assess market trends and their strength. It is designed to provide a clear view of whether the market is in a trending phase (either bullish or bearish) and helps identify potential entry and exit points.
What is ADX and DI?
DI+ (Green Line):
DI+ measures the strength of upward (bullish) price movements. When DI+ is above DI-, it signals that the market is experiencing upward momentum.
DI- (Red Line):
DI- measures the strength of downward (bearish) price movements. When DI- is above DI+, it suggests that the market is in a bearish phase, with downward momentum.
ADX (Blue Line):
ADX quantifies the strength of the trend, irrespective of whether it is bullish or bearish. The higher the ADX, the stronger the trend:
ADX > 20: Indicates a trending market (either up or down).
ADX < 20: Indicates a weak or sideways market with no clear trend.
Threshold Line (Gray Line):
This horizontal line, typically set at 20, represents the threshold for identifying whether the market is trending or not. If ADX is above 20, the market is considered to be in a trend. If ADX is below 20, it suggests that the market is not trending and is likely in a consolidation phase.
Summary of How to Use the Indicator:
Trend Confirmation: Use ADX > 20 to confirm a trending market. If ADX is below 20, avoid trading.
Long Entry: Enter a long position when DI+ > DI- and ADX > 20.
Short Entry: Enter a short position when DI- > DI+ and ADX > 20.
Avoid Sideways Markets: Do not trade when ADX is below 20. Look for other strategies for consolidation phases.
Exit Strategy: Exit the trade if ADX starts to decline or if the DI lines cross in the opposite direction.
Combine with Other Indicators: Use additional indicators like RSI, moving averages, or support/resistance to filter and confirm signals.
Hybrid Momentum Suite [QuantAlgo]The Hybrid Momentum Suite is an advanced momentum-based technical indicator that utilizes a weighted fusion of RSI and CCI, combined with adaptive boundary detection to help traders and investors identify momentum strength and potential reversal zones across different timeframes and asset classes.
🟢 Technical Foundation
The Hybrid Momentum Suite employs a dual-component approach to momentum analysis, incorporating:
Hybrid RSI-CCI Calculation: Uses a customizable ratio for momentum signature creation, allowing traders and investors to balance the characteristics of both indicators
Bi-Directional Component Separation: Automatically separates unified momentum into distinct bullish and bearish forces for independent analysis
Adaptive Impulse Boundary: Uses exponential moving average combined with standard deviation multipliers to detect momentum exhaustion zones
Multi-Level Gradient Visualization: Applies sophisticated layering with varying transparency to show momentum strength and direction changes
The indicator processes price data through multiple filtering stages, applying mathematical principles including weighted averaging, component isolation, and statistical variance analysis. This creates a momentum system that adapts to market volatility while maintaining clarity in directional bias and strength quantification.
🟢 Key Features & Signals
1. Bi-Directional Component Separation
The indicator presents momentum through mathematically isolated histograms that separate bullish and bearish forces for independent analysis.
When bullish momentum is dominant, the bullish component (green) shows greater amplitude than the bearish component.
Similarly, when bearish momentum is dominant, the bearish component (red) shows greater amplitude than the bullish component.
During transitional periods, components may show equal strength, indicating momentum equilibrium.
This visualization provides immediate insights into:
→ Competing market forces simultaneously
→ Momentum exhaustion before reversals
→ Quantified momentum strength across different timeframes
2. Real-Time Status Update
The indicator features a comprehensive analysis dashboard that operates with dynamic strength classification:
The dashboard automatically categorizes momentum from "Very Weak" to "Very Strong" based on component amplitude.
Historical comparison displays previous bar metrics for trend analysis, helping traders and investors understand momentum persistence.
Color-coded visualization matches histogram components for immediate recognition of market bias.
Adaptive positioning offers nine customizable table locations for optimal display across different chart layouts.
Regardless of position, the dashboard displays:
Current momentum direction (BULLISH or BEARISH)
Momentum strength percentage (0-100%)
Previous bar comparison for trend persistence
Active component colors for visual consistency
This comprehensive approach helps traders and investors:
→ Assess current momentum strength quantitatively
→ Identify momentum shifts through historical comparison
→ Make informed decisions based on momentum context
3. Reversal Signal Detection System
The indicator generates trading signals using advanced multi-factor validation:
Exhaustion signals are detected when components cross down after exceeding statistical boundaries, indicating potential momentum reversals.
Trend flip alerts are generated when component dominance changes (bull>bear or bear>bull), signaling directional shifts.
Boundary interaction monitoring tracks crossovers above/below impulse threshold for extreme momentum identification.
Visual markers ( X ) are positioned using mathematical placement algorithms for clear signal identification.
The indicator also features a comprehensive alert system with notifications for:
Bullish potential reversals
Bearish potential reversals
Trend flip signals
Momentum boundary crossings
*Alerts can be customized and delivered through TradingView's notification system, making it easy to stay informed of important momentum developments even when away from the charts.
4. Conditional Bar Coloring
The indicator provides optional price bar coloring based on momentum analysis:
Bars are colored based on dominant momentum component (bullish/bearish).
Reversal conditions are highlighted with specialized coloring (default orange).
Color transparency adjusts based on momentum strength for immediate visual feedback.
Bar coloring can be toggled on/off to suit different chart aesthetics and personal preferences.
🟢 Practical Usage Tips
→ Component Analysis and Interpretation: The indicator visualizes momentum direction and strength through separate components, allowing traders to immediately identify dominant market forces. This helps in assessing potential for continuation or reversal.
→ Signal Generation Strategies: The indicator generates potential trading signals based on component crossovers, boundary violations, and momentum exhaustion. Users can focus on reversal signals at statistical extremes or trend-following signals during component dominance.
→ Multi-Component Assessment: Through its bi-directional approach, the indicator enables users to understand competing forces within the same timeframe. This helps in identifying momentum equilibrium and potential turning points.
🟢 Pro Tips
Adjust RSI/CCI ratio based on market conditions:
→ High ratios (70-100) for mean-reverting markets and longer timeframes
→ Low ratios (0-30) for trending markets and shorter timeframes
→ Default 50/50 for balanced momentum assessment across market types
Fine-tune impulse boundary based on volatility:
→ Lower boundary lengths (20-30) for more frequent reversal signals
→ Higher lengths (40-60) for only major momentum extremes
→ Adjust standard deviation multiplier (2.0-4.0) based on market volatility
Look for confluence between components:
→ Component divergence as early reversal warning
→ Simultaneous extreme readings for high-probability setups
→ Component correlation with price for confirmation
Use for multiple trading approaches:
→ Reversal trading at component extremes near impulse boundary
→ Trend following when components show clear dominance
→ Early momentum shift detection with gradient fading patterns
→ Position sizing based on component strength percentage
Combine with:
→ Support/resistance analysis for strategic entry and exit points
→ Volume indicators for momentum validation
→ Multiple timeframe analysis for broader market context
→ Price action patterns for confirmation of reversal signals
Trend Classifier [ChartPrime]Trend Classifier
This is a multi-level trend classification tool that detects bullish, bearish, and ranging conditions using an adaptive smoothing method. It highlights trend strength through color-coded candles and layered bands, making it easy to interpret market momentum visually.
⯁ KEY FEATURES
Classifies trend strength using 3 bullish and 3 bearish levels relative to an adaptive trend line.
Neutral (range) zones are marked when price stays between key bands, often signaling low volatility or consolidation.
Automatically filters band visibility based on current trend direction:
In uptrends, only levels below the price are displayed.
In downtrends, only levels above the price are shown.
Color-coded candles:
Aqua candles for bullish conditions.
Red candles for bearish conditions.
Orange candles during neutral or ranging conditions.
Includes a trend direction change marker (diamond), plotted when a shift in trend is detected.
Plots a central smoothed trend line to anchor the trend bands dynamically.
Displays a trend strength dashboard in the top-right corner with real-time bull and bear scores (0 to 3).
Labels with arrows (▲/▼) show current trend direction and strength on the chart.
⯁ HOW TO USE
Use bull and bear levels (1–3) to assess the momentum of the current trend.
When bull = 0 and bear = 0 , market is considered ranging or consolidating – consider fading or waiting for breakout confirmation.
Trend bands can be used as dynamic support/resistance during trending phases.
Monitor the trend change diamonds to spot potential early reversals.
Combine with volume or oscillator tools for confirmation of strength shifts.
⯁ CONCLUSION
Trend Classifier helps traders stay aligned with the dominant trend while visually breaking down market momentum into levels. Its clean color-coded design and strength dashboard make it ideal for both trend following and range trading strategies.
Sector 50MA vs 200MA ComparisonThis TradingView indicator compares the 50-period Moving Average (50MA) and 200-period Moving Average (200MA) of a selected market sector or index, providing a visual and analytical tool to assess relative strength and trend direction. Here's a detailed breakdown of its functionality:
Purpose: The indicator plots the 50MA and 200MA of a chosen sector or index on a separate panel, highlighting their relationship to identify bullish (50MA > 200MA) or bearish (50MA < 200MA) trends. It also includes a histogram and threshold lines to gauge momentum and key levels.
Inputs:
Resolution: Allows users to select the timeframe for calculations (Daily, Weekly, or Monthly; default is Daily).
Sector Selection: Users can choose from a list of sectors or indices, including Tech, Financials, Consumer Discretionary, Utilities, Energy, Communication Services, Materials, Industrials, Health Care, Consumer Staples, Real Estate, S&P 500 Value, S&P 500 Growth, S&P 500, NASDAQ, Russell 2000, and S&P SmallCap 600. Each sector maps to specific ticker pairs for 50MA and 200MA data.
Data Retrieval:
The indicator fetches closing prices for the 50MA and 200MA of the selected sector using the request.security function, based on the chosen timeframe and ticker pairs.
Visual Elements:
Main Chart:
Plots the 50MA (blue line) and 200MA (red line) for the selected sector.
Fills the area between the 50MA and 200MA with green (when 50MA > 200MA, indicating bullishness) or red (when 50MA < 200MA, indicating bearishness).
Threshold Lines:
Horizontal lines at 0 (zero line), 20 (lower threshold), 50 (center), 80 (upper threshold), and 100 (upper limit) provide reference points for the 50MA's position.
Fills between 0-20 (green) and 80-100 (red) highlight key zones for potential overbought or oversold conditions.
Sector Information Table:
A table in the top-right corner displays the selected sector and its corresponding 50MA and 200MA ticker symbols for clarity.
Alerts:
Generates alert conditions for:
Bullish Crossover: When the 50MA crosses above the 200MA (indicating potential upward momentum).
Bearish Crossover: When the 50MA crosses below the 200MA (indicating potential downward momentum).
Use Case:
Traders can use this indicator to monitor the relative strength of a sector's short-term trend (50MA) against its long-term trend (200MA).
The visual fill between the moving averages and the threshold lines helps identify trend direction, momentum, and potential reversal points.
The sector selection feature allows for comparative analysis across different market segments, aiding in sector rotation strategies or market trend analysis.
This indicator is ideal for traders seeking to analyze sector performance, identify trend shifts, and make informed decisions based on moving average crossovers and momentum thresholds.
Time-Based Fair Value Gaps (FVG) with Inversions (iFVG)Overview
The Time-Based Fair Value Gaps (FVG) with Inversions (iFVG) (ICT/SMT) indicator is a specialized tool designed for traders using Inner Circle Trader (ICT) methodologies. Inspired by LuxAlgo's Fair Value Gap indicator, this script introduces significant enhancements by integrating ICT principles, focusing on precise time-based FVG detection, inversion tracking, and retest signals tailored for institutional trading strategies. Unlike LuxAlgo’s general FVG approach, this indicator filters FVGs within customizable 10-minute windows aligned with ICT’s macro timeframes and incorporates ICT-specific concepts like mitigation, liquidity grabs, and session-based gap prioritization.
This tool is optimized for 1–5 minute charts, though probably best for 1 minute charts, identifying bullish and bearish FVGs, tracking their mitigation into inverted FVGs (iFVGs) as key support/resistance zones, and generating retest signals with customizable “Close” or “Wick” confirmation. Features like ATR-based filtering, optional FVG labels, mitigation removal, and session-specific FVG detection (e.g., first FVG in AM/PM sessions) make it a powerful tool for ICT traders.
Originality and Improvements
While inspired by LuxAlgo’s FVG indicator (credit to LuxAlgo for their foundational work), this script significantly extends the original concept by:
1. Time-Based FVG Detection: Unlike LuxAlgo’s continuous FVG identification, this script filters FVGs within user-defined 10-minute windows each hour (:00–:10, :10–:20, etc.), aligning with ICT’s emphasis on specific periods of institutional activity, such as hourly opens/closes or kill zones (e.g., New York 7:00–11:00 AM EST). This ensures FVGs are relevant to high-probability ICT setups.
2. Session-Specific First FVG Option: A unique feature allows traders to display only the first FVG in ICT-defined AM (9:30–10:00 AM EST) or PM (1:30–2:00 PM EST) sessions, reflecting ICT’s focus on initial market imbalances during key liquidity events.
3. ICT-Driven Mitigation and Inversion Logic: The script tracks FVG mitigation (when price closes through a gap) and converts mitigated FVGs into iFVGs, which serve as ICT-style support/resistance zones. This aligns with ICT’s view that mitigated gaps become critical reversal points, unlike LuxAlgo’s simpler gap display.
4. Customizable Retest Signals: Retest signals for iFVGs are configurable for “Close” (conservative, requiring candle body confirmation) or “Wick” (faster, using highs/lows), catering to ICT traders’ need for precise entry timing during liquidity grabs or Judas swings.
5. ATR Filtering and Mitigation Removal: An optional ATR filter ensures only significant FVGs are displayed, reducing noise, while mitigation removal declutters the chart by removing filled gaps, aligning with ICT’s principle that mitigated gaps lose relevance unless inverted.
6. Timezone and Timeframe Safeguards: A timezone offset setting aligns FVG detection with EST for ICT’s New York-centric strategies, and a timeframe warning alerts users to avoid ≥1-hour charts, ensuring accuracy in time-based filtering.
These enhancements make the script a distinct tool that builds on LuxAlgo’s foundation while offering ICT traders a tailored, high-precision solution.
How It Works
FVG Detection
FVGs are identified when a candle’s low is higher than the high of two candles prior (bullish FVG) or a candle’s high is lower than the low of two candles prior (bearish FVG). Detection is restricted to:
• User-selected 10-minute windows (e.g., :00–:10, :50–:60) to capture ICT-relevant periods like hourly transitions.
• AM/PM session first FVGs (if enabled), focusing on 9:30–10:00 AM or 1:30–2:00 PM EST for key market opens.
An optional ATR filter (default: 0.25× ATR) ensures only gaps larger than the threshold are displayed, prioritizing significant imbalances.
Mitigation and Inversion
When price closes through an FVG (e.g., below a bullish FVG’s bottom), the FVG is mitigated and becomes an iFVG, plotted as a support/resistance zone. iFVGs are critical in ICT for identifying reversal points where institutional orders accumulate.
Retest Signals
The script generates signals when price retests an iFVG:
• Close: Triggers when the candle body confirms the retest (conservative, lower noise).
• Wick: Triggers when the candle’s high/low touches the iFVG (faster, higher sensitivity). Signals are visualized with triangular markers (▲ for bullish, ▼ for bearish) and can trigger alerts.
Visualization
• FVGs: Displayed as colored boxes (green for bullish, red for bearish) with optional “Bull FVG”/“Bear FVG” labels.
• iFVGs: Shown as extended boxes with dashed midlines, limited to the user-defined number of recent zones (default: 5).
• Mitigation Removal: Mitigated FVGs/iFVGs are removed (if enabled) to keep the chart clean.
How to Use
Recommended Settings
• Timeframe: Use 1–5 minute charts for precision, avoiding ≥1-hour timeframes (a warning label appears if misconfigured).
• Time Windows: Enable :00–:10 and :50–:60 for hourly open/close FVGs, or use the “Show only 1st presented FVG” option for AM/PM session focus.
• ATR Filter: Keep enabled (multiplier 0.25–0.5) for significant gaps; disable on 1-minute charts for more FVGs during volatility.
• Signal Preference: Use “Close” for conservative entries, “Wick” for aggressive setups.
• Timezone Offset: Set to -5 for EST (or -4 for EDT) to align with ICT’s New York session.
Trading Strategy
1. Macro Timeframes: Focus on New York (7:00–11:00 AM EST) or London (2:00–5:00 AM EST) kill zones for high institutional activity.
2. FVG Entries: Trade bullish FVGs as support in uptrends or bearish FVGs as resistance in downtrends, especially in :00–:10 or :50–:60 windows.
3. iFVG Retests: Enter on retest signals (▲/▼) during liquidity grabs or Judas swings, using “Close” for confirmation or “Wick” for speed.
4. Session FVGs: Use the “Show only 1st presented FVG” option to target the first gap in AM/PM sessions, often tied to ICT’s market maker algorithms.
5. Risk Management: Combine with ICT concepts like order blocks or breaker blocks for confluence, and set stops beyond FVG/iFVG boundaries.
Alerts
Set alerts for:
• “Bullish FVG Detected”/“Bearish FVG Detected”: New FVGs in selected windows.
• “Bullish Signal”/“Bearish Signal”: iFVG retest confirmations.
Settings Description
• Show Last (1–100, default: 5): Number of recent iFVGs to display. Lower values reduce clutter.
• Show only 1st presented FVG : Limits FVGs to the first in 9:30–10:00 AM or 1:30–2:00 PM EST sessions (overrides time window checkboxes).
• Time Window Checkboxes: Enable/disable FVG detection in 10-minute windows (:00–:10, :10–:20, etc.). All enabled by default.
• Signal Preference: “Close” (default) or “Wick” for iFVG retest signals.
• Use ATR Filter: Enables ATR-based size filtering (default: true).
• ATR Multiplier (0–∞, default: 0.25): Sets FVG size threshold (higher values = larger gaps).
• Remove Mitigated FVGs: Removes filled FVGs/iFVGs (default: true).
• Show FVG Labels: Displays “Bull FVG”/“Bear FVG” labels (default: true).
• Timezone Offset (-12 to 12, default: -5): Aligns time windows with EST.
• Colors: Customize bullish (green), bearish (red), and midline (gray) colors.
Why Use This Indicator?
This indicator empowers ICT traders with a tool that goes beyond generic FVG detection, offering precise, time-filtered gaps and inversion tracking aligned with institutional trading principles. By focusing on ICT’s macro timeframes, session-specific imbalances, and customizable signal logic, it provides a clear edge for scalping, swing trading, or reversal setups in high-liquidity markets.
[blackcat] L3 Cloud PioneerOVERVIEW
The L3 Cloud Pioneer indicator combines elements of the Ichimoku Kinko Hyo system with Donchian Channels to provide a robust trend-following tool. This enhanced version includes detailed trade signal labels and alerts, helping traders identify potential entry and exit points more clearly. By plotting dynamic cloud areas and providing visual cues, this indicator aids in making informed trading decisions 📊📉↗️.
FEATURES
Calculates key Ichimoku components using custom Donchian Channel logic:
Conversion Line (based on highest/highest values over specified periods).
Base Line.
Leading Spans.
Lagging Span 2.
Plots a dynamic cloud area between Leading Span 1 and Leading Span 2, colored based on trend direction 🎨.
Identifies trend changes and provides clear entry/exit signals:
LE: Long Entry (when trend turns bullish).
SE: Short Entry (when trend turns bearish).
XL: Exit Long (price crosses below Leading Span 1 during an uptrend).
RL: Re-enter Long (price crosses above Leading Span 1 during an uptrend).
XS: Exit Short (price crosses above Leading Span 1 during a downtrend).
RS: Re-enter Short (price crosses below Leading Span 1 during a downtrend).
Displays corresponding labels on the chart for easy visualization, complete with tooltips for additional information 🏷️.
Generates alerts for each signal event to keep users informed about potential trades 🔔.
Supports customizable input parameters for conversion line, base line, and lagging span periods ⚙️.
HOW TO USE
Add the indicator to your TradingView chart by selecting it from the indicators list.
Adjust the input parameters (Conversion Line Periods, Base Line Periods, Lagging Span 2 Periods) to fit your preferences.
Observe the plotted cloud and labels for trend direction and potential trade opportunities.
Set up alerts based on the generated signals to receive notifications when conditions are met 📲.
Combine this indicator with other tools for confirmation before making trading decisions.
DETAILED SIGNAL LOGIC
Trend Determination:
The script determines the trend direction by comparing leading_line1 and leading_line2.
If leading_line1 is above leading_line2, the trend is considered bullish (isBullish). Otherwise, it's bearish (isBearish).
Signal Conditions:
Long Entry (LE): Triggered when the trend turns bullish from bearish.
Short Entry (SE): Triggered when the trend turns bearish from bullish.
Exit Long (XL): Triggered when the price crosses below leading_line1 during an uptrend.
Re-enter Long (RL): Triggered when the price crosses above leading_line1 during an uptrend.
Exit Short (XS): Triggered when the price crosses above leading_line1 during a downtrend.
Re-enter Short (RS): Triggered when the price crosses below leading_line1 during a downtrend.
Label Styling:
Labels are color-coded for quick identification:
Green for long entries and re-entries.
Red for short entries and exits.
Blue for exiting long positions.
Orange for re-entering short positions.
Tooltips provide additional context for each label.
Alert Configuration:
Alerts are generated for each signal condition, ensuring traders are notified promptly.
Users can set up these alerts within TradingView by creating new alerts and selecting the appropriate conditions.
LIMITATIONS
The indicator may lag behind price action due to its use of moving averages and channel calculations 🕒.
False signals can occur in choppy or sideways markets 🌪️.
Users should always confirm signals with other forms of analysis.
NOTES
Ensure that you have sufficient historical data available for accurate calculations.
Test the indicator thoroughly on demo accounts before applying it to live trading 🔍.
Customize the appearance and parameters as needed to fit your trading strategy.
For better risk management, consider integrating stop-loss and take-profit levels into your trading plan.
To optimize performance, manage old labels by deleting them after a certain period to avoid clutter on the chart.
MTF Analysis Panel [Invesmate]MTF Analysis Panel
This indicator provides a compact Multi-Timeframe (MTF) view of trend and momentum conditions directly on the chart. It combines EMA trend checks, RSI momentum checks, and optional Relative Strength analysis to offer an intuitive overview of market structure across intraday, daily, weekly, and monthly timeframes.
Trend and Momentum Analysis
The script uses two primary methods for assessing the market:
Trend Detection: Based on price relation to a user-selected EMA for each timeframe.
Momentum Detection: Based on whether RSI is above or below 50 for each timeframe.
Users can independently toggle these modules through inputs to customize the panel for different analysis needs.
Trend and momentum are calculated separately to avoid bias, helping traders capture the real state of the market across multiple timeframes.
Relative Strength (Optional)
If enabled, when either Weekly or Monthly timeframes are selected, the panel will display Relative Strength (RS ) data.
RS measures the stock's performance relative to a benchmark symbol (like NSE:NIFTY).
This value shows the percent outperformance or underperformance over a user-defined period (default 55 days), allowing deeper market strength analysis.
Table and Display Logic
The indicator draws a neat panel on the chart using TradingView’s table functionality.
Each selected timeframe (15m, 1h, 4h, 1D, 1W, 1M) will display:
Trend (EMA): Green for bullish trend (Price > EMA), Red for bearish trend (Price < EMA), Gray if neutral or not applicable.
Momentum (RSI): Green if RSI > 50, Red if RSI < 50, Gray if neutral.
Symbols for trend and momentum can be customized between:
Emoji mode (e.g., 🟢, 🔴, 🟦, 🟥)
Text mode (e.g., UP, DOWN, NEUTRAL)
The panel is customizable for position (Top Left, Top Right, Bottom Left, Bottom Right) to fit user preference.
Color Codes
Strong Bullish: All selected timeframes are trending up and momentum is rising — shown with a light green background.
Strong Bearish: All selected timeframes are trending down and momentum is falling — shown with a light red background.
Mixed: Any mixed state (some up, some down) — shown with a neutral gray background.
This helps traders instantly recognize overall market sentiment without manually checking individual timeframes.
Summary Labels
At the bottom of the panel, two powerful summaries are displayed:
Trend Summary: Overall trend aggregation across selected timeframes ("STRONG BULLISH", "STRONG BEARISH", or "MIXED").
Momentum Summary: Overall momentum aggregation ("MOMENTUM UP", "MOMENTUM DOWN", or "MOMENTUM MIXED").
When Relative Strength is available (Weekly or Monthly enabled), it is also shown separately at the bottom, providing a complete strength-versus-benchmark view.
Input Controls
Enable EMA Trend Check: Toggle EMA-based trend detection.
Enable RSI Momentum Check: Toggle RSI-based momentum detection.
Timeframes to Display: 15m, 1h, 4h, 1D, 1W, 1M can be independently turned on or off.
EMA Length per Timeframe: Customize EMA lengths for different timeframes.
RSI Length: Set RSI calculation period.
Comparative Symbol: Select the benchmark symbol for Relative Strength calculations.
RS Period: Choose the lookback period for Relative Strength.
Emoji Display Toggle: Switch between emoji-based or text-based display styles.
Table Location: Choose where the analysis panel appears on the chart.
Special Features
Realtime Updating: The panel updates dynamically as bars close, maintaining real-time relevance.
Maximum Label Control : Designed to respect TradingView's maximum label limits to avoid runtime errors.
Optimized for Performance: Uses conditional requests and security calls efficiently, minimizing script execution load.
Known Limitations
Request.security limitations: Relative Strength is only calculated on Daily data for stability; lower timeframe RS is not implemented.
TradingView Table Size: On some screen sizes or with many timeframes selected, table may overlap candles. Adjust panel location accordingly.
RSI with HMA & Momentum ZonesRSI with HMA & Momentum Zones — Indicator Description
This indicator combines Relative Strength Index (RSI) analysis with Hull Moving Averages (HMA) and Momentum Zone detection to provide a multi-layered view of market strength, trend shifts, and divergence signals.
It includes:
Main Features:
RSI Core:
Standard RSI calculated from a customizable source (close, open, etc.) with adjustable length.
A dynamic RSI Signal Line is plotted with selectable smoothing types (SMA, EMA, SMMA, WMA, VWMA) to enhance trend-following signals.
RSI crossovers of its signal line change color (green for bullish crossovers, red for bearish crossunders).
Hull Moving Averages (HMA):
Two HMA lines are plotted based on the RSI:
Short HMA (fast) and Long HMA (slow).
Color shifts indicate crossovers between RSI and Short HMA (short-term trend change) and Short HMA vs Long HMA (longer-term trend shifts).
Momentum Zones:
When the gap between the RSI and the Long HMA exceeds a user-defined threshold:
A green background highlights strong bullish momentum.
A red background highlights strong bearish momentum.
Helps visualize when momentum becomes extended.
Divergence Detection (Optional):
Regular and hidden bullish and bearish divergences are automatically detected between price and RSI.
Divergences are plotted on the RSI pane with labels ("Bull", "H Bull", "Bear", "H Bear").
Adjustable lookback settings for fine-tuning sensitivity.
Alerts are available for all divergence events.
Visual Enhancements:
A shaded cloud fills between RSI and its signal line, green for bullish bias and red for bearish bias.
Horizontal bands at 70, 50, and 30 levels to mark traditional RSI zones (overbought, neutral, oversold).
Customization Options:
All major components — RSI settings, Signal Line type, HMA lengths, Momentum Zone threshold, and Divergence controls — are fully adjustable.
